{ "attributes":{ "history": "02/05/26, manual resolution with NorESMhub/fates#52" }, "dimensions":{ "fates_NCWD": 4, "fates_history_age_bins": 19, "fates_history_coage_bins": 2, "fates_history_damage_bins": 2, "fates_history_height_bins": 6, "fates_history_size_bins": 13, "fates_hlm_pftno": 14, "fates_hydr_organs": 4, "fates_landuseclass": 5, "fates_leafage_class": 1, "fates_litterclass": 6, "fates_pft": 15, "fates_plant_organs": 4 }, "parameters":{ "fates_history_ageclass_bin_edges":{ "dtype": "float", "dims": ["fates_history_age_bins"], "long_name": "Lower edges for age class bins used in age-resolved patch history output", "units": "yr", "data": [0.0, 5.0, 10.0, 15.0, 20.0, 40.0, 60.0, 80.0, 100.0, 120.0, 140.0, 160.0, 180.0, 200.0, 220.0, 240.0, 260.0, 280.0, 300.0] }, "fates_history_coageclass_bin_edges":{ "dtype": "float", "dims": ["fates_history_coage_bins"], "long_name": "Lower edges for cohort age class bins used in cohort age resolved history output", "units": "years", "data": [0.0, 5.0] }, "fates_history_height_bin_edges":{ "dtype": "float", "dims": ["fates_history_height_bins"], "long_name": "Lower edges for height bins used in height-resolved history output", "units": "m", "data": [0.0, 0.1, 0.3, 1.0, 3.0, 10.0] }, "fates_history_sizeclass_bin_edges":{ "dtype": "float", "dims": ["fates_history_size_bins"], "long_name": "Lower edges for DBH size class bins used in size-resolved cohort history output", "units": "cm", "data": [0.0, 5.0, 10.0, 15.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0] }, "fates_history_damage_bin_edges":{ "dtype": "float", "dims": ["fates_history_damage_bins"], "long_name": "Lower edges for damage class bins used in cohort history output", "units": "% crown loss", "data": [0.0, 80.0] }, "fates_hydro_htftype_node":{ "dtype": "integer", "dims": ["fates_hydr_organs"], "long_name": "Switch that defines the hydraulic transfer functions for each organ.", "units": "unitless", "data": [1, 1, 1, 1] }, "fates_hydro_organ_name":{ "dtype": "string", "dims": ["fates_hydr_organs"], "long_name": "Name of plant hydraulics organs (DONT CHANGE, order matches media list in FatesHydraulicsMemMod.F90)", "units": "unitless - string", "data": ["leaf", "stem", "transporting root", "absorbing root"] }, "fates_alloc_organ_id":{ "dtype": "integer", "dims": ["fates_plant_organs"], "long_name": "This is the global index that the organ in this file is associated with, values match those in parteh/PRTGenericMod.F90", "units": "unitless", "data": [1, 2, 3, 6] }, "fates_alloc_organ_name":{ "dtype": "string", "dims": ["fates_plant_organs"], "long_name": "Name of plant organs (with alloc_organ_id, must match PRTGenericMod.F90)", "units": "unitless - string", "data": ["leaf", "fine root", "sapwood", "structure"] }, "fates_alloc_storage_cushion":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum size of storage C pool, relative to maximum size of leaf C pool", "units": "fraction", "data": [3.0, 2.4, 2.4, 2.4, 2.4, 3.4, 2.4, 2.4, 2.4, 2.4, 2.4, 2.4, 2.4, 2.4, 2.4] }, "fates_alloc_store_priority_frac":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "for high-priority organs, the fraction of their turnover demand that is gauranteed to be replaced, and if need-be by storage", "units": "unitless", "data": [0.5, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.7, 0.6, 0.3, 0.3, 0.01, 0.01] }, "fates_allom_agb1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 1 for agb allometry", "units": "variable", "data": [0.0673, 0.01581217, 0.0421922, 0.1375641, 0.0673, 0.0803825, 0.06896, 0.06896, 0.06896, 0.06896, 0.06896, 0.001, 0.001, 0.003, 0.001] }, "fates_allom_agb2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 2 for agb allometry", "units": "variable", "data": [0.976, 1.109661, 1.0761814, 0.8956504, 0.976, 1.0221543, 0.572, 0.572, 0.572, 0.5289883, 0.6853945, 1.6592, 1.6592, 1.3456, 1.6592] }, "fates_allom_agb3":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 3 for agb allometry", "units": "variable", "data": [1.94, 1.94, 1.94, 1.94, 1.94, 1.94, 1.94, 1.94, 1.94, 2.1010352, 1.7628613, 1.248, 1.248, 1.869, 1.248] }, "fates_allom_agb4":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 4 for agb allometry", "units": "variable", "data": [0.931, 0.931, 0.931, 0.931, 0.931, 0.931, 0.931, 0.931, 0.931, 0.931, 0.931, -999.9, -999.9, -999.9, -999.9] }, "fates_allom_agb_frac":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fraction of woody biomass that is above ground", "units": "fraction", "data": [0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.6, 0.6, 0.6, 0.5, 0.4, 0.5, 1.0, 1.0, 1.0] }, "fates_allom_amode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "AGB allometry function index.", "units": "index", "data": [3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 5, 5, 5, 5] }, "fates_allom_blca_expnt_diff":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "difference between allometric DBH bleaf and DBH crown area exponents", "units": "unitless", "data": [-0.12, -0.25, -0.32, -0.22, -0.12, -0.35, 0.0, 0.0, 0.0, 0.0, 0.0, -0.487, -0.487, -0.259, -0.487] }, "fates_allom_cmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "coarse root biomass allometry function index.", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_allom_d2bl1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 1 for d2bl allometry", "units": "variable", "data": [0.04, 0.025, 0.05, 0.01, 0.04, 0.07, 0.07, 0.07, 0.05, 0.018, 0.018, 0.018, 0.04, 0.04, 0.04] }, "fates_allom_d2bl2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 2 for d2bl allometry", "units": "variable", "data": [1.6019679, 1.5234373, 1.3051237, 1.9621397, 1.6019679, 1.3998939, 1.3, 1.3, 1.3, 1.0600586, 1.7176758, 1.7092, 1.7092, 1.5879, 1.7092] }, "fates_allom_d2bl3":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 3 for d2bl allometry", "units": "unitless", "data": [0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.55, 0.3417, 0.3417, 0.9948, 0.3417] }, "fates_allom_d2ca_coefficient_max":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "max (savanna) dbh to area multiplier factor where area n*d2ca_coeff*dbh^beta", "units": "m2 cm^(-1/beta)", "data": [0.2715891, 0.3693718, 1.0787259, 0.0579297, 0.2715891, 1.1553612, 0.6568464, 0.6568464, 0.6568464, 0.4363427, 0.3166497, 0.3, 0.25, 0.15, 0.25] }, "fates_allom_d2ca_coefficient_min":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "min (forest) dbh to area multiplier factor where area n*d2ca_coeff*dbh^beta", "units": "m2 cm^(-1/beta)", "data": [0.2715891, 0.3693718, 1.0787259, 0.0579297, 0.2715891, 1.1553612, 0.6568464, 0.6568464, 0.6568464, 0.4363427, 0.3166497, 0.3, 0.25, 0.15, 0.25] }, "fates_allom_d2h1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 1 for d2h allometry (intercept, or c)", "units": "variable", "data": [78.4087704, 306.842667, 106.8745821, 104.3586841, 78.4087704, 31.4557047, 0.64, 0.64, 0.64, 0.8165625, 0.778125, 0.1812, 0.1812, 0.3353, 0.1812] }, "fates_allom_d2h2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 2 for d2h allometry (slope, or m)", "units": "variable", "data": [0.8124383, 0.752377, 0.9471302, 1.1146973, 0.8124383, 0.9734088, 0.37, 0.37, 0.37, 0.2316113, 0.4027002, 0.6384, 0.6384, 0.4235, 0.6384] }, "fates_allom_d2h3":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 3 for d2h allometry (optional)", "units": "variable", "data": [47.6666164, 196.6865691, 93.9790461, 160.6835089, 47.6666164, 16.5928174, -999.9, -999.9, -999.9, -999.9, -999.9, -999.9, -999.9, -999.9, -999.9] }, "fates_allom_dbh_maxheight":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the diameter (if any) corresponding to maximum height, diameters may increase beyond this", "units": "cm", "data": [1000.0, 1000.0, 1000.0, 1000.0, 1000.0, 1000.0, 3.0, 3.0, 2.0, 2.4, 1.9, 20.0, 20.0, 30.0, 20.0] }, "fates_allom_dmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "crown depth allometry function index", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_allom_fmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "fine root biomass allometry function index.", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_allom_fnrt_prof_a":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fine root profile function, parameter a", "units": "unitless", "data": [7.0, 7.0, 7.0, 7.0, 6.0, 6.0, 7.0, 7.0, 7.0, 7.0, 7.0, 11.0, 11.0, 11.0, 11.0] }, "fates_allom_fnrt_prof_b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fine root profile function, parameter b", "units": "unitless", "data": [0.3, 2.0, 2.0, 1.0, 2.0, 2.0, 1.5, 1.5, 1.5, 1.5, 1.5, 2.29, 2.0, 2.0, 2.0] }, "fates_allom_fnrt_prof_mode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "Index to select fine root profile function 1) Jackson Beta, 2) 1-param exponential 3) 2-param exponential", "units": "index", "data": [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3] }, "fates_allom_frbstor_repro":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of bstore goes to reproduction after plant dies", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_allom_h2cd1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 1 for h2cd allometry (exp(log-intercept) or scaling). If allom_dmode1 this is the same as former crown_depth_frac parameter", "units": "variable", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.95, 0.95, 0.95, 0.95, 0.95, 1.0, 1.0, 1.0, 1.0] }, "fates_allom_h2cd2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Parameter 2 for h2cd allometry (log-slope or exponent). If allom_dmode1 this is not needed (as exponent is assumed 1)", "units": "variable", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_allom_hmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "height allometry function index.", "units": "index", "data": [5, 5, 5, 5, 5, 5, 1, 1, 1, 1, 1, 3, 3, 3, 3] }, "fates_allom_l2fr":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Allocation parameter fine root C per leaf C", "units": "gC/gC", "data": [1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7, 0.7, 0.75, 1.4, 1.3, 1.3, 2.3, 1.5] }, "fates_allom_la_per_sa_int":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf area per sapwood area, intercept", "units": "m2/cm2", "data": [0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8] }, "fates_allom_la_per_sa_slp":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf area per sapwood area rate of change with height, slope (optional)", "units": "m2/cm2/m", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_allom_lmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "leaf biomass allometry function index.", "units": "index", "data": [2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 5, 5, 5, 5] }, "fates_allom_sai_scaler":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "allometric ratio of SAI per LAI", "units": "m2/m2", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_allom_smode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "sapwood allometry function index.", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2] }, "fates_allom_stmode":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "storage allometry function index 1) Storage proportional to leaf biomass (with trimming), 2) Storage proportional to maximum leaf biomass (not trimmed)", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_allom_zroot_k":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "scale coefficient of logistic rooting depth model", "units": "unitless", "data": [10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0] }, "fates_allom_zroot_max_dbh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "dbh at which a plant reaches the maximum value for its maximum rooting depth", "units": "cm", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0] }, "fates_allom_zroot_max_z":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the maximum rooting depth defined at dbh fates_allom_zroot_max_dbh. note max_zmin_zlarge, sets rooting depth to soil depth", "units": "m", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0] }, "fates_allom_zroot_min_dbh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "dbh at which the maximum rooting depth for a recruit is defined", "units": "cm", "data": [1.0, 1.0, 1.0, 2.5, 2.5, 2.5, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_allom_zroot_min_z":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the maximum rooting depth defined at dbh fates_allom_zroot_min_dbh. note max_zmin_zlarge, sets rooting depth to soil depth", "units": "m", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0] }, "fates_c2b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Carbon to biomass multiplier of bulk structural tissues", "units": "ratio", "data": [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0] }, "fates_cnp_eca_alpha_ptase":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "(INACTIVE, KEEP AT 0) fraction of P from ptase activity sent directly to plant (ECA)", "units": "g/m3", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_eca_decompmicc":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum soil microbial decomposer biomass found over depth (will be applied at a reference depth w/ exponential attenuation) (ECA)", "units": "gC/m3", "data": [280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0, 280.0] }, "fates_cnp_eca_km_nh4":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "half-saturation constant for plant nh4 uptake (ECA)", "units": "gN/m3", "data": [0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14, 0.14] }, "fates_cnp_eca_km_no3":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "half-saturation constant for plant no3 uptake (ECA)", "units": "gN/m3", "data": [0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27, 0.27] }, "fates_cnp_eca_km_p":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "half-saturation constant for plant p uptake (ECA)", "units": "gP/m3", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_cnp_eca_km_ptase":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "half-saturation constant for biochemical P (ECA)", "units": "gP/m3", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_cnp_eca_lambda_ptase":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "(INACTIVE, KEEP AT 0) critical value for biochemical production (ECA)", "units": "g/m3", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_eca_vmax_ptase":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum production rate for biochemical P (per m2) (ECA)", "units": "gP/m2/s", "data": [5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09, 5e-09] }, "fates_cnp_nfix1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fractional surcharge added to maintenance respiration that drives symbiotic fixation", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_nitr_store_ratio":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "storeable (labile) N, as a ratio compared to the N bound in cell structures of other organs (see code)", "units": "(gN/gN)", "data": [1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5] }, "fates_cnp_phos_store_ratio":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "storeable (labile) P, as a ratio compared to the P bound in cell structures of other organs (see code)", "units": "(gP/gP)", "data": [1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5, 1.5] }, "fates_cnp_pid_kd":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "derivative constant of the PID controller on adaptive fine-root biomass", "units": "unknown", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_cnp_pid_ki":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "integral constant of the PID controller on adaptive fine-root biomass", "units": "unknown", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_pid_kp":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "proportional constant of the PID controller on adaptive fine-root biomass", "units": "unknown", "data": [0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.0005] }, "fates_cnp_prescribed_nuptake":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Prescribed N uptake flux. 0fully coupled simulation >0prescribed (experimental)", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_prescribed_puptake":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Prescribed P uptake flux. 0fully coupled simulation, >0prescribed (experimental)", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_cnp_store_ovrflw_frac":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "size of overflow storage (for excess C,N or P) as a fraction of storage target", "units": "fraction", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_cnp_vmax_nh4":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum (potential) uptake rate of NH4 per gC of fineroot biomass (see main/EDPftvarcon.F90 vmax_nh4 for usage)", "units": "gN/gC/s", "data": [2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09] }, "fates_cnp_vmax_no3":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum (potential) uptake rate of NO3 per gC of fineroot biomass (see main/EDPftvarcon.F90 vmax_no3 for usage)", "units": "gN/gC/s", "data": [2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09, 2.5e-09] }, "fates_cnp_vmax_p":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum production rate for phosphorus (ECA and RD)", "units": "gP/gC/s", "data": [5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10, 5e-10] }, "fates_damage_frac":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of cohort damaged in each damage event (event frequency specified in the is_it_damage_time subroutine)", "units": "fraction", "data": [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] }, "fates_damage_mort_p1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "inflection point of damage mortality function, a value of 0.8 means 50% mortality with 80% loss of crown, turn off with a large number", "units": "fraction", "data": [9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0, 9.0] }, "fates_damage_mort_p2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "rate of mortality increase with damage", "units": "unitless", "data": [5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5, 5.5] }, "fates_damage_recovery_scalar":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of the cohort that recovers from damage", "units": "unitless", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_dev_arbitrary_pft":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Unassociated pft dimensioned free parameter that developers can use for testing arbitrary new hypotheses", "units": "unknown", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_fire_alpha_SH":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "spitfire parameter, alpha scorch height, Equation 16 Thonicke et al 2010", "units": "m / (kw/m)**(2/3)", "data": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2] }, "fates_fire_bark_scaler":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the thickness of a cohorts bark as a fraction of its dbh", "units": "fraction", "data": [0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07, 0.07] }, "fates_fire_crown_kill":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fire parameter, see equation 22 in Thonicke et al 2010", "units": "NA", "data": [0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775, 