--- - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This table contains data on the energy trade, supply and consumption of coal, oil, gas, electricity, heat, combustible renewables and waste, expressed in thousand tonnes of oil equivalent (ktoe).' description_attribution: https://www.oecd-ilibrary.org/energy/data/iea-world-energy-statistics-and-balances/world-energy-balances_data-00512-en doi: 10.1787/data-00512-en end_time: ~ href: https://data.globalchange.gov/dataset/iea-world-energy-balances.yaml identifier: iea-world-energy-balances lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: IEA World energy balances native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/iea-world-energy-balances url: https://www.oecd-ilibrary.org/energy/data/iea-world-energy-statistics-and-balances/world-energy-balances_data-00512-en variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: The database contains statistics on energy as well as the energy balances of OECD and non-OECD countries. description_attribution: https://www.oecd-ilibrary.org/energy/data/iea-world-energy-statistics-and-balances_enestats-data-en doi: 10.1787/enestats-data-en end_time: ~ href: https://data.globalchange.gov/dataset/iea-world-energy-statistics-balances.yaml identifier: iea-world-energy-statistics-balances lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: IEA World Energy Statistics and Balances native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/iea-world-energy-statistics-balances url: https://www.oecd-ilibrary.org/energy/data/iea-world-energy-statistics-and-balances_enestats-data-en variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'EPA has prepared the Inventory of U.S. Greenhouse Gas Emissions and Sinks since the early 1990s. This annual report provides a comprehensive accounting of total greenhouse gas emissions for all man-made sources in the United States. The gases covered by the Inventory include carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride, and nitrogen trifluoride. The Inventory also calculates carbon dioxide emissions that are removed from the atmosphere by “sinks,” e.g., through the uptake of carbon and storage in forests, vegetation, and soils.' description_attribution: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2016.yaml identifier: inventory-us-greenhouse-gas-emissions-sinks-1990-2016 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Inventory of U.S. Greenhouse Gas Emissions and Sinks 1990 - 2016' native_id: ~ processing_level: ~ publication_year: 2018 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2016 url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2016 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'EPA has prepared the Inventory of U.S. Greenhouse Gas Emissions and Sinks since the early 1990s. This annual report provides a comprehensive accounting of total greenhouse gas emissions for all man-made sources in the United States. The gases covered by the Inventory include carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride, and nitrogen trifluoride. The Inventory also calculates carbon dioxide emissions that are removed from the atmosphere by “sinks,” e.g., through the uptake of carbon and storage in forests, vegetation, and soils.' description_attribution: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2017.yaml identifier: inventory-us-greenhouse-gas-emissions-sinks-1990-2017 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2017' native_id: ~ processing_level: ~ publication_year: 2019 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2017 url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2017 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'EPA has prepared the Inventory of U.S. Greenhouse Gas Emissions and Sinks since the early 1990s. This annual report provides a comprehensive accounting of total greenhouse gas emissions for all man-made sources in the United States. The gases covered by the Inventory include carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride, and nitrogen trifluoride. The Inventory also calculates carbon dioxide emissions that are removed from the atmosphere by “sinks,” e.g., through the uptake of carbon and storage in forests, vegetation, and soils.' description_attribution: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2018.yaml identifier: inventory-us-greenhouse-gas-emissions-sinks-1990-2018 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990-2018' native_id: ~ processing_level: ~ publication_year: 2020 release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/inventory-us-greenhouse-gas-emissions-sinks-1990-2018 url: https://www.epa.gov/ghgemissions/inventory-us-greenhouse-gas-emissions-and-sinks-1990-2018 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This project provides estimates of the surface-atmosphere CO2 exchange based on atmospheric measurements, with a focus on its temporal variations. The fluxes have been calculated using an ``atmospheric transport inversion''. The set-up of the algorithm has been guided by the intention that flux variability be dominated by the signals in the atmospheric CO2 data, by avoiding time-dependent elements in the a-priori constraints." description_attribution: http://www.bgc-jena.mpg.de/CarboScope/?ID=s99_v3.7 doi: 10.17871/CarboScope-s99_v3.8 end_time: ~ href: https://data.globalchange.gov/dataset/jena-carboscope-version-s99_v3_8.yaml identifier: jena-carboscope-version-s99_v3_8 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Jena CarboScope Version s99_v3.8 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/jena-carboscope-version-s99_v3_8 url: http://www.bgc-jena.mpg.de/CarboScope/s/s99_v3.8.