AndreaBozzo/ceres-open-data-index huggingface dataset:
SEAC4RS ER-2 Aircraft In-Situ Trace Gas Data

SEAC4RS_TraceGas_AircraftInSitu_ER2_Data are in-situ trace gas data collected onboard the ER-2 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-chlorinated-hyd, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens-chlorofluorocarbons, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens-hydrochlorofluorocarbon, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration
ABoVE: Directory of Field Sites Associated with 2017 ABoVE Airborne Campaign

This dataset provides a listing of the ~6,700 field sites used in planning the ABoVE Airborne Campaign (AAC) for 2017. The sites included point, polygon, and line locations that were used in determining the 2017 AAC flight paths. We intend this compilation to assist investigators in understanding the flight line choices and as a method for investigators to identify ground locations used in the airborne campaign. Data users may also search for the underlying data available at each of these locations. Site descriptors include name, coordinates, principal investigators with emails, data types, long-term archive locations, and links to project descriptions.

Tags: earth-science, nasa, remote-sensing
Organization: National Aeronautics and Space Administration
SEAC4RS ER-2 Aircraft Miscellaneous Data

SEAC4RS_Miscellaneous_ER2_Data are miscellaneous ancillary data collected onboard the ER-2 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete. Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-aerosols-atmosphere-aerosol-extinction, earth-science-aerosols-atmosphere-aerosol-forward-scatter, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness-angstrom-exponent, earth-science-aerosols-atmosphere-dust-ash-smoke, earth-science-aerosols-atmosphere-organic-particles, earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfate, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfur-dioxide, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfur-oxides
Organization: National Aeronautics and Space Administration
ABoVE: Distribution Maps of Wildland Fire Fuel Components across Alaskan Tundra, 2015

This dataset provides maps of the distribution of three major wildland fire fuel types at 30 m spatial resolution covering the Alaskan arctic tundra, circa 2015. The three fuel components include woody (evergreen and deciduous shrubs), herbaceous (sedges and grasses), and nonvascular species (mosses and lichens). Multi-seasonal and multispectral mosaics were first developed at 30 m resolution using Landsat 8 surface reflectance data collected from 2013 to 2017. The spectral information from Landsat mosaics was combined with field observations from representative tundra vegetation plots collected during multiple field trips to model the fractional cover of fuel type components. An improved vegetation mask for shrub and graminoid-dominated tundra was developed using random forest classification and is also included. The final fractional cover maps were developed using the trained model with the multi-seasonal and multi-spectral Landsat mosaics across the entire Alaskan tundra.

Tags: earth-science, nasa, remote-sensing
Organization: National Aeronautics and Space Administration
Sea Ice Trends and Climatologies from SMMR and SSM/I-SSMIS, Version 3

NSIDC provides this data set to aid investigations of variability and trends in sea ice cover. Ice cover in these data are indicated by sea ice concentration: the percentage of the ocean surface covered by ice. The ice-covered area indicates how much ice is present; it is the total surface area of a pixel multiplied by the ice concentration in that pixel. Ice persistence is the percentage of months over the data set time period that ice existed at a location. The ice extent indicates whether ice is present; here, ice is considered to exist in a pixel if the sea ice concentration exceeds 15 percent. This data set provides users with data about total ice-covered areas, sea ice extent, ice persistence, and monthly climatologies of sea ice concentrations.

Tags: earth-science-sea-ice-cryosphere-ice-extent, earth-science-sea-ice-cryosphere-sea-ice-concentration
Organization: National Aeronautics and Space Administration
ABoVE: Dall Sheep Response to Snow and Landscape Covariates,  Alaska, 2005-2008

