We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
PPDIST, global 0.1° daily and 3-hourly precipitation probability distribution climatologies for 1979–2018.
- Authors
Beck, Hylke E.; Westra, Seth; Tan, Jackson; Pappenberger, Florian; Huffman, George J.; McVicar, Tim R.; Gründemann, Gaby J.; Vergopolan, Noemi; Fowler, Hayley J.; Lewis, Elizabeth; Verbist, Koen; Wood, Eric F.
- 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. Measurement(s) hydrological precipitation process • precipitation occurrence • precipitation intensity Technology Type(s) Neural networks models • Gauge or Meter Device • satellite imaging of a planet • reanalyses Factor Type(s) daily and 3-hourly time-scales • year of data collection Sample Characteristic - Environment climate system Sample Characteristic - Location Earth (planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12815585
- Subjects
PRECIPITIN reaction; CLIMATOLOGY; CONVERGENT evolution; NEURAL circuitry; METADATA
- Publication
Scientific Data, 2020, Vol 7, Issue 1, pN.PAG
- ISSN
2052-4463
- Publication type
Article
- DOI
10.1038/s41597-020-00631-x