This WBMAncillaryDatareadme.txt file was generated on 2022-02-23 by Danielle S. Grogan GENERAL INFORMATION 1. Title of Dataset: University of New Hampshire Water Balance Model Ancillary Data 2. Author Information A. Principal Investigator Contact Information Name: Danielle S. Grogan Institution: University of New Hampshire Address: Earth Systems Research Center, 8 College Road, Durham, NH, US, 03824 Email: danielle.grogan@unh.edu B. Associate or Co-investigator Contact Information Name: Shan Zuidema Institution: University of New Hampshire Address: Earth Systems Research Center, 8 College Road, Durham, NH, US, 03824 Email: shan.zuidema@unh.edu C. Alternate Contact Information Name: Stanley Glidden Institution: University of New Hampshire Address: Earth Systems Research Center, 8 College Road, Durham, NH, US, 03824 Email: stanley.glidden@unh.edu 3. Date of data collection (single date, range, approximate date) : Data were collected from 2015-01-01 through 2021-12-15 4. Geographic location of data collection : Global 5. Information about funding sources that supported the collection of the data: Funding for data collection is from: The U.S. Department of Energy, Office of Science, Biological and Environmental Research Program, Earth and Environmental Systems Modeling, MultiSector Dynamics under Grant DE-SC005171 and Cooperative Agreements DE-SC0016162 and DE-SC0022141; The National Science Foundation Division of Earth Sciences grant no. 10388018; Division of Social and Economic Sciences grant no. 1639524; Division of Chemical, Bioengineering, Environmental, and Transport Systems grant no. 1855937; Division of Behavioral and Cognitive Sciences grant no. 1114851. The National Aeronautical and Space Administration, Earth Science Division’s High Mountain Asia program grant no. NNX17AB28G and grant no. 80NSSC20K1595 and the Earth Science Division’s Sea Level Change program grant no. 80NSSC20K1296. NSF NH EPSCoR New England Sustainability Consortium (EPS-1330641), NH EPSCoR Ecosystems and Society (EPS-1101245), and the Plum Island Long Term Ecological Research site (NSF OCE-1637630) Swedish funding agency Formas under grant #2017-00,608 via Stockholm University. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: The GNU General Public License v3.0 (GPLv3) 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: The file Effective_Rooting_depth_mod.tif is derived from two other data sets, which are (1) Effective rooting depth from Yang et al. (2016) https://doi.org/10.4225/08/5837b3aa9cb90 and the FAO/UNESCO (2003) Digital Soil Map of the World v3.6 https://www.worldcat.org/title/digital-soil-map-of-the-world-and-derived-soil-properties/oclc/52200846. References: Yang, Yuting; Donohue, Randall; McVicar, Tim (2016): Global effective plant rooting depth. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/5837b3aa9cb90. FAO/UNESCO (2003). Digital soil map of the world and derived soil properties. [Electronic resource]. Rome, Italy: FAO. All crop netCDF files starting with the prefix "MC_", as well s crop_area_fraction.nc, are derived from the MIRCA2000 global cropland dataset (Portmann et al. 2010) https://www.uni-frankfurt.de/45218023/MIRCA. Portmann, F. T., Siebert, S., & Döll, P. (2010). MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling: MONTHLY IRRIGATED AND RAINFED CROP AREAS. Global Biogeochemical Cycles, 24(1), n/a-n/a. https://doi.org/10.1029/2008GB003435. The file FAO_SWGW_ratio_mod.tif is derived from data available from FAO AQUASTAT https://www.fao.org/aquastat/statistics/query/index.html;jsessionid=71F6F6340C470CFBE92D71489546AA39.FAO (2015). AQUASTAT Database. AQUASTAT Website accessed on 16/07/2015. The file RicePercolationRate.nc is derived from the FAO/UNESCO (2003) soil map of the world, with processing methods described by Wisser et al. (2008). https://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/faounesco-soil-map-of-the-world/en/. FAO/UNESCO (2003). Digital soil map of the world and derived soil properties. [Electronic resource]. Rome, Italy: FAO. Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty, C. J., & Schumann, A. H. (2008). Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets. Geophysical Research Letters, 35(24), L24408. https://doi.org/10.1029/2008GL035296. All glacier data sets (netCDF files that begin with he prefix "glacier_RDI40" as well as "global_rgi6") were derived from data described by Huss and Hock (2015). Huss, M., & Hock, R. (2015). A new model for global glacier change and sea-level rise. Frontiers in Earth Science, 3. https://doi.org/10.3389/feart.2015.00054. 5. Was data derived from another source? Yes A. If yes, list source(s): The file Effective_Rooting_depth_mod.tif is derived from two other data sets, which are (1) Effective rooting depth from Yang et al. (2016) https://doi.org/10.4225/08/5837b3aa9cb90 and the FAO/UNESCO (2003) Digital Soil Map of the World v3.6 https://www.worldcat.org/title/digital-soil-map-of-the-world-and-derived-soil-properties/oclc/52200846. References: Yang, Yuting; Donohue, Randall; McVicar, Tim (2016): Global effective plant rooting depth. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/5837b3aa9cb90. FAO/UNESCO (2003). Digital soil map of the world and derived soil properties. [Electronic resource]. Rome, Italy: FAO. All crop netCDF files starting with the prefix "MC_", as well as crop_area_fraction.nc, are derived from the MIRCA2000 global cropland dataset (Portmann et al. 2010) https://www.uni-frankfurt.de/45218023/MIRCA. Portmann, F. T., Siebert, S., & Döll, P. (2010). MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling: MONTHLY IRRIGATED AND RAINFED CROP AREAS. Global Biogeochemical Cycles, 24(1), n/a-n/a. https://doi.org/10.1029/2008GB003435. The file FAO_SWGW_ratio_mod.tif is derived from data available from FAO AQUASTAT https://www.fao.org/aquastat/statistics/query/index.html;jsessionid=71F6F6340C470CFBE92D71489546AA39.FAO (2015). AQUASTAT Database. AQUASTAT Website accessed on 16/07/2015. The file RicePercolationRate.nc is derived from the FAO/UNESCO (2003) soil map of the world, with processing methods described by Wisser et al. (2008). https://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/faounesco-soil-map-of-the-world/en/. FAO/UNESCO (2003). Digital soil map of the world and derived soil properties. [Electronic resource]. Rome, Italy: FAO. Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty, C. J., & Schumann, A. H. (2008). Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets. Geophysical Research Letters, 35(24), L24408. https://doi.org/10.1029/2008GL035296. All glacier data sets (netCDF files that begin with he prefix "glacier_RDI40" as well as "global_rgi6") were derived from data described by Huss and Hock (2015). Huss, M., & Hock, R. (2015). A new model for global glacier change and sea-level rise. Frontiers in Earth Science, 3. https://doi.org/10.3389/feart.2015.00054. 