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DOI | 10.1007/s00382-017-3781-z |
Reanalysis of the Indian summer monsoon: four dimensional data assimilation of AIRS retrievals in a regional data assimilation and modeling framework | |
Attada, Raju1,2; Parekh, Anant1; Chowdary, J. S.1; Gnanaseelan, C.1 | |
2018-04-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2018 |
卷号 | 50页码:2905-2923 |
文章类型 | Article |
语种 | 英语 |
国家 | India; Saudi Arabia |
英文摘要 | This work is the first attempt to produce a multi-year downscaled regional reanalysis of the Indian summer monsoon (ISM) using the National Centers for Environmental Prediction (NCEP) operational analyses and Atmospheric Infrared Sounder (AIRS) version 5 temperature and moisture retrievals in a regional model. Reanalysis of nine monsoon seasons (2003-2011) are produced in two parallel setups. The first set of experiments simply downscale the original NCEP operational analyses, whilst the second one assimilates the AIRS temperature and moisture profiles. The results show better representation of the key monsoon features such as low level jet, tropical easterly jet, subtropical westerly jet, monsoon trough and the spatial pattern of precipitation when AIRS profiles are assimilated (compared to those without AIRS data assimilation). The distribution of temperature, moisture and meridional gradients of dynamical and thermodynamical fields over the monsoon region are better represented in the reanalysis that assimilates AIRS profiles. The change induced by AIRS data on the moist and thermodynamic conditions results in more realistic rendering of the vertical shear associated with the monsoon, which in turn leads to a proper moisture transport and the moist convective feedback. This feedback benefits the representation of the regional monsoon characteristics, the monsoon dynamics and the moist convective processes on the seasonal time scale. This study emphasizes the use of AIRS soundings for downscaling of ISM representation in a regional reanalysis. |
英文关键词 | Indian summer monsoon Four dimensional data assimilation AIRS profiles Regional model |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000428600200034 |
WOS关键词 | AREA MESOSCALE MODEL ; INTRASEASONAL VARIABILITY ; PRECIPITATION FORECASTS ; TEMPERATURE PROFILES ; JET-STREAM ; SATELLITE ; SIMULATION ; RESOLUTION ; SYSTEM ; IMPACT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/35703 |
专题 | 气候变化 |
作者单位 | 1.Indian Inst Trop Meteorol, Theoret Studies Div, Pune 411008, Maharashtra, India; 2.King Abdullah Univ Sci & Technol, Thuwal, Saudi Arabia |
推荐引用方式 GB/T 7714 | Attada, Raju,Parekh, Anant,Chowdary, J. S.,et al. Reanalysis of the Indian summer monsoon: four dimensional data assimilation of AIRS retrievals in a regional data assimilation and modeling framework[J]. CLIMATE DYNAMICS,2018,50:2905-2923. |
APA | Attada, Raju,Parekh, Anant,Chowdary, J. S.,&Gnanaseelan, C..(2018).Reanalysis of the Indian summer monsoon: four dimensional data assimilation of AIRS retrievals in a regional data assimilation and modeling framework.CLIMATE DYNAMICS,50,2905-2923. |
MLA | Attada, Raju,et al."Reanalysis of the Indian summer monsoon: four dimensional data assimilation of AIRS retrievals in a regional data assimilation and modeling framework".CLIMATE DYNAMICS 50(2018):2905-2923. |
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