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Climate Indicators Data Access and Tools

NASA data measure the gases, carbon, energy and other components driving climate change and track their effects on the health of Earth’s environment and ecosystems. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Climate Indicators Datasets

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Dataset Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
AirMOSS: L4 Modeled Volumetric Root Zone Soil Moisture, 2012-2015 1 MODELS Computer 2012-09-21 to 2015-09-28

N: 54.1254 S: 19.1247 E: -68.1237 W: -123.283

netCDF-4 classic
Alaska's Changing YK Delta: Knowledge Exchange between Elders and Geoscientists, 2018 1 FIELD SURVEYS VISUAL OBSERVATIONS 2018-11-14 to 2018-11-16

N: 63.4333 S: 59.5816 E: -159.478 W: -166.553

PDF
AMSR-E/Aqua Weekly L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002 2 Aqua AMSR-E 2002-06-19 to 2011-10-02

N: 89.24 S: -89.24 E: 180 W: -180

0.25 Decimal Degrees x 0.25 Decimal Degrees HDF-EOS2
Annual wildland fire emissions (WFEIS v0.5) for Conterminous US and Alaska, 2001-2013 1 Terra MODIS 2001-01-01 to 2013-12-31

N: 71.41 S: 24.2 E: -65 W: -178.22

GeoTIFF
Arctic Vegetation Plots in Willow Communities, North Slope, Alaska, 1997 1 FIELD INVESTIGATION, FIELD SURVEYS BALANCE, PH METERS 1997-07-09 to 1997-08-17

N: 70.1878 S: 68.0331 E: -148.084 W: -149.851

CSV
ATom: Cloud and Coarse Aerosol Measurements from CAPS Instrument, 2016-2018 1 NASA DC-8 CAPS 2016-07-29 to 2018-05-21

N: 90 S: -90 E: 180 W: -180

ICARTT
ATom: Development of Cloud Indicator Algorithm Using Airborne Observations from CAPS 1 COMPUTERS Computer 2016-07-01 to 2019-09-30

N: 90 S: -90 E: 180 W: -180

netCDF-4
BOREAS AES Canadian Hourly and Daily Surface Meteorological Data, R1 2 METEOROLOGICAL STATIONS SNOW MEASURING ROD, TEMPERATURE LOGGERS, HUMIDITY SENSORS, RAIN GAUGES, WIND MONITOR, VISUAL OBSERVATIONS, BAROMETERS, ANEMOMETERS, DEWPOINT HYDROMETERS, DRY BULB THERMOMETERS, WET BULB THERMOMETERS 1975-01-01 to 1997-01-01

N: 57.35 S: 52.17 E: -97.83 W: -107.87

Binary
BOREAS HYD-01 Volumetric Soil Moisture Data 1 FIELD INVESTIGATION NEUTRON PROBE, TDR 1994-05-25 to 1997-06-26

N: 55.93 S: 53.66 E: -98.29 W: -105.32

ASCII
CARVE: Daily Thaw State of Boreal and Arctic Alaska from AMSR-E and SSM/I, 2003-2014 1.1 ADEOS-II, DMSP AMSR-E, SSM/I 2003-01-01 to 2014-12-31

N: 74.399 S: 46.9946 E: -106.947 W: -179.999

netCDF-4
CARVE: L1 In-situ Carbon and CH4 Flux and Meteorology at EC Towers, Alaska, 2011-2015 1 GROUND STATIONS ANEMOMETERS, THERMOMETERS, THERMOCOUPLES, LICOR GAS EXCHANGE SYSTEM 2011-05-30 to 2016-01-07

N: 71.3225 S: 68.4865 E: -155.748 W: -157.409

CSV
Climate Normals for Last Glacial Maximum and Modern (1975-2005), Alaska 1 COMPUTERS Computer 1000-01-01 to 2005-12-31

N: 74 S: 47.7384 E: -106.933 W: -178.236

GeoTIFF
CMS: Fire Weather Indices for Interior Alaska, 2001-2010 1 WEATHER STATIONS, MODELS AWS, Computer 2001-01-01 to 2010-09-18