6. Recommended citation for this dataset: Grogan D.S., Zuidema S., Prusevich A., Wollheim W.M., Glidden S., and Lammers R.B. (2022)University of New Hampshire Water Balance Model Ancillary Data for use with the WBM Open Source Release Version 1.0. https://wbm.unh.edu/. DATA & FILE OVERVIEW 1. File List: Two types of files are provided here. The first type is gridded model input data, with file extensions .nc or .tif. The second type of file is metadata .init files, which are plain text files formatted as perl-readable hashes. Files in the folder crops/ crop_area_fraction.nc RicePercolationRate.nc Files in the folder crops/added_water/ MC_rice_irr_AddedWater_av.nc Files in the folder crops/CDF/ MC_nonrice_irr_CDF_av.nc MC_rice_irr_CDF_av.nc Files in the folder crops/awCap/ MC_nonrice_irr_awCap_av.nc MC_rfd_awCap_av.nc MC_rice_irr_awCap_av.nc Files in the folder crops/KcTS/ MC_nonrice_irr_Kc_av.nc MC_rfd_Kc_av.nc MC_rice_irr_Kc_av.nc Files in the folder crops/LandFracTS/ MC_fallow_fr.nc MC_nonrice_irr_fr_av.nc MC_rfd_fr_av.nc MC_rice_irr_fr_av.nc Files in the folder glaciers/ global_rgi6_glaciers_1km.tif glacier_RDI40_6min_2000_m.nc glacier_RDI40_6min_2000_y.nc glacier_RDI40_6min_2001_m.nc glacier_RDI40_6min_2001_y.nc glacier_RDI40_6min_2002_m.nc glacier_RDI40_6min_2002_y.nc glacier_RDI40_6min_2003_m.nc glacier_RDI40_6min_2003_y.nc glacier_RDI40_6min_2004_m.nc glacier_RDI40_6min_2004_y.nc glacier_RDI40_6min_2005_m.nc glacier_RDI40_6min_2005_y.nc glacier_RDI40_6min_2006_m.nc glacier_RDI40_6min_2006_y.nc glacier_RDI40_6min_2007_m.nc glacier_RDI40_6min_2007_y.nc glacier_RDI40_6min_2008_m.nc glacier_RDI40_6min_2008_y.nc glacier_RDI40_6min_2009_m.nc glacier_RDI40_6min_2009_y.nc Files in the folder irrigation/ FAO_SWGW_ratio_mod.tif wbm_irrigationGross_Freq_dc.nc Files in the folder network/ Merrimack_stn210_Subset.tif Files in the folder soil/ Effective_Rooting_depth_mod.tif Files in the folder data_init/climate/ merra2_prectotcorr_d.init merra2_t2m_d.init Files in the folder data_init/crops/ MIRCA2000_average_landCoverParameters.ods MIRCA2000_average_landCoverParameters.csv mirca_cropAreaFraction.init rice_percolationRate.init Files in the folder data_init/crops/added_water/ MC_rice_irr_AddedWater_av.init Files in the folder data_init/crops/awCap/ MC_nonrice_irr_awCap_av.init MC_rfd_awCap_av.init MC_rice_irr_awCap_av.init Files in the folder data_init/crops/CDF/ MC_nonrice_irr_CDF_av.init MC_rice_irr_CDF_av.init Files in the folder data_init/crops/KcTS/ MC_nonrice_irr_Kc_av.init MC_rfd_Kc_av.init MC_rice_irr_Kc_av.init Files in the folder data_init/crops/LandFracTS/ MC_fallow_fr.init MC_nonrice_irr_fr_av.init MC_rfd_fr_av.init MC_rice_irr_fr_av.init Files in the folder data_init/dams/ HydConDams_Global_v2.0.init Files in the folder data_init/glaciers/ glacier_RDI40_6min_ERA-Interim_hindcast_Discharge_m.init glacier_RDI40_6min_ERA-Interim_hindcast_Volume_y.init glacier_RDI6_6min_ERA-Interim_hindcast_Area_yc.init global_rgi6_glaciers_area_1km.init Files in the folder data_init/irrigation/ FAO_SWGW_ratio_mod.init irrEfficiency.init Merra_irrigationGross_Freq_dc.init Files in the folder data_init/soil/ Effective_Rooting_Depth_mod.init harmonized_AWC_5min.init harmonized_AWC_5min_mer.init 2. Relationship between files, if important: Each gridded data file has a matching metadata .init file. The metadata .init files contain a relative file path to the location of the data file. The directory structure provided here has the correct relative paths between the data and metadata files. We do not recommend changing the directory structure when using these data as input to WBM. 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? No A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated? METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: These data were produced over several years as the Water Balance Model was developed and input data sets were needed. In almost all cases, we gathered data either from available downloads and processed those data for use in WBM, or we gathered the data by directly contacting the authors of papers, and processed those data for use in WBM. The one exception to the above description of data collection is the file wbm_irrigationGross_Freq_dc.nc, which is