AndreaBozzo/ceres-open-data-index huggingface dataset:
RapidScat Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 1.3

This dataset contains the RapidScat Level 2B 12.5km Version 1.3 science-quality ocean surface wind vectors, which are intended as a replacement and continuation of the Version 1.1 and 1.2 data forward from orbital revolution number 7873, corresponding to 11 February 2016; on 11 Feb 2016, RapidScat entered it's 3rd low signal to noise ratio (SNR) state and the initial calibration of low SNR 3 was preliminary during the Version 1.2 release. The fundamental difference between Version 1.3 and the previous Version 1.2 datasets is that the L1B sigma-0 has been re-calibrated during the periods of low SNR states 3 and 4 using re-pointed QuikSCAT data. The Version 1.1 should still be considered valid up to the first rev of version 1.2 (5127), and similarly version 1.2 shall be considered valid up to the first rev of version 1.3 (7873). The Level 2B wind vectors are binned on a 12.5 km Wind Vector Cell (WVC) grid and processed using the Level 2A Sigma-0 dataset. RapidScat is a Ku-band dual beam circular rotating scatterometer retaining much of the same hardware and functionality of QuikSCAT, with exception of the antenna sub-system and digital interface to the International Space Station (ISS) Columbus module, which is where RapidScat is mounted. The NASA mission is officially referred to as ISS-RapidScat. Unlike QuikSCAT, ISS-RapidScat is not in sun-synchronous orbit, and flies at roughly half the altitude with a low inclination angle that restricts data coverage to the tropics and mid-latitude regions; the extent of latitudinal coverage stretches from approximately 61 degrees North to 61 degrees South. Furthermore, there is no consistent local time of day retrieval. This dataset is provided in a netCDF-3 file format that follows the netCDF-4 classic model (i.e., generated by the netCDF-4 API) and made available via FTP and OPeNDAP. For data access, please click on the "Data Access" tab above. It is advised for users to avoid using the "wind_obj" variable in this dataset since it is minimally applicable and meant primarily for quality assurance; for users who wish to access the objective function values for each ambiguity, it is suggested to use only the "ambiguity_obj" variable. The "wind_obj" variable contains DIRTH probabilities (which are derived form the "ambiguity_obj" objective function values) in the range of 0 to 1 indicating the conditional probability that the true direction is within + or - 2.5 degrees of the retrieved wind direction given the observed backscatter measurements in the cell. If you have any questions or concerns, please visit our Forum at https://podaac.jpl.nasa.gov/forum/.

Tags: earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
RapidScat Level 2B Climate Ocean Wind Vectors in 12.5km Footprints Version 2.0

This dataset contains the RapidScat Level 2B 12.5km Version 2.0 Climate quality ocean surface wind vectors. The Level 2B wind vectors are binned on a 12.5 km Wind Vector Cell (WVC) grid and processed using the using the "full aperture" normalized radar cross-section (NRCS, a.k.a. Sigma-0) from the L1B dataset. RapidScat is a Ku-band dual beam circular rotating scatterometer retaining much of the same hardware and functionality of QuikSCAT, with exception of the antenna sub-system and digital interface to the International Space Station (ISS) Columbus module, which is where RapidScat is mounted. The NASA mission is officially referred to as ISS-RapidScat. Unlike QuikSCAT, ISS-RapidScat is not in sun-synchronous orbit, and flies at roughly half the altitude with a low inclination angle that restricts data coverage to the tropics and mid-latitude regions; the extent of latitudinal coverage stretches from approximately 61 degrees North to 61 degrees South. Furthermore, there is no consistent local time of day retrieval. The new version has two important improvements over the previous version 1.0. First, an SST-dependent GMF developed by Lucrezia Ricciardulli of Remote Sensing Systems is used in wind retrieval in order to fix persistent speed biases in Ku-band data over cold ocean. Second, flagging is simplified and extra flags are provided. All the previously existing flags are still there and still reflect the same meaning and purpose. A new single bit wind_retrieval_likely_corrupted_flag specifies the approximately 3% of the data which is known to have suboptimal performance due to rain, ice, or a few other rare anomalous cases. Another bit wind_retrieval_possibly_corrupted_flag specifies the approximately 15% of the data near rain, near ice, or near the coast, that is thought to be high quality but may not match up well with numerical wind models due to either remaining rain/ice/land contamination or variability in the winds near ice, rain, and coasts that are not reflected in the NWPs. In addition to these two new bits, copious quality information is provided in the data to allow users to tailor flags to meet their own needs. There is also an added a global attribute called rev_status that specifies whether the RapidScat Instrument was in the original (highest data quality) high SNR mode, or one of the four low SNR time periods, the latter of which indicates the accuracy of winds below 5 m/s is degraded. This attribute also serves to identify MARGINAL orbits in which there are large gaps in the data record due to suboptimal spacecraft attitude. Other than gaps in the data, the accuracy of the winds in the MARGINAL orbits are similar to other orbits. This dataset is provided in netCDF-4 format and made available via FTP and OPeNDAP. For data access, please click on the "Data Access" tab above.

