A Global Gridded Dataset of the Characteristics of the Rainy And Dry Seasons Academic Article uri icon


  • AbstractThe 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), 19982015; Climate Prediction Center Unified Gauge-Based Analysis of Global Daily Precipitation (CPC_UNI), 1979present; and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), 1980present] 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.

published proceedings


altmetric score

  • 11.5

author list (cited authors)

  • Bombardi, R. J., Kinter, J., & Frauenfeld, O. W.

citation count

  • 38

complete list of authors

  • Bombardi, Rodrigo J||Kinter, James LIII||Frauenfeld, Oliver W

publication date

  • February 2019