2009
DOI: 10.1002/met.163
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Evolutionary characteristics of the atmospheric circulations for frequent and infrequent dust storm springs in northern China and the detection of potential future seasonal forecast signals

Abstract: ABSTRACT:The evolutionary characteristics of dust storms in spring in northern China springs are determined by synthesizing the previous patterns and analyzing the geopotential height at 500 hPa. Some potential seasonal predictors are found through detecting the atmospheric circulation factors in both qualitative and quantitative analyses. Based on the frequency series obtained through comprehensive investigations of dust storm events which occurred from 1970 to 2005, two sample sets, each containing 6 years, … Show more

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Cited by 10 publications
(6 citation statements)
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“…The potential for seasonal prediction of dust activity has been investigated across select global regions, but not yet for the Middle East, largely through linear regression models. In order to predict spring dust activity in northern China, Gao and Han [] examined the transient characteristics of the atmospheric circulation and identified potential predictors, including West Pacific subtropical highs and Eurasian continental lows. Lang [] built a statistical prediction model through linear regression for spring dust storm frequency in north China using antecedent temperature, precipitation, and large‐scale climatic indices.…”
Section: Introductionmentioning
confidence: 99%
“…The potential for seasonal prediction of dust activity has been investigated across select global regions, but not yet for the Middle East, largely through linear regression models. In order to predict spring dust activity in northern China, Gao and Han [] examined the transient characteristics of the atmospheric circulation and identified potential predictors, including West Pacific subtropical highs and Eurasian continental lows. Lang [] built a statistical prediction model through linear regression for spring dust storm frequency in north China using antecedent temperature, precipitation, and large‐scale climatic indices.…”
Section: Introductionmentioning
confidence: 99%
“…The causes of DSs are very complex. Although some DS influencing factors have been confirmed, including surface vegetation, precipitation from the previous term to the contemporary spring, temperature, relative humidity, human activities, and certain atmospheric circulation systems (e.g., the western Pacific subtropical high [WPSH], North Polar vortex [NPV], and East Asian trough) are associated with the DS frequency in northern China (Gao & Han, 2010), the Asian dust forecasting still keeps suffering from large uncertainties (Lee et al, 2017; UNEP, WMO, and UNCCD, 2016).…”
Section: Introductionmentioning
confidence: 99%
“…(LinHo et al 2008;Coy et al 2009;Wen et al 2009;Gao and Han 2010;Zhao et al 2010;Gao et al 2014). For instance, the interannual variation of the low-frequency oscillation over the mid-high latitudes of Eurasia has been identified as closely connected to the C-EU teleconnection pattern in boreal winter (Yang et al 2014).…”
Section: Introductionmentioning
confidence: 99%