AndreaBozzo/ceres-open-data-index huggingface dataset:
GEWEX SRB Integrated Product (Rel-4_1) Longwave 3-Hourly Land-only Fluxes

GEWEXSRB_Rel4_1-IP_Longwave_3hrly_landonly is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave 3-Hourly Land-only data product. It contains land-only global fields of 26 longwave surface, Top of Atmosphere (TOA), and atmospheric profile radiative parameters derived with the Longwave algorithm of the NASA World Climate Research Programme/Global Energy and Water-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project. This version is an extension of Release 4-Integrated Product with land-only fluxes due to a missing key input from the main data set. The fluxes include all-sky, clear-sky, and pristine-sky TOA upward fluxes (outgoing longwave radiation, OLR), all-sky, clear-sky, and pristine-sky upward and downward fluxes at the tropopause, 200hPa, 500hPa, and surface. In addition to the fluxes, a day/night flag and a status flag of filled cloud properties are also included. Inputs to the longwave algorithm are cloud information based on ISCCP HXS, meteorology from ISCCP nnHIRS, Landflux surface, and MERRA-2 conditionally. The temporal range is July 1983 through December 1987. Data collection for this product is complete.

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-absorption, earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-radiative-flux, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-atmospheric-radiation-atmosphere-transmittance, earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-cloud-radiative-transfer, earth-science-clouds-atmosphere-cloud-radiative-transfer-cloud-radiative-forcing
Organization: National Aeronautics and Space Administration
GEWEX SRB Integrated Product (Rel-4_1) Longwave 3-Hourly Ocean-only Fluxes

GEWEXSRB_Rel4_1-IP_Longwave_3hrly_oceanonly is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave 3-Hourly data product. It contains ocean-only global fields of 26 longwave surface, Top of Atmosphere (TOA), and atmospheric profile radiative parameters derived with the Longwave algorithm of the NASA World Climate Research Programme/Global Energy and Water-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project. This version is an extension of Release 4-Integrated Product with ocean-only fluxes due to a missing key input from the main data set. The fluxes include all-sky, clear-sky, and pristine-sky TOA upward fluxes (outgoing longwave radiation, OLR), all-sky, clear-sky, and pristine-sky upward and downward fluxes at the tropopause, 200hPa, 500hPa, and surface. In addition to the fluxes, a day/night flag and a status flag of filled cloud properties are also included. Inputs to the longwave algorithm are cloud information based on ISCCP HXS, meteorology from ISCCP nnHIRS, SeaFlux SST and surface, and MERRA-2 conditionally. The temporal range is January 2010 through June 2017. Data collection for this product is complete.

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-absorption, earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-radiative-flux, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-atmospheric-radiation-atmosphere-transmittance, earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-cloud-radiative-transfer, earth-science-clouds-atmosphere-cloud-radiative-transfer-cloud-radiative-forcing
Organization: National Aeronautics and Space Administration
GeoCryoAI: Ensemble Learning and the Permafrost Carbon Feedback in Alaska, 1963-2022

This dataset provides model code, input data, sample results, and documentation for an artificial intelligence-driven model, GeoCryoAI. GeoCryoAI is a hybridized process-constrained ensemble learning framework consisting of stacked convolutionally layered long short-term memory-encoded recurrent neural networks. The purpose of GeoCryoAI is to quantify permafrost thaw dynamics and greenhouse gas emissions in Alaska. The dataset includes pre-processed input data (i.e., thaw depth, active layer thickness, thaw subsidence; CO2 flux, CH4 flux) acquired from in situ measurements (e.g., CALM, GTNP, ITEX, SMALT STDM, ReSALT, AmeriFlux, NEON), remote sensing platforms (e.g., UAVSAR, AVIRIS-NG), and process-based modeling products. Field data were included to quantify CO2 and CH4 flux (e.g., chamber, eddy-covariance, and tall-tower measurements via flux tower networks) and active layer thickness (e.g., mechanical probing, borehole temperatures, ground-penetrating radar). These measurements were resampled to a 1-km grid, standardized, transformed, and assimilated into GeoCryoAI, a framework that simultaneously ingests, scales, and analyzes input data after resolving disparate spatiotemporal sampling and data densities. Model outputs were generated from two process-based models: SIBBORK-TTE derived thaw subsidence and TCFM-Arctic generated carbon flux outputs. The objective was to quantify how the Arctic is changing in response to climate change and how evidence of the permafrost carbon feedback may contribute toward a better understanding of the uncertainty of nonlinear feedbacks and their impact on the earth system.