WBM model output. This model output is the daily amount of irrigation water required in each global grid cell as a proportion of total annual irrigation water required. This data is used as input to the irrigation reservoir operation module in WBM. 2. Methods for processing the data: Crop data: All crop data provided here is derived from the MIRCA2000 global crop dataset (Portmann et al., 2010), which is available here: https://www.uni-frankfurt.de/45218023/MIRCA. Processing done to the MIRCA2000 data for use in WBM: 1. Aggregate 26 crop types to 4 representative crop types 2. Use crop calendars and growing area grids to produce gridded time series fo growing area for the 4 aggregate crops 3. Use crop calendars and growing area grids to produce gridded time series for rice paddy flooding The original MIRCA2000 dataset provides gridded monthly growing areas and parameters (Kc, root depth, and CDF) for 26 irrigated and rained crops. For use in WBM, we aggregated the crop parameters to represent only 4 crop categories: irrigated non-rice, rainfed non-rice, irrigated rice, and rainfed rice. Aggregation was done by weighing each crop parameter by the growing area within a grid cell, and producing a weighted mean crop parameter value for each grid, for each month. We used the MIRCA2000 Cropping Calendar to produce a gridded time series of growing area for each of the 4 aggregate crops. We converted the aggregate crop root depth parameter to an available water capacity (awCap) parameter by calculating: root depth * (field capacity - wilting point) for each grid cell. Field capacity and wilting point are soil properties. The file MC_rice_irr_AddedWater_av.nc lists, for each grid cell with rice and each day, water added to rice paddies in order to flood them on the planting day. This file uses the MIRCA2000 Crop Calendar to identify rice planting day by grid cell, and the MIRCA200 Monthly Growing Area Grids to identify grid cells with rice each month. Glacier data: Glacier data are from the GloGEM model described in: Huss, M., & Hock, R. (2015). A new model for global glacier change and sea-level rise. Frontiers in Earth Science, 3. https://doi.org/10.3389/feart.2015.00054. Processing done to the GloGEM data for use in WBM: 1. Identification of grid cell to receive glacier runoff 2. Application of changes in glacier area to multi-grid cell glaciers The GloGEM model data are not provided along with the paper Huss and Hock (2015); we contacted the authors for access to their model output. GloGEM output is provided as point data, with glacier runoff and area associated with each glacier location in the Randolph Glacier Inventory (RGI). To produce the data provided here as input to WBM, we rasterized this point data. Some glaciers cover an area greater than a single WBM 5-arcminute grid cell. In this case, a single grid cell is identified as the grid cell to receive the glacier runoff water. The grid cell chosen is the one furthest downstream, according to the digital river network, when considering all the grid cells covered by the glacier. Changes in glacier area are applied proportionally to all grid cells covered by the glacier. Irrigation data: The file FAO_SWGW_ratio_mod.tif is derived from data available on FAO AQUASTAT. AQUASTAT provides country-level information on irrigation water withdrawal by surface water and total groundwater. We rasterized this country-level data to provide the proportion of total irrigation water that comes from groundwater. Data were downloaded from AQUASTAT in 2015. Network data: The file Merrimack_stn210_Subset.tif is the digital river direction data file of the Merrimack River Basin, produced by the University of New Hampshire, WSAG. The