AndreaBozzo/ceres-open-data-index huggingface dataset:
GEWEX SRB Integrated Product (Rel-4) Longwave Monthly Average by UTC

GEWEXSRB_Rel4-IP_Longwave_monthly_utc is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave Monthly Average by UTC data product. It contains 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 known as Release 4-Integrated Product. 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: 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, SeaFlux SST and surface, LandFlux meteorology, and MERRA-2 conditionally. The temporal range is January 1988 through December 2009, with the ends bound by input constraints. 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) Shortwave Monthly Average by Local Fluxes

GEWEXSRB_Rel4-IP_Shortwave_monthly_local is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Shortwave Monthly Average by local data product. It contains global fields of 11 shortwave surface and Top of Atmosphere (TOA), radiative parameters derived with the Shortwave algorithm of the NASA World Climate Research Programme/Global Energy and Water-Cycle Experiment (WCRP/GEWEX) Surface Radiation Budget (SRB) Project. This version is known as Release 4-Integrated Product. The fluxes include all-sky, clear-sky and pristine-sky TOA upward fluxes, incoming (downward) TOA flux, and all-sky, clear-sky and pristine-sky upward and downward fluxes at surface. Surface PAR, cloud fraction, average solar zenith angle and a status flag of filled fluxes are also included. Inputs to the shortwave algorithm are cloud and radiance information from International Satellite Cloud Climatology Project (ISCCP) HXS, total column precipitable water from ISCCP nnHIRS, Total Solar Irradiance from SORCE TIM, ozone from ISCCP, and MAC V1 aerosol amounts and radiative properties. The temporal range is July 1983 through June 2017. These data are averaged from local solar time daily averages. Data collection for this product is complete.

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-absorption, earth-science-atmospheric-radiation-atmosphere-albedo, earth-science-atmospheric-radiation-atmosphere-atmospheric-emitted-radiation, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation, earth-science-atmospheric-radiation-atmosphere-net-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-shortwave-radiation, earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-radiation-atmosphere-sunshine, 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, earth-science-vegetation-biosphere, earth-science-vegetation-biosphere-photosynthetically-active-radiation
Organization: National Aeronautics and Space Administration
GEWEX SRB Integrated Product (Rel-4) Longwave Daily Average by UTC Ocean-only Fluxes

GEWEXSRB_Rel4-IP_Longwave_daily_oceanonly_utc is the GEWEXSRB_Rel4-IP_Longwave_daily_oceanonly_utc is the Global Energy and Water Exchanges (GEWEX) Surface Radiation Budget (SRB) Integrated Product (Rel-4) Longwave Daily Average by UTC Ocean-only Fluxes 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: 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, SeaFlux SST and surface, and MERRA-2 conditionally. The temporal range is January 2010 through June 2017. These data are averaged by UTC 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
GPM ATMS on SUOMI-NPP Common Calibrated Brightness Temperature L1C 1.5 hours 16 km V07 (GPM_1CNPPATMS) 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. All 1C products have a common L1C data structure, simple and generic. Each L1C swath includes scan time, latitude and longitude, scan status, quality, incidence angle, Sun glint angle, and the intercalibrated brightness temperature (Tc). One or more swaths are included in a product. The radiometer data are recalibrated to a common basis so that precipitation products derived from them are consistent. 1CATMS contains common calibrated brightness temperature from the ATMS passive microwave instrument flown on the Suomi NPP satellite and JPSS satellites. ATMS is approximately a combination of the AMSU-A channels and the MHS channels. ATMS rotates 3 scans per 8 seconds. ATMS has the following 22 channels: Ch GHz Pol 1 23.8 QV 2 31.4 QV 3 50.3 QH 4 51.76 QH 5 52.8 QH 6 53.596+-0.115 QH 7 54.4 QH 8 54.94 QH 9 55.5 QH 10 fo = 57.29 QH 11 fo+-0.3222+-0.217 QH 12 fo+-0.3222+-0.048 QH 13 fo+-0.3222+-0.022 QH 14 fo+-0.3222+-0.010 QH 15 fo+-0.3222+-0.0045 QH 16 88.2 QV 17 165.5 QH 18 183.31+-7 QH 19 183.31+-4.5 QH 20 183.31+-3 QH 21 183.31+-1.8 QH 22 183.31+-1 QH QV means quasi-vertical; the polarization vector is parallel to the scan plane at nadir. QH meansquasi-horizontal polarization. Note on geolocation and 1C swaths: The BeamLatitude and BeamLongitude in ATMSBASE have a band dimension of 5. Lat and lon is for channels 1,2,3,16,17. Each 1C swath will contain one band: 1C swath Band IEEE GHz Ch geo Chs in band 1 K 18-26.5 1 1 2 A(Ka) 26.5-40 2 2 3 W 75-110 16 16 4 G 110-300 17 17-22 Note that channels 3-15 are NOT included in the 1C product. 1C ATMS contains 4 swaths, one for each band K, A(Ka), W, and G.