0.775] }, "fates_frag_fnrt_fcel":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fine root litter cellulose fraction", "units": "fraction", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5] }, "fates_frag_fnrt_flab":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fine root litter labile fraction", "units": "fraction", "data": [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] }, "fates_frag_fnrt_flig":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Fine root litter lignin fraction", "units": "fraction", "data": [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] }, "fates_frag_leaf_fcel":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf litter cellulose fraction", "units": "fraction", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5] }, "fates_frag_leaf_flab":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf litter labile fraction", "units": "fraction", "data": [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] }, "fates_frag_leaf_flig":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf litter lignin fraction", "units": "fraction", "data": [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] }, "fates_frag_seed_decay_rate":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of seeds that decay per year", "units": "yr-1", "data": [0.51, 0.25, 0.25, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51, 0.51] }, "fates_grperc":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Growth respiration factor", "units": "unitless", "data": [0.35, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25] }, "fates_hydro_avuln_gs":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "shape parameter for stomatal control of water vapor exiting leaf", "units": "unitless", "data": [2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5, 2.5] }, "fates_hydro_k_lwp":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "inner leaf humidity scaling coefficient", "units": "unitless", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_hydro_p50_gs":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "water potential at 50% loss of stomatal conductance", "units": "MPa", "data": [-1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5, -1.5] }, "fates_hydro_p_taper":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "xylem taper exponent", "units": "unitless", "data": [0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333, 0.333] }, "fates_hydro_rfrac_stem":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of total tree resistance from troot to canopy", "units": "fraction", "data": [0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625, 0.625] }, "fates_hydro_rs2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "absorbing root radius", "units": "m", "data": [0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001, 0.0001] }, "fates_hydro_srl":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "specific root length", "units": "m g-1", "data": [25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0, 25.0] }, "fates_init_seed":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "initial seed pool (only applied at coldstart)", "units": "kg/m2", "data": [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] }, "fates_landuse_grazing_palatability":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Relative intensity of leaf grazing/browsing per PFT", "units": "unitless 0-1", "data": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.3, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_landuse_clearing_mortality": { "dtype": "float", "dims": ["fates_pft"], "long_name": "Fraction of PFT killed during land use clearing to rangeland", "units": "fraction", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_landuse_harvest_pprod10":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of harvest wood product that goes to 10-year product pool (remainder goes to 100-year pool)", "units": "fraction", "data": [1.0, 0.75, 0.75, 0.75, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_landuse_luc_frac_burned":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of land use change-generated and not-exported material that is burned (the remainder goes to litter)", "units": "fraction", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5] }, "fates_landuse_luc_frac_exported":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of land use change-generated wood material that is exported to wood product (the remainder is either burned or goes to litter)", "units": "fraction", "data": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.2, 0.2, 0.2, 0.2, 0.2, 0.0, 0.0, 0.0, 0.0] }, "fates_landuse_luc_pprod10":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of land use change wood product that goes to 10-year product pool (remainder goes to 100-year pool)", "units": "fraction", "data": [1.0, 0.75, 0.75, 0.75, 1.0, 0.75, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_leaf_agross_btran_model":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "model switch for how gross assimilation affects conductance. See LeafBiophysicsMod.F90, integer constants btran_on_", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_leaf_c3psn":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "Photosynthetic pathway (1c3, 0c4)", "units": "flag", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1] }, "fates_leaf_fnps":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of light absorbed by non-photosynthetic pigments", "units": "fraction", "data": [0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15, 0.15] }, "fates_leaf_jmaxha":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "activation energy for jmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol", "data": [43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0, 43540.0] }, "fates_leaf_jmaxhd":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "deactivation energy for jmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol", "data": [152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0, 152040.0] }, "fates_leaf_jmaxse":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "entropy term for jmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol/K", "data": [495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0, 495.0] }, "fates_leaf_slamax":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Maximum Specific Leaf Area (SLA), even if under a dense canopy", "units": "m^2/gC", "data": [0.03, 0.03, 0.025, 0.03, 0.05, 0.05, 0.012, 0.03, 0.03, 0.012, 0.032, 0.05, 0.05, 0.05, 0.05] }, "fates_leaf_slatop":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Specific Leaf Area (SLA) at top of canopy, projected area basis", "units": "m^2/gC", "data": [0.024, 0.01, 0.028, 0.024, 0.02, 0.028, 0.012, 0.03, 0.03, 0.01, 0.025, 0.027, 0.03, 0.035, 0.03] }, "fates_leaf_stomatal_btran_model":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "model switch for how btran affects conductance. See LeafBiophysicsMod.F90, integer constants btran_on_", "units": "index", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] }, "fates_leaf_stomatal_intercept":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Minimum unstressed stomatal conductance for Ball-Berry model and Medlyn model", "units": "umol H2O/m**2/s", "data": [27443.3, 12943.3, 428.75, 26779.681, 12869.022, 6205.777, 10000.0, 10000.0, 3750.669, 10000.0, 20000.0, 100.05, 118331.9, 20000.0, 118331.9] }, "fates_leaf_stomatal_slope_ballberry":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "stomatal slope parameter, as per Ball-Berry", "units": "unitless", "data": [10.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0] }, "fates_leaf_stomatal_slope_medlyn":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "stomatal slope parameter, as per Medlyn", "units": "KPa**0.5", "data": [3.25, 1.806, 3.812, 4.038, 3.159, 4.7, 4.7, 4.7, 2.503, 4.7, 4.7, 2.32, 7.6, 0.967, 7.6] }, "fates_leaf_vcmaxha":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "activation energy for vcmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol", "data": [65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0, 65330.0] }, "fates_leaf_vcmaxhd":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "deactivation energy for vcmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol", "data": [149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0, 149250.0] }, "fates_leaf_vcmaxse":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "entropy term for vcmax. NOTE if fates_leaf_photo_tempsens_model2 then these values are NOT USED", "units": "J/mol/K", "data": [485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0, 485.0] }, "fates_leafn_vert_scaler_coeff1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Coefficient one for decrease in leaf nitrogen through the canopy, from Lloyd et al. 2010.", "units": "unitless", "data": [0.0079, 0.014, 0.0048, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963] }, "fates_leafn_vert_scaler_coeff2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Coefficient two for decrease in leaf nitrogen through the canopy, from Lloyd et al. 2010.", "units": "unitless", "data": [1.357, 1.412, 1.23, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 1.82, 2.607, 2.43, 2.607] }, "fates_maintresp_leaf_atkin2017_baserate":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf maintenance respiration base rate parameter (r0) per Atkin et al 2017", "units": "umol CO2/m^2/s", "data": [1.734, 2.169, 2.104, 2.104, 2.069, 1.622, 2.0749, 2.0749, 2.0749, 2.0749, 2.0749, 2.079, 2.0749, 2.182, 2.0749] }, "fates_maintresp_leaf_ryan1991_baserate":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf maintenance