file Effective_Rooting_depth_mod.tif is derived from two other data sets, which are (1) Effective rooting depth from Yang et al. (2016) https://doi.org/10.4225/08/5837b3aa9cb90 and the FAO/UNESCO (2003) Digital Soil Map of the World v3.6 https://www.worldcat.org/title/digital-soil-map-of-the-world-and-derived-soil-properties/oclc/52200846. References: Yang, Yuting; Donohue, Randall; McVicar, Tim (2016): Global effective plant rooting depth. v1. CSIRO. Data Collection. https://doi.org/10.4225/08/5837b3aa9cb90. FAO/UNESCO (2003). Digital soil map of the world and derived soil properties. [Electronic resource]. Rome, Italy: FAO. To produce the data provided here, we (1) gap-filled the Yang et al. (2016) data with the FAO/UNESCO (2003) data, and (2) removed extreme values of < 0 or > 4m. R code used to do these steps is provided here: https://github.com/wsag/WBM/tree/main/utilities/process_root_depth.R The file harmonized_AWC_5min_mer.nc is derived from the Harmonized Soil Map Available Water Capacity, https://www.fao.org/soils-portal/data-hub/soil-maps-and-databases/harmonized-world-soil-database-v12/en/ The data was subset to the Merrimack River basin extent and resampled to 6 minute resolution. References: Fischer, G., F. Nachtergaele, S. Prieler, H.T. van Velthuizen, L. Verelst, D. Wiberg, 2008. Global Agro-ecological Zones Assessment for Agriculture (GAEZ 2008). IIASA, Laxenburg, Austria and FAO, Rome, Italy. 3. Instrument- or software-specific information needed to interpret the data: All data provided here are in one of the following formats: netCDF and tif files: readable by the gdal software https://gdal.org/ init files: these are plain text files readable by any text editor csv files: tab-delimited files readable to any text editor 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: None 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: Danielle Grogan, Shan Zuidema, Richard Lammers, Alex Prusevich, Stanley Glidden, Wil Wollheim DATA-SPECIFIC INFORMATION FOR: [FILENAME] crop_area_fraction.nc 1. Number of variables: 1 2. Number of cases/rows: 2D grid with longitude and latitude dimensions. lon = 4320, lat = 2160 3. Variable List: double lon(lon) ; lon:units = "degrees_east" ; lon:long_name = "lon" ; double lat(lat) ; lat:units = "degrees_north" ; lat:long_name = "lat" ; float crop_area(lat, lon) ; crop_area:units = "fraction" ; 4. Missing data codes: crop_area:_FillValue = -9999. ; crop_area:missing_value = -9999. ; 5. Specialized formats or other abbreviations used: RicePercolationRate.nc 1. Number of variables: 1 2. Number of cases/rows: 2D grid with longitude and latitude dimensions. latitude = 720, longitude = 360 3. Variable List: double latitude(latitude) ; latitude:units = "degrees_east" ; latitude:long_name = "latitude" ; double longitude(longitude) ; longitude:units = "degrees_north" ; longitude:long_name = "longitude" ; float RicePercolationRate(longitude, latitude) ; RicePercolationRate:units = "mm/day" ; 4. Missing data codes: RicePercolationRate:_FillValue = -3.4e+38 ; RicePercolationRate:missing_value = -3.4e+38 ; 5. Specialized formats or other abbreviations used: MC_rice_irr_AddedWater_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rice_irr_AddedWater_av(time, lat, lon) ; MC_rice_irr_AddedWater_av:units = "mm/day" ; 4. Missing data codes: MC_rice_irr_AddedWater_av:_FillValue = -9999.f ; MC_rice_irr_AddedWater_av:missing_value = -9999.f ; 5. Specialized formats or other abbreviations used: MC_nonrice_irr_CDF_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double MC_nonrice_irr_CDF_av(time, lat, lon) ; MC_nonrice_irr_CDF_av:long_name = "MIRCA-2000 averaged irrigated non rice crop depletion factor within general