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Author Jian-Qi Sun |
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A Quick Report on a Dynamical Downscaling Simulation over China using the Nested Model
Atmospheric and Oceanic Science Letters, Volume 3 Number 6. Yu En-Tao; Wang Hui-Jun; Sun Jian-Qi - Science Press, 2010This paper describes a dynamical downscaling simulation over China using the nested model system, which consists of the modified Weather Research and Forecasting Model (WRF) nested with the NCAR Community Atmosphere Model (CAM). Results show that dynamical downscaling is of great value in improving the model simulation of regional climatic characteristics. WRF simulates regional detailed temperature features better than CAM. With the spatial correlation coefficient between the observation and the simulation increasing from 0.54 for CAM to 0.79 for WRF, the improvement in precipitation simulati ...
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Available online: http://www.iapjournals.ac.cn/aosl/ch/reader/view_abstract.aspx?file_no=AOSL10049
in Atmospheric and Oceanic Science Letters > Volume 3 Number 6 (16 November 2010) . - p.319-324This paper describes a dynamical downscaling simulation over China using the nested model system, which consists of the modified Weather Research and Forecasting Model (WRF) nested with the NCAR Community Atmosphere Model (CAM). Results show that dynamical downscaling is of great value in improving the model simulation of regional climatic characteristics. WRF simulates regional detailed temperature features better than CAM. With the spatial correlation coefficient between the observation and the simulation increasing from 0.54 for CAM to 0.79 for WRF, the improvement in precipitation simulation is more perceptible with WRF. Furthermore, the WRF simulation corrects the spatial bias of the precipitation in the CAM simulation.
Language(s): English
Format: Digital (Free), Hard copyTags: China ; Climate ; Climate prediction ; Research ; Climate simulation
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Possible Impact of the Boreal Spring Antarctic Oscillation on the North American Summer Monsoon
This study examined the relationship between the boreal spring (April-May) Antarctic Oscillation (AAO) and the North American summer monsoon (NASM) (July-September) for the period of 1979-2008. The results show that these two systems are closely related. When the spring AAO was stronger than normal, the NASM tended to be weaker, and there was less rainfall over the monsoon region. The opposite NASM situation corresponded to a weaker spring AAO. Further analysis explored the possible mechanism for the delayed impact of the boreal spring AAO on the NASM. It was found that the tropical Atlantic s ...
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Available online: http://www.iapjournals.ac.cn/aosl/ch/reader/view_abstract.aspx?file_no=AOSL10041
in Atmospheric and Oceanic Science Letters > Volume 3 Number 4 (16 July 2010) . - p.232-236This study examined the relationship between the boreal spring (April-May) Antarctic Oscillation (AAO) and the North American summer monsoon (NASM) (July-September) for the period of 1979-2008. The results show that these two systems are closely related. When the spring AAO was stronger than normal, the NASM tended to be weaker, and there was less rainfall over the monsoon region. The opposite NASM situation corresponded to a weaker spring AAO. Further analysis explored the possible mechanism for the delayed impact of the boreal spring AAO on the NASM. It was found that the tropical Atlantic sea surface temperature (SST) plays an important role in the connection between the two phenomena. The variability of the boreal spring AAO can produce anomalous SSTs over the tropical Atlantic. These SST anomalies can persist from spring to summer and can influence the Bermuda High, affecting water vapor transportation to the monsoon region. Through these processes, the boreal spring AAO exerts a significantly delayed impact on the amount of NASM precipitation. Thus, information about the boreal spring AAO is valuable for the prediction of the NASM.
Language(s): English
Format: Digital (Free), Hard copyTags: North America ; Region IV - North America, Central America and the Caribbean ; Aurora ; Monsoon ; Antarctic Oscillation (AAO)
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