Is Eurasian snow cover in October a reliable statistical

نویسندگان

  • S. Brands
  • S. Herrera
  • J. M. Gutiérrez
چکیده

5 In this study, the recently found lead-lag relationship between Eurasian snow cover 6 increase in October and wintertime precipitation totals on the Iberian Peninsula is re7 visited and generalized to a broad range of atmospheric variables on the synoptic and 8 local scale. To this aim, a robust (resistant to outliers) method for calculating the index 9 value for Eurasian snow cover increase in October is proposed. This ‘Robust Snow 10 Advance Index’ (RSAI) is positively correlated with the wintertime (DJF) frequency 11 of cyclonic and westerly-flow circulation types over the Iberian Peninsula, while the 12 corresponding relationship with anticyclonic and easterly-flow types is negative. For 13 both cases, an explained variance of ∼ 60% indicates a strong and highly significant 14 statistical link on the synoptic scale. 15 Consistent with these findings, it is then shown that the lead-lag relationship equally 16 holds for the DJF-mean conditions of 1) precipitation amount, 2) diurnal temperature 17 range, 3) sun hours, 4) cloud cover, and 5) wind speed on the local scale. To assess if 18 these target variables can be skillfully hindcasted, simple linear regression is applied 19 as a statistical forecasting method, using the October RSAI as the only predictor vari20 able. One-year out cross-validation yields locally significant hindcast correlations of 21 up to ∼ 0.8, obtaining field significance for any of the five target variables mentioned 22 above. The validity for a wide range of atmospheric variables and the consistency of 23 the localand synoptic-scale results affirm the question posed in the title. 24

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The Role of Linear Interference in Northern Annular Mode Variability Associated with Eurasian Snow Cover Extent

One of the outstanding questions regarding the observed relationship between October Eurasian snow cover anomalies and the boreal winter northern annular mode (NAM) is what causes the multiple-week lag between positive Eurasian snow cover anomalies in October and the associated peak in Rossby wave activity flux from the troposphere to the stratosphere in December. This study explores the follow...

متن کامل

Connectivity between Eurasian snow cover extent and Canadian snow water equivalent and river discharge

[1] We explore pan-Arctic climate connectivity by examining historical time series of satellite-based measurements of Eurasian snow cover extent and of observed Canadian snow water equivalent (SWE) and freshwater discharge, with a focus on the Churchill River Basin of Labrador and the Chesterfield Inlet Basin of Nunavut. Analysis of the data reveals statistically significant positive (negative)...

متن کامل

Atmospheric Controls on Eurasian Snow Extent

Composite analyses, based on weekly snow-cover charts, temperature, sea level pressure, cyclone tracks and a rotated PCA of daily filtered 700 hPa geopotential height are used to examine relationships between the dominant modes of low-frequency atmospheric variability and mid-winter snow extent over the Eurasian continent. Two of the circulation modes examined have been identified previously an...

متن کامل

The Effect of Eurasian Snow Cover on the Monsoon Rainfall of Pakistan

Abstract The Eurasian winter and spring snow cover anomalies along with spring snowmelt have been considered as the important factors affecting the Indian summer monsoon rainfall in particular and the Asian summer monsoon rainfall in general. No previous study has been found in which the effects of Eurasian snow cover on the monsoon of Pakistan would have been analyzed. In this study authors tr...

متن کامل

Investigation of snow cover changes affected by climate change In North West of Iran

 In this study in order to monitor snow cover, the Moderate Resolution Imaging Spectroradiometer (MODIS) optical images were used, while for detection of snow covered areas, the  snow index-NDSI, was applied. The results showed - according to the climatic conditions of the region- during the following months: December, January, February and March, most of the area is covered by snow and the max...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013