Journal article
On the Robustness of Annual Daily Precipitation Maxima Estimates Over Monsoon Asia
Phuong-Loan Nguyen, Margot Bador, Lisa V Alexander, Todd P Lane, Chris C Funk
Frontiers in Climate | Frontiers Media SA | Published : 2020
Abstract
Understanding precipitation extremes over Monsoon Asia is vital for water resource management and hazard mitigation, but there are many gaps and uncertainties in observations in this region. To better understand observational uncertainties, this study uses a high-resolution validation dataset to assess the consistency of the representation of annual daily precipitation maxima (Rx1day) over land in 13 observational datasets from the Frequent Rainfall Observations on Grids (FROGS) database. The FROGS datasets are grouped into three categories: in situ-based and satellite-based with and without corrections to rain gauges. We also look at three sub-regions: Japan, India, and the Maritime Contine..
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Grants
Awarded by National Aeronautics and Space Administration
Funding Acknowledgements
P-LN, LA, and MB are supported by the Australian Research Council (ARC) grant DP160103439. P-LN and TL are supported by the ARC grant CE170100023. CF has been supported by the US Geological Survey Drivers of Drought project and NASA GPM grant 80NSSC19K0686. Information about the datasets provided by FROGS are given here https://data.ipsl.fr/ and the data are freely available from ftp://ftp.climserv.ipsl.polytechnique.fr/FROGs/. Indices were calculated using ClimPACTv2 software (https://climpact-sci.org/get-started/). All analyses and graphics have been performed using Climate Data Operator (CDO) and Python.