Climate Change Data Portal
DOI | 10.1007/s00382-018-4126-2 |
Assessment of moisture budget over West Africa using MERRA-2’s aerological model and satellite data | |
Igbawua T.; Zhang J.; Yao F.; Zhang D. | |
发表日期 | 2019 |
ISSN | 0930-7575 |
起始页码 | 83 |
结束页码 | 106 |
卷号 | 52期号:2020-01-02 |
英文摘要 | The study assessed the performance of NASA’s Modern-Era Retrospective Analysis for Research and Applications (MERRA) and MERRA-2 aerological (P–E*) model in reproducing the salient features of West Africa water balance including its components from 1980 to 2013. In this study we have shown that recent reanalysis efforts have generated imbalances between regional integrated precipitation (P) and surface evaporation (E), and the effect is more in the newly released MERRA-2. The atmospheric water balance of MERRA and MERRA-2 were inter-compared and thereafter compared with model forecast output of European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-I) and Japanese 55-year Reanalysis (JRA-55). Results indicated that a bias of 12–20 (5–13) mm/month in MERRA-2 (ERA-I) leads to the classification of the Sahel (14°N–20°N) as a moisture source during the West African Summer Monsoon. Comparisons between MERRA/MERRA-2 and prognostic fields from two ERA-I and JRA-55 indicated that the average P–E* in MERRA is 18.94 (52.24) mm/month which is less than ERA-I (JRA-55) over Guinea domain and 25.03 (4.53) mm/month greater than ERA-I (JRA-55) over the Sahel. In MERRA-2, average P–E* indicated 25.76 (59.06) mm/month which is less than ERA-I (JRA-55) over Guinea and 73.72 (94.22) mm/month less than ERA-I (JRA-55) over the Sahel respectively. These imbalances are due to adjustments in data assimilation methods, satellite calibration and observational data base. The change in convective P parameterization and increased re-evaporation of P in MERRA-2 is suggestive of the cause of positive biases in P and E. The little disagreements between MERRA/MERRA-2 and CRU precipitation highlights one of the major challenges associated with climate research in West Africa and major improvements in observation data and surface fluxes from reanalysis remain vital. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
英文关键词 | Aerological model; Climate; MERRA; MERRA-2; Moisture budget; West Africa |
语种 | 英语 |
scopus关键词 | atmospheric modeling; atmospheric moisture; climate modeling; comparative study; data assimilation; evaporation; precipitation (climatology); satellite data; water budget; weather forecasting; West Africa |
来源期刊 | Climate Dynamics
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146636 |
作者单位 | College of Computer Sciences and Technology, Qingdao Uiversity, Qingdao, 266071, China; University of Chinese Academy of Sciences, Beijing, 100049, China; University of Agriculture, Makurdi, