Sensitivity of the drp-4dvar performance to perturbation samples obtained by two different methods
文献类型：期刊论文
| 作者 | Zhao Juan1,2; Wang Bin1 |
| 刊名 | Acta meteorologica sinica
 |
| 出版日期 | 2010-10-01 |
| 卷号 | 24期号:5页码:527-538 |
| 关键词 | Perturbation sample historical forecast 3dvar |
| ISSN号 | 0894-0525 |
| 通讯作者 | Wang bin() |
| 英文摘要 | The dimension reduced projection foul dimensional variation data assimilation (drp-4dvar) approach utilizes the ensemble of lust cm teal forecasts to estimate the background error covariance (beg) and directly obtains the analysis in the ensemble space as a result, the quality of ensemble members significantly affects the drp 4dvar performance the historical-forecast based initial perturbation samples are flow dependent and can describe the error-growth pattern of the atmospheric model and the balanced relationship between different model variables however, the ensemble sine id is not, big enough because of the slant time interval ii between adjacent historical samples and the limited ensemble size in this study the bec of the weather research and forecasting model (wrf) three dimensional variational data assimilation (3dvar) system is employed to produce initial perturbation samples for the drp 4dvar the control variable perturbation method based on the structure characteristics of the 3dvar bec produces initial perturbation samples that time reasonable background error correlations moreover, the estimated bec also has good dynamic and physical consistency between variables after the initial perturbation samples undergo v development with a 6 or 12 h model forward integration in tennis of computational expense, the historical forecast results can be obtained without any additional computational cost at the operational numerical weather forecast centers while the integration of samples from the 3dvar based control variable perturbation method is time-consuming, but this difficulty can be alleviated through parallel computing although the assimilation run with the historical forecast-based ensemble generates slightly better initial analysis field, the forecasts from the assimilation experiment using the 3dvar method performs better during the period from 12 to 30 h moreover precipitation is simulated significantly better when the new ensemble is used in conclusion, the performance of the drp-4dvar approach can be improved especially in predicting heavy runs when the initial perturbation samples are derived from the bec of the wrt 3dvar system |
| WOS关键词 | DATA ASSIMILATION SYSTEM ; ENSEMBLE KALMAN FILTER ; IMPLEMENTATION ; MODEL ; MM5 |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| WOS类目 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000285072000001 |
| 出版者 | SPRINGER HEIDELBERG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2412176 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Wang Bin |
| 作者单位 | 1.Chinese Acad Sci, Inst Atmospher Phys, LASC, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao Juan,Wang Bin. Sensitivity of the drp-4dvar performance to perturbation samples obtained by two different methods[J]. Acta meteorologica sinica,2010,24(5):527-538. |
| APA | Zhao Juan,&Wang Bin.(2010).Sensitivity of the drp-4dvar performance to perturbation samples obtained by two different methods.Acta meteorologica sinica,24(5),527-538. |
| MLA | Zhao Juan,et al."Sensitivity of the drp-4dvar performance to perturbation samples obtained by two different methods".Acta meteorologica sinica 24.5(2010):527-538. |
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来源：中国科学院大学
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