N: 73.6633 S: 56.625 E: -131.805 W: -171.593

GeoTIFF
CMS: MODIS GPP, fPAR, and SST, and ENSO Index, Baja California, Mexico, 2000-2013 1 Terra MODIS 2000-01-01 to 2013-12-31

N: 32.6377 S: 22.7744 E: -108 W: -117

CSV
CMS-Flux-NA Fluxes and Aircraft CO2 Co-samples for 2018-2019 1 COMPUTERS Computer 2018-01-01 to 2019-12-31

N: 76.25 S: 13.75 E: -39.6875 W: -167.812

netCDF-4
CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019 1 SATELLITES, FIELD SURVEYS, COMPUTERS Sentinel-2 MSI, SENTINEL-1 C-SAR, WATER BOTTLES, Computer 2016-07-07 to 2019-07-07

N: 61.6781 S: 60.895 E: -162.073 W: -163.82

multiple
Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011 1 MODELS Computer 2006-01-01 to 2011-12-31

N: 48.9917 S: 20.3831 E: -56.6627 W: -135.028

multiple
Compendium of Environmental Sustainability Indicator Collections: 2004 Environmental Vulnerability Index (EVI) 2004.00 MODELS Computer 1973-01-01 to 2003-12-31

N: 90 S: -55 E: 180 W: -180

CSV, PDF, PDF, PNG
Compendium of Environmental Sustainability Indicator Collections: Complete Collection, Version 1.1 1.01 MODELS Computer 1973-01-01 to 2005-12-31

N: 90 S: -55 E: 180 W: -180

CSV, PDF
Compendium of Environmental Sustainability Indicator Collections: The Wellbeing of Nations 1.0 MODELS Computer 1990-01-01 to 2000-12-31

N: 90 S: -55 E: 180 W: -180

CSV, PDF, PDF, PNG
Configurable Scanning Submillimeter-wave Instrument / Radiometer (CoSSIR) IMPACTS version 2 2 NASA ER-2 COSSIR 2022-12-15 to 2023-03-02

N: 49.36 S: 26.395 E: -66.647 W: -124.202

netCDF-4
Configurable Scanning Submillimeter-wave Instrument/Radiometer (CoSSIR) ALOFT 1 NASA ER-2 COSSIR 2023-06-15 to 2023-07-29

N: 35.925 S: 10.321 E: -79.761 W: -119.334

netCDF-4
Delta-X: AirSWOT L2 Geocoded Water Surface Elevation, MRD, LA, 2021, V3 3 King Air AirSWOT 2021-03-26 to 2021-09-12

N: 29.86 S: 28.98 E: -90.21 W: -91.6

multiple
Delta-X: AirSWOT L2 Geocoded Water Surface Elevation, MRD, Louisiana, 2021 1 King Air AirSWOT 2021-03-26 to 2021-04-18

N: 29.86 S: 28.98 E: -90.21 W: -91.6

multiple
ECCO Global Mean Sea Level - Daily Mean (Version 4 Release 4) V4r4 MODELS, MITgcm 1992-01-01 to 2018-01-01

N: 90 S: -90 E: 180 W: -180

0.5 Decimal Degrees x 0.5 Decimal Degrees netCDF-4
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Climate Indicators Data Tools

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Tool Description Services
Earthdata Search Earthdata Search enables data discovery, search, comparison, visualization, and access across NASA’s Earth science data holdings. Search and Discovery, Access, Cataloging, Cloud Computing, Downloading
Panoply Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. Visualization, Customization, Reformatting, Subsetting, Comparison
SOTO State of the Ocean (SOTO) is an interactive web-based tool that generates informative maps, animations, and plots that communicate and prove the discovery and analysis of the state of the oceans. Analysis, Search and Discovery, Visualization
VEDA NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. Access, Analysis, Processing, Visualization, Geoprocessing
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