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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 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
Worldview Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events
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Climate Indicators Datasets

Dataset Platforms Instruments Temporal Extent Location Keywords Spatial Extent Data Format
IPCC Fourth Assessment Report (AR4) Observed Climate Change Impacts Database MODELS Computer 1970-01-01 to 2014-12-31 AFRICA, ASIA, AUSTRALIA, EUROPE, GLOBAL N: 90 S: -90 E: 180 W: -180 Excel, WMS
ISLSCP II Global Sea Ice Concentration COMPUTERS, Nimbus-7, DMSP Computer, SMMR, SSM/I 1986-01-01 to 1995-12-31 GLOBAL N: 90 S: -90 E: 180 W: -180 Shapefile
LBA-ECO CD-05 Soil VWC and Meteorology, Rainfall Exclusion, Tapajos National Forest 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 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) 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 COMPUTERS Computer 2001-01-01 to 2020-12-31 ARCTIC N: 90 S: 33.68 E: 180 W: -180 multiple
Methane Fluxes from Shorelines and Differing Surfaces, Big Trail Lake, Alaska, 2019 FIELD SURVEYS GAS SENSORS 2019-07-04 to 2019-12-14 ALASKA N: 64.9208 S: 64.9171 E: -147.818 W: -147.825 CSV
MODIS-derived Annual Vegetation Resilience, 2000-2019 MODELS, Terra Computer, MODIS 2000-01-01 to 2019-12-31 ALASKA, CANADA N: 76.2257 S: 50.259 E: -98.9735 W: -170.006 COG
MODIS/Terra+Aqua BRDF Model Parameters Daily L3 Global 1km SIN Grid V061 Terra, Aqua MODIS 2000-02-24 to Present GLOBAL N: 90 S: -90 E: 180 W: -180 HDF-EOS2
MODIS/Terra+Aqua Land Surface BRF Daily L2G Global 500m, 1km and 10km SIN Grid V006 Terra, Aqua MODIS 2000-02-26 to 2023-02-17 GLOBAL N: 90 S: -90 E: 180 W: -180 HDF-EOS2
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