AndreaBozzo/ceres-open-data-index huggingface dataset:
GPM DPR Ku Environment L2A 1.5 hours 5 km V07 (GPM_2AKuENV) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . This is environmental data that includes the profiles of atmospheric parameters assumed in the L2 retrieval algorithm. The 2AKu algorithm provides precipitation estimates from the Ku radar of the Dual-Frequency Precipitation Radar on the core GPM spacecraft. The product contains one swath of data corresponding to the scans of the Ku radar. This is a single-frequency retrieval of precipitation; no information from the Ka radar is used. The retrievals are performed at each radar range bin along the slant path of the radar IFOV. This is a single-frequency retrieval that relies on Ku-band data only. While the 2ADPR dual-frequency retrieval should give better overall estimates, that algorithm requires co-aligned Ka-band data. This 2AKu product will be produced independently and would not be impacted by any operational issues with the Ka-band radar.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Precipitation Profile 1 Day 0.25 degree x 0.25 degree V07 (GPM_3DPRD) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . The precipitation estimates in the 3DPRD product are a subset of those in the full daily 3DPR product; the retrieval estimates are the same. Since this is a subset, the product is smaller, and Level 3 DPR products present the user with summary information over daily and monthly time periods. These gridded products are in a convenient gridded form and can be used easily in comparisons with other satellite and ground data. The Level 3 DPR joint algorithm subsets precipitation estimates from the Level 3 daily products. In addition, it adds time information from Level 2 instantaneous data to give a date/time for the last measurement in each grid box. The product contains one 0.25 x 25 km grid with separate indices for the ascending and descending parts of the GPM orbit.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere, earth-science-radar-spectral-engineering
Organization: National Aeronautics and Space Administration
GHRSST Level 4 OSTIA Global Historical Reprocessed Foundation Sea Surface Temperature Analysis produced by the UK Meteorological Office

The Operational Sea Surface Temperature and Sea Ice Analysis Reprocessed (OSTIA-REP) is a GHRSST reprocessed Level-4 sea surface temperature and ice-concentration analysis produced by the UK Met Office (UKMO) using optimal interpolation (OI) on a global 0.05 degree grid. It is a sister product of the Near Real Time version (OSTIA-NRT), but incorporates satellite data from over 25 different SST sensors as well as in situ data from drifting and moored buoys. The OSTIA-REP is produced on a biannual frequency when more satellite and climatology observations are available from existing geostationary IR, and polar orbiting IR and MW satellites in addition to the data used in OSTIA-NRT. <br><br> While OSTIA-NRT is produced to mainly serve as a lower boundary condition in Numerical Weather Prediction (NWP) models, this OSTIA-REP aims to provide a more accurate and consistent record of SST measurements over time, which is crucial for detecting long-term climate trends and variability. Both versions follow GHRSST Data Processing Specification (GDS) version 2 format guidelines.<br><br> Data to June 2022 are also distributed through the E.U. Copernicus Marine Service Information (https://marine.copernicus.eu/, DOI: https://doi.org/10.48670/moi-00168 with the following license). Please refer to the user guide for more information.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-foundation-sea-surface-temperatu, earth-science-sea-ice-oceans-sea-ice-concentration-sea-ice-fraction
Organization: National Aeronautics and Space Administration
GPM ATMS on SUOMI-NPP (GPROF) Radiometer Precipitation Profiling L2 1.5 hours 16 km V07 (GPM_2AGPROFNPPATMS_CLIM) at GES DISC

Version 07 is the current version of the data set. Older versions are no longer available and have been superseded by Version 07. The "CLIM" products differ from their "regular" counterparts (without the "CLIM" in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the "CLIM" output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Ku-band Received Power L1B 1.5 hours 5 km V07 (GPM_PRL1KU) at GES DISC