This dataset provides daily estimates of snow depth and snow density for the study area in Lake Clark National Park and Preserve (LCNPP), Alaska. The data were generated using SnowModel and used as snow covariates along with landscape covariates in modeling efforts to study Dall sheep movements in response to dynamic snow conditions. Thirty adult Dall sheep (12 male, 18 female) were captured and outfitted with global positioning system (GPS) collars programmed to acquire locations every seven hours. Given the individual sheep locations, their distances to land cover (e.g., shrub, forest, glacier), landscape characteristics (e.g., elevation, terrain ruggedness index (TRI), vector ruggedness measure (VRM), slope, and aspect), snow depth and density, MODIS normalized difference snow index (NDSI), and other covariates were determined and are provided in the environmental data file. The snow density and depth data are provided at 25-m, 100-m, 500-m, 2000-m, and 10000-m grid resolutions, at 1-day increments, and cover the period September 1, 2005 through August 31, 2008. The sheep, snow, and landscape data cover the years 2006, 2007, and 2008.

Tags: earth-science, nasa, remote-sensing
Organization: National Aeronautics and Space Administration
SeaFlux Data Products V1

The SeaFlux Data Products dataset consists of estimates of ocean surface latent and sensible heat fluxes, 2m and 10m wind speed, 2m and 10m air temperature, 2m and 10m air humidity, and skin sea surface temperature. This data product was created by using the SeaFlux V3 model. These data are available globally from January 1, 1988 through December 31, 2018 in netCDF-4 format.

Tags: earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices, earth-science-atmospheric-radiation-atmosphere-heat-flux
Organization: National Aeronautics and Space Administration
ABoVE: Fractional Open Water Cover for Pan-Arctic and ABoVE-Domain Regions, 2002-2015

This data set provides land surface fractional open water cover maps for two overlapping regions: the entire pan-Arctic region (latitude > 45 degrees) and the Arctic-Boreal Vulnerability Experiment (ABoVE) domain across Alaska and Canada. The data are a 10-day averaged time step at 5-km spatial resolution for the period 2002-2015. Data represent the aerial portion of a grid cell covered by open water. The data were produced using high frequency (89 GHz) brightness temperatures from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2), with other ancillary inputs from AMSR-E/AMSR2 25-km products and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resulting data record for fractional water is suitable for documenting open water patterns and inundation dynamics in boreal-Arctic ecosystems experiencing rapid climate change.

Tags: earth-science, nasa, remote-sensing
Organization: National Aeronautics and Space Administration
ABoVE: Ignitions, Burned Area, and Emissions of Fires in AK, YT, and NWT, 2001-2018

This dataset provides estimates of daily burned area, carbon emissions, and uncertainty, and daily fire ignition locations for boreal fires in Alaska, U.S., and in the Yukon and Northwest Territories, Canada. The data are at 500 m resolution for the 18-year period from 2001-2018. Burned area was retrieved from combining fire perimeter data from the Alaskan and Canadian Large Fire Databases with surface reflectance and active fire data from the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6. Per-pixel carbon consumption was estimated based on a statistical relationship between field estimates of pyrogenic consumption and several environmental variables. To derive the carbon consumption estimates, the approach from Alaskan Fire Emissions Database (AKFED) was updated and extended for the period 2001-2018. Fire weather variables, temperature, and the drought code complemented remotely sensed tree cover and burn severity as model predictors. Fire ignition location and timing were extracted from the daily burned area maps.

Tags: earth-science, nasa, remote-sensing
Organization: National Aeronautics and Space Administration
SatCORPS CERES GEO Edition 4 Meteosat-9 Southern Hemisphere Version 1.0

CER_GEO_Ed4_MET09_SH_V01 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Meteosat-9 over the Southern Hemisphere (SH) Version 1.0 data product. Data was collected using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) Instrument on the Meteosat-9 platform. Data collection for this product is complete. This data set comprises cloud micro-physical and radiation properties derived hourly from Meteosat-9 geostationary satellite imager data using the Langley Research Center (LARC) SATCORPS algorithms supporting the CERES project. Each active geostationary satellite's cloud micro-physical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set is arranged as files for each hour and in netCDF-4 format. The observations are at 3 km resolution (at nadir) and are sub-sampled to 9 km. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