Tags: earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 7

The Randolph Glacier Inventory (RGI) is a global set of glacier outlines intended as a snapshot of the world’s glaciers outside of ice sheets. It provides a single outline for each glacier from approximately the year 2000, as well as a set of attributes and other relevant auxiliary information. Glacier outlines are distributed as Shapefiles. Hypsometric data and attributes (CSV files) and metadata (json) are also available. All RGI data are packaged both globally and by region (as defined by the Global Terrestrial Network for Glaciers (GTN-G) Glacier Regions). The RGI is not suitable for measuring glacier-by-glacier rates of area change. However, it can be used to estimate glacier volumes; rates of elevation change at regional and global scales; and glacier responses to climatic forcing. RGI version 7.0 was developed by the “Working Group on the Randolph Glacier Inventory (RGI) and its role in future glacier monitoring” of the International Association of Cryospheric Sciences (IACS). The glaciological community contributes glacier mapping data to the Global Land Ice Measurements from Space (GLIMS) database. A subset of the glacier outlines in GLIMS are then extracted and reprocessed to produce the RGI. See the RGI documentation under "User Guide" (below) for more information.

Tags: earth-science-cryospheric-indicators-climate-indicators-glacial-measurements-glacier-elevation, earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 1

The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing. Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually. Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.

Tags: earth-science-cryospheric-indicators-climate-indicators-glacial-measurements-glacier-elevation, earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
Rapid X-band Polarimetric Radar (RaXPol) IMPACTS

The Rapid X-band Polarimetric Radar (RaXPol) IMPACTS dataset consists of data measured from the RaXPol instrument during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The RaXPol dataset consists of various reflectivity variables. RaXPol data are available from January 29, 2022, through January 25, 2023, in netCDF-4 format.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity-mean-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 3

The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing. Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually. Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.

Tags: earth-science-cryospheric-indicators-climate-indicators-glacial-measurements-glacier-elevation, earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
Randolph Glacier Inventory - A Dataset of Global Glacier Outlines, Version 2

The Randolph Glacier Inventory (RGI) is a global set of glacier outlines; it is intended as a snapshot of the world’s glaciers. This data set provides a single outline for each glacier and is produced in coordination with the Global Land Ice Measurements from Space (GLIMS) initiative. The RGI is not suitable for measuring glacier-by-glacier rates of area change, but can be used to estimate glacier volumes, rates of elevation change at regional and global scales, and cryospheric responses to climatic forcing. Glacier mapping data are contributed to both GLIMS and the RGI from the glaciological community. RGI is produced by the Working Group on the Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, a body of the International Association of Cryospheric Sciences (IACS). This data set is updated approximately annually. Glacier outlines are distributed as Shapefiles. Hypsometric data (CSV files) and gridded auxiliary data (GeoTIFFs) are also available. All RGI data are packaged globally and by region, with regions based upon the Global Terrestrial Network for Glaciers.

Tags: earth-science-cryospheric-indicators-climate-indicators-glacial-measurements-glacier-elevation, earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
RapidScat Level 2B Ocean Wind Vectors in 12.5km Slice Composites Version 1.1

This dataset contains the RapidScat Level 2B 12.5km Version 1.1 science-quality ocean surface wind vectors. The Level 2B wind vectors are binned on a 12.5 km Wind Vector Cell (WVC) grid and processed using the Level 2A Sigma-0 dataset. RapidScat is a Ku-band dual beam circular rotating scatterometer retaining much of the same hardware and functionality of QuikSCAT, with exception of the antenna sub-system and digital interface to the International Space Station (ISS) Columbus module, which is where RapidScat is mounted. The NASA mission is officially referred to as ISS-RapidScat. Unlike QuikSCAT, ISS-RapidScat is not in sun-synchronous orbit, and flies at roughly half the altitude with a low inclination angle that restricts data coverage to the tropics and mid-latitude regions; the extent of latitudinal coverage stretches from approximately 61 degrees North to 61 degrees South. Furthermore, there is no consistent local time of day retrieval. This dataset is provided in a netCDF-3 file format that follows the netCDF-4 classic model (i.e., generated by the netCDF-4 API) and made available via FTP and OPeNDAP. For data access, please click on the "Data Access" tab above. This Version 1.1 dataset differs from the previous Version 1 dataset as follows: 1) A new neural network approach for high wind speeds provided rain corrections for the "retrieve_wind_speed" variable for wind speeds in excess of 15 m/s. 2) The data variables containing the number of measurements of each type for each wind vector cell have been corrected; these variables include "number_in_aft", "number_in_fore", "number_out_aft", and "number_out_fore". 3) The "wind_obj" data variable has been corrected to include the proper data for the conditional probability for the objective DIRTH function values. It is advised for users to avoid using the "wind_obj" variable in this dataset since it is minimally applicable and meant primarily for quality assurance; for users who wish to access the objective function values for each ambiguity, it is suggested to use only the "ambiguity_obj" variable. The "wind_obj" variable contains DIRTH probabilities (which are derived form the "ambiguity_obj" objective function values) in the range of 0 to 1 indicating the conditional probability that the true direction is within + or - 2.5 degrees of the retrieved wind direction given the observed backscatter measurements in the cell. If you have any questions, please contact podaac@podaac.jpl.nasa.gov

Tags: earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
Radiosondes CPEX-CV

The Radiosonde CPEX-CV dataset was collected during the Convective Processes Experiment – Cabo Verde (CPEX-CV) field campaign. The NASA CPEX-CV field campaign was based out of Sal Island, Cabo Verde from August through September 2022. The campaign is a continuation of CPEX – Aerosols and Winds (CPEX-AW) and was conducted aboard the NASA DC-8 aircraft equipped with remote sensors and dropsonde-launch capability that will allow for the measurement of tropospheric aerosols, winds, temperature, water vapor, and precipitation. The overarching CPEX-CV goal was to investigate atmospheric dynamics, marine boundary layer properties, convection, the dust-laden Saharan Air Layer, and their interactions across various spatial scales to improve understanding and predictability of process-level lifecycles in the data-sparse tropical East Atlantic region. These radiosonde data files include wind direction, dew point temperature, geopotential height, mixing ratio, atmospheric pressure, relative humidity, wind speed, temperature, potential temperature, equivalent potential temperature, and virtual potential temperature measurements at various levels of the troposphere. These data files are available from September 1, 2022, through September 29, 2022 in netCDF-4 format.

Tags: earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-dew-point-temperature, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-winds-atmosphere-upper-level-winds, earth-science-atmospheric-winds-atmosphere-upper-level-winds-flight-level-winds, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-speed
Organization: National Aeronautics and Space Administration
Radiosonde Data: NOAA (FIFE)

The NOAA Radiosonde Observations Data Set contains data that were extracted from the NOAA operational analysis system and transmitted to the FIS. Data are available from July 1985 to October 1988, there are 1123 days of data during this period with data at twelve hour intervals. These data were collected using sondes released in Dodge City and Topeka, Kansas, 337 km and 68 km, respectively, from the FIFE site. Radiosonde observations were made to determine the pressure, temperature, and humidity from the surface to the point where the sounding was terminated.

