OpenSearch

Using the NASA EOSDIS Common Metadata Repository

Collection Search

  • Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016

    https://cmr.earthdata.nasa.gov/search/concepts/C3550192203-ESDIS.xml
    Description:

    The Annual PM2.5 Concentrations for Countries and Urban Areas, 1998-2016, consists of mean concentrations of particulate matter (PM2.5) for countries and urban areas. The PM2.5 data are from the Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, 1998-2016. The urban areas are from the Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Urban Extent Polygons, Revision 02, and its time series runs from 1998 to 2016. The country averages are population-weighted such that concentrations in populated areas count more toward the country average than concentrations in less populated areas, and its time series runs from 2008 to 2015.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -54.85 -180 69.85 180

    ESDIS Short Name: CIESIN_SEDAC_SDEI_APM25_URBAN Version ID: 1.00 Unique ID: C3550192203-ESDIS

  • Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013

    https://cmr.earthdata.nasa.gov/search/concepts/C2389082906-ORNL_CLOUD.xml
    Description:

    This data set contains annual modeled estimates of wildland fire emissions at 0.01 degree (~1-km) spatial resolution from the Wildland Fire Emissions Information System (WFEIS v0.5) for the conterminous U.S. (CONUS) and Alaska for 2001 through 2013. WFEIS is a web-based tool that provides resources to quantify emissions from past fires and output results as spatial data files (French et al., 2014). The data set includes emissions estimates of carbon (C), carbon monoxide (CO), carbon dioxide (CO2), methane (CH4), other non-methane hydrocarbons (NMHC), and particulate matter (PM) as well as estimates of above-ground biomass, total fuel availability, and consumption estimates.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 24.2 -178.22 71.41 -65

    ORNL_CLOUD Short Name: CMS_WFEIS_CONUS-AK_1306 Version ID: 1 Unique ID: C2389082906-ORNL_CLOUD

  • Antarctic Peninsula 100 m Digital Elevation Model Derived from ASTER GDEM

    https://cmr.earthdata.nasa.gov/search/concepts/C2532070816-AMD_USAPDC.xml
    Description:

    This data set provides a 100 meter resolution surface topography Digital Elevation Model (DEM) of the Antarctic Peninsula. The DEM is based on Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) data.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -70 -70 -63 -55

    AMD_USAPDC Short Name: NSIDC-0516 Version ID: 1 Unique ID: C2532070816-AMD_USAPDC

  • AQUA/TERR MODIS L1B in the SIDaB Data Base

    https://cmr.earthdata.nasa.gov/search/concepts/C1214615135-SCIOPS.xml
    Description:

    The AQUA/TERRA MODIS Level 1B data set are distributed from SIDaB database system.The data was generated by using IMAPP software from MODIS-DB and was archived by TeraScan software into SIDaB.The data was used for quick imaging by TeraScan for natural disaster monitoring.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 30.1 128.74 46.26 146.46

    SCIOPS Short Name: MAFFIN_SIDaB_0027 Version ID: Not provided Unique ID: C1214615135-SCIOPS

  • ARCTAS Supplementary Satellite Data Products

    https://cmr.earthdata.nasa.gov/search/concepts/C3228971242-LARC_CLOUD.xml
    Description:

