AndreaBozzo/ceres-open-data-index huggingface dataset:
Diode Laser Hygrometer (DLH) IMPACTS

The Diode Laser Hygrometer (DLH) dataset is comprised of water vapor mixing ratio measurements as well as relative humidities (both concerning liquid water and ice) which are derived from the water vapor mixing ratio and ambient static temperature and pressure provided by the TAMMS instrument suite. These measurements were made using two separate DLH instruments installed on the NASA P-3B research aircraft, and the data from these instruments were combined to provide the best combination of accuracy, dynamic range, and data coverage. The two DLH instruments are (1) the zenith-mounted system which utilizes an optical path between the zenith port and the aircraft’s vertical tail, and (2) the short-path system, which utilizes an optical path between two fuselage-mounted fins. This dataset was measured during the 2023 campaign of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Earth Venture Suborbital 3 project. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The project 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 advance prediction capabilities significantly. The DLH data files are available for flights from January 13, 2023, through February 28, 2023, and are in the ASCII format.

Tags: earth-science-atmospheric-pressure-atmosphere, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indices, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indices-humidity-index
Organization: National Aeronautics and Space Administration
Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Climatology Monthly Global 0.05Deg V003

The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) data suite has been expanded to include a monthly global uncertainty climatology product (CAM5K30UCCLIM). The product is provided at 0.05 degree (~5 kilometer) resolution. The 13 hinge-point uncertainty climatology is computed by taking an average over each available month from 2003 through 2021 (19 years) and includes three independent components of variability: temporal, spatial, and algorithm. Each measure of uncertainty climatology is provided for all 13 hinge points of emissivity and each latitude-longitude point. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Corresponding emissivity values can be found in the [CAM5K30EMCLIM](https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30EMCLIM.003) data product. Provided in the CAM5K30UCCLIM product are variables for algorithm uncertainty, spatial uncertainty, temporal uncertainty, total uncertainty, latitude, longitude, spectral wavelength, and total uncertainty quality flag information.

Tags: earth-science-snow-ice-terrestrial-hydrosphere-snow-cover, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Monthly Global 0.05Deg V003

The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly emissivity uncertainty at 0.05 degree (~5 kilometer) resolution (CAM5K30UC). CAM5K30UC is an estimation of total emissivity uncertainty comprising three independent components of variability: temporal, spatial, and algorithm. Each measure of uncertainty is provided for all 13 hinge points of emissivity and each latitude-longitude point. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Corresponding emissivity values can be found in the [CAM5K30EM](https://doi.org/10.5067/MEaSUREs/LSTE/CAM5K30EM.003) data product. Provided in the CAM5K30UC product are layers for algorithm uncertainty, spatial uncertainty, temporal uncertainty, total uncertainty, latitude, longitude, spectral wavelength, CAMEL quality, and total uncertainty quality information. Known Issues * The following granules are missing from the product: January, February, and August of 2000; June and July of 2001; March of 2002; December of 2003; July of 2010; and February of 2016. Improvements/Changes from Previous Version * Version 3 includes new MODIS Terra and Aqua Land Surface Temperature and 3-Band Emissivity (MYD/MOD21) input data in the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) emissivity database and the latest 6.1 version of MODIS Terra and Aqua Land Surface Temperature and Emissivity (MYD/MOD11) and MYD/MOD21 products with the most up-to-date calibration corrections. Additional information on the Version 3 updates is provided in Section 2 of the User Guide and ATBD.

Tags: earth-science-snow-ice-terrestrial-hydrosphere-snow-cover, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
COMEX: AVIRIS-NG Facility Instrument Associated Flights and Information, 2014

This dataset lists flight lines and provides data access links and contextual flight information for a subset of the AVIRIS-NG Facility Instrument Collection that are associated with the CO2 and MEthane eXperiment (COMEX) Project. The COMEX Project was carried out May through September, 2014. AVIRIS-NG Facility Instrument data are otherwise not replicated in this dataset. The COMEX Project utilized several measurement capabilities including the AVIRIS-NG airborne facility instrument data to demonstrate that methane emissions associated with fossil fuel production activities in the Los Angeles, California area were of sufficient magnitude and size for space-based observations. These lists of the associated COMEX flights from the AVIRIS-NG Facility Instrument provide flight lines and access information for the Level 1B Calibrated Radiance data and the Level 2 Calibrated Reflectance data.