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'K-State Research & Extension weather stations are at the root of the Kansas Mesonet. These stations were established in 1986 at KSRE research centers and experiment facilities around the state. Most were co-located with National Weather Service Cooperative Observing Stations. Since that period our network has grown and we now collaborate with the Kansas Water Office, Big Bend Groundwater Management District, the Equus Beds Groundwater Management District, and the USDA Soil Climate Analysis Network.' description_attribution: http://mesonet.k-state.edu/about/ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/k-state-kansas-mesonet.yaml identifier: k-state-kansas-mesonet lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: K-State Kansas Mesonet native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/k-state-kansas-mesonet url: http://mesonet.k-state.edu/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: 'Livneh B., E.A. Rosenberg, C. Lin, B. Nijssen, V. Mishra, K.M. Andreadis, E.P. Maurer, and D.P. Lettenmaier, 2013: A Long-Term Hydrologically Based Dataset of Land Surface Fluxes and States for the Conterminous United States: Update and Extensions, Journal of Climate, 26, 9384–9392.' data_qualifier: ~ description: 'This CONUS daily dataset from 1915 to 2011 is 1/16 resolution. The dataset variables have been generated using the Variable Infiltration Capacity VIC hydrologic model v.4.1.2.c which was driven with the companion meteorological data. These meteorological data represent approximately 20,000 NCDC stations across CONUS, (plus a smaller number of Enviro-Can stations for the Canadian portion of the Columbia river) gridded to 211687 points at a 1/16 degree spatial resolution, running from 1 Jan 1915 - 31 Dec 2011' description_attribution: https://www.esrl.noaa.gov/psd/data/gridded/data.livneh.html doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/livneh-daily-conus-near-surface-gridded-meteorological-derived-hydrometeorological-data.yaml identifier: livneh-daily-conus-near-surface-gridded-meteorological-derived-hydrometeorological-data lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Livneh daily CONUS near-surface gridded meteorological and derived hydrometeorological data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/livneh-daily-conus-near-surface-gridded-meteorological-derived-hydrometeorological-data url: https://www.esrl.noaa.gov/psd/data/gridded/data.livneh.html variables: ~ version: ~ vertical_extent: ~ - access_dt: 2017-02-15T00:00:00 attributes: Global historical surface temperature anomalies relative to a 1961-1990 reference period. cite_metadata: 'Morice, C.P., J.J. Kennedy, N.A. Rayner, and P.D. Jones, 2012: Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set. J. Geophys. Res., 117, D08101, doi: 10.1029/2011JD017187.' data_qualifier: ~ description: 'HadCRUT4 is a gridded dataset of global historical surface temperature anomalies relative to a 1961-1990 reference period. Data are available for each month since January 1850, on a 5 degree grid. The dataset is a collaborative product of the Met Office Hadley Centre and the Climatic Research Unit at the University of East Anglia. The gridded data are a blend of the CRUTEM4 land-surface air temperature dataset and the HadSST3 sea-surface temperature (SST) dataset. The dataset is presented as an ensemble of 100 dataset realisations that sample the distribution of uncertainty in the global temperature record given current understanding of non-climatic factors affecting near-surface temperature observations. This ensemble approach allows characterisation of spatially and temporally correlated uncertainty structure in the gridded data, for example arising from uncertainties in methods used to account for changes in SST measurement practices, homogenisation of land station records and the potential impacts of urbanisation. The HadCRUT4 data are neither interpolated nor variance adjusted.' description_attribution: https://www.metoffice.gov.uk/hadobs/hadcrut4/ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/mohc-hadcrut4_v4_5_0_0.yaml identifier: mohc-hadcrut4_v4_5_0_0 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: 'HadCRUT4, Version 4.5.0.0' native_id: ~ processing_level: ~ publication_year: 2012 release_dt: 2012-10-29T00:00:00 scale: ~ scope: ~ spatial_extent: 'maximum_latitude: 90.00; minimum_latitude: -90.00; maximum_longitude: 180.00; minimum_longitude: -180.00;' spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: 1850-01-01T00:00:00 2012-12-31T23:59:59 temporal_resolution: ~ type: ~ uri: /dataset/mohc-hadcrut4_v4_5_0_0 url: https://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/download.html variables: ~ version: 4.5.0.0 vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: 'Jin, S., Yang, L., Danielson, P., Homer, C., Fry, J., and Xian, G. 2013. A comprehensive change detection method for updating the National Land Cover Database to circa 2011. Remote Sensing of Environment, 132: 159 – 175, doi:10.1016/j.rse.2013.01.012' data_qualifier: ~ description: 'National Land Cover Database 2011 (NLCD 2011) is the most recent national land cover product created by the Multi-Resolution Land Characteristics (MRLC) Consortium. NLCD 2011 provides the capability to assess wall-to-wall, spatially explicit, national land cover changes and trends across the United States from 2001 to 2011. The objective of the Comprehensive Change Detection Methodology (CCDM) is to detect areas of spectral changes between 2006 and 2011 where either a land cover change or a land disturbance, caused by either a natural or anthropogenic agent, has occurred. The CCDM integrates spectral information from multi-date Landsat images, information on land cover status, and prior knowledge about the trajectory of land cover trends. For NLCD 2011, the product generated by CCDM is regarded as the Maximum Potential Change (MPC) that captures all potential land cover change areas rather than only areas where actual land cover change occurred, that is, only a portion of the MPC is related to actual land cover and land use changes (e.g. land conversion). The final land cover change product of NLCD 2011 is derived by integrating the MPC with the NLCD 2006 and NLCD 2011 land cover classification results. Through this integration, only those pixels within MPC that observed a real land cover change between 2006 and 2011 will be retained in the final land cover change product. Together, the MPC and the final land cover change are the two separate yet complimentary products of the NLCD 2011.' description_attribution: https://www.mrlc.gov/data/nlcd-2011-land-cover-conus-0 doi: ~ end_time: 2011-12-31T23:59:59 href: https://data.globalchange.gov/dataset/mrlc-mrlc-nlcd2011.yaml identifier: mrlc-mrlc-nlcd2011 lat_max: 49.23 lat_min: 24.31 lon_max: -66.57 lon_min: -124.46 name: National Land Cover Database 2011 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: 30 meters start_time: 2011-01-01T00:00:01 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/mrlc-mrlc-nlcd2011 url: https://www.mrlc.gov/data/nlcd-2011-land-cover-conus-0 variables: ~ version: 2011 vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "RSS currently provides a number of data products constructed by merging the MSU and AMSU Data from different satellites together. \r\nThese include 3 single-channel MSU/AMSU datasets (TMT, TTS, and TLS) that extend back to late 1978 5 single channel AMSU-only stratospheric datasets (C10, C11, C12, C13, and C14) that begin in mid 1998. These datasets are fairly early in their development process and should be considered preliminary (C10-C12) or experimental (C13 and C14). \r\n\r\nTLT is a more complex dataset constructed by calculating a weighted difference between measurements made at different Earth incidence angles to extrapolate MSU channel 2 and AMSU channel 5 measurements lower in the atmosphere. 2 multi-channel datasets, TTT and C25, that are constructed from weighted combinations of the single channel datasets. Since C25 is constructed from AMSU Channels C10-C13, it should be considered preliminary." description_attribution: http://www.remss.com/missions/amsu/ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/msu-amsu-a-mean-layer-atmospheric-temperatures-version-4.yaml identifier: msu-amsu-a-mean-layer-atmospheric-temperatures-version-4 lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: MSU/AMSU-A Mean Layer Atmospheric Temperatures Version 4 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/msu-amsu-a-mean-layer-atmospheric-temperatures-version-4 url: http://images.remss.com/msu/msu_time_series.html variables: ~ version: 4.0 vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "The Clouds and the Earth's Radiant Energy System (CERES) is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999, and two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002." description_attribution: https://eosweb.larc.nasa.gov/project/ceres/ceres_table doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-asdcdaac-ceres.yaml identifier: nasa-asdcdaac-ceres lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Clouds and the Earth's Radiant Energy System (CERES) native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-asdcdaac-ceres url: https://eosweb.larc.nasa.gov/project/ceres/ceres_table variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This file contains Ellipsoid-projected TOA Radiance,resampled at the surface and topographically corrected, as well as geometrically corrected by PGE22' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-asdcdaac-mi1b2e.yaml identifier: nasa-asdcdaac-mi1b2e lat_max: 90.0 lat_min: -90.0 lon_max: 180.0 lon_min: -180.0 name: MISR Level 1B2 Ellipsoid Data V003 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1999-12-18T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-asdcdaac-mi1b2e url: https://cmr.earthdata.nasa.gov/search/concepts/C66215276-LARC.html variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Surface Meteorology and Solar Energy data - over 200 satellite-derived meteorology and solar energy parameters, monthly averaged from 22 years of data, global solar data for 1195 ground sites' description_attribution: https://eosweb.larc.nasa.gov/cgi-bin/sse/sse.cgi?skip@larc.nasa.gov+s08#s08 doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-asdcdaac-sse.yaml identifier: nasa-asdcdaac-sse lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Surface Meteorology and Solar Energy native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-asdcdaac-sse url: https://power.larc.nasa.gov/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "TES focuses on the troposphere, the layer of atmosphere that stretches from the ground to the altitude at which airplanes fly. With very high spectral resolution, TES can distinguish concentrations of gases at different altitudes, a key factor in understanding their behavior and impact. It's the first orbiting instrument able to do this with ozone, a very important chemical with regard to both global warming and air pollution.
The primary location for obtaining TES data is NASA's Warehouse Inventory Search Tool (WIST). The TES Data Sets page at NASA Langley Research Center (LaRC ASDC) provides access to software read tools, a Data Pool, and supporting documentation." description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-asdcdaac-tes.yaml identifier: nasa-asdcdaac-tes lat_max: ~ lat_min: ~ lon_max: ~ lon_min: ~ name: Tropospheric Emission Spectrometer (TES) Data native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-asdcdaac-tes url: https://eosweb.larc.nasa.gov/project/tes/tes_table variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'The goal of the Global Land Data Assimilation System (GLDAS) is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes (Rodell et al., 2004a). The software, which has been streamlined and parallelized by the Land Information System (LIS) sister project, drives multiple, offline (not coupled to the atmosphere) land surface models, integrates a huge quantity of observation based data, executes globally at high resolutions (2.5-degrees to 1 km), and is capable of producing results in near-real time. A vegetation-based tiling approach is used to simulate sub-grid scale variability, with a 1-km global vegetation dataset as its basis. Soil and elevation parameters are based on high resolution global datasets. Observation-based precipitation and downward radiation products and the best available analyses from atmospheric data assimilation systems are employed to force the models. Intercomparison and validation of these products is being performed with the aim of identifying an optimal forcing scheme. Data assimilation techniques for incorporating satellite based hydrological products, including snow cover and water equivalent, soil moisture, surface temperature, and leaf area index, are now being implemented as part of a follow-on project funded by the NASA Energy and Water Cycle Study (NEWS) Initiative. The high-quality, global land surface fields provided by GLDAS support several current and proposed weather and climate prediction, water resources applications, and water cycle investigations. The project has resulted in a massive archive of modeled and observed, global, surface meteorological data, parameter maps, and output which includes 1-degree and 0.25-degree resolution 1979-present simulations of the Noah, CLM, VIC, and Mosaic land surface models. For more information visit: http://ldas.gsfc.nasa.gov/gldas/ For data access visit: http://disc.sci.gsfc.nasa.gov/hydrology/data-holdings' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-gldas.yaml identifier: nasa-gesdisc-gldas lat_max: 90.0 lat_min: -60.0 lon_max: 180.0 lon_min: -180.0 name: Global Land Data Assimilation System native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: ~ temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-gldas url: http://ldas.gsfc.nasa.gov/gldas/ variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Global Land Data Assimilation System Version 2 (hereafter, GLDAS-2) has two components: one forced entirely with the Princeton meteorological forcing data (hereafter, GLDAS-2.0), and the other forced with a combination of model and observation based forcing data sets (hereafter, GLDAS-2.1). This data set, GLDAS-2.0 0.25 degree 3-hourly, contains a series of land surface parameters simulated from the Noah Model 3.3, currently covers from 1948 to 2010 and will be extended to recent years as the data set becomes available. The model simulation was initialized on simulation date January 1, 1948, using soil moisture and other state fields from the LSM climatology for that day of the year. The simulation was forced by the global meteorological forcing data set from Princeton University (Sheffield et al., 2006). The simulation used the common GLDAS data sets for land cover (MCD12Q1: Friedl et al., 2010), land water mask (MOD44W: Carroll et al., 2009), soil texture (Reynolds, 1999), and elevation (GTOPO30). The MODIS based land surface parameters are used in the current GLDAS-2.x products while the AVHRR base parameters were used in GLDAS-1 and previous GLDAS-2 products (prior to October 2012). The main objective for Version 2 is to create more climatologically consistent data sets using the Princeton forcing data sets extending from 1948. In Version 1, forcing sources switched several times throughout the record from 1979 to present, which introduced unnatural trends and exhibited highly uncertain forcing fields in 1995-1997. Other enhancements made in Version 2 include model version upgrade, switching to MODIS based land surface parameter data sets, and initialization of soil moisture over desert. In NOAH model, the bottom layer temperature data set was also updated. More details regarding the land surface parameter data changes at http://ldas.gsfc.nasa.gov/gldas/. WGRIB or other GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter numbers. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_GLDAS_V2.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. There are four vertical levels for the Soil Moisture (PDS 086) and Soil Temperature (PDS 085) in the Noah GRIBT files. For more information, please see the README Document at http://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/GLDAS_NOAH025_3H.020/doc/README.GLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/GLDAS/GLDAS_NOAH025_3H.020.ctl.