Tags: earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice, earth-science-clouds-atmosphere-cloud-microphysics-cloud-optical-depth-thickness, earth-science-clouds-atmosphere-cloud-properties-cloud-base-height, earth-science-clouds-atmosphere-cloud-properties-cloud-base-pressure, earth-science-clouds-atmosphere-cloud-properties-cloud-base-temperature, earth-science-clouds-atmosphere-cloud-properties-cloud-fraction, earth-science-clouds-atmosphere-cloud-properties-cloud-midlayer-temperature, earth-science-clouds-atmosphere-cloud-properties-cloud-top-height, earth-science-clouds-atmosphere-cloud-properties-cloud-top-pressure, earth-science-clouds-atmosphere-cloud-properties-cloud-top-temperature
Organization: National Aeronautics and Space Administration
Satellite Atmos. Correction Coef. (FIFE)

The atmospheric effects on the transmitted and reflected solar radiation should be factored into the estimation of geophysical and biophysical parameters from remotely-sensed data, so that appropriate correction schemes can be employed to infer reflectivity of the ground from satellite radiometric data. Some of the correction techniques require derived coefficients as inputs in the algorithms that perform the atmospheric correction. As part of the FIFE staff science data collection effort, the FIFE Information System (FIS) utilized atmospheric correction and related algorithms to generate coefficients for deriving corrected values from the FIFE level-1 image products. These coefficients were used by FIFE staff in calculating site reflectances from pixel values extracted from the level-1 imagery. The Fraser (Fraser et al., 1992) and LOWTRAN 7 (Kneizys et al., 1988) models were used for computation of coefficients used to correct radiances of scattered radiation measured by aircraft and/or satellite during FIFE. The Fraser algorithm is designed to compute the surface reflectance for a given measured radiance, or alternatively, the upward radiance at an arbitrary height when the surface reflectance is given. LOWTRAN 7 is a low-resolution propagation model and computer code for predicting atmospheric transmittance and background radiance from 0 to 50,000 [cm^-1] at a resolution of 20 [cm^-1].

Tags: earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-atmospheric-radiation-atmosphere-transmittance
Organization: National Aeronautics and Space Administration
Satellite Laser Ranging (SLR) Data Handling File for the International Laser Ranging Service (ILRS) extension of the International Terrestrial Reference Frame 2020 (ITRF2020) TRF Model with additional SLR sites

Corrections to SLR tracking data collected from various tables on CDDIS, resolutions from the ILRS/ASC (AWG) meetings, the T2L2 @ Jason-2 project (July 2008 to December 2017), the final results of the ILRS Station Systematic Error Monitoring--SSEM project, amended with results from its 2023 extension as an ongoing project, SSEM-X.

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys, earth-science-geodetics-solid-earth-geoid-characteristics
Organization: National Aeronautics and Space Administration
Satellite Laser Ranging (SLR) Earth Orientation Parameters (EOP) Position Products from NASA CDDIS

Station position and Earth Orientation Parameters (EOPs) solutions derived from analysis of Satellite Laser Ranging (SLR) data. These products are the generated by analysis centers in support of the International Laser Ranging Service (ILRS) and combined by the ILRS analysis coordinator to form the official ILRS EOP and station position product (daily and weekly).

Tags: earth-science-geodetics-solid-earth
Organization: National Aeronautics and Space Administration
SEASAT SCATTEROMETER BINNED 50KM SIGMA-0 DATA (Wentz)

Contains Seasat-A Scatterometer (SASS) Sigma-0 measurements for the entire Seasat mission, from July 1978 until October 1978, produced by Frank Wentz at Remote Sensing Systems. The data are presented chronologically by swath and consist of the forward and aft values, binned in 50 km cells. For each cell there are 17 parameters including time, location, incidence angle, sigma-0, instrument corrections, and data quality.

Tags: earth-science-radar-spectral-engineering-sigma-naught, earth-science-sea-ice-cryosphere-ice-extent
Organization: National Aeronautics and Space Administration
SEASAT SCATTEROMETER DEALIASED OCEAN WIND VECTORS (Atlas)

Contains wind speeds and directions derived from the Seasat-A Scatterometer (SASS), presented chronologically by swath for the period between 7 July 1978 and 10 October 1978. Robert Atlas et al. (1987) produced this product using an objective ambiguity removal scheme to dealias the wind vector data binned at 100 km cells, which were calculated by Frank Wentz.