Tags: earth-science-carbon-flux-climate-indicators, earth-science-frozen-ground-cryosphere-permafrost, earth-science-soils-land-surface-permafrost, earth-science-terrestrial-hydrosphere-indicators-climate-indicators-permafrost-melt
Organization: National Aeronautics and Space Administration
GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) (GDS V2) produced by OSI SAF

A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-subskin-sea-surface-temperature
Organization: National Aeronautics and Space Administration
GEWEX SRB Integrated Product (Rel-4_1) Longwave Daily Average by Local Land-only Fluxes

GEWEXSRB_Rel4_1-IP_Longwave_daily_landonly_local is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave Daily Average by Local Land-only data product. It contains land-only global fields of 26 longwave surface, Top of Atmosphere (TOA), and atmospheric profile radiative parameters derived with the Longwave algorithm of the NASA World Climate Research Programme/Global Energy and Water-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project. This version is an extension of Release 4-Integrated Product with land-only fluxes due to a missing key input from the main data set. The fluxes include all-sky, clear-sky, and pristine-sky TOA upward fluxes (outgoing longwave radiation, OLR), all-sky, clear-sky, and pristine-sky upward and downward fluxes at the tropopause, 200hPa, 500hPa, and surface. A status flag of filled cloud properties is also included. Inputs to the longwave algorithm are cloud information based on ISCCP HXS, meteorology from ISCCP nnHIRS, Landflux surface, and MERRA-2 conditionally. The temporal range is July 1983 through December 1987. These data are averaged by local solar time from 3-hourly values. Data collection for this product is complete.

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-absorption, earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-radiative-flux, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-radiation-atmosphere-scattering, earth-science-atmospheric-radiation-atmosphere-transmittance, earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-cloud-radiative-transfer, earth-science-clouds-atmosphere-cloud-radiative-transfer-cloud-radiative-forcing
Organization: National Aeronautics and Space Administration
GLERL Great Lakes Ice Concentration Data Base, 1960-1979, Version 1

This data set consists of ice concentration grids from 1960 to 1979 for the Great Lakes. Over 2800 charts were digitized to produce this data base. The data were given to NSIDC by the NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI.

Tags: earth-science-snow-ice-cryosphere-ice-extent, earth-science-snow-ice-cryosphere-lake-ice
Organization: National Aeronautics and Space Administration
GFZ TELLUS GRACE Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.0 version 04

The monthly land mass grids contain water mass anomalies given as equivalent water thickness derived from GRACE & GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. The Equivalent water thickness represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Data grids are provided in ASCII/netCDF/GeoTIFF formats. For the RL06 version, all GRACE products in the ASCII format have adopted the YAML encoding header, which is in full compliance with the PODAAC metadata best practices.

Tags: earth-science-water-budget-terrestrial-hydrosphere-terrestrial-water-storage
Organization: National Aeronautics and Space Administration
GHRSST Level 2P 1 m Depth Global Sea Surface Temperature from VIIRS on Suomi NPP (GDS2) V1

A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) satellite launched on 28 October 2011. The VIIRS instrument is a a 22-band, multi-spectral scanning radiometer with a 3040-km swath width that builds on the heritage of the MODIS , AVHRR and SeaWIFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 740 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath. However, the processing of this dataset aggregates two pixels into one so the resolution is 1500 meters at nadir. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-skin-temperature
Organization: National Aeronautics and Space Administration
GFZ TELLUS GRACE-FO Level-3 Monthly Ocean Bottom Pressure Anomaly Release 6.3 version 04

This data set is produced by the German Research Centre for Geosciences (GFZ) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the ocean bottom pressure (OBP) anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents sea floor pressure changes due to the integral effect of ocean and atmosphere processes, including global mean ocean bottom pressure changes (mean ocean mass and mean atmosphere mass over the global oceans). A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br> GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the ocean bottom pressure data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this release 06.3 is an updated version of the Level 3 products in coordination with the release of the analogous Level 2 products used to generate them. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.