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-gldas-noah025-3h-020.yaml identifier: nasa-gesdisc-gldas-noah025-3h-020 lat_max: 90.0 lat_min: -60.0 lon_max: 180.0 lon_min: -180.0 name: GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree Version 2.0 V020 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1948-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-gldas-noah025-3h-020 url: https://disc.gsfc.nasa.gov/datasets/GLDAS_NOAH025_3H_2.0/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Global Land Data Assimilation System Version 2 (hereafter, GLDAS-2) has two components: one forced entirely with the Princeton meteorological forcing data (hereafter, GLDAS-2.0), and the other forced with a combination of model and observation based forcing data sets (hereafter, GLDAS-2.1). This data set, GLDAS-2.0 0.25 degree monthly generated through temporal averaging of the 3-hourly data, contains a series of land surface parameters simulated from the Noah Model 3.3, currently covers from 1948 to 2010 and will be extended to recent years as the data set becomes available. The model simulation was initialized on simulation date January 1, 1948, using soil moisture and other state fields from the LSM climatology for that day of the year. The simulation was forced by the global meteorological forcing data set from Princeton University (Sheffield et al., 2006). The simulation used the common GLDAS data sets for land cover (MCD12Q1: Friedl et al., 2010), land water mask (MOD44W: Carroll et al., 2009), soil texture (Reynolds, 1999), and elevation (GTOPO30). The MODIS based land surface parameters are used in the current GLDAS-2.x products while the AVHRR base parameters were used in GLDAS-1 and previous GLDAS-2 products (prior to October 2012). The main objective for Version 2 is to create more climatologically consistent data sets using the Princeton forcing data sets extending from 1948. In Version 1, forcing sources switched several times throughout the record from 1979 to present, which introduced unnatural trends and exhibited highly uncertain forcing fields in 1995-1997. Other enhancements made in Version 2 include model version upgrade, switching to MODIS based land surface parameter data sets, and initialization of soil moisture over desert. In NOAH model, the bottom layer temperature data set was also updated. More details regarding the land surface parameter data changes at http://ldas.gsfc.nasa.gov/gldas/. WGRIB or other GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter numbers. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_GLDAS_V2.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. There are four vertical levels for the Soil Moisture (PDS 086) and Soil Temperature (PDS 085) in the Noah GRIB files. For more information, please see the README Document at http://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/GLDAS_NOAH025_3H.020/doc/README.GLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/GLDAS/GLDAS_NOAH025_M.020.ctl.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-gldas-noah025-m-020.yaml identifier: nasa-gesdisc-gldas-noah025-m-020 lat_max: 90.0 lat_min: -60.0 lon_max: 180.0 lon_min: -180.0 name: GLDAS Noah Land Surface Model L4 monthly 0.25 x 0.25 degree Version 2.0 V020 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1948-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-gldas-noah025-m-020 url: https://disc.gsfc.nasa.gov/datasets/GLDAS_NOAH025_M_V2.0/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Global Land Data Assimilation System Version 2 (hereafter, GLDAS-2) has two components: one forced entirely with the Princeton meteorological forcing data (hereafter, GLDAS-2.0), and the other forced with a combination of model and observation based forcing data sets (hereafter, GLDAS-2.1). This data set, GLDAS-2.0 1.0 degree 3-hourly, contains a series of land surface parameters simulated from the Noah Model 3.3, currently covers from 1948 to 2010 and will be extended to recent years as the data set becomes available. The model simulation was initialized on simulation date January 1, 1948, using soil moisture and other state fields from the LSM climatology for that day of the year. The simulation was forced by the global meteorological forcing data set from Princeton University (Sheffield et al., 2006). The simulation used the common GLDAS data sets for land cover (MCD12Q1: Friedl et al., 2010), land water mask (MOD44W: Carroll et al., 2009), soil texture (Reynolds, 1999), and elevation (GTOPO30). The MODIS based land surface parameters are used in the current GLDAS-2.x products while the AVHRR base parameters were used in GLDAS-1 and previous GLDAS-2 products (prior to October 2012). The main objective for Version 2 is to create more climatologically consistent data sets using the Princeton forcing data sets extending from 1948. In Version 1, forcing sources switched several times throughout the record from 1979 to present, which introduced unnatural trends and exhibited highly uncertain forcing fields in 1995-1997. Other enhancements made in Version 2 include model version upgrade, switching to MODIS based land surface parameter data sets, and initialization of soil moisture over desert. In NOAH model, the bottom layer temperature data set was also updated. More details regarding the land surface parameter data changes at http://ldas.gsfc.nasa.gov/gldas/. WGRIB or other GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter numbers. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_GLDAS_V2.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. There are four vertical levels for the Soil Moisture (PDS 086) and Soil Temperature (PDS 085) in the Noah GRIB files. For more information, please see the README Document at http://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/GLDAS_NOAH10_M.020/doc/README.GLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/GLDAS/GLDAS_NOAH10_M.020.ctl.