Abstract

Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology over vast, data-sparse oceans and remote continents. Since the first weather satellite was launched by NASA in 1960, a large collection of NASA’s Earth science data is freely available to the research and application communities around the world, significantly improving our overall understanding of the Earth system and environment. Established in the mid-1980s, the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), located in Maryland, USA, is a data archive center for multidisciplinary, satellite and model assimilation data products. As one of the 12 NASA data centers in Earth sciences, GES DISC hosts several important NASA satellite missions for tropical meteorology and climatology such as the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM) Mission and the Modern-Era Retrospective analysis for Research and Applications (MERRA). Over the years, GES DISC has developed data services to facilitate data discovery, access, distribution, analysis and visualization, including Giovanni, an online analysis and visualization tool without the need to download data and software. Despite many efforts for improving data access, a significant number of challenges remain, such as finding datasets and services for a specific research topic or project, especially for inexperienced users or users outside the remote sensing community. In this article, we list and describe major NASA satellite remote sensing and model datasets and services for tropical meteorology and climatology along with examples of using the data and services, so this may help users better utilize the information in their research and applications.

Highlights

  • Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology, ranging from case studies to model development, over vast, data-sparse oceans and remote continents

  • Since the first weather satellite was launched by NASA in 1960 [1], a large amount of Earth science data have been collected by NASA and distributed to the research, application and operation communities around the world, free of charge, significantly improving our overall understanding of the Earth system and environment, in the tropics and in the rest of the Earth [2,3]

  • NASA Earth science datasets are categorized into four levels [39]: (1) Level-0 datasets are reconstructed, unprocessed instrument and payload data at full resolution, with the removal of any and all communications artifacts, e.g., synchronization frames, communications headers, and duplicate data; Level-1 datasets are reconstructed, unprocessed instrument data at full resolution, time-referenced, and annotated with ancillary information; (2) Level-2 datasets are derived geophysical variables at the same resolution and location as Level-1 source data; (3) Level-3 datasets consist of variables mapped on uniform space-time grid scales, usually with some completeness and consistency; and (4) Level-4 are the model output or results from the analyses of lower-level data

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Summary

Introduction

Satellite remote sensing and model data play an important role in research and applications of tropical meteorology and climatology, ranging from case studies to model development, over vast, data-sparse oceans and remote continents. GES DISC hosts data products from several important NASA satellite missions for tropical meteorology and climatology, as well as data assimilation projects such as the Tropical Rainfall Measuring Mission (TRMM) [10,11,12,13,14], the Global Precipitation Measurement (GPM) Mission [15,16,17,18] and the Modern-Era Retrospective analysis for Research and Applications (MERRA) [19]. Single image or animation can be made with this dataset to track weather events in the data domain [33]

MERRA-2 and Global and Regional Land Data Assimilation Projects
TROPICS
Datasets for Tropical Meteorology and Climatology
Dataset and Information Search
Giovanni
Panoply
An MJO Event during October and November 2011
Monthly and Seasonal Averages
Summary
Future Plans
Full Text
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