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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.
Table of contents
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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