Abil.py Environmental Data

These files "env_data.csv" and "env_data.nc" contain the environmental data used to train and predict with Abil.py, a python package for machine learning interpolation of aquatic biogeochemical data. The data has been sourced in its orginal resolution and regridded to a monthly, 1 degree resolution grid, for the top 200m of the ocean in 5m depth levels. Details of the regridding process and associated code can be found at https://github.com/nicola-wiseman/Abil_Wiseman2025/. Dimensions: time = 12 depth = 41 [0-200m, 5m increments] lat = 180 [-90-89] lon = 360 [-180-179] Variables: long time(time=12); :units = "months"; long depth(depth=41); :units = "m"; :positive = "down"; long lat(lat=180); :units = "degrees_north"; :long_name = "latitude"; long lon(lon=360); :units = "degrees_east"; :long_name = "longitude"; double temperature(time=12, depth=41, lat=180, lon=360); :_FillValue = NaN; // double :long_name = "sea_water_temperature"; :description = "Objectively analyzed mean fields for sea_water_temperature from WOA18 of Locarnini et al. (2019)"; :units = "degrees_celsius"; double sio4(time=12, depth=41, lat=180, lon=360); :description = "Objectively analyzed mean fields for moles_concentration_of_silicate_in_sea_water from WOA18 of Garcia et al. (2019)"; :_FillValue = NaN; // double :long_name = "silicate"; :units = "umol.kg-1"; double po4(time=12, depth=41, lat=180, lon=360); :_FillValue = NaN; // double :units = "umol.kg-1"; :long_name = "phosphate"; :description = "Objectively analyzed mean fields for moles_concentration_of_phosphate_in_sea_water from WOA18 of Garcia et al. (2019)"; double no3(time=12, depth=41, lat=180, lon=360); :_FillValue = NaN; // double :units = "umol.kg-1"; :long_name = "nitrate"; :description = "Objectively analyzed mean fields for moles_concentration_of_nitrate_in_sea_water from WOA18 of Garcia et al. (2019)"; double o2(time=12, depth=41, lat=180, lon=360); :description = "Objectively analyzed mean fields for mole_concentration_of_dissolved_molecular_oxygen_in_sea_water from WOA18 of Garcia et al. (2019)"; :long_name = "dissolved oxygen"; :_FillValue = NaN; // double :units = "umol.kg-1"; double DIC(time=12, depth=41, lat=180, lon=360); :_FillValue = NaN; // double :units = "umol.kg-1"; :long_name = "dissolved inorganic carbon"; :description = "Monthly climatology of total dissolved inorganic carbon (TCO2) centered in 1995 and obtained with NNGv2LDEO of Broullón et al. (2020)"; double TA(time=12, depth=41, lat=180, lon=360); :_FillValue = NaN; // double :units = "umol.kg-1"; :long_name = "total alkalinity"; :description = "Monthly climatology of total alkalinity obtained with NNGv2 of Broullón et al. (2019)"; double PAR(time=12, depth=41, lat=180, lon=360); :description = "RS_PAR_ESM-based_fill_monthly_clim_1998-2022 from Castant et al. (2024)"; :long_name = "photosynthetically activate radiation"; :_FillValue = NaN; // double :units = "W.m-2";