We are in the process of migrating all NASA Earth science data sites into Earthdata from now until end of 2026. Not all NASA Earth science data and resources will appear here until then. Thank you for your patience as we make this transition.
Read about the Web Unification Project
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
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 2022 Environmental Performance Index (EPI) | 2022.00 | MODELS | Computer | 1950-01-01 to 2022-12-31 |
N: 90 S: -55 E: 180 W: -180 |
CSV, Excel, PDF, PNG | |
| ABoVE: Active Layer Thickness from Airborne L- and P- band SAR, Alaska, 2017, Ver. 3 | 3 | GULFSTREAM 1000 (695A) | UAVSAR | 2017-06-19 to 2017-09-16 |
N: 71.5212 S: 57.8294 E: -110.418 W: -166.733 |
multiple | |
| ABoVE: Aerial Photographs of Frozen Lakes near Fairbanks, Alaska, October 2014 | 1 | Airplane | MULTI-SPECTRAL | 2014-10-08 to 2014-10-08 |
N: 64.9392 S: 64.8589 E: -147.758 W: -147.949 |
GeoTIFF | |
| ABoVE: Angular-corrected MODIS MAIAC Reflectance across Alaska and Canada, 2000-2017 | 1 | Terra, Aqua | MODIS | 2000-02-24 to 2017-12-31 |
N: 80.8064 S: 44.1164 E: 180 W: -180 |
HDF4 | |
| ABoVE: Climate Drivers of Pan-Arctic Tundra Vegetation Productivity, 1982-2015 | 1 | NOAA POES, DMSP | SSM/I, AVHRR | 1982-01-01 to 2015-12-31 |
N: 90 S: 70 E: 180 W: -180 |
CSV | |
| ABoVE: Dall Sheep Lamb Recruitment and Climate Data, Alaska and NW Canada, 2000-2015 | 1 | Airplane, SATELLITES, FIELD SURVEYS | VISUAL OBSERVATIONS, MODIS | 2000-01-01 to 2015-12-31 |
N: 69.7074 S: 59.5978 E: -123.547 W: -163.281 |
multiple | |
| ABoVE: Environmental Conditions and Subsistence Resource Access, Alaska, 2016-2017 | 1 | FIELD SURVEYS | VISUAL OBSERVATIONS, CAMERA | 2016-02-15 to 2017-06-22 |
N: 67.0834 S: 61.7 E: -141.267 W: -160.72 |
CSV | |
| ABoVE: Environmental Conditions During Fall Moose Hunting Seasons, Alaska, 2000-2016 | 1 | GROUND STATIONS, Terra, METEOROLOGICAL STATIONS, Aqua | WATER LEVEL GAUGES, MODIS, THERMOMETERS | 2000-01-01 to 2016-12-31 |
N: 64.9322 S: 64.5525 E: -156.665 W: -158.533 |
CSV | |
| ABoVE: Ice Fraction of Small Water Bodies in the Arctic Coastal Plain, 2017-2023 | 1 | Sentinel-2B, Sentinel-1B, Sentinel-2A, Sentinel-1A | Sentinel-2 MSI, SENTINEL-1 C-SAR | 2017-01-05 to 2023-12-28 |
N: 71.356 S: 68.8998 E: -140.188 W: -164.431 |
COG | |
| ABoVE: Lake Growing Season Green Surface Reflectance Trends, AK and Canada, 1984-2019 | 1 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | TM, ETM+, OLI | 1984-07-01 to 2019-09-01 |
N: 74.9995 S: 49.545 E: -81.2261 W: -168.103 |
Text File | |
| ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 | 1 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | TM, ETM+, OLI, TIRS | 1985-01-01 to 2019-12-31 |
N: 72 S: 45 E: 180 W: -180 |
multiple | |
| ABoVE: Last Day of Spring Snow, Alaska, USA, and Yukon Territory, Canada, 2000-2016 | 1 | Terra | MODIS | 2000-04-01 to 2016-07-02 |
