The melting effect as a factor in precipitation-type forecasting

Citation
Js. Kain et al., The melting effect as a factor in precipitation-type forecasting, WEATHER FOR, 15(6), 2000, pp. 700-714
Citations number
22
Categorie Soggetti
Earth Sciences
Journal title
WEATHER AND FORECASTING
ISSN journal
08828156 → ACNP
Volume
15
Issue
6
Year of publication
2000
Pages
700 - 714
Database
ISI
SICI code
0882-8156(2000)15:6<700:TMEAAF>2.0.ZU;2-N
Abstract
The process of atmospheric cooling due to melting precipitation is examined to evaluate its contribution to determining precipitation type. The " melt ing effect'' is typically of second- order importance compared to other pro cesses that influence the lower- tropospheric air temperature and hence the type of precipitation that reaches the ground. In some cases, however, coo ling due to melting snowflakes can emerge as the dominant agent of temperat ure change, occasionally surprising forecasters (and the public) by inducin g an unexpected changeover from rain to heavy snow. One such case occurred on 3- 4 February 1998 in east- central Tennessee and surrounding areas. Commonly applied considerations for predicting precipitation type had convi nced forecasters that significant snowfall was not likely with this event. However, real- time observations and a postevent analysis by forecasters at the Storm Prediction Center led to the hypothesis that the melting effect must have provided the cooling necessary to allow widespread heavy snowfall . To test this hypothesis, the Pennsylvania State University- NCAR Mesoscal e Model was used to generate a mesoscale- resolution, four- dimensional dat aset for this event. Diagnostic analysis of the model output confirmed that cooling due to melting snowflakes was of a sufficient magnitude to account for the disparity between observed and forecasted lower- tropospheric temp eratures in this case. A simple formula is derived to provide a " rule of thumb'' for anticipating the potential impact of the melting effect. In addition, guidelines are pr ovided for identifying meteorological patterns that favor a predominance of the melting effect.