Tags: earth-science-altitude-atmosphere-geopotential-height, earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature
Organization: National Aeronautics and Space Administration
Radiant Temp. Helicopter Data (FIFE)

The Surface Radiant Temperature Measured with a Helicopter-borne Infrared Thermometer Data Set were collected for six days during July and August of 1989 to provide the radiant temperature of the FIFE sites and as a check of the thermal band on the MMR. The average and standard deviation of radiant temperature were measured with an Everest infrared thermometer. The Everest Series 4000 Infrared Thermometer (IRT) was mounted on the NASA Bell UH-1B helicopter in conjunction with the Barnes Multiband Modular Radiometer (MMR) and the Spectron Engineering SE590 Spectroradiometer for the 1989 field campaign. The IRT collected radiant temperature data as the helicopter hovered over individual sites within the FIFE study area.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
Radiant Temp. Multiangle Data (FIFE)

The Surface Temperatures Measured at Multiple Angles Data Set was collected at two locations within the northwest quadrant of the FIFE study area during July and August 1989. The data set contains hemispherical surface temperature, surface temperatures measured at several view zenith angles, and surface temperatures and at-view azimuth increments of 45 degrees. These data were collected using the Everest multiplexed infrared thermometers (IRT) Model 4000 and an Eppley Precision Infrared Radiometer Model PIR. Periodically measurements of the surface emissivity and incoming longwave radiation were also made. The purpose of this study was to characterize bi-directional reflectance factor distributions, estimate surface albedo from bi-directional reflectance factor and radiance data, determine the variability of reflected and emitted fluxes in selected spectral wavebands as a function of topography, vegetative community and management practice, determine the influence of plant water status on surface reflectance factors, and determine sun angle affects on radiation fluxes.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
Radiant Temperature Ground Data (FIFE)

The Surface Temperatures from UNL Data Set contains surface temperatures collected between July 15 and August 11, 1989 at three FIFE area sites. These surface temperatures were measured with an Everest multiplexed infrared thermometer (IRT) Model 4000 predominantly in the solar principal plane, with nadir and off-nadir, view-zenith angles (mounted on the portable mast with the Barnes Model 12-1000 Modular Multiband Radiometer (MMR)). The purpose of this study was to determine the variability of emitted fluxes as a function of topography, vegetative community and management practice. Spatial and temporal sampling at sites 906 (2133-EVN), 916 (4439-EVN), and 966 (2437-EVN) was achieved. Measurements were typically coordinated with aircraft and/or satellite overpasses.

Tags: earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
Rock glaciers, Prealps, Vaud, Switzerland, Version 1

The investigated area forms part of the western lobe of the Prealps (Swiss Prealps). The 25 identified fossil rock glaciers are found mainly in the Prealpes medianes rigides Nappe and the Niesen Nappe, at altitudes of 1500 to 2100 m. They represent at least three generations of fossil periglacial forms of late-glacial age (older than Balling), at about 1200, 950, and 700 m below today's permafrost boundary, respectively. These fossil features are related to glacial stages and form part of a detailed late-glacial morphostratigraphy. Information stored in a file includes: orientation, elevation of the source and the front, area, type of form, type of material, lithology, generation. These data are presented on the CAPS Version 1.0 CD- ROM, June 1998.

Tags: earth-science-frozen-ground-cryosphere-periglacial-processes-paleo-permafrost, earth-science-frozen-ground-cryosphere-rock-glaciers-rock-glaciers, earth-science-frozen-ground-land-surface-periglacial-processes-paleo-permafrost, earth-science-frozen-ground-land-surface-rock-glaciers-rock-glaciers, earth-science-land-records-paleoclimate-glaciation-glaciation
Organization: National Aeronautics and Space Administration