respiration base rate per Ryan et al 1991", "units": "gC/gN/s", "data": [2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06, 2.525e-06] }, "fates_maintresp_leaf_vert_scaler_coeff1":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf maintenance respiration decrease through the canopy. Only applies to Atkin et al. 2017. For proportionality between photosynthesis and respiration through the canopy, match with fates_leafn_vert_scaler_coeff1.", "units": "unitless", "data": [0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963, 0.00963] }, "fates_maintresp_leaf_vert_scaler_coeff2":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf maintenance respiration decrease through the canopy. Only applies to Atkin et al. 2017. For proportionality between photosynthesis and respiration through the canopy, match with fates_leafn_vert_scaler_coeff2.", "units": "unitless", "data": [2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43, 2.43] }, "fates_maintresp_reduction_curvature":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "curvature of MR reduction as f(carbon storage), 1linear, 0very curved", "units": "unitless (0-1)", "data": [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] }, "fates_maintresp_reduction_intercept":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "intercept of MR reduction as f(carbon storage), 0no throttling, 1max throttling", "units": "unitless (0-1)", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_maintresp_reduction_upthresh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "upper threshold for storage biomass (relative to leaf biomass) above which MR is not reduced", "units": "unitless (0-1)", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_mort_bmort":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "background mortality rate", "units": "1/yr", "data": [0.02, 0.02, 0.02, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.004, 0.014, 0.014, 0.05, 0.014] }, "fates_mort_freezetol":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "minimum temperature tolerance", "units": "degrees C", "data": [2.5, -55.0, -80.0, -30.0, 2.5, -80.0, -60.0, -10.0, -80.0, -71.0, -95.0, -89.0, -20.0, 2.5, -20.0] }, "fates_mort_hf_flc_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "plant fractional loss of conductivity at which drought mortality begins for hydraulic model", "units": "fraction", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5] }, "fates_mort_hf_sm_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "soil moisture (btran units) at which drought mortality begins for non-hydraulic model", "units": "unitless", "data": [0.5, 0.4, 0.4, 0.4, 0.1, 0.4, 0.1, 0.1, 0.1, 0.1, 0.2, 0.2, 0.03, 0.03, 0.03] }, "fates_mort_ip_age_senescence":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Mortality cohort age senescence inflection point. If _ this mortality term is off. Setting this value turns on age dependent mortality.", "units": "years", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_mort_ip_size_senescence":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Mortality dbh senescence inflection point. If _ this mortality term is off. Setting this value turns on size dependent mortality", "units": "dbh cm", "data": [140, 155, 175, 175, 140, 135, 175, null, null, null, null, null, null, null, null] }, "fates_mort_prescribed_canopy":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "mortality rate of canopy trees for prescribed physiology mode", "units": "1/yr", "data": [0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194, 0.0194] }, "fates_mort_prescribed_understory":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "mortality rate of understory trees for prescribed physiology mode", "units": "1/yr", "data": [0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025, 0.025] }, "fates_mort_r_age_senescence":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Mortality age senescence rate of change. Sensible range is around 0.03-0.06. Larger values givesteeper mortality curves.", "units": "mortality rate year^-1", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_mort_r_size_senescence":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Mortality dbh senescence rate of change. Sensible range is around 0.03-0.06. Larger values give steeper mortality curves.", "units": "mortality rate dbh^-1", "data": [0.055, 0.055, 0.04, 0.04, 0.055, 0.055, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04] }, "fates_mort_scalar_coldstress":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum mortality rate from cold stress", "units": "1/yr", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_mort_scalar_cstarvation":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum mortality rate from carbon starvation", "units": "1/yr", "data": [0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_mort_scalar_hydrfailure":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum mortality rate from hydraulic failure", "units": "1/yr", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_mort_upthresh_cstarvation":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "threshold for storage biomass (relative to target leaf biomass) above which carbon starvation is zero", "units": "unitless", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_nonhydro_smpsc":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Soil water potential at full stomatal closure", "units": "mm", "data": [-177537.967, -352444.342, -214798.413, -307679.665, -347451.834, -175120.945, -255000.0, -255000.0, -134673.93, -255000.0, -255000.0, -317882.916, -200123.906, -360214.919, -200123.906] }, "fates_nonhydro_smpso":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Soil water potential at full stomatal opening", "units": "mm", "data": [-34844.846, -87067.176, -33560.298, -98998.485, -98986.971, -33160.364, -66000.0, -66000.0, -33137.782, -66000.0, -66000.0, -96187.704, -35291.509, -51250.654, -35291.509] }, "fates_pftname":{ "dtype": "string", "dims": ["fates_pft"], "long_name": "Description of plant type", "units": "unitless - string", "data": ["broadleaf_evergreen_tropical_tree", "needleleaf_evergreen_extratrop_tree", "needleleaf_colddecid_extratrop_tree", "broadleaf_evergreen_extratrop_tree", "broadleaf_hydrodecid_tropical_tree", "broadleaf_colddecid_extratrop_tree", "broadleaf_evergreen_extratrop_shrub", "broadleaf_hydrodecid_extratrop_shrub", "broadleaf_colddecid_extratrop_shrub", "broadleaf_evergreen_arctic_shrub", "broadleaf_colddecid_arctic_shrub", "arctic_c3_grass", "cool_c3_grass", "c4_grass", "generic_crop"] }, "fates_phen_cold_size_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the dbh size above which will lead to phenology-related stem and leaf drop", "units": "cm", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_phen_drought_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "threshold for drought phenology (or lower threshold for semi-deciduous PFTs) the quantity depends on the sign if positive, the threshold is volumetric soil moisture (m3/m3). If negative, the threshold is soil matric potentical (mm)", "units": "m3/m3 or mm", "data": [-152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4, -152957.4] }, "fates_phen_flush_fraction":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Upon bud-burst, the maximum fraction of storage carbon used for flushing leaves", "units": "fraction", "data": [null, null, 0.5, null, 0.5, 0.5, null, 0.5, 0.5, null, 0.5, 0.5, 0.5, 0.5, 0.5] }, "fates_phen_fnrt_drop_fraction":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of fine roots to drop during drought/cold", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_phen_leaf_habit":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "Flag for leaf phenology habit. 1 - evergreen 2 - season (cold) deciduous 3 - stress (hydro) deciduous 4 - stress (hydro) semi-deciduous", "units": "flag", "data": [1, 1, 2, 1, 3, 2, 1, 3, 2, 1, 2, 2, 1, 1, 1] }, "fates_phen_mindaysoff":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "day threshold compared against days since leaves abscised (shed)", "units": "days", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0] }, "fates_phen_moist_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "upper threshold for drought phenology (only for drought semi-deciduous PFTs) the quantity depends on the sign if positive, the threshold is volumetric soil moisture (m3/m3). If negative, the threshold is soil matric potentical (mm)", "units": "m3/m3 or mm", "data": [-122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9, -122365.9] }, "fates_phen_stem_drop_fraction":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of stems to drop for non-woody species during drought/cold", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_prescribed_npp_canopy":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "NPP per unit crown area of canopy trees for prescribed physiology mode", "units": "kgC / m^2 / yr", "data": [0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4] }, "fates_prescribed_npp_understory":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "NPP per unit crown area of understory trees for prescribed physiology mode", "units": "kgC / m^2 / yr", "data": [0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125] }, "fates_rad_leaf_clumping_index":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "factor describing how much self-occlusion of leaf scattering elements decreases light interception", "units": "fraction (0-1)", "data": [1.0, 1.0, 0.3, 0.85, 0.85, 0.9, 0.85, 0.9, 0.9, 0.85, 0.9, 0.71, 0.61, 0.75, 0.61] }, "fates_rad_leaf_rhonir":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf reflectance near-IR", "units": "fraction", "data": [0.46, 0.41, 0.39, 0.46, 0.41, 0.41, 0.46, 0.41, 0.41, 0.46, 0.41, 0.28, 0.28, 0.28, 0.28] }, "fates_rad_leaf_rhovis":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf reflectance visible", "units": "fraction", "data": [0.11, 0.09, 0.08, 0.11, 0.08, 0.08, 0.11, 0.08, 0.08, 0.11, 0.08, 0.05, 0.05, 0.05, 0.05] }, "fates_rad_leaf_taunir":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf transmittance near-IR", "units": "fraction", "data": [0.33, 0.32, 0.42, 0.33, 0.43, 0.43, 0.33, 0.43, 0.43, 0.33, 0.43, 0.4, 0.4, 0.4, 0.4] }, "fates_rad_leaf_tauvis":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf transmittance visible", "units": "fraction", "data": [0.06, 0.04, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.05, 0.05, 0.05, 0.05] }, "fates_rad_leaf_xl":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Leaf/stem orientation index", "units": "unitless", "data": [0.32, 0.01, 0.01, 0.32, 0.2, 0.59, 0.32, 0.59, 0.59, 0.32, 0.59, -0.19, -0.196, -0.23, -0.196] }, "fates_rad_stem_rhonir":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Stem reflectance near-IR", "units": "fraction", "data": [0.39, 0.36, 0.36, 0.39, 0.39, 0.39, 0.39, 0.39, 0.39, 0.39, 0.39, 0.53, 0.53, 0.53, 0.53] }, "fates_rad_stem_rhovis":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Stem reflectance visible", "units": "fraction", "data": [0.16, 0.12, 0.12, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.31, 0.31, 0.31, 0.31] }, "fates_rad_stem_taunir":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Stem transmittance near-IR", "units": "fraction", "data": [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.25, 0.25, 0.25, 0.25] }, "fates_rad_stem_tauvis":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Stem transmittance visible", "units": "fraction", "data": [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.12, 0.12, 0.12, 0.12] }, "fates_recruit_height_min":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the minimum height (ie starting height) of a newly recruited plant", "units": "m", "data": [1.3, 1.3, 1.3, 1.3, 1.3, 1.3, 0.2, 0.2, 0.2, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_recruit_init_dbh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "initial seedling dbh for a cold-start near-bare-ground simulation. Can only to be used in nocomp mode. To use it set use_dbh_init to true", "units": "cm", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5, 0.5, 0.5, 0.5, 0.5, 0.1, 0.1, 0.1, 0.1] }, "fates_recruit_init_density":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "initial seedling density for a cold-start near-bare-ground simulation.", "units": "stems/m2", "data": [0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.16, 0.2, 0.2, 0.2, 0.2, 0.2] }, "fates_recruit_init_seed":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "initial seed pool - per m2 of associated pft-patch for no-comp, per m2 of whole site for non no-comp", "units": "kg/m2", "data": [0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01] }, "fates_recruit_prescribed_rate":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "recruitment rate for prescribed physiology mode", "units": "n/yr", "data": [0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02] }, "fates_recruit_seed_alloc":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of available carbon balance allocated to seeds", "units": "fraction", "data": [0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.07, 0.1, 0.1, 0.1, 0.1, 0.1] }, "fates_recruit_seed_alloc_mature":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of available carbon balance allocated to seeds in mature plants (adds to fates_seed_alloc)", "units": "fraction", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.9, 0.9, 0.9, 0.9, 0.9, 0.25, 0.25, 0.9, 0.25] }, "fates_recruit_seed_dbh_repro_threshold":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "the diameter where the plant will increase allocation to the seed pool by fraction fates_recruit_seed_alloc_mature", "units": "cm", "data": [90.0, 80.0, 80.0, 80.0, 90.0, 80.0, 3.0, 3.0, 2.0, 2.4, 1.9, 3.0, 3.0, 30.0, 3.0] }, "fates_recruit_seed_germination_rate":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of seeds that germinate per year", "units": "yr-1", "data": [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.4, 0.49, 0.29, 0.5, 0.5, 0.5] }, "fates_recruit_seed_supplement":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Supplemental external seed rain source term (non-mass conserving)", "units": "KgC/m2/yr", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] }, "fates_seed_dispersal_fraction":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of seed rain to be dispersed to other grid cells", "units": "fraction", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_seed_dispersal_max_dist":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "maximum seed dispersal distance for a given pft", "units": "m", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_seed_dispersal_pdf_scale":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "seed dispersal probability density function scale parameter, A, Table 1 Bullock et al 2016", "units": "unitless", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_seed_dispersal_pdf_shape":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "seed dispersal probability density function shape parameter, B, Table 1 Bullock et al 2016", "units": "unitless", "data": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null] }, "fates_trim_inc":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Arbitrary incremental change in trimming function.", "units": "m2/m2", "data": [0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03] }, "fates_trim_limit":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Arbitrary limit to reductions in leaf area with stress", "units": "m2/m2", "data": [0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3] }, "fates_trs_repro_alloc_a":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "shape parameter for sigmoidal function relating dbh to reproductive allocation", "units": "fraction", "data": [0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049, 0.0049] }, "fates_trs_repro_alloc_b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "intercept parameter for sigmoidal function relating dbh to reproductive allocation", "units": "fraction", "data": [-2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171, -2.6171] }, "fates_trs_repro_frac_seed":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "fraction of reproductive mass that is seed", "units": "fraction", "data": [0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24, 0.24] }, "fates_trs_seedling_a_emerg":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "mean fraction of seed bank emerging", "units": "day -1", "data": [0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003, 0.0003] }, "fates_trs_seedling_b_emerg":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "seedling emergence sensitivity to soil moisture", "units": "day -1", "data": [1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2, 1.2] }, "fates_trs_seedling_background_mort":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "background seedling mortality rate", "units": "yr-1", "data": [0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371, 0.1085371] }, "fates_trs_seedling_h2o_mort_a":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "coefficient in moisture-based seedling mortality", "units": "-", "data": [4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17, 4.070565e-17] }, "fates_trs_seedling_h2o_mort_b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "coefficient in moisture-based seedling mortality", "units": "-", "data": [-6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11, -6.390757e-11] }, "fates_trs_seedling_h2o_mort_c":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "coefficient in moisture-based seedling mortality", "units": "-", "data": [1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05, 1.268992e-05] }, "fates_trs_seedling_light_mort_a":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "light-based seedling mortality coefficient", "units": "-", "data": [-0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694, -0.009897694] }, "fates_trs_seedling_light_mort_b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "light-based seedling mortality coefficient", "units": "-", "data": [-7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063, -7.154063] }, "fates_trs_seedling_light_rec_a":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "coefficient in light-based seedling to sapling transition", "units": "-", "data": [0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007, 0.007] }, "fates_trs_seedling_light_rec_b":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "coefficient in light-based seedling to sapling transition", "units": "-", "data": [0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615, 0.8615] }, "fates_trs_seedling_mdd_crit":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "critical moisture deficit (suction) day accumulation for seedling moisture-based seedling mortality to begin", "units": "mm H2O day", "data": [1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0, 1400000.0] }, "fates_trs_seedling_par_crit_germ":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "critical light level for germination", "units": "MJ m-2 day-1", "data": [0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656, 0.656] }, "fates_trs_seedling_psi_crit":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "critical soil moisture (suction) for seedling stress", "units": "mm H2O", "data": [-251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7, -251995.7] }, "fates_trs_seedling_psi_emerg":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "critical soil moisture for seedling emergence", "units": "mm h20 suction", "data": [-15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65, -15744.65] }, "fates_trs_seedling_root_depth":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "rooting depth of seedlings", "units": "m", "data": [0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06, 0.06] }, "fates_turb_displar":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Ratio of displacement height to canopy top height", "units": "unitless", "data": [0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67, 0.67] }, "fates_turb_leaf_diameter":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Characteristic leaf dimension", "units": "m", "data": [0.031, 0.0298, 0.00072, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.04, 0.027, 0.033, 0.04, 0.033] }, "fates_turb_z0mr":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "Ratio of momentum roughness length to canopy top height", "units": "unitless", "data": [0.06, 0.077, 0.033, 0.075, 0.055, 0.055, 0.12, 0.12, 0.12, 0.12, 0.12, 0.126, 0.078, 0.12, 0.078] }, "fates_turnover_branch":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "turnover time of branches", "units": "yr", "data": [150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 150.0, 0.0, 0.0, 0.0, 0.0] }, "fates_turnover_fnrt":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "root longevity (alternatively, turnover time)", "units": "yr", "data": [1.0, 2.0, 2.0, 1.5, 1.0, 1.0, 1.0, 1.0, 3.0, 1.5, 1.0, 1.0, 0.75, 0.5, 0.75] }, "fates_turnover_senleaf_fdrought":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "multiplication factor for leaf longevity of senescent leaves during drought", "units": "unitless[0-1]", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_voc_pftindex":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "integer index for MEGAN PFT definitions in voc factors dataset", "units": "Integer PFT index", "data": [4, 1, 3, 5, 6, 7, 9, 10, 10, 9, 11, 12, 13, 14, 13] }, "fates_wesley_aut_thresh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "tlai threshold to determine wesley early/late autumn season", "units": "m2/m2", "data": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] }, "fates_wesley_sum_thresh":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "tlai threshold to determine wesley lush summer season", "units": "m2/m2", "data": [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0] }, "fates_wesley_veg_index":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "Index to map from fates pfts into the wesley pft space used to determing dry deposition veolcity", "units": "Integer PFT index", "data": [4, 5, 5, 4, 4, 4, 11, 11, 11, 3, 3, 3, 3, 3, 3] }, "fates_wood_density":{ "dtype": "float", "dims": ["fates_pft"], "long_name": "mean density of woody tissue in plant", "units": "g/cm3", "data": [0.548327, 0.434, 0.454845, 0.754336, 0.548327, 0.566452, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7, 0.7] }, "fates_woody":{ "dtype": "integer", "dims": ["fates_pft"], "long_name": "Binary woody lifeform flag", "units": "logical flag", "data": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0] }, "fates_hydro_avuln_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "xylem vulnerability curve shape parameter", "units": "unitless", "data": [[2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]] }, "fates_hydro_epsil_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "bulk elastic modulus", "units": "MPa", "data": [[12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0, 12.0], [10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0], [10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0], [8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0, 8.0]] }, "fates_hydro_fcap_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "fraction of non-residual water that is capillary in source", "units": "unitless", "data": [[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08], [0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08, 0.08], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] }, "fates_hydro_kmax_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "maximum xylem conductivity per unit conducting xylem area", "units": "kg/MPa/m/s", "data": [[-999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0], [3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0], [-999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0], [-999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0, -999.0]] }, "fates_hydro_p50_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "xylem water potential at 50% loss of conductivity", "units": "MPa", "data": [[-2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25], [-2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25], [-2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25], [-2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25, -2.25]] }, "fates_hydro_pinot_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "osmotic potential at full turgor", "units": "MPa", "data": [[-1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984, -1.465984], [-1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807], [-1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807, -1.22807], [-1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478, -1.043478]] }, "fates_hydro_pitlp_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "turgor loss point", "units": "MPa", "data": [[-1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67, -1.67], [-1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4], [-1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4, -1.4], [-1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2, -1.2]] }, "fates_hydro_resid_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "residual water conent", "units": "cm3/cm3", "data": [[0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16, 0.16], [0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21], [0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21, 0.21], [0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11, 0.11]] }, "fates_hydro_thetas_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "saturated water content", "units": "cm3/cm3", "data": [[0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65], [0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65], [0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65, 0.65], [0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75, 0.75]] }, "fates_hydro_vg_alpha_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "(used if hydr_htftype_node 2), capillary length parameter in van Genuchten model", "units": "MPa-1", "data": [[0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005], [0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005], [0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005], [0.0005, 0.0005, 0.0005, 0.0005, 0.0005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005, 0.005]] }, "fates_hydro_vg_m_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "(used if hydr_htftype_node 2),m in van Genuchten 1980 model, 2nd pore size distribution parameter", "units": "unitless", "data": [[0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5], [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5], [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5], [0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5]] }, "fates_hydro_vg_n_node":{ "dtype": "float", "dims": ["fates_hydr_organs", "fates_pft"], "long_name": "(used if hydr_htftype_node 2),n in van Genuchten 1980 model, pore size distribution parameter", "units": "unitless", "data": [[2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]] }, "fates_leaf_vcmax25top":{ "dtype": "float", "dims": ["fates_leafage_class", "fates_pft"], "long_name": "maximum carboxylation rate of Rub. at 25C, canopy top", "units": "umol CO2/m^2/s", "data": [[47.59, 40.91, 45.0, 40.0, 38.393, 52.0, 62.0, 54.0, 53.712, 40.0, 35.0, 32.0, 69.17, 17.955, 69.17]] }, "fates_turnover_leaf_canopy":{ "dtype": "float", "dims": ["fates_leafage_class", "fates_pft"], "long_name": "Leaf longevity (ie turnover timescale) of canopy plants. For drought-deciduous PFTs, this also indicates the maximum length of the growing (i.e., leaves on) season.", "units": "yr", "data": [[1.5, 3.0, 1.0, 1.5, 0.7, 1.0, 1.5, 1.0, 1.0, 1.5, 1.0, 1.0, 0.25, 0.25, 0.25]] }, "fates_turnover_leaf_ustory":{ "dtype": "float", "dims": ["fates_leafage_class", "fates_pft"], "long_name": "Leaf longevity (ie turnover timescale) of understory plants.", "units": "yr", "data": [[2.5, 4.0, 1.0, 1.5, 1.0, 1.0, 1.5, 1.0, 1.0, 1.5, 1.0, 1.0, 0.2, 0.2, 0.2]] }, "fates_alloc_organ_priority":{ "dtype": "integer", "dims": ["fates_plant_organs", "fates_pft"], "long_name": "Priority level for allocation, 1 replaces turnover from storage, 2 same priority as storage use/replacement, 3 ascending in order of least importance", "units": "index", "data": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]] }, "fates_cnp_turnover_nitr_retrans":{ "dtype": "float", "dims": ["fates_plant_organs", "fates_pft"], "long_name": "retranslocation (reabsorbtion) fraction of nitrogen in turnover of scenescing tissues", "units": "fraction", "data": [[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] }, "fates_cnp_turnover_phos_retrans":{ "dtype": "float", "dims": ["fates_plant_organs", "fates_pft"], "long_name": "retranslocation (reabsorbtion) fraction of phosphorus in turnover of scenescing tissues", "units": "fraction", "data": [[0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25], [0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]] }, "fates_stoich_nitr":{ "dtype": "float", "dims": ["fates_plant_organs", "fates_pft"], "long_name": "target nitrogen concentration (ratio with carbon) of organs", "units": "gN/gC", "data": [[0.033, 0.029, 0.04, 0.033, 0.04, 0.04, 0.033, 0.04, 0.04, 0.033, 0.04, 0.04, 0.04, 0.04, 0.04], [0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024, 0.024], [1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08, 1e-08], [0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047, 0.0047]] }, "fates_stoich_phos":{ "dtype": "float", "dims": ["fates_plant_organs", "fates_pft"], "long_name": "target phosphorus concentration (ratio with carbon) of organs", "units": "gP/gC", "data": [[0.0033, 0.0029, 0.004, 0.0033, 0.004, 0.004, 0.0033, 0.004, 0.004, 0.0033, 0.004, 0.004, 0.004, 0.004, 0.004], [0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024, 0.0024], [1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09, 1e-09], [0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047, 0.00047]] }, "fates_hlm_pft_map":{ "dtype": "float", "dims": ["fates_hlm_pftno", "fates_pft"], "long_name": "In fixed biogeog mode, fraction of HLM area associated with each FATES PFT", "units": "area fraction", "data": [[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0.1, 0.1, 0.8, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0]] }, "fates_fire_FBD":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "fuel bulk density", "units": "kg Biomass/m3", "data": [15.4, 16.8, 19.6, 999.0, 4.0, 4.0] }, "fates_fire_SAV":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "fuel surface area to volume ratio", "units": "cm-1", "data": [13.0, 3.58, 0.98, 0.2, 35.0, 35.0] }, "fates_fire_low_moisture_Coeff":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire parameter, equation B1 Thonicke et al 2010", "units": "NA", "data": [1.12, 1.09, 0.98, 0.8, 1.15, 1.15] }, "fates_fire_low_moisture_Slope":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire parameter, equation B1 Thonicke et al 2010", "units": "NA", "data": [0.62, 0.72, 0.85, 0.8, 0.62, 0.62] }, "fates_fire_mid_moisture":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire litter moisture threshold to be considered medium dry", "units": "NA", "data": [0.72, 0.51, 0.38, 1.0, 0.8, 0.8] }, "fates_fire_mid_moisture_Coeff":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire parameter, equation B1 Thonicke et al 2010", "units": "NA", "data": [2.35, 1.47, 1.06, 0.8, 3.2, 3.2] }, "fates_fire_mid_moisture_Slope":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire parameter, equation B1 Thonicke et al 2010", "units": "NA", "data": [2.35, 1.47, 1.06, 0.8, 3.2, 3.2] }, "fates_fire_min_moisture":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "spitfire litter moisture threshold to be considered very dry", "units": "NA", "data": [0.18, 0.12, 0.0, 0.0, 0.24, 0.24] }, "fates_frag_maxdecomp":{ "dtype": "float", "dims": ["fates_litterclass"], "long_name": "maximum rate of litter and CWD transfer from non-decomposing class into decomposing class", "units": "yr-1", "data": [0.52, 0.383, 0.383, 0.19, 2.0, 999.0] }, "fates_litterclass_name":{ "dtype": "string", "dims": ["fates_litterclass"], "long_name": "Name of the litter classes, for variables associated with dimension fates_litterclass", "units": "unitless - string", "data": ["twig", "small branch", "large branch", "trunk", "dead leaves", "live grass"] }, "fates_frag_cwd_frac":{ "dtype": "float", "dims": ["fates_NCWD"], "long_name": "fraction of woody (bdead+bsw) biomass destined for CWD pool", "units": "fraction", "data": [0.045, 0.075, 0.21, 0.67] }, "fates_landuse_crop_lu_pft_vector":{ "dtype": "integer", "dims": ["fates_landuseclass"], "long_name": "the FATES PFT index to use on a given crop land-use type (dummy value of -999 for non-crop types)", "units": "NA", "data": [-999, -999, -999, -999, 15] }, "fates_landuse_grazing_rate":{ "dtype": "float", "dims": ["fates_landuseclass"], "long_name": "fraction of leaf biomass consumed by grazers per day", "units": "1/day", "data": [0.007, 0.0, 0.02, 0.02, 0.04] }, "fates_landuseclass_name":{ "dtype": "string", "dims": ["fates_landuseclass"], "long_name": "Name of the land use classes, for variables associated with dimension fates_landuseclass", "units": "unitless - string", "data": ["primaryland", "secondaryland", "rangeland", "pastureland", "cropland"] }, "fates_max_nocomp_pfts_by_landuse":{ "dtype": "integer", "dims": ["fates_landuseclass"], "long_name": "maximum number of nocomp PFTs on each land use type (only used in nocomp mode)", "units": "count", "data": [4, 4, 2, 2, 1] }, "fates_maxpatches_by_landuse":{ "dtype": "integer", "dims": ["fates_landuseclass"], "long_name": "maximum number of patches per site on each land use type", "units": "count", "data": [9, 4, 2, 2, 1] }, "fates_canopy_closure_thresh":{ "dtype": "float", "dims": ["scalar"], "long_name": "tree canopy coverage at which crown area allometry changes from savanna to forest value", "units": "unitless", "data": [0.8] }, "fates_cnp_eca_plant_escalar":{ "dtype": "float", "dims": ["scalar"], "long_name": "scaling factor for plant fine root biomass to calculate nutrient carrier enzyme abundance (ECA)", "units": "", "data": [1.25e-05] }, "fates_cohort_age_fusion_tol":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum fraction in differece in cohort age between cohorts.", "units": "unitless", "data": [0.25] }, "fates_cohort_size_fusion_tol":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum fraction in difference in dbh between cohorts", "units": "unitless", "data": [0.25] }, "fates_comp_excln":{ "dtype": "float", "dims": ["scalar"], "long_name": "IF POSITIVE weighting factor (exponent on dbh) for canopy layer exclusion and promotion, IF NEGATIVE switch to use deterministic height sorting", "units": "none", "data": [-1.0] }, "fates_damage_canopy_layer_code":{ "dtype": "integer", "dims": ["scalar"], "long_name": "Integer code that decides whether damage affects canopy trees (1), understory trees (2)", "units": "unitless", "data": [1] }, "fates_damage_event_code":{ "dtype": "integer", "dims": ["scalar"], "long_name": "Integer code that options how damage events are structured", "units": "unitless", "data": [1] }, "fates_dev_arbitrary":{ "dtype": "float", "dims": ["scalar"], "long_name": "Unassociated free parameter that developers can use for testing arbitrary new hypotheses", "units": "unknown", "data": [null] }, "fates_fire_active_crown_fire":{ "dtype": "integer", "dims": ["scalar"], "long_name": "flag, 1active crown fire 0no active crown fire", "units": "0 or 1", "data": [0] }, "fates_fire_cg_strikes":{ "dtype": "float", "dims": ["scalar"], "long_name": "fraction of cloud to ground lightning strikes", "units": "fraction (0-1)", "data": [0.02] }, "fates_fire_drying_ratio":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, fire drying ratio for fuel moisture, alpha_FMC EQ 6 Thonicke et al 2010", "units": "NA", "data": [66000.0] }, "fates_fire_durat_slope":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, fire max duration slope, Equation 14 Thonicke et al 2010", "units": "NA", "data": [-11.06] }, "fates_fire_fdi_alpha":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, EQ 7 Venevsky et al. GCB 2002,(modified EQ 8 Thonicke et al. 2010)", "units": "NA", "data": [0.00037] }, "fates_fire_fuel_energy":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, heat content of fuel", "units": "kJ/kg", "data": [18000.0] }, "fates_fire_max_durat":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, fire maximum duration, Equation 14 Thonicke et al 2010", "units": "minutes", "data": [240.0] }, "fates_fire_miner_damp":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, mineral-dampening coefficient EQ A1 Thonicke et al 2010", "units": "NA", "data": [0.41739] }, "fates_fire_miner_total":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, total mineral content, Table A1 Thonicke et al 2010", "units": "fraction", "data": [0.055] }, "fates_fire_nignitions":{ "dtype": "float", "dims": ["scalar"], "long_name": "number of annual ignitions per square km", "units": "ignitions per year per km2", "data": [3.0] }, "fates_fire_part_dens":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, oven dry particle density, Table A1 Thonicke et al 2010", "units": "kg/m2", "data": [513.0] }, "fates_fire_threshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "spitfire parameter, fire intensity threshold for tracking fires that spread", "units": "kW/m", "data": [50.0] }, "fates_frag_cwd_fcel":{ "dtype": "float", "dims": ["scalar"], "long_name": "Cellulose fraction for CWD", "units": "unitless", "data": [0.76] }, "fates_frag_cwd_flig":{ "dtype": "float", "dims": ["scalar"], "long_name": "Lignin fraction of coarse woody debris", "units": "unitless", "data": [0.24] }, "fates_hydro_kmax_rsurf1":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum conducitivity for unit root surface (into root)", "units": "kg water/m2 root area/Mpa/s", "data": [20.0] }, "fates_hydro_kmax_rsurf2":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum conducitivity for unit root surface (out of root)", "units": "kg water/m2 root area/Mpa/s", "data": [0.0001] }, "fates_hydro_psi0":{ "dtype": "float", "dims": ["scalar"], "long_name": "sapwood water potential at saturation", "units": "MPa", "data": [0.0] }, "fates_hydro_psicap":{ "dtype": "float", "dims": ["scalar"], "long_name": "sapwood water potential at which capillary reserves exhausted", "units": "MPa", "data": [-0.6] }, "fates_landuse_grazing_carbon_use_eff":{ "dtype": "float", "dims": ["scalar"], "long_name": "carbon use efficiency of material eaten by grazers/browsers (i.e. amount in manure / amount consumed)", "units": "unitless", "data": [0.0] }, "fates_landuse_grazing_maxheight":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum height that grazers (browsers, actually) can reach", "units": "m", "data": [3.0] }, "fates_landuse_grazing_nitrogen_use_eff":{ "dtype": "float", "dims": ["scalar"], "long_name": "nitrogen use efficiency of material eaten by grazers/browsers (i.e. amount in manure / amount consumed)", "units": "unitless", "data": [0.25] }, "fates_landuse_grazing_phosphorus_use_eff":{ "dtype": "float", "dims": ["scalar"], "long_name": "phosphorus use efficiency of material eaten by grazers/browsers (i.e. amount in manure / amount consumed)", "units": "unitless", "data": [0.5] }, "fates_landuse_logging_coll_under_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "Fraction of stems killed in the understory when logging generates disturbance", "units": "fraction", "data": [0.0] }, "fates_landuse_logging_collateral_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "Fraction of large stems in upperstory that die from logging collateral damage", "units": "fraction", "data": [0.0] }, "fates_landuse_logging_dbhmax":{ "dtype": "float", "dims": ["scalar"], "long_name": "Maximum dbh below which logging is applied (unset values flag this to be unused)", "units": "cm", "data": [null] }, "fates_landuse_logging_dbhmax_infra":{ "dtype": "float", "dims": ["scalar"], "long_name": "Tree diameter, above which infrastructure from logging does not impact damage or mortality.", "units": "cm", "data": [0.0] }, "fates_landuse_logging_dbhmin":{ "dtype": "float", "dims": ["scalar"], "long_name": "Minimum dbh at which logging is applied", "units": "cm", "data": [0.0] }, "fates_landuse_logging_direct_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "Fraction of stems logged directly per event", "units": "fraction", "data": [1.0] }, "fates_landuse_logging_event_code":{ "dtype": "integer", "dims": ["scalar"], "long_name": "Integer code that options how logging events are structured", "units": "unitless", "data": [-30] }, "fates_landuse_logging_export_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "fraction of trunk product being shipped offsite, the leftovers will be left onsite as large CWD", "units": "fraction", "data": [0.8] }, "fates_landuse_logging_mechanical_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "Fraction of stems killed due infrastructure an other mechanical means", "units": "fraction", "data": [0.0] }, "fates_leaf_photo_temp_acclim_thome_time":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the long-term (i.e. T_home in Kumarathunge et al 2019) exponential moving average (ema) of vegetation temperature used in photosynthesis temperature acclimation (used if fates_leaf_photo_tempsens_model 2)", "units": "years", "data": [30.0] }, "fates_leaf_photo_temp_acclim_timescale":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the exponential moving average (ema) of vegetation temperature used in photosynthesis temperature acclimation (used if fates_maintresp_leaf_model2 or fates_leaf_photo_tempsens_model 2)", "units": "days", "data": [30.0] }, "fates_maintresp_nonleaf_baserate":{ "dtype": "float", "dims": ["scalar"], "long_name": "Base maintenance respiration rate for plant tissues, using Ryan 1991", "units": "gC/gN/s", "data": [2.525e-06] }, "fates_maxcohort":{ "dtype": "integer", "dims": ["scalar"], "long_name": "maximum number of cohorts per patch. Actual number of cohorts also depend on cohort fusion tolerances", "units": "count", "data": [100] }, "fates_mort_disturb_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "fraction of canopy mortality that results in disturbance (i.e. transfer of area from old to new patch)", "units": "fraction", "data": [1.0] }, "fates_mort_understorey_death":{ "dtype": "float", "dims": ["scalar"], "long_name": "fraction of plants in understorey cohort impacted by overstorey tree-fall", "units": "fraction", "data": [0.55983] }, "fates_patch_fusion_tol":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum fraction in difference in profiles between patches", "units": "unitless", "data": [0.15] }, "fates_phen_chilltemp":{ "dtype": "float", "dims": ["scalar"], "long_name": "chilling day counting threshold for vegetation", "units": "degrees C", "data": [5.0] }, "fates_phen_coldtemp":{ "dtype": "float", "dims": ["scalar"], "long_name": "vegetation temperature exceedance that flags a cold-day for leaf-drop", "units": "degrees C", "data": [7.5] }, "fates_phen_gddthresh_a":{ "dtype": "float", "dims": ["scalar"], "long_name": "GDD accumulation function, intercept parameter gdd_thesh a + b exp(c*ncd)", "units": "none", "data": [-68.0] }, "fates_phen_gddthresh_b":{ "dtype": "float", "dims": ["scalar"], "long_name": "GDD accumulation function, multiplier parameter gdd_thesh a + b exp(c*ncd)", "units": "none", "data": [638.0] }, "fates_phen_gddthresh_c":{ "dtype": "float", "dims": ["scalar"], "long_name": "GDD accumulation function, exponent parameter gdd_thesh a + b exp(c*ncd)", "units": "none", "data": [-0.01] }, "fates_phen_mindayson":{ "dtype": "float", "dims": ["scalar"], "long_name": "day threshold compared against days since leaves became on-allometry", "units": "days", "data": [90.0] }, "fates_phen_ncolddayslim":{ "dtype": "float", "dims": ["scalar"], "long_name": "day threshold exceedance for temperature leaf-drop", "units": "days", "data": [5.0] }, "fates_q10_froz":{ "dtype": "float", "dims": ["scalar"], "long_name": "Q10 for frozen-soil respiration rates", "units": "unitless", "data": [1.5] }, "fates_q10_mr":{ "dtype": "float", "dims": ["scalar"], "long_name": "Q10 for maintenance respiration", "units": "unitless", "data": [1.5] }, "fates_rxfire_AB":{ "dtype": "float", "dims": ["scalar"], "long_name": "daily burn capacity of prescribed fire", "units": "fraction/day", "data": [0.01] }, "fates_rxfire_fuel_max":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum fuel load at or above which prescribed fire is disallowed", "units": "kgC/m2", "data": [1.5] }, "fates_rxfire_fuel_min":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum fuel load at or below which prescribed fire is disallowed", "units": "kgC/m2", "data": [0.5] }, "fates_rxfire_max_threshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum energy threshold at or above which prescribed fire is disallowed", "units": "kJ/m/s or kW/m", "data": [500.0] }, "fates_rxfire_min_frac":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum fraction of land needs to be burnable to allow rx fire", "units": "fraction", "data": [0.1] }, "fates_rxfire_min_threshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum energy threshold at or above which prescribed fire is disallowed", "units": "kJ/m/s or kW/m", "data": [50.0] }, "fates_rxfire_rh_lwthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum relative humidity threshold below which prescribed fire is disallowed", "units": "%", "data": [30.0] }, "fates_rxfire_rh_upthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum relative humidity threshold above which prescribed fire is disallowed", "units": "%", "data": [55.0] }, "fates_rxfire_temp_lwthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum temprature threshold below which prescribed fire is disallowed", "units": "degree C", "data": [5.0] }, "fates_rxfire_temp_upthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum temprature threshold above which prescribed fire is disallowed", "units": "degree C", "data": [30.0] }, "fates_rxfire_wind_lwthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "minimum wind speed threshold below which prescribed fire is disallowed", "units": "%", "data": [2.0] }, "fates_rxfire_wind_upthreshold":{ "dtype": "float", "dims": ["scalar"], "long_name": "maximum wind speed threshold above which prescribed fire is disallowed", "units": "%", "data": [10.0] }, "fates_soil_salinity":{ "dtype": "float", "dims": ["scalar"], "long_name": "soil salinity used for model when not coupled to dynamic soil salinity", "units": "ppt", "data": [0.4] }, "fates_trs_seedling2sap_par_timescale":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the exponential moving average of par at the seedling layer used to calculate seedling to sapling transition rates", "units": "days", "data": [32.0] }, "fates_trs_seedling_emerg_h2o_timescale":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the exponential moving average of smp used to calculate seedling emergence", "units": "days", "data": [7.0] }, "fates_trs_seedling_mdd_timescale":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the exponential moving average of moisture deficit days used to calculate seedling mortality", "units": "days", "data": [126.0] }, "fates_trs_seedling_mort_par_timescale":{ "dtype": "float", "dims": ["scalar"], "long_name": "Length of the window for the exponential moving average of par at the seedling layer used to calculate seedling mortality", "units": "days", "data": [32.0] }, "fates_vai_top_bin_width":{ "dtype": "float", "dims": ["scalar"], "long_name": "width in VAI units of uppermost leaf+stem layer scattering element in each canopy layer", "units": "m2/m2", "data": [0.5] }, "fates_vai_width_increase_factor":{ "dtype": "float", "dims": ["scalar"], "long_name": "factor by which each leaf+stem scattering element increases in VAI width (1 uniform spacing)", "units": "unitless", "data": [1.25] } } }