Abstract:
:We introduce the Precipitation Probability DISTribution (PPDIST) dataset, a collection of global high-resolution (0.1°) observation-based climatologies (1979-2018) of the occurrence and peak intensity of precipitation (P) at daily and 3-hourly time-scales. The climatologies were produced using neural networks trained with daily P observations from 93,138 gauges and hourly P observations (resampled to 3-hourly) from 11,881 gauges worldwide. Mean validation coefficient of determination (R2) values ranged from 0.76 to 0.80 for the daily P occurrence indices, and from 0.44 to 0.84 for the daily peak P intensity indices. The neural networks performed significantly better than current state-of-the-art reanalysis (ERA5) and satellite (IMERG) products for all P indices. Using a 0.1 mm 3 h-1 threshold, P was estimated to occur 12.2%, 7.4%, and 14.3% of the time, on average, over the global, land, and ocean domains, respectively. The highest P intensities were found over parts of Central America, India, and Southeast Asia, along the western equatorial coast of Africa, and in the intertropical convergence zone. The PPDIST dataset is available via www.gloh2o.org/ppdist .
journal_name
Sci Datajournal_title
Scientific dataauthors
Beck HE,Westra S,Tan J,Pappenberger F,Huffman GJ,McVicar TR,Gründemann GJ,Vergopolan N,Fowler HJ,Lewis E,Verbist K,Wood EFdoi
10.1038/s41597-020-00631-xsubject
Has Abstractpub_date
2020-09-11 00:00:00pages
302issue
1issn
2052-4463pii
10.1038/s41597-020-00631-xjournal_volume
7pub_type
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