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MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
The JPL Tropical Cyclone Information System (TCIS) was developed to support hurricane research. There are three components to TCIS; a global archive of multi-satellite hurricane observations 1999-2010 (Tropical Cyclone Data Archive), North Atlantic Hurricane Watch and ASA Convective Processes Experiment (CPEX) aircraft campaign. Together, data and visualizations from the real time system and data archive can be used to study hurricane process, validate and improve models, and assist in developing new algorithms and data assimilation techniques.
The IRI/LDEO Climate Data Library is a collection of climate data sets with the focus of climate change monitoring and mitigation. Browse data by category and source, navigate and analyze datasets using maps, and the Ingrid Data Analysis Language. The IRI/LDEO also includes web tutorials.
Using a combination of remote sensing data and ground observations as inputs, CHC scientists have developed rainfall estimation techniques and other resources to support drought monitoring and predict crop performance in parts of the world vulnerable to crop failure. Policymakers within governments and non-governmental organizations rely on CHC decision-support products to make critical resource allocation decisions. The CHC's scientific focus is "geospatial hydroclimatology," with an emphasis on the early detection and forecasting of hydroclimatic hazards related to food-security droughts and floods. Basic research seeks an improved understanding of the climatic processes that govern drought and flood hazards in FEWS NET countries (https://fews.net/). The CHC develops better techniques, algorithms, and modeling applications in order to use remote sensing and other geospatial data for hazards early warning.
Argo is an international programme using autonomous floats to collect temperature, salinity and current data in the ice-free oceans. It is teamed with the Jason ocean satellite series. Argo will soon reach its target of 3000 floats delivering data within 24 hours to researchers and operational centres worldwide. 23 countries contribute floats to Argo and many others help with float deployments. Argo has revolutionized the collection of information from inside the oceans. ARGO Project is organized in regional and national Centers with a Project Office, an Information Center (AIC) and 2 Global Data Centers (GDAC), at the United States and at France. Each DAC submits regularly all its new files to both USGODAE and Coriolis GDACs.The whole Argo data set is available in real time and delayed mode from the global data centres (GDACs). The internet addresses are: https://nrlgodae1.nrlmry.navy.mil/ and http://www.argodatamgt.org