cropland" ; MC_nonrice_irr_CDF_av:units = "unitless" ; 4. Missing data codes: MC_nonrice_irr_CDF_av:missing_value = -9999.f ; MC_nonrice_irr_CDF_av:_FillValue = -9999. ; 5. Specialized formats or other abbreviations used: MC_rice_irr_CDF_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rice_irr_CDF_ave(time, lat, lon) ; MC_rice_irr_CDF_ave:long_name = "MIRCA-2000 averaged irrigated rice depletion factor within general cropland" ; MC_rice_irr_CDF_ave:units = "unitless" ; 4. Missing data codes: MC_rice_irr_CDF_ave:missing_value = -9999.f ; MC_rice_irr_CDF_ave:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_nonrice_irr_awCap_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_nonrice_irr_awCap_av(time, lat, lon) ; MC_nonrice_irr_awCap_av:long_name = "MIRCA-2000 averaged irrigated non rice crop awCapacity within general cropland" ; MC_nonrice_irr_awCap_av:units = "mm" ; 4. Missing data codes: MC_nonrice_irr_awCap_av:missing_value = -9999.f ; MC_nonrice_irr_awCap_av:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_rfd_awCap_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rfd_awCap_av(time, lat, lon) ; MC_rfd_awCap_av:long_name = "MIRCA-2000 averaged rainfed crop awCapacity within general cropland" ; MC_rfd_awCap_av:units = "mm" ; 4. Missing data codes: MC_rfd_awCap_av:missing_value = -9999.f ; MC_rfd_awCap_av:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_rice_irr_awCap_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rice_irr_awCap_ave(time, lat, lon) ; MC_rice_irr_awCap_ave:long_name = "MIRCA-2000 averaged irrigated rice awCapacity within general cropland" ; MC_rice_irr_awCap_ave:units = "mm" ; 4. Missing data codes: MC_rice_irr_awCap_ave:missing_value = -9999.f ; MC_rice_irr_awCap_ave:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_nonrice_irr_Kc_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double MC_nonrice_irr_Kc_av(time, lat, lon) ; MC_nonrice_irr_Kc_av:long_name = "MIRCA-2000 averaged irrigated non rice crop Kc within general cropland" ; MC_nonrice_irr_Kc_av:units = "unitless" ; 4. Missing data codes: MC_nonrice_irr_Kc_av:missing_value = -9999.f ; MC_nonrice_irr_Kc_av:_FillValue = -9999. ; 5. Specialized formats or other abbreviations used: MC_rfd_Kc_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double MC_rfd_Kc_av(time, lat, lon) ; MC_rfd_Kc_av:long_name = "MIRCA-2000 averaged rainfed crop Kc within general cropland" ; MC_rfd_Kc_av:units = "unitless" ; 4. Missing data codes: MC_rfd_Kc_av:missing_value = -9999.f ; MC_rfd_Kc_av:_FillValue = -9999. ; 5. Specialized formats or other abbreviations used: MC_rice_irr_Kc_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double MC_rice_irr_Kc_av(time, lat, lon) ; MC_rice_irr_Kc_av:long_name = "MIRCA-2000 averaged irrigated rice rice Kc within general cropland" ; MC_rice_irr_Kc_av:units = "unitless" ; 4. Missing data codes: MC_rice_irr_Kc_av:missing_value = -9999.f ; MC_rice_irr_Kc_av:_FillValue = -9999. ; 5. Specialized formats or other abbreviations used: MC_fallow_fr.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_fallow_fr(time, lat, lon) ; MC_fallow_fr:long_name = "MIRCA-2000 fallow land fraction within general cropland" ; MC_fallow_fr:units = "fraction" ; 4. Missing data codes: MC_fallow_fr:missing_value = -9999.f ; MC_fallow_fr:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_nonrice_irr_fr_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_nonrice_irr_fr_av(time, lat, lon) ; MC_nonrice_irr_fr_av:_FillValue = -9999.f ; MC_nonrice_irr_fr_av:long_name = "MIRCA-2000 averaged irrigated non rice crop fraction within general cropland" ; MC_nonrice_irr_fr_av:units = "fraction" ; 4. Missing data codes: MC_nonrice_irr_fr_av:missing_value = -9999.f ; MC_nonrice_irr_fr_av:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_rfd_fr_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rfd_fr_av(time, lat, lon) ; MC_rfd_fr_av:long_name = "MIRCA-2000 averaged rainfed crop fraction within general cropland" ; MC_rfd_fr_av:units = "fraction" ; 4. Missing data codes: MC_rfd_fr_av:missing_value = -9999.f ; MC_rfd_fr_av:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: MC_rice_irr_fr_av.nc 1. Number of variables: 1 2. Number of cases/rows: lat = 2160, lon = 4320, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily_clim" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float MC_rice_irr_fr_ave(time, lat, lon) ; MC_rice_irr_fr_ave:long_name = "MIRCA-2000 averaged irrigated rice fraction within general cropland" ; MC_rice_irr_fr_ave:units = "fraction" ; 4. Missing data codes: MC_rice_irr_fr_ave:missing_value = -9999.f ; MC_rice_irr_fr_ave:_FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: global_rgi6_glaciers_1km.tif 1. Number of variables: 1 2. Number of cases/rows: lat = 21600, lon = 43200 3. Variable List: Param_Name => 'Area Fraction', Units => 'fraction', 4. Missing data codes: 5. Specialized formats or other abbreviations used: glacier_RDI40_6min_200X_m.nc (where X = 2000 through 2009) 1. Number of variables: 12 2. Number of cases/rows: lat = 1800, lon = 3600, time = 12 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double Snow_km2(time, lat, lon) ; Snow_km2:_FillValue = -9999. ; Snow_km2:long_name = "Glacial Snow, Glacier model data from UAF (v.2, M.Huss)" ; Snow_km2:units = "m3/month/km2" ; Snow_km2:missing_value = -9999.f ; double Balance_km2(time, lat, lon) ; Balance_km2:_FillValue = -9999. ; Balance_km2:long_name = "Glacial Balance, Glacier model data from UAF (v.2, M.Huss)" ; Balance_km2:units = "m3/month/km2" ; Balance_km2:missing_value = -9999.f ; double Refreezing(time, lat, lon) ; Refreezing:_FillValue = -9999. ; Refreezing:long_name = "Glacial Refreezing, Glacier model data from UAF (v.2, M.Huss)" ; Refreezing:units = "m3/month/6minCell" ; Refreezing:missing_value = -9999.f ; double Melt_km2(time, lat, lon) ; Melt_km2:_FillValue = -9999. ; Melt_km2:long_name = "Glacial Melt, Glacier model data from UAF (v.2, M.Huss)" ; Melt_km2:units = "m3/month/km2" ; Melt_km2:missing_value = -9999.f ; double Precip_km2(time, lat, lon) ; Precip_km2:_FillValue = -9999. ; Precip_km2:long_name = "Glacial Precip, Glacier model data from UAF (v.2, M.Huss)" ; Precip_km2:units = "m3/month/km2" ; Precip_km2:missing_value = -9999.f ; double Melt(time, lat, lon) ; Melt:_FillValue = -9999. ; Melt:long_name = "Glacial Melt, Glacier model data from UAF (v.2, M.Huss)" ; Melt:units = "m3/month/6minCell" ; Melt:missing_value = -9999.f ; double Refreezing_km2(time, lat, lon) ; Refreezing_km2:_FillValue = -9999. ; Refreezing_km2:long_name = "Glacial Refreezing, Glacier model data from UAF (v.2, M.Huss)" ; Refreezing_km2:units = "m3/month/km2" ; Refreezing_km2:missing_value = -9999.f ; double Precip(time, lat, lon) ; Precip:_FillValue = -9999. ; Precip:long_name = "Glacial Precip, Glacier model data from UAF (v.2, M.Huss)" ; Precip:units = "m3/month/6minCell" ; Precip:missing_value = -9999.f ; double Snow(time, lat, lon) ; Snow:_FillValue = -9999. ; Snow:long_name = "Glacial Snow, Glacier model data from UAF (v.2, M.Huss)" ; Snow:units = "m3/month/6minCell" ; Snow:missing_value = -9999.f ; double Discharge_km2(time, lat, lon) ; Discharge_km2:_FillValue = -9999. ; Discharge_km2:long_name = "Glacial Discharge, Glacier model data from UAF (v.2, M.Huss)" ; Discharge_km2:units = "m3/month/km2" ; Discharge_km2:missing_value = -9999.f ; double Discharge(time, lat, lon) ; Discharge:_FillValue = -9999. ; Discharge:long_name = "Glacial