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Jiahao Li, Lingli Fan, Xuzhe Chen, Chunqiao Lin, Luchi Song and Jianjun Xu
Analyzing and forecasting the Indian Summer Monsoon Rainfall (ISMR) is vital for South Asia?s socio-economic stability. Using 35 climate models from the latest generation of the Coupled Model Intercomparison Project (CMIP6) to simulate and project ISMR, ...
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Xiong Chen, Xing Liu, Xin Li, Mingyang Liu and Minghao Yang
In this paper, the performances of 12 CMIP5 (Coupled Model Intercomparison Project phase 5) models for simulating the climatology and interannual variability of the East Asian trough (EAT) are assessed using the National Centers for Environmental Predict...
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Scott Curtis, Thomas Crawford, Munshi Rahman, Bimal Paul, M. Giashuddin Miah, M. Rafiqul Islam and Mohin Patel
Understanding seasonal precipitation input into river basins is important for linking large-scale climate drivers with societal water resources and the occurrence of hydrologic hazards such as floods and riverbank erosion. Using satellite data at 0.25-de...
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Alan K. Betts and Raymond L. Desjardins
Analysis of the hourly Canadian Prairie data for the past 60 years has transformed our quantitative understanding of land–atmosphere–cloud coupling. The key reason is that trained observers made hourly estimates of the opaque cloud fraction t...
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P. J. ENGLEHART,A. V. DOUGLAS
This study explores the interannual variability in Mexico's warm season rainfall. It is based on historical rainfall data (1927-1997) from a grid of 130 long-term stations. The grid provides reasonable spatial coverage over most of the country. Using...
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RICHARD A. MINNICH,ERNESTO FRANCO VIZCAINO,RAYMOND J. DEZZANI
This study evaluates precipitation variability in Baja California in relation to the El Niño/Southern Oscillation (ENSO) using the Southern Oscillation Index (SOI). To evaluate precipitation climatology, data for 102 weather stations were analyzed. D...
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