Version 07 is the current version of the data set. Older versions are no longer available and have been superseded by Version 07. This product contains the calibrated received power from the Ku-band Radar of the Dual-frequency Precipitation Radar (DPR) aboard the core satellite of the Global Precipitation Measurement (GPM) mission. The Ku-radar scan pattern is simpler than that of the Ka-band Radar, and is similar to the TRMM PR. It only has "Normal Scan" (NS) swath consisting of 49 footprints cross-track in a scan and the footprint size is about 5 km in diameter. The scan swath is 245 km.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Ka Environment L2A 1.5 hours 5 km V07 (GPM_2AKaENV) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . This is environmental data that includes the profiles of atmospheric parameters assumed in the L2 retrieval algorithm. The 2AKa algorithm provides precipitation estimates from the Ka radar of the Dual-Frequency Precipitation Radar on the core GPM spacecraft. The product contains two swaths of data corresponding to the scans of the Ka radar. The first swath contains matched scans (MS), which are intended to be co-aligned with the Ku-band instantaneous fields of view (IFOV). The second swath contains the high-sensitivity scans (HS), which are interleaved between the Ku/Ka-MS swaths. Both swaths are narrow and centered within the interior of the Ku swath. This is a single-frequency retrieval of precipitation; no information from the Ku radar is used. The retrievals are performed at each radar range bin along the slant path of the radar IFOV for each swath. This is a single-frequency retrieval that relies on Ka-band data only. While the 2ADPR dual-frequency retrieval should give better overall estimates, that algorithm requires co-aligned Ku-band data. This 2AKa product will be produced independently and would not be impacted by any operational issues with the Ku-band radar. The high sensitivity to smaller hydrometeors should result in precipitation estimates in lighter precipitation than the Ku-only data.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Spectral Latent Heating Profiles L3 1 day 0.5 degree x 0.5 degree V07 (GPM_3HSLH_DAY) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The Gridded Spectral Latent Heating (3HSLH) products contain latent heating, Q1-QR and Q2 profiles from DPR raindata.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
Global 10-Year Mean Monthly Climatology, 1901-1990 (New et al.)

This is a data set of 10-year mean monthly surface climate data over global land areas, excluding Antarctica, for the period 1901-1990. The data set is gridded at 0.5 degree latitude/longitude resolution and includes seven variables: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. In constructing the monthly grids the authors used an anomaly approach which attempts to maximize station data in space and time (New et al., 2000). In this technique, grids of monthly historic anomalies are derived relative to a standard normal period. Station measurement data for the years 1961-1990, extracted from the monthly data holdings of the Climatic Research Unit and the Global Historic Climatology Network (GHCN), served as the normal period (New et al., 1999). The anomaly grids were then combined with high-resolution mean monthly climatology to arrive at fields of estimated historical monthly surface climate. Data users are encouraged to see the companion file New et al.(2000) for a complete description of this technique and potential applications and limitations of the data set. For additional information, refer to the IPCC Data Distribution Centre.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-maximum-minimum-temperatur, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-clouds-atmosphere-cloud-properties-cloud-frequency, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-snow-ice-terrestrial-hydrosphere-frost, earth-science-weather-events-atmosphere-freeze-frost
Organization: National Aeronautics and Space Administration
GHRSST Level 4 RAMSSA_9km Australian Regional Foundation Sea Surface Temperature Analysis v1.0 dataset (GDS2)