Tags: earth-science-platform-characteristics-spectral-engineering-flight-data-logs
Organization: National Aeronautics and Space Administration
COMEX: AVIRIS-Classic Facility Instrument Associated Flights and Information, 2014

This dataset lists flight lines and provides data access links and contextual flight information for a subset of the AVIRIS-Classic Facility Instrument Collection that are associated with the CO2 and MEthane eXperiment (COMEX) Project. The COMEX Project was carried out May through September, 2014. AVIRIS-Classic Facility Instrument data are otherwise not replicated in this dataset. The COMEX Project utilized several measurement capabilities including the AVIRIS-Classic airborne facility instrument data to demonstrate that methane emissions associated with fossil fuel production activities in the Los Angeles, California area were of sufficient magnitude and size for space-based observations. These lists of the associated COMEX flights from the AVIRIS-Classic Facility Instrument provide flight lines and access information for the Level 1B Calibrated Radiance data and the Level 2 Calibrated Reflectance data.

Tags: earth-science-platform-characteristics-spectral-engineering-flight-data-logs
Organization: National Aeronautics and Space Administration
Combined ASTER and MODIS Emissivity database over Land (CAMEL) Emissivity Monthly Global 0.05Deg V003

The NASA Making Earth System Data Records for Use in Research Environments ([MEaSUREs](https://earthdata.nasa.gov/about/competitive-programs/measures)) Combined Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Moderate Resolution Imaging Spectroradiometer (MODIS) Emissivity for Land (CAMEL) dataset provides monthly emissivity at 0.05 degree (~5 kilometer) resolution (CAM5K30EM). The CAM5K30EM data product was created by combining the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) emissivity database and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GED V4). The two datasets have been integrated to capitalize on the unique strengths of each product's characteristics. The integration steps include adjustment of ASTER GED Version 3 emissivities for vegetation and snow cover variations to produce ASTER GED Version 4, aggregation of ASTER GED Version 4 emissivities from 100 meter resolution to the UWBF 5 kilometer resolution, merging of the five ASTER spectral emissivities with the UWBF emissivity to create CAMEL at 13 hinge points, and extension of the 13 hinge points to high spectral resolution (HSR) utilizing the Principal Component (PC) regression method. Additional details regarding the methodology are available in the User Guide and Algorithm Theoretical Basis Document (ATBD). Provided in the CAM5K30EM product are layers for the CAMEL emissivity, ASTER Normalized Difference Vegetation Index (NDVI), snow fraction derived from MODIS (MOD10), latitude, longitude, CAMEL quality, ASTER quality, and the UWBF emissivity quality information. Known Issues * The following granules are missing from the product: January, February, and August of 2000; June and July of 2001; March of 2002; December of 2003; July of 2010; and February of 2016. Improvements/Changes from Previous Version * Version 3 includes new MODIS Terra and Aqua Land Surface Temperature and 3-Band Emissivity (MYD/MOD21) input data in the University of Wisconsin-Madison MODIS Baseline Fit (UWBF) emissivity database and the latest 6.1 version of MODIS Terra and Aqua Land Surface Temperature and Emissivity (MYD/MOD11) and MYD/MOD21 products with the most up-to-date calibration corrections. Additional information on the Version 3 updates is provided in Section 2 of the User Guide and ATBD.

Tags: earth-science-snow-ice-terrestrial-hydrosphere-snow-cover, earth-science-surface-radiative-properties-land-surface-emissivity, earth-science-surface-thermal-properties-land-surface-land-surface-temperature, earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
COMEX: AMOG Surface Mobile in situ Data Surveyor, USA, 2014-2015

This dataset provides AutoMObile trace Gas Surveyor (AMOG) in situ relevant datasets collected during the CO2 and Methane EXperiment (COMEX) field campaign and afterwards. COMEX was conducted in the summer and fall 2014 to study strong methane, CH4, sources in S. California including animal husbandry, fossil fuel industrial (FFI) production, petroleum refining, landfills, and natural geological formations. The AMOG Surveyor is a mobile air quality laboratory built into a passenger car. AMOG Surveyor uses an asynchronous logging system based on a NMEA tagging protocol, termed a tagstream. Analyzers provide data at rates from 5 Hz to 0.016 Hz. Tagstream data are timestamped based on the time of the analyzer measurement, which does not take into account the air sample travel time in sample tubes and analyzers, termed layback time. This dataset contains Level 0 (L0) and Level 1 (L1) data. L0 data were analyzed and sensor data interpolated to a uniform timebase of 5 Hz, correcting for the layback time, the time of flight for air samples in the sample tube and analyzers. L1 data include true winds (corrected for vehicle velocity), with filtering of outliers, non-physical data, and gap filling. The data files are in HDF-5 (.h5) format.