Tags: earth-science-atmospheric-water-vapor-atmosphere, earth-science-precipitation-atmosphere
Organization: National Aeronautics and Space Administration
GHRSST NOAA/STAR ACSPO v2.81 0.02 degree L3S Daily Dataset from LEO Satellites

The L3S_LEO_DY-STAR-v2.81 dataset produced by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system derives the Subskin Sea Surface Temperature (SST) from multiple instruments, including the VIIRS onboard the Suomi-NPP, NOAA-20 and NOAA-21 satellites, AVHRR onboard Metop-A, B , C satellites and MODIS onboard the Terra and Aqua satellites. The L3S-LEO is a family of multi-sensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites. The L3S-LEO PM ( https://doi.org/10.5067/GHLPM-3S281 ) and AM ( https://doi.org/10.5067/GHLAM-3SS28 ) data include SSTs from afternoon (~1:30 am/pm) and mid-morning (~9:30 am/pm) satellites, respectively. The PM and AM SSTs, for both day (D) and night (N), and Terra MODIS SSTs, are further aggregated into a daily L3S-LEO-DY SST product. <br><br> The L3S-DY-SST combines the both L3S-LEO-PM/AM SSTs into a single daily product. It covers from 2000-02-24 to present and is reported in one file per 24h interval. Data are in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The v2.81 succeeds the v2.80 dataset (not available from the PO.DAAC) with the following improvements: (1) The L3S-LEO-PM input was updated from v2.80 to v2.81; and (2) ACSPO Terra MODIS SST is included from 2000-02-24 to 2021-12-31. The inclusion of Terra extends the availability of L3S-LEO-DY back to 2000-02-24 (from 2006-12-01 in v2.80). The SST diurnal warming effects from different daily observation times across the series of instruments have been corrected and are described in the publications by Jonasson et al., 2022 <br><br> The Near Real Time (NRT) data are available with 6h latency, and replaced by the Re-ANalysis (RAN) files in 2 months, with identical file names. They can be differentiated by the file creation time and ancillary inputs. The data are validated against quality controlled in situ data from the NOAA in situ SST Quality Monitor (iQuam; https://www.star.nesdis.noaa.gov/socd/sst/iquam), and monitored in another NOAA system, SST Quality Monitor (SQUAM; https://www.star.nesdis.noaa.gov/socd/sst/squam)

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-subskin-temperature
Organization: National Aeronautics and Space Administration
GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset in GDS2

GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script (see Documentation page). The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L3C-v2.71.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-skin-temperature
Organization: National Aeronautics and Space Administration
GHRSST NOAA/STAR Metop-A AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS v2)

The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. MetOp-A launched on 19 October 2006 is the first in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1 ), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1 ). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346 ).The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is available at https://doi.org/10.5067/GHMTA-3US28

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-skin-temperature
Organization: National Aeronautics and Space Administration
GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 0.02 L3U Dataset (GDS v2)

This L3U (Level 3 Uncollated) dataset contains global daily Sea Surface Temperature (SST) on a 0.02 degree grid resolution. It is produced by the National Oceanic and Atmospheric Administration (NOAA) Advanced Clear Sky Processor for Ocean (ACSPO) using L2P (Level 2 Preprocessed) product acquired from the Meteorological Operational satellite C (Metop-C) Advanced Very High Resolution Radiometer 3 (AVHRR/3) (https://podaac.jpl.nasa.gov/dataset/AVHRRF_MC-STAR-L2P-v2.80 ) in Full Resolution Area Coverage (FRAC) mode as input. It is distributed as 10-minute granules in netCDF-4 format, compliant with the Group for High Resolution Sea Surface Temperature (GHRSST) Data Specification version 2 (GDS2). There are 144 granules per 24-hour interval. Fill values are reported in all invalid pixels, including land pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river), and up to 5 km inland, the following major layers are reported: SSTs and ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags). Only input L2P SSTs with QL=5 were gridded, so all valid SSTs are recommended for the users. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with valid SST. Ancillary layers include wind speed and ACSPO minus reference Canadian Meteorological Centre (CMC) Level 4 (L4) SST. The ACSPO Metop-C AVHRR FRAC L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in the NOAA SST Quality Monitor (SQUAM) system (Dash et al, 2010). SST imagery and clear-sky mask are evaluated, and checked for consistency with L2P and other satellites/sensors SST products, in the NOAA ACSPO Regional Monitor for SST (ARMS) system. More information about the dataset is found at AVHRRF_MC-STAR-L2P-v2.80 and in (Pryamitsyn et al., 2021).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-skin-temperature
Organization: National Aeronautics and Space Administration
GHRSST NOAA/STAR Metop-C AVHRR FRAC ACSPO v2.80 1km L2P Dataset (GDS v2)

