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A Global Gridded Dataset of the Characteristics of the Rainy And Dry Seasons

Authors :
James L. Kinter
Rodrigo J. Bombardi
Oliver W. Frauenfeld
Source :
Bulletin of the American Meteorological Society. 100:1315-1328
Publication Year :
2019
Publisher :
American Meteorological Society, 2019.

Abstract

The Rainy and Dry Seasons (RADS) dataset, a new compilation of precipitation statistics available to the public, is described. The dataset contains the dates of onset and demise of the rainy season (one date per year), the duration of the rainy and dry seasons, and the accumulated precipitation during the rainy and dry seasons. The methodology for detecting the characteristics of the rainy season is based solely on precipitation data. RADS was developed from multiple global gridded daily precipitation datasets [Tropical Rainfall Measuring Mission (TRMM), 1998–2015; Climate Prediction Center Unified Gauge-Based Analysis of Global Daily Precipitation (CPC_UNI), 1979–present; and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), 1980–present] and therefore shares the spatial resolution, temporal range, and limitations of the original precipitation datasets. This is the first free public dataset of the characteristics of the rainy and dry seasons created using a consistent methodology across the globe, including all major monsoonal regions. We expect that the RADS dataset will contribute to our understanding of the sources of variability of the timing of rainy seasons (on local to regional scales) and monsoons (on large scales) and their impacts on water resource management and other aspects of geosciences and human activities.

Details

ISSN :
15200477 and 00030007
Volume :
100
Database :
OpenAIRE
Journal :
Bulletin of the American Meteorological Society
Accession number :
edsair.doi...........d505002b9dfc895699ac5de1473828a6
Full Text :
https://doi.org/10.1175/bams-d-18-0177.1