N: 68.9658 S: 52.1694 E: -97.9489 W: -175.762 |
GeoTIFF | |
| ABoVE: Level-4 WRF-STILT Footprint Files for Circumpolar Receptors, 2016-2019 | 1 | OCO-2, MODELS, WRF | OCO-2, Computer | 2016-07-24 to 2019-12-31 |
N: 90 S: 30 E: 180 W: -180 |
netCDF-4 | |
| ABoVE: Level-4 WRF-STILT Particle Trajectories for Circumpolar Receptors, 2016-2019 | 1 | WRF, COMPUTERS, OCO-2 | Computer, OCO-2 | 2016-07-24 to 2019-12-31 |
N: 90 S: 10 E: 180 W: -180 |
netCDF-4 | |
| ABoVE: Light-Curve Modelling of Gridded GPP Using MODIS MAIAC and Flux Tower Data | 1 | Terra, MODELS, METEOROLOGICAL STATIONS, Aqua | MODIS, Computer, MMS | 2000-01-01 to 2018-01-01 |
N: 79.7489 S: 50.0604 E: -73.6407 W: -172.078 |
HDF4 | |
| ABoVE: Methane Ebullition Hotspots in Frozen Lakes near Fairbanks, Alaska, Oct 2014 | 1 | FIELD SURVEYS, Airplane | GPS, CAMERAS | 2014-10-08 to 2014-10-08 |
N: 64.9368 S: 64.863 E: -147.769 W: -147.939 |
Shapefile | |
| ABoVE: Passive Microwave-derived Annual Snow Melt Duration Date Maps, 1988-2018 | 1.1 | Nimbus-7, DMSP 5D-2/F10, Aqua, DMSP | SMMR, SSMIS, AMSR-E, SSM | 1988-02-09 to 2018-07-20 |
N: 72.41 S: 51.6 E: -107.833 W: -180 |
multiple | |
| ABoVE: Passive Microwave-derived Annual Snowpack Main Melt Onset Date Maps, 1988-2023 | 1.0 | DMSP 5D-2/F10, Aqua, Nimbus, DMSP | SSMIS, AMSR-E, SMMR, SSM | 1988-02-09 to 2023-07-20 |
N: 72.4085 S: 51.6089 E: -107.83 W: -180 |
multiple | |
| ABoVE: River Ice Breakup and Freeze-up Stages, Yukon River Basin, Alaska, 1972-2016 | 1 | LANDSAT, LANDSAT-7, LANDSAT-8 | MSS, TM, ETM+, OLI | 1972-11-04 to 2016-11-30 |
N: 66.3594 S: 62.9036 E: -142.986 W: -160.065 |
CSV | |
| ABoVE: Wolf Denning Phenology and Reproductive Success, Alaska and Canada, 2000-2017 | 1 | FIELD SURVEYS, MODELS, Terra | GPS, Computer, MODIS | 2000-03-29 to 2017-08-31 |
N: 67.8362 S: 52.9705 E: -112.967 W: -154.581 |
CSV | |
| ABoVE: Year-Round Soil CO2 Efflux in Alaskan Ecosystems, Version 2.1 | 2.1 | FIELD SURVEYS | SURVEYING TOOLS, Campbell Scientific CR800, THERMOCOUPLES | 2016-08-18 to 2023-09-02 |
N: 70.47 S: 63.8801 E: -146.558 W: -157.41 |
CSV | |
| ACCLIP WB-57 Aircraft In-situ Cloud Data | 1 | NASA WB-57F | CAPS | 2022-07-14 to 2022-09-15 | ICARTT | ||
| ACCLIP WB-57 Aircraft Merge Data | 1 | NASA WB-57F | Computer | 2022-07-16 to 2022-09-14 |
N: 61.5 S: 16.6 E: 180 W: -180 |
ICARTT | |
| 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 |
Climate Indicators Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| 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 |
SHOWING 3 OF 3
Frequently Asked Questions
Earthdata Forum
Our online forum provides a space for users to browse thousands of FAQs about research needs, data, and data applications. You can also submit new questions for our experts to answer.
Submit Questions to Earthdata Forumand View Expert Responses