Literature DB >> 30008481

So, how much of the Earth's surface is covered by rain gauges?

Chris Kidd1, Andreas Becker2, George J Huffman3, Catherine L Muller4, Paul Joe5, Gail Skofronick-Jackson3, Dalia B Kirschbaum3.   

Abstract

The measurement of global precipitation, both rainfall and snowfall, is critical to a wide range of users and applications. Rain gauges are indispensable in the measurement of precipitation, remaining the de facto standard for precipitation information across the Earth's surface for hydro-meteorological purposes. However, their distribution across the globe is limited: over land their distribution and density is variable, while over oceans very few gauges exist and where measurements are made, they may not adequately reflect the rainfall amounts of the broader area. Critically, the number of gauges available, or appropriate for a particular study, varies greatly across the Earth due to temporal sampling resolutions, periods of operation, data latency and data access. Numbers of gauges range from a few thousand available in near real time, to about a hundred thousand for all 'official' gauges, and to possibly hundreds of thousands if all possible gauges are included. Gauges routinely used in the generation of global precipitation products cover an equivalent area of between about 250 m2 and 3,000 m2. For comparison, the center circle of a soccer pitch or tennis court is about 260 m2. Although each gauge should represent more than just the gauge orifice, auto-correlation distances of precipitation vary greatly with regime and the integration period. Assuming each Global Precipitation Climatology Centre (GPCC) -available gauge is independent and represents a surrounding area of 5 km radius, this represents only about 1% of the Earth's surface. The situation is further confounded for snowfall which has a greater measurement uncertainty.

Year:  2017        PMID: 30008481      PMCID: PMC6039978          DOI: 10.1175/BAMS-D-14-00283.1

Source DB:  PubMed          Journal:  Bull Am Meteorol Soc        ISSN: 0003-0007            Impact factor:   8.766


  1 in total

1.  Country-wide rainfall maps from cellular communication networks.

Authors:  Aart Overeem; Hidde Leijnse; Remko Uijlenhoet
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

  1 in total
  10 in total

1.  River flow prediction in data scarce regions: soil moisture integrated satellite rainfall products outperform rain gauge observations in West Africa.

Authors:  Luca Brocca; Christian Massari; Thierry Pellarin; Paolo Filippucci; Luca Ciabatta; Stefania Camici; Yann H Kerr; Diego Fernández-Prieto
Journal:  Sci Rep       Date:  2020-07-27       Impact factor: 4.379

2.  Incorporation of Satellite Precipitation Uncertainty in a Landslide Hazard Nowcasting System.

Authors:  Samantha H Hartke; Daniel B Wright; Dalia B Kirschbaum; Thomas A Stanley; Zhe Li
Journal:  J Hydrometeorol       Date:  2020-07-29       Impact factor: 4.349

3.  Satellite Estimation of Falling Snow: A Global Precipitation Measurement (GPM) Core Observatory Perspective.

Authors:  Gail Skofronick-Jackson; Mark Kulie; Lisa Milani; Stephen J Munchak; Norman B Wood; Vincenzo Levizzani
Journal:  J Appl Meteorol Climatol       Date:  2019-06-24       Impact factor: 2.923

4.  Is precipitation a good metric for model performance?

Authors:  Francisco J Tapiador; Rémy Roca; Anthony Del Genio; Boris Dewitte; Walt Petersen; Fuqing Zhang
Journal:  Bull Am Meteorol Soc       Date:  2019-03-14       Impact factor: 8.766

5.  An EnKF-based method to produce rainfall maps from simulated satellite-to-ground MW-link signal attenuation.

Authors:  Alberto Ortolani; Francesca Caparrini; Samantha Melani; Luca Baldini; Filippo Giannetti
Journal:  J Hydrometeorol       Date:  2021-05-13       Impact factor: 4.349

6.  High-resolution monthly precipitation and temperature time series from 2006 to 2100.

Authors:  Dirk Nikolaus Karger; Dirk R Schmatz; Gabriel Dettling; Niklaus E Zimmermann
Journal:  Sci Data       Date:  2020-07-23       Impact factor: 6.444

7.  Rare ground data confirm significant warming and drying in western equatorial Africa.

Authors:  Emma R Bush; Kathryn Jeffery; Nils Bunnefeld; Caroline Tutin; Ruth Musgrave; Ghislain Moussavou; Vianet Mihindou; Yadvinder Malhi; David Lehmann; Josué Edzang Ndong; Loïc Makaga; Katharine Abernethy
Journal:  PeerJ       Date:  2020-04-14       Impact factor: 2.984

8.  Evaluation of the TRMM product for monitoring drought over Paraíba State, northeastern Brazil: a trend analysis.

Authors:  Reginaldo Moura Brasil Neto; Celso Augusto Guimarães Santos; Jorge Flávio Casé Braga da Costa Silva; Richarde Marques da Silva; Carlos Antonio Costa Dos Santos; Manoranjan Mishra
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

9.  Global daily 1 km land surface precipitation based on cloud cover-informed downscaling.

Authors:  Dirk Nikolaus Karger; Adam M Wilson; Colin Mahony; Niklaus E Zimmermann; Walter Jetz
Journal:  Sci Data       Date:  2021-11-26       Impact factor: 6.444

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

Authors:  Hylke E Beck; Seth Westra; Jackson Tan; Florian Pappenberger; George J Huffman; Tim R McVicar; Gaby J Gründemann; Noemi Vergopolan; Hayley J Fowler; Elizabeth Lewis; Koen Verbist; Eric F Wood
Journal:  Sci Data       Date:  2020-09-11       Impact factor: 6.444

  10 in total

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