The MetOp First Generation (FG) is a European multi-satellite program jointly established by ESA and EUMETSAT, comprising three satellites, MetOp-A, -B and -C. The primary sensor onboard MetOp-FG, the Advanced Very High Resolution Radiometer/3 (AVHRR/3) contributed by NOAA, measures Earth emissions and reflectances in 5 out of 6 available bands (centered at 0.63, 0.83, 1.61, 3.7, 11 and 12 microns), in a swath of 2,600km from an 817km altitude. These data are collected in a Full Resolution Area Coverage (FRAC) mode, with pixel size of 1.1km at nadir. Metop-C launched on 7 November 2018 is the third and last in the MetOp-FG series. The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) Level 2 Preprocessed (L2P) SST product is derived at the full AVHRR FRAC resolution and reported in 10 minute granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Subskin SSTs are derived using the regression Nonlinear SST (NLSST) algorithm, which employs three bands (3.7, 11 and 12 microns) at night and two bands (11 and 12 microns) during the day. The ACSPO AVHRR FRAC L2P product is monitored and validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014, https://doi.org/10.1175/JTECH-D-13-00121.1 ), in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010, https://doi.org/10.1175/2010JTECHO756.1 ). SST imagery and clear-sky masking are continuously evaluated, and checked for consistency with other sensors and platforms, in the ACSPO Regional Monitor for SST (ARMS) system. MetOp-A orbital characteristics and AVHRR/3 sensor performance are tracked in the NOAA 3S system (He et al., 2016, https://doi.org/10.3390/rs8040346 ).The L2P Near Real Time (NRT) SST files are archived at PO.DAAC with 3-6 hours latency, and then replaced by the Re-ANalysis (RAN) SST after about 2 months later with identical file names. Two features can be used to identify them: different file name time stamps and netCDF global attribute metadata source=NOAA-NCEP-GFS for NRT and source=MERRA-2 for RAN. A reduced size (0.45GB/day), equal-angle gridded (0.02-deg resolution) ACSPO L3U product is available at https://doi.org/10.5067/GHMTC-3US28

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature-sea-surface-skin-temperature
Organization: National Aeronautics and Space Administration
Glacier Photograph Collection, Version 1

Notice: Due to funding limitations, this data set was recently changed to a “Basic” Level of Service. Learn more about what this means for users and how you can share your story here: <a href="https://nsidc.org/data/user-resources/data-announcements/user-notice-level-service-update-data-products">Level of Service Update for Data Products</a>.<br><br> The Glacier Photograph Collection is a database of digital photographs of glaciers from around the world, some dating back to the mid-19th century, that provide an historical reference for glacier extent. As of August 2021, the database contains over 25,000 photographs. Further information can be found on the <a href="https://nsidc.org/data/glacier_photo/">Glacier Photo Collection Product Web Site</a>.

Tags: earth-science-glaciers-ice-sheets-cryosphere-glaciers
Organization: National Aeronautics and Space Administration
Glacier Covered Area for the State of Alaska, 1985-2020, Version 1

This data set captures changes in glacier covered area across the state of Alaska for the period 1985 to 2020.The data set includes 18 biannual shapefiles each for overall glacier covered area, supraglacial debris area, and debris-free glacier covered area.

Tags: earth-science-glaciers-ice-sheets-cryosphere-glaciers-glacier-extent
Organization: National Aeronautics and Space Administration
GEOS CF (Composition Forecast)

The NASA Global Earth Observing System (GEOS) model has been expanded to provide global nearreal- time forecasts of atmospheric composition at a horizontal resolution of 0.25 degrees (about 25 km). This GEOS Composition Forecast (GEOS-CF) system combines the GEOS weather analysis and forecasting system with the state-of-the-science GEOS-Chem chemistry module (Bey et al., 2001; Keller et al., 2014; Long et al., 2015) to provide detailed chemical analysis of a wide range of air pollutants including ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5).

Tags: earth-science-aerosols-atmosphere-dust-ash-smoke, earth-science-air-quality-atmosphere-carbon-monoxide, earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-cloud-screened-total-column-n, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-ozone, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfur-dioxide, earth-science-atmospheric-pressure-atmosphere-sea-level-pressure, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity-relative-humid, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity-specific-humid, earth-science-atmospheric-winds-atmosphere, earth-science-paleoclimate-indicators-climate-indicators-ice-core-records-particulate-matter
Organization: National Aeronautics and Space Administration