A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology (BoM) using optimal interpolation (OI) on a regional 1/12 degree grid over the Australian region (20N - 70S, 60E - 170W). This Regional Australian Multi-Sensor SST Analysis (RAMSSA) v1.0 system blends satellite SST observations from passive infrared and passive microwave radiometers, with in situ data from ships, Argo floats, XBTs, CTDs, drifting buoys and moorings from the Global Telecommunications System (GTS). SST observations that have experienced recent surface wind speeds less than 6 m/s during the day or less than 2 m/s during night are rejected from the analysis. The processing results in daily foundation SST estimates that are largely free of nocturnal cooling and diurnal warming effects. Sea ice concentrations are supplied by the NOAA/NCEP 12.7 km sea ice analysis. In the absence of observations, the analysis relaxes to the BoM Global Weekly 1 degree OI SST analysis, which relaxes to the Reynolds and Smith (1994) Monthly 1 degree SST climatology for 1961 - 1990.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-foundation-sea-surface-temperatu
Organization: National Aeronautics and Space Administration
GPM DPR Precipitation Profile 1 Day Descending 0.25 degree x 0.25 degree V07 (GPM_3DPR_DES) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . The Level 3 DPR algorithm accumulates instantaneous precipitation estimates from the Level 2 retrieval algorithms into grids over a day and month time span. There are two grid resolutions: 5.0 degrees and 25 kms. For each grid box, the core statistics are the number of measurements, mean, and standard deviation. Most variables are also conditioned on surface type and precipitation type with other three-dimensional fields adding the height above the ellipsoid. Unless otherwise specified, the means are conditioned on precipitation being present (rain rate &gt; 0). For the daily product, the mean square statistic is saved rather than the standard deviation. In addition to the daily and monthly products is a simplified joint daily product that contains a subset of the fields from the full daily product. The Level 3 DPR products present the user with summary information over daily and monthly time periods. These gridded products are in a convenient gridded form and can be used easily in comparisons with other satellite and ground data.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Precipitation Profile L2A 1.5 hours 5 km V07 (GPM_2ADPR) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . 2ADPR provides single- and dual-frequency-derived precipitation estimates from the Ku and Ka radars of the Dual-Frequency Precipitation Radar (DPR) on the core GPM spacecraft. The output consists of three main classes of precipitation products: those derived from the Ku-band frequency over a wide swath (245 km), those derived from the Ka-band frequency over a narrow swath (125 km), and those derived from the dual-frequency data over the narrow swath. The Ka-band results are further divided into the standard and high-sensitivity estimates. In the standard sensitivity mode, the fields of view within the inner swath are matched to those of the Ku-band. Data from these matched-beam Ku- and Ka-band fields of view are used to derive the dual-frequency precipitation products. The retrievals are performed at each radar range bin along the slant path of the radar instrument field of view (IFOV).

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere, earth-science-radar-spectral-engineering
Organization: National Aeronautics and Space Administration
GPM DPR Precipitation Profile 1 month 0.25 degree x 0.25 degree V07 (GPM_3DPR) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . The Level 3 DPR products present the user with summary information over daily and monthly time periods. These gridded products are in a convenient gridded form and can be used easily in comparisons with other satellite and ground data. The Level 3 DPR algorithm accumulates instantaneous precipitation estimates from the Level 2 retrieval algorithms into grids over a day and month time span. There are two grid resolutions: 5.0 degrees and 25 kms. For each grid box, the core statistics are the number of measurements, mean, and standard deviation. Most variables are also conditioned on surface type and precipitation type with other three-dimensional fields adding the height above the ellipsoid. Unless otherwise specified, the means are conditioned on precipitation being present (rain rate > 0). For the daily product, the mean square statistic is saved rather than the standard deviation. In addition to the daily and monthly products is a simplified joint daily product that contains a subset of the fields from the full daily product.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere, earth-science-radar-spectral-engineering
Organization: National Aeronautics and Space Administration
GPM GMI (GPROF) Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07 (GPM_3GPROFGPMGMI_DAY) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. 3GPROF products provide global gridded monthly/daily precipitation averages from multiple satellites that can be used for climate studies. The 3GPROF products are based on retrievals from high-quality microwave sensors, which are sensitive to liquid and ice-phase precipitation hydrometeors in the atmosphere.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GPM DPR Precipitation Profile 1 Day Ascending 0.25 degree x 0.25 degree V07 (GPM_3DPR_ASC) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. . The Level 3 DPR products present the user with summary information over daily and monthly time periods. These gridded products are in a convenient gridded form and can be used easily in comparisons with other satellite and ground data. The Level 3 DPR algorithm accumulates instantaneous precipitation estimates from the Level 2 retrieval algorithms into grids over a day and month time span. There are two grid resolutions: 5.0 degrees and 25 kms. For each grid box, the core statistics are the number of measurements, mean, and standard deviation. Most variables are also conditioned on surface type and precipitation type with other three-dimensional fields adding the height above the ellipsoid. Unless otherwise specified, the means are conditioned on precipitation being present (rain rate > 0). For the daily product, the mean square statistic is saved rather than the standard deviation. In addition to the daily and monthly products is a simplified joint daily product that contains a subset of the fields from the full daily product.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere, earth-science-radar-spectral-engineering
Organization: National Aeronautics and Space Administration
GPM AMSU-B on NOAA16 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km V07 (GPM_2AGPROFNOAA16AMSUB) at GES DISC

Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07. The 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals. The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F11, F13, F14, F15); SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1) This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided. The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration