| An Improved, Downscaled, Fine Model for Simulation of Daily Weather States | |
| Alternative Title | An Improved, Downscaled, Fine Model for Simulation of Daily Weather States |
| Jiang Zhihong1; Ding Yuguo1; Zheng Chunyu1; Chen Weilin1 | |
| 2011 | |
| Source Publication | ADVANCES IN ATMOSPHERIC SCIENCES
 |
| ISSN | 0256-1530 |
| Volume | 28Issue:6Pages:1357-1366 |
| Abstract | In this study, changes in daily weather states were treated as a complex Markov chain process, based on a continuous-time watershed model (soil water assessment tool, SWAT) developed by the Agricultural Research Service at the U. S. Department of Agriculture (USDA-ARS). A finer classification using total cloud amount for dry states was adopted, and dry days were classified into three states: clear, cloudy, and overcast (rain free). Multistate transition models for dry- and wet-day series were constructed to comprehensively downscale the simulation of regional daily climatic states. The results show that the finer, improved, downscaled model overcame the oversimplified treatment of a two-weather state model and is free of the shortcomings of a multistate model that neglects finer classification of dry days (i.e., finer classification was applied only to wet days). As a result, overall simulation of weather states based on the SWAT greatly improved, and the improvement in simulating daily temperature and radiation was especially significant. |
| Other Abstract | In this study, changes in daily weather states were treated as a complex Markov chain process, based on a continuous-time watershed model (soil water assessment tool, SWAT) developed by the Agricultural Research Service at the U.S. Department of Agriculture (USDA-ARS). A finer classification using total cloud amount for dry states was adopted, and dry days were classified into three states: clear, cloudy, and overcast (rain free). Multistate transition models for dry- and wet-day series were constructed to comprehensively downscale the simulation of regional daily climatic states. The results show that the finer, improved, downscaled model overcame the oversimplified treatment of a two-weather state model and is free of the shortcomings of a multistate model that neglects finer classification of dry days (i.e., finer classification was applied only to wet days). As a result, overall simulation of weather states based on the SWAT greatly improved, and the improvement in simulating daily temperature and radiation was especially significant. |
| Keyword | DAILY PRECIPITATION TEMPERATURE RAINFALL stochastic simulation daily weather state series Markov chain state vector |
| Indexed By | CSCD |
| Language | 英语 |
| Funding Project | [National Natural Science Foundation of China] ; [Natural Science Key Research of Jiangsu Province High Education] ; [Jiangsu Higher Education Institutions] ; [National Key Technologies Research and Development Program] ; [CMA Meteorological Special Science Foundation] |
| CSCD ID | CSCD:4325079 |
| Citation statistics |
Cited Times:1[CSCD]
[CSCD Record]
|
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/157994 |
| Collection | 中国科学院金属研究所 |
| Affiliation | 1.南京大学 2.中国科学院金属研究所 |
| Recommended Citation GB/T 7714 | Jiang Zhihong,Ding Yuguo,Zheng Chunyu,et al. An Improved, Downscaled, Fine Model for Simulation of Daily Weather States[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2011,28(6):1357-1366. |
| APA | Jiang Zhihong,Ding Yuguo,Zheng Chunyu,&Chen Weilin.(2011).An Improved, Downscaled, Fine Model for Simulation of Daily Weather States.ADVANCES IN ATMOSPHERIC SCIENCES,28(6),1357-1366. |
| MLA | Jiang Zhihong,et al."An Improved, Downscaled, Fine Model for Simulation of Daily Weather States".ADVANCES IN ATMOSPHERIC SCIENCES 28.6(2011):1357-1366. |
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