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Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

2015

Utah State University

Climate

Articles 1 - 6 of 6

Full-Text Articles in Physical Sciences and Mathematics

Role Of The Strengthened El Nino Teleconnection In The May 2015 Floods Over The Southern Great Plains, S.-Y. Wang, W.-R. Huang, H.-H. Hsu, R. R. Gillies Oct 2015

Role Of The Strengthened El Nino Teleconnection In The May 2015 Floods Over The Southern Great Plains, S.-Y. Wang, W.-R. Huang, H.-H. Hsu, R. R. Gillies

Plants, Soils, and Climate Faculty Publications

The climate anomalies leading to the May 2015 floods in Texas and Oklahoma were analyzed in the context of El Niño teleconnection in a warmer climate. A developing El Niño tends to increase late-spring precipitation in the southern Great Plains, and this effect has intensified since 1980. Anthropogenic global warming contributed to the physical processes that caused the persistent precipitation in May 2015: Warming in the tropical Pacific acted to strengthen the teleconnection toward North America, modification of zonal wave 5 circulation that deepened the stationary trough west of Texas, and enhanced Great Plains low-level southerlies increasing moisture supply from …

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The 2011 Great Flood In Thailand: Climate Diagnostics And Implications From Climate Change, Parichart Promchote, S. -Y. Simon Wang, Paul G. Johnson Oct 2015

The 2011 Great Flood In Thailand: Climate Diagnostics And Implications From Climate Change, Parichart Promchote, S. -Y. Simon Wang, Paul G. Johnson

Plants, Soils, and Climate Faculty Publications

Severe flooding occurred in Thailand during the 2011 summer season, which resulted in more than 800 deaths and affected 13.6 million people. The unprecedented nature of this flood in the Chao Phraya River basin (CPRB) was examined and compared with historical flood years. Climate diagnostics were conducted to understand the meteorological conditions and climate forcing that led to the magnitude and duration of this flood. Neither the monsoon rainfall nor the tropical cyclone frequency anomalies alone was sufficient to cause the 2011 flooding event. Instead, a series of abnormal conditions collectively contributed to the intensity of the 2011 flood: anomalously …

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The North American Winter 'Dipole' And Extremes Activity: A Cmip5 Assessment, Shih-Yu (Simon) Wang, Wan-Ru Huang, Jin-Ho Yoon Feb 2015

The North American Winter 'Dipole' And Extremes Activity: A Cmip5 Assessment, Shih-Yu (Simon) Wang, Wan-Ru Huang, Jin-Ho Yoon

Plants, Soils, and Climate Faculty Publications

The 2013–2014 winter in North America brought intense drought in the West and severe cold in the East. The circulation anomalies were characterized as a dipole: an amplified upper-level ridge over the West Coast and a deepened trough over the central-eastern United States. A previous study using a single model has linked the dipole to the El Niño precursor and found that this link has strengthened in recent years. Here, 17 models from the Coupled Model Intercomparison Project Phase 5 are used to examine the dipole activity. Most models capture the dipole and its association with El Niño precursor and …

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Decadal Oscillation Of Autumn Precipitation In Central Vietnam Modulated By The East Pacific-North Pacific (Ep-Np), R. Li, Shih-Yu (Simon) Wang, R. R. Gillies, B. Buckley, L. H. Troung, C. Cho Jan 2015

Decadal Oscillation Of Autumn Precipitation In Central Vietnam Modulated By The East Pacific-North Pacific (Ep-Np), R. Li, Shih-Yu (Simon) Wang, R. R. Gillies, B. Buckley, L. H. Troung, C. Cho

Plants, Soils, and Climate Faculty Publications

Autumn precipitation over Central Vietnam is associated with an increase in the occurrence of tropical cyclones that lead to frequent flooding and pose a significant threat to lives and property. The present analyses reveal a pronounced decadal oscillation of autumn precipitation in Central Vietnam within the 8-11 year frequency band that is modulated by the East Pacific-North Pacific (EP-NP) teleconnection. The negative phase of the EP-NP pattern is associated with a positive sea surface temperature (SST) anomaly in the South China Sea (SCS) that induces low-level convergence, enhances convection, and increases precipitation over Central Vietnam and adjacent islands including Hainan …

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Anthropogenic Footprint Of Climate Change In The June 2013 Northern India Flood, C. Cho, R. Li, Shih-Yu (Simon) Wang, J. -H. Yoon, R. R. Gillies Jan 2015

Anthropogenic Footprint Of Climate Change In The June 2013 Northern India Flood, C. Cho, R. Li, Shih-Yu (Simon) Wang, J. -H. Yoon, R. R. Gillies

Plants, Soils, and Climate Faculty Publications

During 13-17 June 2013, heavy rainfall occurred in the northern Indian state of 15 Uttarakhand and led to one of the worst floods in history and massive landslides, 16 resulting in more than 5,000 casualties and a huge loss of property. In this study, 17 meteorological and climatic conditions leading up to this rainfall event in 2013 and 18 similar cases were analyzed for the period of 1979-2012. Attribution analysis was 19 performed to identify the natural and anthropogenic influences on the climate anomalies 20 using the historical single-forcing experiments in the Coupled Model Intercomparison 21 Project Phase 5 (CMIP5). …

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A Combined Dynamical And Statistical Downscaling Technique To Reduce Biases In Climate Projections: An Example For Winter Precipitation And Snowpack In The Western United States, R. Li, Shih-Yu (Simon) Wang, R. R. Gillies Jan 2015

A Combined Dynamical And Statistical Downscaling Technique To Reduce Biases In Climate Projections: An Example For Winter Precipitation And Snowpack In The Western United States, R. Li, Shih-Yu (Simon) Wang, R. R. Gillies

Plants, Soils, and Climate Faculty Publications

Large biases associated with climate projections are problematic when it comes to their regional application in the assessment of water resources and ecosystems. Here, we demonstrate a method that can reduce systematic biases in regional climate projections. The global and regional climate models employed to demonstrate the technique are the Community Climate System Model (CCSM)and the Weather Research and Forecasting (WRF) model. The method first utilized a statistical regression technique and a global reanalysis dataset to correct biases in the CCSM-simulated variables (e.g., temperature, geopotential height, specific humidity, and winds) that are subsequently used to drive the WRF model. …

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