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-gldas-noah10-3h-020.yaml identifier: nasa-gesdisc-gldas-noah10-3h-020 lat_max: 90.0 lat_min: -60.0 lon_max: 180.0 lon_min: -180.0 name: GLDAS Noah Land Surface Model L4 3 hourly 1.0 x 1.0 degree Version 2.0 V020 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1948-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-gldas-noah10-3h-020 url: https://disc.gsfc.nasa.gov/datasets/GLDAS_NOAH10SUBP_3H_V001/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'Global Land Data Assimilation System Version 2 (hereafter, GLDAS-2) has two components: one forced entirely with the Princeton meteorological forcing data (hereafter, GLDAS-2.0), and the other forced with a combination of model and observation based forcing data sets (hereafter, GLDAS-2.1). This data set, GLDAS-2.0 1.0 degree monthly generated through temporal averaging of the 3-hourly data, contains a series of land surface parameters simulated from the Noah Model 3.3, currently covers from 1948 to 2010 and will be extended to recent years as the data set becomes available. The model simulation was initialized on simulation date January 1, 1948, using soil moisture and other state fields from the LSM climatology for that day of the year. The simulation was forced by the global meteorological forcing data set from Princeton University (Sheffield et al., 2006). The simulation used the common GLDAS data sets for land cover (MCD12Q1: Friedl et al., 2010), land water mask (MOD44W: Carroll et al., 2009), soil texture (Reynolds, 1999), and elevation (GTOPO30). The MODIS based land surface parameters are used in the current GLDAS-2.x products while the AVHRR base parameters were used in GLDAS-1 and previous GLDAS-2 products (prior to October 2012). The main objective for Version 2 is to create more climatologically consistent data sets using the Princeton forcing data sets extending from 1948. In Version 1, forcing sources switched several times throughout the record from 1979 to present, which introduced unnatural trends and exhibited highly uncertain forcing fields in 1995-1997. Other enhancements made in Version 2 include model version upgrade, switching to MODIS based land surface parameter data sets, and initialization of soil moisture over desert. In NOAH model, the bottom layer temperature data set was also updated. More details regarding the land surface parameter data changes at http://ldas.gsfc.nasa.gov/gldas/. WGRIB or other GRIB reader is required to read the files. The data set applies a user-defined parameter table to indicate the contents and parameter numbers. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_GLDAS_V2.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. There are four vertical levels for the Soil Moisture (PDS 086) and Soil Temperature (PDS 085) in the Noah GRIB files. For more information, please see the README Document at http://hydro1.sci.gsfc.nasa.gov/data/s4pa/GLDAS/GLDAS_NOAH10_M.020/doc/README.GLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/GLDAS/GLDAS_NOAH10_3H.020.ctl.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-gldas-noah10-m-020.yaml identifier: nasa-gesdisc-gldas-noah10-m-020 lat_max: 90.0 lat_min: -60.0 lon_max: 180.0 lon_min: -180.0 name: GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree Version 2.0 V020 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1948-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-gldas-noah10-m-020 url: https://gcmd.nasa.gov/KeywordSearch/Metadata.do?Portal=NASA&KeywordPath=Parameters%7CCLIMATE+INDICATORS&EntryId=GES_DISC_GLDAS_NOAH10_M_V020&MetadataView=Full&MetadataType=0&lbnode=mdlb6 variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: "This data set contains the forcing data for Phase 1 of the North American Land Data Assimilation System (NLDAS-1). The data are in 1/8th degree grid spacing and range from 29 Sep 1996 to 31 Dec 2007. The temporal resolution is hourly. The file format is WMO GRIB-1. The chief source of NLDAS-1 forcing is NCEP's Eta model-based Data Assimilation System (EDAS) [Rogers et al., 1995], a continuously cycled North American 4DDA system. It utilizes 3-hourly analysis-forecast cycles to derive atmospheric states by assimilating many types of observations, including station observations of surface pressure and screen-level atmospheric temperature, humidity, and U and V wind components. EDAS 3-hourly fields of the latter five variables plus surface downward shortwave and longwave radiation and total and convective precipitation are provided on a 40-km grid, and then interpolated spatially to the NLDAS grid and temporally to one hour. Last, to account for NLDAS versus EDAS surface-elevation differences, a terrain-height adjustment is applied to the air temperature and surface pressure using a standard lapse rate (6.5 K/km), then to specific humidity (keeping original relative humidity) and downward longwave radiation (for new air temperature, specific humidity). The details of the spatial interpolation, temporal disaggregation, and vertical adjustment are presented by Cosgrove et al. (2003). GOES-based solar insolation (Pinker et al., 2003) provides the primary insolation forcing (shorwave down at the surface) for NLDAS-1. GOES insolation is not retrieved for zenith angles below 75 degrees and so is supplemented with EDAS insolation near the day/night terminator. Last from the GOES-based product suite, Photosynthetically Active Radiation (PAR) and surface brightness temperature fields are included in the NLDAS-1 forcing files. NLDAS-1 precipitation forcing over CONUS is anchored to NCEP's 1/4th degree gauge-only daily precipitation analyses of Higgins et al. [2000]. In NLDAS-1, this daily analysis is interpolated to 1/8th degree, then temporally disaggregated to hourly values by applying hourly weights derived from hourly, 4-km, radar-based (WSR-88D) precipitation fields. The latter radar-based fields are used only to derive disaggregation weights and do not change the daily total precipitation. Last, convective precipitation is estimated by multiplying NLDAS-1 total precipitation by the ratio of EDAS convective to EDAS total precipitation. The Convective Available Potential Energy (CAPE) is the final variable in the forcing data set, also interpolated from EDAS. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORA_hourly.001.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS1.pdf." description_attribution: ~ doi: ~ end_time: 2007-12-31T23:59:59 href: https://data.globalchange.gov/dataset/nasa-gesdisc-nldas-for0125-h-001.yaml identifier: nasa-gesdisc-nldas-for0125-h-001 lat_max: 53.0 lat_min: 25.0 lon_max: -67.0 lon_min: -125.0 name: NLDAS Forcing Data L4 Hourly 0.125 x 0.125 degree V001 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1996-08-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-nldas-for0125-h-001 url: https://disc.gsfc.nasa.gov/datasets/NLDAS_FOR0125_H_V001/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set contains the forcing data for Phase 1 of the North American Land Data Assimilation System (NLDAS-1). The data are in 1/8th degree grid spacing and range from Aug. 1996 to Dec. 2007. The temporal resolution is monthly. The file format is WMO GRIB-1. The NLDAS-1 monthly forcing data, containing 17 variables, are generated from the NLDAS-1 hourly forcing data. Brief description about the NLDAS-1 hourly forcing data can be found from the GCMD DIF for GES_DISC_NLDAS_FOR0125_H_V001 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_H_V001. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FOR_monthly.001.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. The variables, DLWRFsfc, DSWRFsfc, PRESsfc, SPFH2m, TMP2m, UGRD10m, and VGRD10m, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth. The variables, BRTMPsfc and CAPEsfc, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except if any hour has an undefined value of -9999, then do not include the hour in the monthly average. The variables, PARsfc and RGOESsfc, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except if any hour has an undefined value of -9999, then reassign the variable as zero and include the hour in the monthly average. The variables, ACPCPsfc, APCPsfc, PEDASsfc, and PRDARsfc, are the monthly accumulation from 00Z01 of month to 23:59Zlastdayofmonth. However, the ACPCPsfc is actually the sum of the (ACPCPsfc/PEDASsfc)*APCPsfc from each hour, where the ratio of (ACPCPsfc/PEDASsfc) is the fraction of convective precipitation from EDAS, and then multiplied by the APCPsfc to get the convective precipitation. For PRDARsfc accumulation, if hourly PRDARsfc is undefined or negative, fill the hour with a zero value. The last variable, RSWRFsfc, is the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except represents the monthly average of the hourly "blend" of the DSWRFsfc from EDAS and RGOESsfc from GEOS. The blend algorithm is that, for each hour, the RGOESsfc from GEOS is used for all the grid points where it is available, but for where it is not available, the DSWRFsfc from EDAS is used. Because the spatial extent/availability of GEOS varies from hour to hour, this blend is done for hourly data first, and then the monthly average is applied to the hourly blended data. This last variable thus best represents the shortwave radiation flux downwards at the surface that is used in the NLDAS-1 LSMs. More about this blending/supplementation can be found from http://ldas.gsfc.nasa.gov/nldas/NLDAS1forcing.php. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS1.pdf.' description_attribution: ~ doi: ~ end_time: 2007-12-31T23:59:59 href: https://data.globalchange.gov/dataset/nasa-gesdisc-nldas-for0125-m-001.yaml identifier: nasa-gesdisc-nldas-for0125-m-001 lat_max: 53.0 lat_min: 25.0 lon_max: -67.0 lon_min: -125.0 name: NLDAS Forcing Data L4 Monthly 0.125 x 0.125 degree V001 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1996-08-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-nldas-for0125-m-001 url: http://reverb.echo.nasa.gov/reverb?selected=C199001373-GSFCS4PA variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set contains the monthly climatology data of the forcing data for Phase 1 of the North American Land Data Assimilation System (NLDAS-1). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-1 monthly climatology data are the monthly data averaged over the eleven years (1997 - 2007) of the NLDAS-1 monthly data. The file format is WMO GRIB-1. Brief description about the NLDAS-1 hourly and monthly forcing data can be found from the GCMD DIFs for GES_DISC_NLDAS_FOR0125_H_V001 and GES_DISC_NLDAS_FOR0125_M_V001 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_H_V001 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_M_V001. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FOR_monthly.001.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS1.pdf.' description_attribution: ~ doi: ~ end_time: 2007-12-31T23:59:59 href: https://data.globalchange.gov/dataset/nasa-gesdisc-nldas-for0125-mc-001.yaml identifier: nasa-gesdisc-nldas-for0125-mc-001 lat_max: 53.0 lat_min: 25.0 lon_max: -67.0 lon_min: -125.0 name: NLDAS Forcing Data L4 Monthly Climatology 0.125 x 0.125 degree V001 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1997-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-nldas-for0125-mc-001 url: https://disc.gsfc.nasa.gov/datasets/NLDAS_FOR0125_MC_V001/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set contains the primary forcing data "File A" for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is hourly. The file format is WMO GRIB-1. Details about the generation of the NLDAS-2 forcing data sets can be found in Xia et al. (2012). The non-precipitation land surface forcing fields for NLDAS-2 are derived from the analysis fields of the NCEP North American Regional Reanalysis (NARR). NARR analysis fields are 32-km spatial resolution and 3-hourly temporal frequency. Those NARR fields that are utilized to generate NLDAS-2 forcing fields are spatially interpolated to the finer resolution of the NLDAS 1/8th-degree grid and then temporally disaggregated to the NLDAS hourly frequency. Additionally, the fields of surface pressure, surface downward longwave radiation, near-surface air temperature, and near-surface specific humidity are adjusted vertically to account for the vertical difference between the NARR and NLDAS fields of terrain height. This vertical adjustment applies the traditional vertical lapse rate of 6.5 K/km for air temperature. The details of the spatial interpolation, temporal disaggregation, and vertical adjustment are those employed in NLDAS-1, as presented by Cosgrove et al. (2003). The surface downward shortwave radiation field in "File A" is a bias-corrected field wherein a bias-correction algorithm was applied to the NARR surface downward shortwave radiation. This bias correction utilizes five years (1996-2000) of the hourly 1/8th-degree GOES-based surface downward shortwave radiation fields derived by Pinker et al. (2003). The potential evaporation field in "File A" is that computed in NARR using the modified Penman scheme of Mahrt and Ek (1984). The precipitation field in "File A" is not the NARR precipitation forcing, but is rather a product of a temporal disaggregation of a gauge-only CPC analysis of daily precipitation, performed directly on the NLDAS grid and including an orographic adjustment based on the widely-applied PRISM climatology. The precipitation is temporally disaggregated into hourly fields by deriving hourly disaggregation weights from either WSR-88D Doppler radar-based precipitation estimates, 8-km CMORPH hourly precipitation analyses, or NARR-simulated precipitation (based on availability, in order). The latter fields from radar, CMORPH, and NARR are used only to derive disaggregation weights and do not change the daily total precipitation. The field in "File A" that gives the fraction of total precipitation that is convective is an estimate derived from the following two NARR precipitation fields (which are provided in "File B"): NARR total precipitation and NARR convective precipitation (the latter is less than or equal to the NARR total precipitation and can be zero). The Convective Available Potential Energy (CAPE) is the final variable in the forcing data set, also interpolated from NARR. The hourly land surface forcing fields for NLDAS-2 are grouped into two GRIB files, "File A" and "File B". "File A" is the primary (default) forcing file and contains eleven fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORA_hourly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-nldas-fora0125-h-002.yaml identifier: nasa-gesdisc-nldas-fora0125-h-002 lat_max: 53.0 lat_min: 25.0 lon_max: -67.0 lon_min: -125.0 name: NLDAS Primary Forcing Data L4 Hourly 0.125 x 0.125 degree V002 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1979-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-nldas-fora0125-h-002 url: https://disc.gsfc.nasa.gov/datasets/NLDAS_FORA0125_H_V002/summary variables: ~ version: ~ vertical_extent: ~ - access_dt: ~ attributes: ~ cite_metadata: ~ data_qualifier: ~ description: 'This data set contains the monthly primary forcing data "File A" for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is monthly. The file format is WMO GRIB-1. The NLDAS-2 monthly primary forcing data were generated from the NLDAS-2 hourly primary forcing data, as monthly accumulation for total precipitation, convective precipitation, and potential evaporation, and monthly average for other variables. The convective precipitation monthly total is the hourly convective fraction multiplied by the hourly precipitation (both from the NLDAS-2 "File A" files), and then summed over all hours of the month. Monthly period of each month is from 00Z at start of the month to 23:59Z at end of the month. The one exception to this is the first month (Jan. 1979) that starts from 00Z 02 Jan 1979, except for the monthly accumulated precipitation and convective precipitation that both start from 12Z 01 Jan 1979. Brief description about the NLDAS-2 hourly primary forcing data can be found from the GCMD DIF for GES_DISC_NLDAS_FORA0125_H_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FORA0125_H_V002. Details about the generation of the NLDAS-2 forcing datasets can be found in Xia et al. (2012). The monthly land surface forcing fields for NLDAS-2 are grouped into two GRIB files, "File A" and "File B". "File A" is the primary (default) forcing file and contains eleven fields. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FORA_monthly.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf.' description_attribution: ~ doi: ~ end_time: ~ href: https://data.globalchange.gov/dataset/nasa-gesdisc-nldas-fora0125-m-002.yaml identifier: nasa-gesdisc-nldas-fora0125-m-002 lat_max: 53.0 lat_min: 25.0 lon_max: -67.0 lon_min: -125.0 name: NLDAS Primary Forcing Data L4 Monthly 0.125 x 0.125 degree V002 native_id: ~ processing_level: ~ publication_year: ~ release_dt: ~ scale: ~ scope: ~ spatial_extent: ~ spatial_ref_sys: ~ spatial_res: ~ start_time: 1979-01-01T00:00:00 temporal_extent: ~ temporal_resolution: ~ type: ~ uri: /dataset/nasa-gesdisc-nldas-fora0125-m-002 url: https://disc.gsfc.nasa.gov/datasets/NLDAS_FORA0125_M_V002/summary variables: ~ version: ~ vertical_extent: ~