Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/11182
Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE
Title: Testing and development of transfer functions for weighing precipitation gauges in WMO-SPICE
Authors: Kochendorfer, JohnNitu, RodicaWolff, MareileMekis, EvaRasmussen, RoyBaker, BruceEarle, Michael E.Reverdin, AudreyWong, KaiSmith, Craig D.Yang, DaqingRoulet, Yves-AlainMeyers, TildenBuisán, Samuel ORCID RESEARCHERID SCOPUSID Autor AEMETIsaksen, KetilBrækkan, RagnarLandolt, ScottJachcik, Al
Keywords: Precipitation measurements; Spatial variability; Gauge; Precipitation
Issue Date: 2018
Publisher: European Geosciences Union
Citation: Hydrology and Earth System Sciences. 2018, 22(2), p. 1437–1452
Publisher version: https://dx.doi.org/10.5194/hess-22-1437-2018
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.
URI: http://hdl.handle.net/20.500.11765/11182
ISSN: 1027-5606
1607-7938
Appears in Collections:Artículos científicos 2015-2018


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