How Well Are We Measuring Snow Post-SPICE?

Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded precipitation products, the verification of model simulations, driving hydrologic models, input into aircraft deicing processes, and estimating streamf...

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Vydané v:Bulletin of the American Meteorological Society Ročník 103; číslo 2; s. E370 - E388
Hlavní autori: Kochendorfer, John, Earle, Michael, Rasmussen, Roy, Smith, Craig, Yang, Daqing, Morin, Samuel, Mekis, Eva, Buisan, Samuel, Roulet, Yves-Alain, Landolt, Scott, Wolff, Mareile, Hoover, Jeffery, Thériault, Julie M., Lee, Gyuwon, Baker, Bruce, Nitu, Rodica, Lanza, Luca, Colli, Matteo, Meyers, Tilden
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Boston American Meteorological Society 01.02.2022
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ISSN:0003-0007, 1520-0477
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Abstract Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded precipitation products, the verification of model simulations, driving hydrologic models, input into aircraft deicing processes, and estimating streamflow runoff in the spring. These applications are significantly impacted by errors in solid precipitation measurements. The recent WMO Solid Precipitation Intercomparison Experiment (SPICE) attempted to characterize and reduce some of the measurement uncertainties through an international effort involving 15 countries utilizing over 20 types and models of precipitation gauges from various manufacturers. Key results from WMO-SPICE are presented herein. Recent work and future research opportunities that build on the results of WMO-SPICE are also highlighted.
AbstractList Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded precipitation products, the verification of model simulations, driving hydrologic models, input into aircraft deicing processes, and estimating streamflow runoff in the spring. These applications are significantly impacted by errors in solid precipitation measurements. The recent WMO Solid Precipitation Intercomparison Experiment (SPICE) attempted to characterize and reduce some of the measurement uncertainties through an international effort involving 15 countries utilizing over 20 types and models of precipitation gauges from various manufacturers. Key results from WMO-SPICE are presented herein. Recent work and future research opportunities that build on the results of WMO-SPICE are also highlighted.
Abstract Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded precipitation products, the verification of model simulations, driving hydrologic models, input into aircraft deicing processes, and estimating streamflow runoff in the spring. These applications are significantly impacted by errors in solid precipitation measurements. The recent WMO Solid Precipitation Intercomparison Experiment (SPICE) attempted to characterize and reduce some of the measurement uncertainties through an international effort involving 15 countries utilizing over 20 types and models of precipitation gauges from various manufacturers. Key results from WMO-SPICE are presented herein. Recent work and future research opportunities that build on the results of WMO-SPICE are also highlighted.
Author Kochendorfer, John
Mekis, Eva
Colli, Matteo
Rasmussen, Roy
Landolt, Scott
Baker, Bruce
Yang, Daqing
Earle, Michael
Roulet, Yves-Alain
Lee, Gyuwon
Morin, Samuel
Lanza, Luca
Wolff, Mareile
Buisan, Samuel
Thériault, Julie M.
Meyers, Tilden
Smith, Craig
Hoover, Jeffery
Nitu, Rodica
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Snippet Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded...
Abstract Accurate snowfall measurements are necessary for meteorology, hydrology, and climate research. Typical uses include creating and calibrating gridded...
SourceID hal
proquest
crossref
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SourceType Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage E370
SubjectTerms Automation
Chemical precipitation
Climate change
Cold
Deicers
Deicing
Gauges
Glaciers
Hydrologic models
Hydrology
Ice sheets
Intercomparison
Measurement techniques
Metadata
Meteorology
Ocean, Atmosphere
Precipitation
Precipitation gauges
Precipitation measurements
Rain
Regions
Reservoirs
Runoff
Sciences of the Universe
Sensors
Snow
Snowfall
Stream discharge
Stream flow
Title How Well Are We Measuring Snow Post-SPICE?
URI https://www.jstor.org/stable/27234905
https://www.proquest.com/docview/2674990045
https://hal.science/hal-03971218
Volume 103
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