Dataset Information

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 .

SUBMITTER: Beck HE

PROVIDER: S-EPMC7486373 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Beck Hylke E HE Westra Seth S Tan Jackson J Pappenberger Florian F Huffman George J GJ McVicar Tim R TR Gründemann Gaby J GJ Vergopolan Noemi N Fowler Hayley J HJ Lewis Elizabeth E Verbist Koen K Wood Eric F EF

Scientific data 20200911 1

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 (R<sup>2</s ...[more]

PMID: 32917890

Similar Datasets

Project description:BackgroundPhysician time is a valuable yet finite resource. Whether such time is apportioned equitably among population subgroups, and how the provision of that time has changed in recent decades, is unclear.ObjectiveTo investigate trends and racial/ethnic disparities in the receipt of annual face time with physicians in the USA.DesignRepeated cross-sectional.SettingNational Ambulatory Medical Care Survey, 1979-1981, 1985, 1989-2016, 2018.ParticipantsOffice-based physicians.MeasuresExposures included race/ethnicity (White, Black, and Hispanic); age (<18, 18-64, and 65+); and survey year. Our main outcome was patients' annual visit face time with a physician; secondary outcomes include annual visit rates and mean visit duration.ResultsOur sample included n=1,108,835 patient visits. From 1979 to 2018, annual outpatient physician face time per capita rose from 40.0 to 60.4 min, an increase driven by a rise in mean visit length and not in the number of visits. However, since 2005, mean annual face time with a primary care physician has fallen, a decline offset by rising time with specialists. Face time provided per physician changed little given growth in the physician workforce. A racial/ethnic gap in physician visit time present at the beginning of the study period widened over time. In 2014-2018, White individuals received 70.0 min of physician face time per year, vs. 52.4 among Black and 53.0 among Hispanic individuals. This disparity was driven by differences in visit rates, not mean visit length, and in the provision of specialist but not primary care.LimitationSelf-reported visit length.ConclusionAmericans' annual face time with office-based physicians rose for three decades after 1979, yet is still allocated inequitably, particularly by specialists; meanwhile, time spent by Americans with primary care physicians is falling. These trends and disparities may adversely affect patient outcomes. Policy change is needed to assure better allocation of this resource.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets