AndreaBozzo/ceres-open-data-index huggingface dataset:
PREFIRE Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 2 R01

PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Level 1A Calibrated Spectral Radiance from PREFIRE Satellite 2 (PREFIRE_SAT2_1A-RAD) contains calibrated radiance data retrieved from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately. Digital number counts from the PREFIRE_SAT2_0-PAYLOAD-TLM collection are converted to radiance and calibrated using an internal blackbody target and space-look data. The PREFIRE_SAT2_1A-RAD data are used as input for PREFIRE_SAT2_1B-RAD, which is geolocated radiance. Given that it is not geolocated, PREFIRE_SAT2_1A-RAD is not useful for direct scientific study. Science data retrieval for this collection started on June 29, 2024, and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. These data have a temporal resolution of 0.707 seconds and is available in NetCDF-4. Calibrated radiance data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_1A-RAD collection.

Tags: earth-science-atmospheric-radiation-atmosphere-earth-radiation-budget, earth-science-atmospheric-radiation-atmosphere-longwave-radiation-upwelling-longwave-radiation, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance
Organization: National Aeronautics and Space Administration
PREFIRE Auxiliary Satellite Data for PREFIRE Satellite 1 R01

PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Auxiliary Satellite Data for PREFIRE Satellite 2 contains data fields extracted from external satellite datasets for each coincident PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) field of view, which is then used to process PREFIRE Level 2 and 3 products. Dual CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately. This collection contains surface-type information from VIIRS, Aqua, and NISE (SSMIS). Its primary purpose is to provide surface type information for the PREFIRE Level 2 spectral flux product (PREFIRE_SAT1_2B-FLX) and the Level 3 surface emissivity product (PREFIRE_SAT1_3-SFC-SORTED-ALLSKY), which is sorted by surface type. Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4. The auxiliary satellite data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_AUX-SAT collection.

Tags: earth-science-cryospheric-indicators-climate-indicators-sea-ice-concentration, earth-science-cryospheric-indicators-climate-indicators-snow-cover, earth-science-land-use-land-cover-land-surface-land-ocean-ice-fraction
Organization: National Aeronautics and Space Administration
PnET-BGC: Modeling Biogeochemical Processes in a Northern Hardwood Forest Ecosystem

This archived model product contains the directions, executables, and procedures for running PnET-BGC to recreate the results of Gbondo-Tugbawa, S.S., C.T. Driscoll , J.D. Aber and G.E. Likens. 2001. The evaluation of an integrated biogeochemical model (PnET-BGC) at a northern hardwood forest ecosystem. Water Resources Research 37:1057-1070. Gbondo-Tugbawa et al,. 2001 Excerptfrom Abstract: An integrated biogeochemical model (PnET-BGC) was formulated to simulate chemical transformations of vegetation, soil, and drainage water in northern forest ecosystems. The model operates on a monthly time step and depicts the major biogeochemical processes, such as forest canopy element transformations, hydrology, soil organic matter dynamics, nitrogen cycling, geochemical weathering, and chemical equilibrium reactions involving solid and solution phases. The model was evaluated against soil and stream data at the Hubbard Brook Experimental Forest, New Hampshire. Model predictions of concentrations and fluxes of major elements generally agreed reasonably well with measured values, as estimated by normalized mean error and normalized mean absolute error. Model output of soil base saturation and stream acid neutralizing capacity were sensitive to parameter values of soil partial pressure of carbon dioxide, soil mass, soil cation exchange capacity, and soil selectivity coefficients of calcium and aluminum. PnET-BGC can be used as a tool to evaluate the response of soil and water chemistry of forest ecosystems to disturbances such as clear-cutting, climatic events, and atmospheric deposition.PnET-BGC, was used to investigate inputs and dynamics of S in a northern hardwood forest at the Hubbard Brook Experimental Forest (HBEF) (Gbondo-Tugbawa et al., 2002). The changes in soil S pools and stream-water were simulated to assess the response 22 SO4 to both atmospheric S deposition and forest clear-cutting disturbances. Watershed studies across the northeastern United States have shown that stream losses of exceed atmospheric sulfur (S) deposition. Understanding the processes responsible for this additional source of S is critical to quantifying ecosystem response to ongoing and potential future controls on SO2 emission.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-biogeochemical-cycles, earth-science-ecological-dynamics-biosphere-ecosystem-functions-photosynthesis, earth-science-surface-water-terrestrial-hydrosphere-surface-water-chemistry, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-nutrients
Organization: National Aeronautics and Space Administration
PREFIRE Auxiliary Satellite Data for PREFIRE Satellite 2 R01

