AndreaBozzo/ceres-open-data-index huggingface dataset:
OCO-3 Level 2 meteorological parameters interpolated from global assimilation model for each sounding, Forward Processing V10 (OCO3_L2_Met) at GES DISC

Version 10 is the current version of the data set. Older versions will no longer be available and are superseded by Version 10. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
OCO-3 Level 2 spatially ordered geolocated retrievals screened using the A-band Preprocessor, Retrospective Processing V11r (OCO3_L2_ABand) at GES DISC

Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
PATagonia EXperiment (PATEX) Project

PATagonia EXperiment (PATEX) Project is a Brazilian research project, which has the overall objective of characterizing the environmental constraints, phytoplankton assemblages, primary production rates, bio-optical characteristics, and air-sea CO2 fluxes waters along the Argentinean shelf-break during austral spring and summer. A set of seven PATEX cruises were conducted from 2004 to 2009. Garcia et al., 2011 (doi:10.1029/2010JC006595)

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
OCO-3 Level 2 meteorological parameters interpolated from global assimilation model for each sounding, Retrospective Processing V11r (OCO3_L2_Met) at GES DISC

Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
OCO-3 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V11r (OCO3_L2_Lite_SIF) at GES DISC

Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
OCO-3 Level 2 spatially ordered geolocated retrievals screened using the A-band Preprocessor, Retrospective Processing V10r (OCO3_L2_ABand) at GES DISC

Version 10r is the current version of the data set. Older versions will no longer be available and are superseded by Version 10r. The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2. The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations. The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration
PBseaice

The data will include three measurements made on discrete seawater samples that were collected from under sea ice. The measurements are (a) concentration of dissolved organic carbon, (b) concentration of refractory dissolved organic carbon, and (c) bioavailable dissolved organic carbon. For (a) the error is calculated as a standard deviation, while errors for (b) and (c) are given as standard errors. Each sample also includes latitude / longitude / water depth (m). I have all the protocols needed to describe the sample handling.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
Passive Microwave Hail Climatology Data Products V1

The Passive Microwave Hail Climatology Data Products are gridded estimates of the annual frequency of severe hailstorm occurrence, as retrieved from satellite-borne passive microwave imagery. These data products can be useful for weather and climatological research related to storms, as well as applications involving risk management and emergency management. The dataset files are available in netCDF-3 format, as well as hail climatology maps in PNG format, from January 1, 1998, through March 31, 2023.

Tags: earth-science-precipitation-atmosphere-solid-precipitation-hail
Organization: National Aeronautics and Space Administration
NS001 TMS Extracted Data (FIFE)

As part of the FIFE staff science data processing effort, the FIFE Information System (FIS) extracted site average radiances from the level-1 NS001-TMS products. Data were collected by the NS001 during each of the FIFE IFC's. Selected flights were processed to level-1. The site averages were extracted from these processed images. Therefore, this data set contains a small number of observation dates for each site, but at the multiple angles provided by the grid pattern used during each flight. The data set can be used for canopy reflectance modeling studies. The site average radiances extracted from the NS001 imagery are instrument-corrected spectral radiances for each of the eight spectral bands. Geographic location and viewing and solar angles for each of 39 FIFE ground measurement sites are also included for each observation. The sensor calibrated radiance values were 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. The thermal data are corrected using parameters derived from the Lowtran7 atmospheric path radiance model (Kneizys et al., 1988).

Tags: earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature
Organization: National Aeronautics and Space Administration
NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture Beta V2

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The GCOM-W1 NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture product is a daily measurement of surface soil moisture produced by two retrieval algorithms using resampled Tb (Level-1R) data provided by JAXA: the Normalized Polarization Difference (NPD) algorithm developed by JPL and the Single Channel Algorithm (SCA) developed by USDA. Ancillary data include time, geolocation, and quality assessment. Data are stored in HDF-EOS5 and netCDF4 formats and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/land/. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. The AMSR SIPS produces AMSR2 standard science quality data products and they are available at the NSIDC DAAC. Note: This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. With this beta release, we are generating NRT products in both HDF-EOS5 and netCDF with CF metadata. Version 2 corrects these issues from the previous release: a boundary condition error that resulted in the failure of a small number of version 1 product files and an error in the number of low resolution scans processed which caused only the first half of each scan to be processed.

Tags: earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
NPP Tropical Forest: Consistent Worldwide Site Estimates, 1967-1999, R1

This data set contains documented field measurements of NPP components for 39 old-growth tropical forests distributed worldwide between latitudes 23.58 N and 23.58 S. The data were compiled from published literature and other extant sources. The data are georeferenced to each intensive study site and include above- and below-ground biomass, fine root biomass, litterfall, branchfall, above-ground biomass increment, and herbivory estimates, where available. Other site characteristics are included, such as elevation, forest type and age, soil type, and climate summaries. Key references are provided. Estimates of above-ground net primary productivity (ANPP) for the 39 sites were made based on the sum of (1) measured or estimated above-ground biomass increment, (2) measured or estimated fine litterfall accumulation, (3) estimated losses to consumers, and (4) estimated biogenic volatile organic compound emissions. Estimates of below-ground NPP were made based on professional judgment that below-ground production is 0.2 x ANPP (lower bounds) or 1.2 x ANPP (upper bounds). TNPP was calculated as the range between the low and high values of ANPP + BNPP. Average BNPP and TNPP estimates were also calculated. Across the broad spectrum of the tropical forests studied (dry to wet, lowland to montane, nutrient-rich to nutrient-poor soils), the estimates of total NPP range from 3.4 to 34.4 Mg/ha/yr (lower bounds) and from 6.2 to 63.0 Mg/ha/yr (upper bounds). There is one comma-separated data file (.csv) with this data set. The ORNL DAAC [http://daac.ornl.gov] NPP Collection for tropical forests contains additional biomass and NPP component estimates and climate data for 28 of the intensive study sites in this data set. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 2001.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-biomass-dynamics, earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-vegetation-biosphere-biomass
Organization: National Aeronautics and Space Administration
NPP Temperate Forest: OTTER Project Sites, Oregon, USA, 1989-1991, R1

This data set provides net primary productivity (NPP) estimates and associated field measurements for six sites located along the 250-km, west-east transect of the Oregon Transect Ecosystem Research Project (OTTER) in the Pacific Northwest. Leaf area indices, biomass, and NPP vary about 10-fold across the OTTER transect. Leaf area index (LAI) ranges from 0.4 m2/m2 at the Juniper/Sisters site to 8.6 m2/m2 at the Scio western Cascade site. Total NPP follows a similar trend with the Juniper/Sisters site having the lowest NPP value (300 g/m2/yr) and the Scio site having the highest (2,250-2,570 g/m2/yr). Total tree biomass across the transect ranges from to 1,080 g/m2 at Juniper/Sisters to 71,080 g/m2 at Cascade Head. Vegetation intercepts 22% to 99.5% of incident photosynthetically active radiation along the transect. There is one data file (.csv format) with this data set. Revision Notes: Only the documentation for this data set has been modified. The data files have been checked for accuracy and are identical to those originally published in 1999.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-biomass-dynamics, earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-vegetation-biosphere-biomass
Organization: National Aeronautics and Space Administration
NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V4

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC. The NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA). The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC. This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of LANCE AMSR2 Level-3 sea ice products at 12.5 km and 25 km resolution. Data are stored in HDF-EOS5/netCDF-CF format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice6. If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/

Tags: earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-sea-ice-cryosphere-sea-ice-concentration, earth-science-sea-ice-oceans-sea-ice-concentration
Organization: National Aeronautics and Space Administration
NWS Daily Climatology Data: 1975 (SNF)

Weather data were collected by the National Weather Service in International Falls, Minnesota. International Falls is about 80 miles from the SNF, but the weather data is representative of the area. Total solar insolation measurements were made at Fall Lake Dam in Winton, Minn. by Prof. Donald Baker of the Department of Soil Science at the University of Minnesota, St. Paul. Insolation values were measured using a Yellow Springs solar cell calibrated against an Eppley Pyranometer.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-precipitation-atmosphere-precipitation-amount
Organization: National Aeronautics and Space Administration
NWS Daily Climatology Data: 1986 (SNF)

Weather data were collected by the National Weather Service in International Falls, Minnesota. International Falls is about 80 miles from the SNF, but the weather data is representative of the area. Total solar insolation measurements were made at Fall Lake Dam in Winton, Minn. by Prof. Donald Baker of the Department of Soil Science at the University of Minnesota, St. Paul. Insolation values were measured using a Yellow Springs solar cell calibrated against an Eppley Pyranometer.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-precipitation-atmosphere-precipitation-amount
Organization: National Aeronautics and Space Administration
NWS Daily Climatology Data: 1982 (SNF)

Weather data were collected by the National Weather Service in International Falls, Minnesota. International Falls is about 80 miles from the SNF, but the weather data is representative of the area. Total solar insolation measurements were made at Fall Lake Dam in Winton, Minn. by Prof. Donald Baker of the Department of Soil Science at the University of Minnesota, St. Paul. Insolation values were measured using a Yellow Springs solar cell calibrated against an Eppley Pyranometer.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-precipitation-atmosphere-precipitation-amount
Organization: National Aeronautics and Space Administration