Tags: earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
SEASAT_SAR_LEVEL1_HDF5

SEASAT Image Level 1

Tags: earth-science-coastal-processes-oceans-estuaries, earth-science-coastal-processes-oceans-fjords, earth-science-coastal-processes-oceans-inlets, earth-science-coastal-processes-oceans-lagoons, earth-science-coastal-processes-oceans-mangroves, earth-science-coastal-processes-oceans-marshes, earth-science-coastal-processes-oceans-rocky-coasts, earth-science-coastal-processes-oceans-shorelines, earth-science-geomorphic-landforms-processes-land-surface-coastal-landforms, earth-science-geomorphic-landforms-processes-land-surface-fluvial-landforms, earth-science-geomorphic-landforms-processes-land-surface-glacial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-coastal-landforms, earth-science-geomorphic-landforms-processes-solid-earth-fluvial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-glacial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-tectonic-landforms, earth-science-ocean-waves-oceans-wind-waves, earth-science-ocean-winds-oceans-surface-winds, earth-science-sea-ice-cryosphere-ice-extent, earth-science-sea-ice-cryosphere-leads, earth-science-sea-ice-oceans-ice-deformation, earth-science-sea-ice-oceans-ice-depth-thickness, earth-science-tectonics-solid-earth-plate-tectonics, earth-science-tectonics-solid-earth-volcanic-activity
Organization: National Aeronautics and Space Administration
Satellite SPOT Extracted Data (FIFE)

The Site Reflectances Extracted from SPOT HRV Imagery Data Set contains the average instrument corrected spectral radiances for each of the spectral bands (3 in XS and 1 in PAN) collected during the growing seasons of 1987, 1988, and 1989. In addition, the associated view angles and solar angles are available for each of 39 FIFE ground measurement sites. The data set also contains reflectances and exoatmospheric reflectances for these spectral bands. These reflectances were derived using the sensor calibrated radiance values corrected using atmospheric aerosol optical thickness and gaseous absorption profile measurements, when available. The atmospheric correction algorithm of Fraser et al. (1989) was used to calculate reflectance in the visible and infrared channels.

Tags: earth-science-atmospheric-radiation-atmosphere-reflectance, earth-science-atmospheric-radiation-atmosphere-solar-irradiance
Organization: National Aeronautics and Space Administration
SEASAT_SAR_LEVEL1_GEOTIFF

SEASAT Image GeoTIFF

Tags: earth-science-coastal-processes-oceans-estuaries, earth-science-coastal-processes-oceans-fjords, earth-science-coastal-processes-oceans-inlets, earth-science-coastal-processes-oceans-lagoons, earth-science-coastal-processes-oceans-mangroves, earth-science-coastal-processes-oceans-marshes, earth-science-coastal-processes-oceans-rocky-coasts, earth-science-coastal-processes-oceans-shorelines, earth-science-geomorphic-landforms-processes-land-surface-coastal-landforms, earth-science-geomorphic-landforms-processes-land-surface-fluvial-landforms, earth-science-geomorphic-landforms-processes-land-surface-glacial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-coastal-landforms, earth-science-geomorphic-landforms-processes-solid-earth-fluvial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-glacial-landforms, earth-science-geomorphic-landforms-processes-solid-earth-tectonic-landforms, earth-science-ocean-waves-oceans-wind-waves, earth-science-ocean-winds-oceans-surface-winds, earth-science-sea-ice-cryosphere-ice-extent, earth-science-sea-ice-cryosphere-leads, earth-science-sea-ice-oceans-ice-deformation, earth-science-sea-ice-oceans-ice-depth-thickness, earth-science-tectonics-solid-earth-plate-tectonics, earth-science-tectonics-solid-earth-volcanic-activity
Organization: National Aeronautics and Space Administration