Tags: earth-science-ocean-pressure-oceans-water-pressure-ocean-bottom-pressure
Organization: National Aeronautics and Space Administration
GFZ TELLUS GRACE-FO Level-3 Monthly Land Water-Equivalent-Thickness Surface Mass Anomaly Release 6.3 version 04

This data set is produced by the German Research Centre for Geosciences (GFZ) as part of the GRACE-FO (Gravity Recovery and Climate Experiment Follow-On) program and derives the terrestrial water storage anomaly given as equivalent water thickness. These monthly grids are derived from GRACE-FO time-variable gravity observations during the specified timespan, and relative to the specified time-mean reference period. This quantity represents the total terrestrial water storage anomalies from soil moisture, snow, surface water (incl. rivers, lakes, reservoirs etc.), as well as groundwater and aquifers. A glacial isostatic adjustment (GIA) correction has been applied, and standard corrections for geocenter (degree-1), C20 (degree-20) and C30 (degree-30) are incorporated. Post-processing filters have been applied to reduce correlated errors. Data grids are provided in ASCII/netCDF/GeoTIFF formats. <br><br> GRACE-FO was launched on 22 May 2018, and extends the original GRACE mission (2002 – 2017) and expands its legacy of scientific achievements in tracking earth surface mass changes. Version 04 (v04) of the terrestrial water storage data uses updated and consistent C20 and Geocenter corrections (i.e., Technical Notes TN-14 and TN-13), as well as an ellipsoidal correction to account for the non-spherical shape of the Earth when mapping gravity anomalies to surface mass change. Additionally, this release 06.3 is an updated version of the Level 3 products in coordination with the release of the analogous Level 2 products used to generate them. It differs from RL06.1 only in the Level-1B accelerometer transplant data that is used for the GF2 (GRACE-FO 2) satellite; see respective L-2 data descriptions. RL06.3 uses the ACX2-L1B data products. All GRACE-FO RL06.3 Level-3 fields are fully compatible with the GRACE RL06 data.

Tags: earth-science-water-budget-terrestrial-hydrosphere-terrestrial-water-storage
Organization: National Aeronautics and Space Administration
GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) (GDS V2) produced by OSI SAF

A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-subskin-sea-surface-temperature
Organization: National Aeronautics and Space Administration
GHRSST L3C hourly America Region sub-skin Sea Surface Temperature v1.0 from ABI on GOES16 produced by OSISAF

The data is regional and part of the Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset covering the America Region based on retrievals from the Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-16 (GOES-16). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES-16 in the Eastern position. GOES-16 Imager level 1 data are acquired at Météo-France/Centre de Météorologie Spatiale (CMS) through the EUMETSAT/EUMETCast system. The GOES-16 ABI enables daytime SST calculations (whereas, previously, GOES East SST was restricted to nighttime conditions). The L3C SST is derived from a three-band (centered at 8.4, 10.3, and 12.3 um) algorithm. The ABI split-window configuration features three bands instead of the two found in heritage sensors (GOES-13). The 8.5-um is used in conjunction with the 10.3-um and 12.3-um bands for improved thin cirrus detection as well as for better atmospheric moisture correction in relatively dry atmospheres. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Each 10-minute observation interval is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating the available10-minute SST data into hourly files-hour time, with priority being given to the value closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-subskin-temperature
Organization: National Aeronautics and Space Administration
GHRSST L3C NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset

The H09-AHI-L3C-ACSPO-v2.90 dataset contains the Subskin Sea Surface Temperature (SST) produced by the NOAA ACSPO system from the Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) onboard the Himawari-9 (H09) satellite. The H09 is a Japanese weather satellite, the 9th of the Himawari geostationary weather satellite operated by the Japan Meteorological Agency. It was launched on November 2, 2016 into its nominal position at 140.7-deg E, and declared operational on December 13, 2022, replacing the Himawari-8. The AHI is the primary instrument on the Himawari Series for imaging Earth’s weather, oceans, and environment with high temporal and spatial resolutions. <br><br> The H09-AHI-L3C-ACSPO-v2.90 dataset is a gridded version of the ACSPO H09-AHI-L2P-ACSPO-v2.90 dataset (https://podaac.jpl.nasa.gov/dataset/AHI_H09-STAR-L2P-v2.90). The L3C (Level 3 Collated) data is mapped on 0.02-deg lat-lon grid and outputs 24 hourly granules per day, with a daily volume of 0.7 GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. <br><br> The ACSPO H09/AHI L3C product is validated against iQuam in situ data (Xu and Ignatov, 2014) and continuously monitored in the NOAA SQUAM system (Dash et al, 2010). The NRT files are replaced with Delayed Mode (DM) files, with a latency of approximately 2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA for DM instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-subskin-temperature
Organization: National Aeronautics and Space Administration