PREFIRE (Polar Radiant Energy in the Far InfraRed Experiment) Auxiliary Satellite Data for PREFIRE Satellite 2 contains data fields extracted from external satellite datasets for each coincident PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) field of view, which is then used to process PREFIRE Level 2 and 3 products. Dual CubeSats each carry a TIRS-PREFIRE, a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately. This collection contains surface-type information from VIIRS, Aqua, and NISE (SSMIS). Its primary purpose is to provide surface type information for the PREFIRE Level 2 spectral flux product (PREFIRE_SAT2_2B-FLX) and the Level 3 surface emissivity product (PREFIRE_SAT2_3-SFC-SORTED-ALLSKY), which is sorted by surface type. Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4. The auxiliary satellite data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_AUX-SAT collection.

Tags: earth-science-cryospheric-indicators-climate-indicators-sea-ice-concentration, earth-science-cryospheric-indicators-climate-indicators-snow-cover, earth-science-land-use-land-cover-land-surface-land-ocean-ice-fraction
Organization: National Aeronautics and Space Administration
Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, Version 4

This data set contains daily and weekly sea ice motion vectors, as well as browse images representing the weekly data. Input data sources, derived from AVHRR, AMSRE, SMMR, SSMI, and SSMI/S sensors; IABP buoys; and NCEP/NCAR Reanalysis forecasts, used to generate the daily and weekly sea ice motion estimates are also included. For more recent data, see the Quicklook Arctic Weekly EASE-Grid Sea Ice Motion Vectors data set (https://nsidc.org/data/nsidc-0748).

Tags: earth-science-sea-ice-oceans-sea-ice-motion, earth-science-snow-ice-cryosphere-ice-velocity
Organization: National Aeronautics and Space Administration
Pre-LBA ISLSCP Initiative I Data

This data set contains hydrology, soils, radiation, cloud, and vegetation data from the International Satellite Land Surface Climatology Project (ISLSCP) Initiative I. The ISLSCP data sets should provide LBA modelers with many of the fields required to describe boundary conditions, and to initialize and force a wide range of land-biosphere-atmosphere models. All of the data have been processed to the same global spatial resolution (1 deg. x 1 deg.), using the same land/sea mask and steps have been taken to ensure spatial and temporal continuity of the data. The data sets cover the period 1987-1988 at 1-month time resolution for most of the seasonally varying quantities. For this pre-LBA data set, the ISLSCP I data are provided as global coverages. The companion file illustrations were subset over the LBA study area, from 35-85 deg. W longitude and 20 deg. S to 10 deg. N latitude, as shown in Figure 1. The data files and illustrations are organized into the three groups listed below. 1. Hydrology and Soils 2. Radiation and Clouds 3. Vegetation The data within each of these areas were acquired from a variety of sources including model output, satellites, and ground measurements. The individual data sets were provided in a variety of forms. In some cases, this required the data publication team to regrid and reformat data sets and in others to produce monthly averages from finer resolution data. The specific processing for each data set is detailed in the documentation. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but are now archived individually.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-surface-radiative-properties-land-surface-reflectance, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-rivers-streams, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Pre-LBA ABLE-2A and ABLE-2B Expedition Data

