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 Data Access and Tools
Climate Indicators Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| High Mountain Asia TRMM-derived 3B42 Extreme Precipitation Indices V001 | 1 | TRMM | NOT APPLICABLE | 1999-01-01 to 2017-12-31 |
N: 50 S: -50 E: 180 W: -180 |
GeoTIFF | |
| High-Impact Weather Assessment Toolkit (HIWAT) | 1 | COMPUTERS | Computer | 2017-04-02 to 2022-10-02 |
N: 45.951 S: 10.632 E: 111.438 W: 60.562 |
netCDF-3 | |
| IceBridge ARES L2 Bed Elevation and Ice Thickness V001 | 1 | DHC-3 | RADAR ECHO SOUNDERS | 2016-05-28 to 2021-05-13 |
N: 63 S: 56 E: -129 W: -157 |
ASCII | |
| IceBridge ATM L1B Elevation and Return Strength V002 | 2 | C-130, DC-8, G-V, HU-25A, HU-25C, P-3B, WP-3D ORION | ATM | 2013-03-20 to 2019-11-20 |
N: 90 S: 60 E: 180 W: -180 N: -53 S: -90 E: 180 W: -180 |
HDF5 | |
| IceBridge ATM L2 Icessn Elevation, Slope, and Roughness V002 | 2 | C-130, DC-8, G-V, HU-25A, HU-25C, P-3B, WP-3D ORION | ATM | 2009-03-31 to 2019-11-20 |
N: 90 S: 60 E: 180 W: -180 N: -53 S: -90 E: 180 W: -180 |
ASCII | |
| IceBridge BedMachine Greenland V003 | 3 | DC-8, P-3B | MCoRDS | 1993-01-01 to 2016-12-31 |
N: 90 S: 60 E: 10 W: -80 |
150 Meters x 150 Meters | netCDF-4 |
| IceBridge BedMachine Greenland V004 | 4 | DC-8, P-3B | MCoRDS | 1993-01-01 to 2020-10-01 |
N: 90 S: 60 E: 10 W: -80 |
150 Meters x 150 Meters | netCDF-4 |
| IceBridge BedMachine Greenland V005 | 5 | NASA DC-8, P-3B | MCoRDS | 1993-01-01 to 2021-12-31 |
N: 90 S: 60 E: 10 W: -80 |
150 Meters x 150 Meters | netCDF-4, GeoTIFF |
| IceBridge BedMachine Greenland V006 | 6 | NASA DC-8, P-3B | MCoRDS | 1993-01-01 to 2021-12-31 |
N: 84 S: 59 E: 9 W: -90 |
150 Meters x 150 Meters | netCDF-4, GeoTIFF |
| IceBridge Narrow Swath ATM L1B Elevation and Return Strength V002 | 2 | C-130, DC-8, G-V, HU-25C, P-3B | ATM | 2013-03-20 to 2019-11-20 |
N: -53 S: -90 E: 180 W: -180 N: 90 S: 60 E: 180 W: -180 |
2 Meters x 2 Meters | HDF5 |
| IceBridge Preliminary ATM L1B Elevation and Return Strength V001 | 1 | C-130, DC-8, HU-25A, HU-25C, P-3B, WP-3D ORION | ATM | 2019-04-08 to 2019-04-22 |
N: 90 S: 60 E: 180 W: -180 |
HDF5 | |
| IceBridge Radar L3 Tomographic Ice Thickness V002 | 2 | DC-8, P-3B | MCoRDS | 2010-11-20 to 2013-04-20 |
N: 83 S: 59 E: -12 W: -74 N: -63 S: -90 E: 180 W: -180 |
25 Meters x 25 Meters | netCDF-4 |
| IceBridge UAF L2 HF Bed Elevation and Ice Thickness V001 | 1 | DHC-3 | RADAR ECHO SOUNDERS | 2013-03-22 to 2016-08-16 |
N: 63 S: 56 E: -129 W: -157 |
ASCII | |
| ICESat-2 L4 Monthly Gridded Sea Ice Thickness V003 | 3 | ICESat-2, MODELS | ATLAS, NOT APPLICABLE | 2018-11-01 to 2024-04-30 |
N: 88 S: 30 E: 180 W: -180 |
25 Kilometers x 25 Kilometers | netCDF-4 |
| ICESat-2 L4 Monthly Gridded Sea Ice Thickness V004 | 4 | ICESat-2, MODELS | ATLAS, NOT APPLICABLE | 2018-11-01 to 2026-04-30 |
N: 88 S: 30 E: 180 W: -180 |
25 Kilometers x 25 Kilometers | netCDF-4 |
| IPCC Fifth Assessment Report (AR5) Observed Climate Change Impacts Database, Version 2.01 | 2.01 | MODELS | Computer | 2007-01-01 to 2014-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Excel | |
| IPCC Fourth Assessment Report (AR4) Observed Climate Change Impacts Database | 1.0 | MODELS | Computer | 1970-01-01 to 2014-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Excel, WMS | |
| ISLSCP II Global Sea Ice Concentration | 1 | COMPUTERS, Nimbus-7, DMSP | Computer, SMMR, SSM/I | 1986-01-01 to 1995-12-31 |
N: 90 S: -90 E: 180 W: -180 |
Shapefile | |
| LBA-ECO CD-05 Soil VWC and Meteorology, Rainfall Exclusion, Tapajos National Forest | 1 | GROUND STATIONS, FIELD INVESTIGATION | HUMIDITY SENSORS, RAIN GAUGES, TDR | 1999-01-01 to 2007-04-20 |
N: -2.75 S: -2.75 E: -55 W: -55 |
CSV | |
| LBA-ECO LC-14 Root Biomass and Phenology, km 67 Site, Para, Brazil: 2001 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2000-07-25 to 2004-02-29 |
N: -2.857 S: -2.857 E: -54.959 W: -54.959 |
CSV | |
| Lund-Potsdam-Jena Wetland Hydrology and Methane DGV Model (LPJ-WHyMe v1.3.1) | 1 | NOT APPLICABLE | NOT APPLICABLE | 1972-01-01 to 2010-10-15 |
N: 90 S: -60 E: 180 W: -180 |
multiple | |
| Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020 | 1 | COMPUTERS | Computer | 2001-01-01 to 2020-12-31 |
N: 90 S: 33.68 E: 180 W: -180 |
multiple | |
| MEaSUREs BedMachine Antarctica V001 | 1 | MODELS | NOT APPLICABLE | 1970-01-01 to 2019-10-01 |
N: -53 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | netCDF-4 |
| MEaSUREs BedMachine Antarctica V002 | 2 | MODELS | NOT APPLICABLE | 1970-01-01 to 2019-10-01 |
N: -53 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | netCDF-4 |
| MEaSUREs BedMachine Antarctica V003 | 3 | MODELS | NOT APPLICABLE | 1970-01-01 to 2019-10-01 |
N: -53 S: -90 E: 180 W: -180 |
500 Meters x 500 Meters | netCDF-4 |
Climate Indicators Data Tools
| Tool Sort descending | 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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