Discharge, Glacier model data from UAF (v.2, M.Huss)" ; Discharge:units = "m3/month/6minCell" ; Discharge:missing_value = -9999.f ; double Balance(time, lat, lon) ; Balance:_FillValue = -9999. ; Balance:long_name = "Glacial Balance, Glacier model data from UAF (v.2, M.Huss)" ; Balance:units = "m3/month/6minCell" ; Balance:missing_value = -9999.f ; 4. Missing data codes: _FillValue = -9999. ; missing_value = -9999.f ; 5. Specialized formats or other abbreviations used: glacier_RDI40_6min_200X_y.nc (where X = 2000 through 2009) 1. Number of variables: 6 2. Number of cases/rows: lat = 1800, lon = 3600, time = 1 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily" ; time:calendar = "standard" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; double Volume_km2(time, lat, lon) ; Volume_km2:_FillValue = -9999. ; Volume_km2:long_name = "Glacial Volume, Glacier model data from UAF (v.2, M.Huss)" ; Volume_km2:units = "m3/km2" ; Volume_km2:missing_value = -9999.f ; double Area_km2(time, lat, lon) ; Area_km2:_FillValue = -9999. ; Area_km2:long_name = "Glacial Area, Glacier model data from UAF (v.2, M.Huss)" ; Area_km2:units = "m2/km2" ; Area_km2:missing_value = -9999.f ; double Volume(time, lat, lon) ; Volume:_FillValue = -9999. ; Volume:long_name = "Glacial Volume, Glacier model data from UAF (v.2, M.Huss)" ; Volume:units = "m3/6minCell" ; Volume:missing_value = -9999.f ; double Area(time, lat, lon) ; Area:_FillValue = -9999. ; Area:long_name = "Glacial Area, Glacier model data from UAF (v.2, M.Huss)" ; Area:units = "m2/6minCell" ; Area:missing_value = -9999.f ; double Ablation_km2(time, lat, lon) ; Ablation_km2:_FillValue = -9999. ; Ablation_km2:long_name = "Glacial Ablation, Glacier model data from UAF (v.2, M.Huss)" ; Ablation_km2:units = "m3/yr/km2" ; Ablation_km2:missing_value = -9999.f ; double Ablation(time, lat, lon) ; Ablation:_FillValue = -9999. ; Ablation:long_name = "Glacial Ablation, Glacier model data from UAF (v.2, M.Huss)" ; Ablation:units = "m3/yr/6minCell" ; Ablation:missing_value = -9999.f ; 4. Missing data codes: _FillValue = -9999. ; missing_value = -9999.f ; 5. Specialized formats or other abbreviations used: FAO_SWGW_ratio_mod.tif 1. Number of variables: 1 2. Number of cases/rows: lat = 360, lon = 720 3. Variable List: BAND Unit => Ratio 4. Missing data codes: NoData Value=-9999 5. Specialized formats or other abbreviations used: wbm_irrigationGross_Freq_dc.nc 1. Number of variables: 2 2. Number of cases/rows: lat = 360, lon = 720, time = 365 3. Variable List: int time(time) ; time:long_name = "Time" ; time:resolution = "daily" ; time:calendar = "365_day" ; time:units = "days since 1900-1-1" ; double lat(lat) ; lat:long_name = "latitude" ; lat:units = "degrees_north" ; double lon(lon) ; lon:long_name = "longitude" ; lon:units = "degrees_east" ; float grossIrrFreq(time, lat, lon) ; grossIrrFreq:_FillValue = -9999.f ; grossIrrFreq:long_name = "Daily frequency of regional gross irrigation" ; grossIrrFreq:units = "unitless" ; grossIrrFreq:missing_value = -9999.f ; float grossIrr(time, lat, lon) ; grossIrr:_FillValue = -9999.f ; grossIrr:long_name = "Regional gross irrigation" ; grossIrr:units = "mm/day" ; grossIrr:missing_value = -9999.f ; 4. Missing data codes: missing_value = -9999.f _FillValue = -9999.f ; 5. Specialized formats or other abbreviations used: Effective_Rooting_depth_mod.tif 1. Number of variables: 1 2. Number of cases/rows: lat = 360, lon = 720 3. Variable List: Band 1 Block=720x2 Type=Float32, ColorInterp=Gray Min=0.000 Max=4.000 Minimum=0.000, Maximum=4.000, Mean=0.686, StdDev=0.777 NoData Value=-3.39999999999999996e+38 4. Missing data codes: NoData Value=-3.39999999999999996e+38 5. Specialized formats or other abbreviations used: