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Meteorological Knowledge Useful for the Improvement of Snow Rain Separation in Surface Based Models
Lund University, Department of Water Resources Engineering.
21st Operational Weather Squadron, United States Air Forces in Europe, Kapuan Air Base, APO-AE 09021, Germany.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geovetenskap och miljöteknik.
Vise andre og tillknytning
2015 (engelsk)Inngår i: Hydrology, ISSN 2306-5338, Vol. 2, nr 4, s. 266-288Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

An accurate precipitation phase determination—i.e., solid versus liquid—is of paramount importance in a number of hydrological, ecological, safety and climatic applications. Precipitation phase can be determined by hydrological, meteorological or combined approaches. Meteorological approaches require atmospheric data that is not often utilized in the primarily surface based hydrological or ecological models. Many surface based models assign precipitation phase from surface temperature dependent snow fractions, which assume that atmospheric conditions acting on hydrometeors falling through the lower atmosphere are invariant. This ignores differences in phase change probability caused by air mass boundaries which can introduce a warm air layer over cold air leading to more atmospheric melt energy than expected for a given surface temperature, differences in snow grain-size or precipitation rate which increases the magnitude of latent heat exchange between the hydrometers and atmosphere required to melt the snow resulting in snow at warmer temperatures, or earth surface properties near a surface observation point heating or cooling a shallow layer of air allowing rain at cooler temperatures or snow at warmer temperatures. These and other conditions can be observed or inferred from surface observations, and should therefore be used to improve precipitation phase determination in surface models.

sted, utgiver, år, opplag, sider
2015. Vol. 2, nr 4, s. 266-288
HSV kategori
Forskningsprogram
Tillämpad geologi
Identifikatorer
URN: urn:nbn:se:ltu:diva-8054DOI: 10.3390/hydrology2040266Lokal ID: 67eff2de-28be-4745-86dc-772d81f5e82bOAI: oai:DiVA.org:ltu-8054DiVA, id: diva2:980944
Merknad
Godkänd; 2015; 20151201 (andbra)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2017-11-24bibliografisk kontrollert

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