    ARCTAS_Satellite_Data is the supplementary satellite data for the Arctic Research of the Composition of the Troposphere from Aircraft & Satellites sub-orbital campaign. Data from TES, MOPITT and OMI are featured in this data product and data collection is complete. The Arctic is a critical region in understanding climate change. The responses of the Arctic to environmental perturbations such as warming, pollution, and emissions from forest fires in boreal Eurasia and North America include key processes such as the melting of ice sheets and permafrost, a decrease in snow albedo, and the deposition of halogen radical chemistry from sea salt aerosols to ice. Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) was a field campaign that explored environmental processes related to the high degree of climate sensitivity in the Arctic. ARCTAS was part of NASA’s contribution to the International Global Atmospheric Chemistry (IGAC) Polar Study using Aircraft, Remote Sensing, Surface Measurements, and Models of Climate, Chemistry, Aerosols, and Transport (POLARCAT) Experiment for the International Polar Year 2007-2008. ARCTAS had four primary objectives. The first was to understand long-range transport of pollution to the Arctic. Pollution brought to the Arctic from northern mid-latitude continents has environmental consequences, such as modifying regional and global climate and affecting the ozone budget. Prior to ARCTAS, these pathways remained largely uncertain. The second objective was to understand the atmospheric composition and climate implications of boreal forest fires; the smoke emissions from which act as an atmospheric perturbation to the Arctic by impacting the radiation budget and cloud processes and contributing to the production of tropospheric ozone. The third objective was to understand aerosol radiative forcing from climate perturbations, as the Arctic is an important place for understanding radiative forcing due to the rapid pace of climate change in the region and its unique radiative environment. The fourth objective of ARCTAS was to understand chemical processes with a focus on ozone, aerosols, mercury, and halogens. Additionally, ARCTAS sought to develop capabilities for incorporating data from aircraft and satellites related to pollution and related environmental perturbations in the Arctic into earth science models, expanding the potential for those models to predict future environmental change. ARCTAS consisted of two, three-week aircraft deployments conducted in April and July 2008. The spring deployment sought to explore arctic haze, stratosphere-troposphere exchange, and sunrise photochemistry. April was chosen for the deployment phase due to historically being the peak in the seasonal accumulation of pollution from northern mid-latitude continents in the Arctic. The summer deployment sought to understand boreal forest fires at their most active seasonal phase in addition to stratosphere-troposphere exchange and summertime photochemistry. During ARCTAS, three NASA aircrafts, the DC-8, P-3B, and BE-200, conducted measurements and were equipped with suites of in-situ and remote sensing instrumentation. Airborne data was used in conjunction with satellite observations from AURA, AQUA, CloudSat, PARASOL, CALIPSO, and MISR. The ASDC houses ARCTAS aircraft data, along with data related to MISR, a satellite instrument aboard the Terra satellite which provides measurements that provide information about the Earth’s environment and climate.

    Links: Temporal Extent: Spatial Extent:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_CLOUD Short Name: ARCTAS_Satellite_Data Version ID: 1 Unique ID: C3228971242-LARC_CLOUD

  • Arctic Boreal Annual Burned Area, Circumpolar Boreal Forest and Tundra, V2, 2002-2022

    https://cmr.earthdata.nasa.gov/search/concepts/C2902140502-ORNL_CLOUD.xml
    Description:

    This dataset provides annual cumulative end-of-season burned area in circumpolar boreal forests and tundra for the years 2002-2022. The data were generated using the Arctic Boreal Burned Area (ABBA) version 2 algorithm with MODIS collection 6 products. The algorithm is based on Normalized Burned Ratio differencing (dNBR) and is designed specifically to capture late season fires. The annual MODIS Vegetation Continuous Fields (VCF) 250-m Collection 5.1 (MOD44B) product allowed for additional vegetation-dependent dNBR thresholds within the algorithm's processing steps. The spatial domain is circumpolar regions above 50 degrees north latitude. The data are provided in cloud-optimized GeoTIFF format with 463-m resolution.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50 -179.522 83.626 177.16

    ORNL_CLOUD Short Name: Arctic_Boreal_Burned_Area_V2_2328 Version ID: 2 Unique ID: C2902140502-ORNL_CLOUD

  • Arctic Satellite Composite Imagery - Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598097-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates an infrared (~11.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. More recently, Arctic composites are created every hour for a total of 24 images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-Infrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598097-SCIOPS

  • Arctic Satellite Composite Imagery - Longwave Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598122-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates a longwave infrared (~12.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-LongwaveInfrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598122-SCIOPS

  • Arctic Satellite Composite Imagery - Shortwave Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598142-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates a shortwave infrared (~3.8 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-ShortwaveInfrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598142-SCIOPS

  • Arctic Satellite Composite Imagery - Visible

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598096-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates an visible (~0.65 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic visible composites are created every hour for a total of 24 images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-Visible-ARC-0713843 Version ID: Not provided Unique ID: C1214598096-SCIOPS