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June 1%7R. R. Dickson and Julian Posey347MAPS OF SNOW-COVER PROBABILITY FOR THE NORTHERN HEMISPHERER.R. DICKSON AND JULIAN POSEYExtended Forecast Division; NMC, Weather Bureau, ESSA, Washington, D.C.ABSTRACTMap analyses are provided depicting the probability of snow-cover 1 inch or more in depth at the end of eachmonth from September through May for the Northern Hemisphere.1. INTRODUCTIONRecent work dealing with thermodynamic [I] andsynoptic [8] aspects of long-range forecasting has em

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Richard H. Johnson, George S. Young, James J. Toth, and Raymond M. Zehr

JUNE 1984 JOHNSON, YOUNG, TOTH AND ZEHR 1141Mesoscale Weather Effects of Variable Snow Cover over Northeast Colorado RICHARD H. JOHNSON, GEORGE S. YOUNG AND JAMES J. TOTHDepartment of Atmospheric Science, Colorado State University, Fort Collins, CO 80523 RAYMOND M. ZEHRNESDIS/RAMM Branch, Colorado State University, Fort Collins, CO 80523(Manuscript received 7 September 1983, in final form 12 January 1984

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Catalina M. Oaida, John T. Reager, Konstantinos M. Andreadis, Cédric H. David, Steve R. Levoe, Thomas H. Painter, Kat J. Bormann, Amy R. Trangsrud, Manuela Girotto, and James S. Famiglietti

soil and vegetation conditions in these mountainous regions, affecting ecosystems and phenomena such as wildfire timing, extent, and length of season ( Westerling et al. 2006 ). Because of the complexity of mountainous terrain, snow mass and snow extent exhibit great spatial heterogeneity, with their variability being influenced by a range of factors such as elevation, vegetation cover, slope and aspect, topography, orographic effects, wind redistribution, and atmospheric circulation (e

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A. D. Vernekar, J. Zhou, and J. Shukla

248 JOURNAL OF CLIMATE VOLUME8The Effect of Eurasian Snow Cover on the Indian Monsoon A. D. VERNEKAR AND J. ZHOUDepartment of Meteorology, University of Maryland, College Park, Maryland J. SHUKLACenter for Ocean-Land-Atmosphere Studies, Calverton, Maryland(Manuscript received 15 November 1993, in final form I July 1994)ABSTRACT The authors successfully model and simulate the

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Wenli Wang, Kun Yang, Long Zhao, Ziyan Zheng, Hui Lu, Ali Mamtimin, Baohong Ding, Xin Li, Lin Zhao, Hongyi Li, Tao Che, and John C. Moore

cover at various scales affects both the local weather status and the Asian summer monsoon ( Blanford 1884 ; Xiao and Duan 2016 ). Snowmelt in spring also serves as an important water supply to some large river systems on the TP ( Han et al. 2019 ). Snow is therefore a key component in the Tibetan climate system. The characteristics of snow on the TP is quite different from that in the circum-Arctic region ( Wang et al. 2018 ). Due to the low latitude of the TP, the solar radiation is strong

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M. Rodell and P. R. Houser

satellite- and ground-based observations to confirm a previously inferred inverse relationship between winter snow cover over western Eurasia and subsequent Indian summer monsoon rainfall. Several observation-based studies have shown that Eurasian snow cover influences the state and persistence of the Arctic Oscillation ( Cohen and Entekhabi 1999 , 2001 ; Bojariu and Gimeno 2003 ; Saito and Cohen 2003 ; Saunders et al. 2003 ), which in turn affects the severity of the winter season in the entire

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Glen E. Liston

Introduction With its high albedo, low thermal conductivity, and considerable spatial and temporal variability, seasonal snow cover overlying land plays a key role in governing the earth’s global radiation balance; this balance is the primary driver of the earth’s atmospheric circulation system and associated climate. Of the various features that influence the surface radiation balance, the location and duration of snow cover compose two of the most important seasonal variables. In the Northern

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Ross D. Brown

1. Introduction Documenting the interannual variability of major components of the cryosphere such as hemispheric sea ice (e.g., Cavalieri et al. 1997 ) and snow cover extent (e.g., Robinson et al. 1993 ) is important for climate change detection, validation of GCM climate simulations, and greater understanding of climate–cryosphere interactions. Snow cover extent (SCE) is an important component of planetary albedo and has been shown to exhibit a close negative relationship with hemispheric

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Donald G. Baker, David L. Ruschy, Richard H. Skaggs, and David B. Wall

MARCH 1992 BAKER ET AL. 247Air Temperature and Radiation Depressions Associated with a Snow Cover DONALD G. BAKER AND DAVID L. RUSCHYSoil Science Department, University of Minnesota, St. Paul, Minnesota RICHARD H. SKAGGSGeography Department, University of Minnesota, Minneapolis, Minnesota DAVID B. WALLSoil Science Department, University of Minnesota, St

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Judah Cohen, Jason C. Furtado, Justin Jones, Mathew Barlow, David Whittleston, and Dara Entekhabi

water vapor ( Joshi et al. 2006 ). Our focus is on the possible dynamical relationship between October snow cover extent (SCE) and the boreal winter AO as first demonstrated in Cohen and Entekhabi (1999) . Cohen and Jones (2011a) developed a new index not based on the monthly extent of snow cover but rather on the rate of advance of snow cover south of 60°N that is even more highly correlated with the winter AO ( r ~ 0.8) referred to as the snow advance index (SAI). Using reanalysis datasets

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