PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979-2018.

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 Data

journal_title

Scientific data

authors

Beck HE,Westra S,Tan J,Pappenberger F,Huffman GJ,McVicar TR,Gründemann GJ,Vergopolan N,Fowler HJ,Lewis E,Verbist K,Wood EF

doi

10.1038/s41597-020-00631-x

subject

Has Abstract

pub_date

2020-09-11 00:00:00

pages

302

issue

1

issn

2052-4463

pii

10.1038/s41597-020-00631-x

journal_volume

7

pub_type

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