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Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE

  • John Kochendorfer
  • , Rodica Nitu
  • , Mareile Wolff
  • , Eva Mekis
  • , Roy Rasmussen
  • , Bruce Baker
  • , Michael Earle
  • , Audrey Reverdin
  • , Kai Wong
  • , Craig D. Smith
  • , Daqing Yang
  • , Yves Alain Roulet
  • , Tilden Meyers
  • , Samuel Buisan
  • , Ketil Isaksen
  • , Ragnar Brækkan
  • , Scott Landolt
  • , Al Jachcik
  • National Oceanic and Atmospheric Administration
  • Université Laval and Environment and Climate Change Canada
  • United Nations
  • Norwegian Meteorological Institute
  • National Center for Atmospheric Research
  • Now at Federal Office of Meteorology and Climatology MeteoSwiss
  • Delegación Territorial de AEMET en Aragón

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Weighing precipitation gauges are used widely for the measurement of all forms of precipitation, and are typically more accurate than tipping-bucket precipitation gauges. This is especially true for the measurement of solid precipitation; however, weighing precipitation gauge measurements must still be adjusted for undercatch in snowy, windy conditions. In WMO-SPICE (World Meteorological Organization Solid Precipitation InterComparison Experiment), different types of weighing precipitation gauges and shields were compared, and adjustments were determined for the undercatch of solid precipitation caused by wind. For the various combinations of gauges and shields, adjustments using both new and previously existing transfer functions were evaluated. For most of the gauge and shield combinations, previously derived transfer functions were found to perform as well as those more recently derived. This indicates that wind shield type (or lack thereof) is more important in determining the magnitude of wind-induced undercatch than the type of weighing precipitation gauge. It also demonstrates the potential for widespread use of the previously developed transfer functions. Another overarching result was that, in general, the more effective shields, which were associated with smaller unadjusted errors, also produced more accurate measurements after adjustment. This indicates that although transfer functions can effectively reduce measurement biases, effective wind shielding is still required for the most accurate measurement of solid precipitation.

Original languageEnglish
Pages (from-to)1437-1452
Number of pages16
JournalHydrology and Earth System Sciences
Volume22
Issue number2
DOIs
StatePublished - Feb 27 2018
Externally publishedYes

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