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Takesh Yamazaki and Junsei Kondo

1322 JOURNAL OF APPLIED METEOROLOGY -OLUME31The Snowmelt and Heat Balance in Snow-covered Forested Areas TAKESHI YAMAZAKI AND JUNSEI KONDOGeophysical Institute, Tohoku University, Sendal, Japan(Manuscript received 27 December 1991, in final form 16 April 1992)ABSTRACT The snowmelt and heat balance in snow-covc~d forested areas have been studied with the use of a canopymodel. It was found that, in general

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Kjetil Schanke Aas, Kjersti Gisnås, Sebastian Westermann, and Terje Koren Berntsen

1. Introduction In mid- to high-latitude regions, the seasonal snow cover exerts an important influence on the energy transfer between the atmosphere and the land surface. With an albedo typically much higher than that of the surface below, the presence of snow reduces the amount of solar radiation absorbed by the surface. The very low thermal conductivity of snow makes it an efficient insulator between the atmosphere and the ground, further altering the surface temperature and energy balance

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Randall S. Cerveny, Brent R. Skeeter, and Kenneth F. Dewey

620 MONTHLY WEATHER REVIEW VOLUM-115NOTES AND CORRESPONDENCEA Preliminary Investigation of a Relationship between South American Snow Cover and the Southern Oscillation RANDALL S. CERVENY,* BRENT R. SKEETER AND KENNETH F. DEWEY Climatology Program, Department of Geography, University of Nebraska, Lincoln, Nebraska 68588 5 May 1986 and 28 August 1986 ABSTRACT A ten

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M. Segal, C. Anderson, R. W. Arritt, R. M. Rabin, and D. W. Martin

than commonly exists in nature. It appears that further observational information on the intensity of the various types of landscape-induced thermal circulations is needed in order to quantify these circulations. In the absence of sufficient observational data, which typically are obtained in a special field project, any indirect support from routine observations should be beneficial. One well-defined type of landscape variation is occasionally associated with snow cover. Snow cover is often

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Daniel J. Leathers and Dayid A. Robinson

JULY 1993 LEATHERS AND ROBINSON 1345The Association between Extremes in North American Snow Cover Extent and United States Temperatures DANIEL J. LEATHERSCenter for Climatic Research, Department of Geography, University of Delaware, Newark, Delaware DAVID A. ROBINSONDepartment of Geography, Rutgers University, New Brunswick, New Jersey

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Rachel R. McCrary and Linda O. Mearns

1. Introduction Seasonal snow cover is an important component of the climate of North America. It plays a direct role in the surface energy budget through its high albedo and low thermal conductivity, which have important implications for the snow–albedo feedback ( Qu and Hall 2007 ) and permafrost ( Lawrence and Slater 2010 ). The spatial extent of snow cover over North America influences the atmospheric circulation on monthly to seasonal time scales ( Cohen and Entekhabi 2001 ; Sobolowski et

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Hiroyuki Hirashima, Yuji Kodama, Norifumi Sato, Tetsuo Ohata, Hironori Yabuki, and Alexander Georgiadi

1. Introduction Strong global warming is predicted in the continental polar region ( Watson et al. 2001 ). Early melt of snow cover and melting of permafrost have also been predicted. Therefore, prediction of the effect of global warming on the hydrologic cycle in the continental polar region is important because changes in the hydrologic cycle affect evaporation, soil moisture, and river runoff, which in turn affects the feedback to atmospheric conditions, surface conditions, and water

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Kenneth F. Dewey

1210 .JOURNAL OF CLIMATE AND APPLIED METEOROLOGY VOLUME26Satellite-Derived Maps of Snow Cover Frequency for the Northern Hemisphere KENNETH F. DEWEYClimatology/Meteorology Program, Department of Geography, University of Nebrasi~a, Lincoln, NE 68588Manuscript received 30 October 1986, in final form 20 March 1987)ABSTRACT A satellite imagery-based Northern Hemisphere snow cover data archive was mapped for

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Mxolisi E. Shongwe, Christopher A. T. Ferro, Caio A. S. Coelho, and Geert Jan van Oldenborgh

warmest 20% of the climatological records) 2-m temperature seasonal predictive skill over Europe in spring [March–May (MAM)]. Near-surface temperature forecasts obtained from damped persistence of low temperatures from the previous winter and early February snow depth are used as a baseline to judge the performance of the CGCMs. We then relate the 2-m temperature to snow water equivalent (SWE) and snow cover to explain the physical basis of the model skill. 2. Data and methods a. CGCM predictions The

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Zachary J. Suriano and Daniel J. Leathers

1. Introduction Snow-cover ablation plays a key role in the hydrologic cycle in many regions across the globe, contributing to soil moisture availability, streamflow, and groundwater supplies ( Barnett et al. 2005 ). The lack of consistency in the volume and/or timing of snowmelt events associated with ephemeral snow cover can, however, lead to harmful societal and environmental consequences. The variable release of water from the snowpack may result in snowmelt-induced flooding, pollutant or

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