scholarly journals Eurasian snow cover, more skillful in predicting U.S. winter climate than the NAO/AO?

2003 ◽  
Vol 30 (23) ◽  
pp. n/a-n/a ◽  
Author(s):  
Judah L. Cohen ◽  
Kazuyuki Saito
Keyword(s):  
Snow Cover ◽  
Winter Climate ◽  
Eurasian Snow Cover ◽  
Eurasian Snow

Eurasian snow cover variability and links to winter climate in the CMIP5 models

2015 ◽  
Vol 45 (9-10) ◽  
pp. 2591-2605 ◽  
Author(s):  
Jason C. Furtado ◽  
Judah L. Cohen ◽  
Amy H. Butler ◽  
Emily E. Riddle ◽  
Arun Kumar
Keyword(s):  
Snow Cover ◽  
Cmip5 Models ◽  
Winter Climate ◽  
Eurasian Snow Cover ◽  
Eurasian Snow

North American and Eurasian snow cover co-variability

1997 ◽  
Vol 49 (4) ◽  
pp. 503-512 ◽  
Author(s):  
David J. Walland ◽  
Ian Simmonds
Keyword(s):  
Snow Cover ◽  
North American ◽  
Eurasian Snow Cover ◽  
Eurasian Snow

scholarly journals Variability of the Cold Season Climate in Central Asia. Part II: Hydroclimatic Predictability

2019 ◽  
Vol 32 (18) ◽  
pp. 6015-6033 ◽  
Author(s):  
Lars Gerlitz ◽  
Eva Steirou ◽  
Christoph Schneider ◽  
Vincent Moron ◽  
Sergiy Vorogushyn ◽  
...  
Keyword(s):  
Central Asia ◽  
Snow Cover ◽  
Large Scale ◽  
Cold Season ◽  
Hadley Cell ◽  
Quasi Biennial Oscillation ◽  
Large Variability ◽  
Forecast Performance ◽  
Eurasian Snow Cover ◽  
Eurasian Snow

Abstract Central Asia (CA) is subjected to a large variability of precipitation. This study presents a statistical model, relating precipitation anomalies in three subregions of CA in the cold season (November–March) with various predictors in the preceding October. Promising forecast skill is achieved for two subregions covering 1) Uzbekistan, Turkmenistan, Kyrgyzstan, Tajikistan, and southern Kazakhstan and 2) Iran, Afghanistan, and Pakistan. ENSO in October is identified as the major predictor. Eurasian snow cover and the quasi-biennial oscillation further improve the forecast performance. To understand the physical mechanisms, an analysis of teleconnections between these predictors and the wintertime circulation over CA is conducted. The correlation analysis of predictors and large-scale circulation indices suggests a seasonal persistence of tropical circulation modes and a dynamical forcing of the westerly circulation by snow cover variations over Eurasia. An EOF analysis of pressure and humidity patterns allows separating the circulation variability over CA into westerly and tropical modes and confirms that the identified predictors affect the respective circulation characteristics. Based on the previously established weather type classification for CA, the predictors are investigated with regard to their effect on the regional circulation. The results suggest a modification of the Hadley cell due to ENSO variations, with enhanced moisture supply from the Arabian Gulf during El Niño. They further indicate an influence of Eurasian snow cover on the wintertime Arctic Oscillation (AO) and Northern Hemispheric Rossby wave tracks. Positive anomalies favor weather types associated with dry conditions, while negative anomalies promote the formation of a quasi-stationary trough over CA, which typically occurs during positive AO conditions.

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