Tags: earth-science-air-quality-atmosphere, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-environmental-impacts-human-dimensions
Organization: National Aeronautics and Space Administration
CMS: Forest Biomass and Productivity, 1-degree and 5-km, Conterminous US, 2005

Notice: This data set and guide were updated on June 30, 2014 to correct an error in the reported units. The data values were not changed.Spatially-gridded estimates of above ground biomass (AGB), net primary productivity (NPP), and net ecosystem productivity (NEP) are provided for forested areas of the conterminous United States (CONUS). Estimates of uncertainty are also provided for AGB and NEP. These data were derived by using Forest Inventory and Analysis (FIA) data to constrain forest growth rates in a Carnegie-Ames-Stanford Approach (CASA) carbon-cycle process model. Note that the data set does not include data for forests in the Northern Prairie States region (NPS; see Figure 3). These data provide a detailed estimate of carbon sources and sinks from recent forest disturbance and recovery across regions and forest types of the US. The data are presented as a series of ten NetCDF v4 (*.nc4) files at two spatial scales (1-degree and 5-km spatial resolution) for the nominal year of 2005.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-biomass
Organization: National Aeronautics and Space Administration
CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014

This data set provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014. The data are arranged into 144 1- by 1-km tiles.

Tags: earth-science-coastal-processes-oceans-mangroves, earth-science-ecosystems-biosphere-marine-ecosystems-coastal, earth-science-lidar-spectral-engineering, earth-science-topography-land-surface-terrain-elevation, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-forest-composition-vegetation-structure
Organization: National Aeronautics and Space Administration
DISCOVER-AQ Colorado Deployment P-3B Aircraft Remotely Sensed Cloud Absorption Radiometer (CAR) Data

DISCOVERAQ_Colorado_Radiation_AircraftRemoteSensing_CAR_Data contains remotely sensed data collected via the Cloud Absorption Radiometer (CAR) onboard NASA's P-3B aircraft during the Colorado (Denver) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Colorado deployment and data collection is complete. Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality. DISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS). The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

Tags: earth-science-atmospheric-radiation-atmosphere-reflectance, earth-science-atmospheric-radiation-atmosphere-solar-irradiance, earth-science-clouds-atmosphere-cloud-radiative-transfer-cloud-reflectance
Organization: National Aeronautics and Space Administration
Delta-X: Ecogeomorphic Cell Products across the MRD, LA, USA, 2021

This product delineates the Mississippi River Delta (MRD) landscape into distinct ecogeomorphic cells, which are small contiguous areas of land with similar ecological and geomorphological characteristics. The study area is the Atchafalaya and Terrebonne basins of the MRD in southern Louisiana, U.S., which was the focus of NASA's 2021 Delta-X campaign. Each ecogeomorphic cell is a small homogeneous area of similar vegetation and elevation (or bathymetry). A "cell" typically consists of a cluster of contiguous pixels in a raster image, although cells of single pixels are present. The elevation was derived from the USGS Digital Elevation Model, and the vegetation was characterized by its spectral signature as measured by near infrared (NIR) reflectance and normalized difference vegetation index (NDVI). NIR and NDVI were computed from Sentinel-2 images acquired January through September 2021. The data are provided in shapefile and GeoTIFF formats. The vector shapefiles contain the distinct ecogeomorphic cells as polygons with unique labels (i.e., ID number). A raster image of these ecogeomorphic cells provided wherein the pixel values are the polygon labels from the shapefiles. The GeoTIFFs hold the mean and standard deviations of bathymetry, NIR, and NDVI spectral indices within each ecogeomorphic region (polygon). The raster data are provided with a spatial resolution of 0.000045 degrees (approximately 5 meters).

Tags: earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-wetlands
Organization: National Aeronautics and Space Administration
DISCOVER-AQ Maryland Deployment Analysis and Ancillary Ground Site Data

DISCOVERAQ_Maryland_Ground_Analysis_Ancillary_Data contains data collected at ancillary ground sites during the Maryland (Baltimore-Washington) deployment of NASA's DISCOVER-AQ field study. This data product contains data for only the Maryland deployment and data collection is complete. Understanding the factors that contribute to near surface pollution is difficult using only satellite-based observations. The incorporation of surface-level measurements from aircraft and ground-based platforms provides the crucial information necessary to validate and expand upon the use of satellites in understanding near surface pollution. Deriving Information on Surface conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) was a four-year campaign conducted in collaboration between NASA Langley Research Center, NASA Goddard Space Flight Center, NASA Ames Research Center, and multiple universities to improve the use of satellites to monitor air quality for public health and environmental benefit. Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality. DISCOVER-AQ employed two NASA aircraft, the P3-B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS). The first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.

Tags: earth-science-aerosols-atmosphere, earth-science-air-quality-atmosphere, earth-science-altitude-atmosphere-planetary-boundary-layer-height, earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-pressure-atmosphere-planetary-boundary-layer-height
Organization: National Aeronautics and Space Administration
CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095

The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided. Results are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100. These downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario. Data are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-vegetation-biosphere-forest-composition-vegetation-structure
Organization: National Aeronautics and Space Administration