The ABLE 2A and 2B (Atmospheric Boundary Layer Experiments) data consists of estimates of the rate of exchange of a wide variety of aerosols and gases between the Amazon Basin and its atmospheric boundary layer, and the processes by which these aerosols and gases are moved between the boundary layer and the free troposphere. The data are presented in gzipped ASCII text files in Global Tropospheric Experiment (GTE) format. The ABLE-2 project consisted of two expeditions: the first in the Amazonian dry season (ABLE-2A, July-August 1985); and the second in the wet season (ABLE-2B, April-May 1987). The ABLE-2 core research data were gathered by NASA Electra aircraft flights that stretched from Belem, at the mouth of the Amazon River, west to Tabatinga, on the Brazil-Colombia border, from a base at Manaus in the heart of the forest. See Figure 1. These observations were supplemented by ground based chemical and meteorological measurements in the dry forest, the Amazon floodplain, and the tributary rivers through use of enclosures, an instrumented tower in the jungle, a large tethered balloon, and weather and ozone sondes. This study showed air above the Amazon jungle to be extremely clean during the wet season but air quality deteriorated dramatically during the dry season as the result of biomass burning, performed mostly at the edges of the forest. Biomass burning is also a source of greenhouse gases carbon dioxide and methane, as well as other pollutants (carbon monoxide and oxides of nitrogen). Amazonian ozone deposition rates were found to be 5 to 50 times higher than those previously measured over pine forests and water surfaces. The Amazon River floodplain is a globally significant source of methane, supplying about 12% of the estimated worldwide total from all wetlands sources. Over Amazonia, carbon monoxide is enhanced by factors ranging from 1.2 to 2.7 by comparison with adjacent regions due to isoprene oxidation and biomass burning. Over the rainforest individual convective storms transport 200 megatons of air per hour, of which 3 megatons is water vapor that releases 100,000 megawatts of energy into the atmosphere through condensation into rain. The ABLE was a collaboration of U.S. and Brazilian scientists sponsored by NASA and Instituto Nacional de Pesquisas Espaciais (INPE) and supported by the Global Tropospheric Experiment (GTE) component of the NASA Tropospheric Chemistry Program.

Tags: earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species, earth-science-atmospheric-radiation-atmosphere-radiative-forcing, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature
Organization: National Aeronautics and Space Administration
PMR/Nimbus-6 Level 1 Radiance Data from CD-ROM V001 (PMRN6L1RAD_CDROM) at GES DISC

PMRN6L1RAD_CDROM is the gridded Nimbus-6 Pressure Modulated Radiometer (PMR) Level 1 Radiance Data Product. The radiances are measured at CO2 lines in the 15 micron band. The purpose of the PMR experiment is to measure the temperature of the upper stratosphere and mesosphere from 40 to 90 km with a vertical resolution of about 10 km, and 500 km horizontal resolution. This product contains radiances in a daily 4 degree latitude x 10 degree longitude grid format, as well as copies of the original tapes. The data for this product are available from 16 June 1975 to 24 June 1978. The principal investigator for the PMR experiment was Dr. John T. Houghton from Oxford University. This product was created by the Oxford University's Atmospheric, Oceanic and Planetary Physics (AOPP) group. The data are stored on two CD-ROMs in ASCII files of hexadecimal characters, and are available in gzipped Unix tar archive files. The first CD-ROM contains the gridded radiance data and a few original tape data files, the second CD-ROM contains the remaining compressed copies of the original data tapes. The byte-ordering in the data files follows the DEC convention for 16-bit integers of less significant byte first. Normal 2's complement integer storage is assumed.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance
Organization: National Aeronautics and Space Administration
Pre-LBA Smoke, Clouds, and Radiation - Brazil (SCAR-B) Data

This data set contains meteorological data, reanalysis data, remote sensing images, and data on atmospheric composition collected during the Smoke, Clouds, and Radiation - Brazil (SCAR-B) experiment. The SCAR-B examined the effects of biomass burning on atmospheric processes with four primary goals: (1) improving techniques for remote sensing of these process from space, (2) obtain measurements of the rates of emissions of trace gases and particles from biomass burning, (3) observe the influence of atmospheric processes on the emission products was to obtain measurements of the rates of emissions of trace gases and particles from biomass burning, and to observe the influence of atmospheric processes on these emission products, and (4) characterize the physical and radiative properties of smoke particles from biomass burning. SCAR-B was conducted during biomass burning in the cerrado ( dry savannah) and Amazonia rainforest to understand the influence of land cover type on smoke, clouds, and radiation. Selected archived data and images from SCAR-B are described in the Data Description section table. Extensive background information on SCAR-B is provided following the Data Description. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD_ROMs (Marengo and Victoria, 1998) but are now archived individually.

Tags: earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-pressure-atmosphere, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-winds-atmosphere-upper-level-winds
Organization: National Aeronautics and Space Administration
SBU Microwave Radiometer (MWR) IMPACTS

The SBU Microwave Radiometer (MWR) IMPACTS dataset consists of microwave radiometer data collected 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 (2020-2023). The campaign 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 dataset files are available from January 1, 2023, through March 6, 2023, in netCDF-4 format.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-precipitation-atmosphere-liquid-precipitation-rain
Organization: National Aeronautics and Space Administration
SBU X-band Phased Array Radar (SKYLER) IMPACTS

The SBU X-band Phased Array Radar (SKYLER) IMPACTS dataset consists of polarimetric radar data collected by the Stony Brook University (SBU) X-band Phased Array Radar (SKYLER) 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 (2020-2023). The campaign 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. SKYLER provided detailed observations of cloud and precipitation microphysics, specifically ice and snow processes. These data include reflectivity, mean velocity, spectrum width, linear depolarization ratio, differential reflectivity, differential phase, specific differential phase, co-polarized correlation coefficient, and signal-to-noise ratio. The dataset files are available from January 17, 2022, through February 28, 2023, in netCDF-4 format.

Tags: earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-radial-velocity, earth-science-radar-spectral-engineering-spectrum-width
Organization: National Aeronautics and Space Administration
TES/Aura L3 HNO3 Monthly Gridded V004

TL3HNOM_4 is the Tropospheric Emission Spectrometer (TES)/Aura Level 2 Atmospheric Temperatures Limb Version 4 data product. It consists of monthly averages of atmospheric temperature and VMR for atmospheric species are provided at 2 deg. lat. X 4 deg. long. spatial grids and at a subset of TES standard pressure levels. Algorithms for deriving TES L3 data will be provided in the data files.

Tags: earth-science-air-quality-atmosphere-nitrogen-oxides, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-atmospheric-nitric-acid, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-oxides
Organization: National Aeronautics and Space Administration
SBUV2/NOAA-16 Ozone (O3) Nadir Profile and Total Column 1 Day L2 V1 (SBUV2N16L2) at GES DISC

The Solar Backscattered Ultraviolet (SBUV) from NOAA-16 Level-2 daily product (SBUV2N16L2) contains ozone nadir profile and total column data from retrievals generated from the v8.6 SBUV algorithm. The v8.6 SBUV algorithm estimates the ozone nadir profile and total column from SBUV measurements using 1) the Brion-Daumont-Malicet ozone cross sections, 2) an OMI-derived cloud-height climatology, 3) a revised a priori ozone climatology, and 4) inter-instrument calibration based on comparisons with no local time difference. The SBUV2N16L2 product is written as daily files using the HDF5 format, with file sizes ranging from about 1 to 5 Mbytes. Data are available from October 2000 through July 2013. The SBUV2N16L2 data product was used as input in creating the SBUV2N16L3zm monthly zonal mean data product.

Tags: earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration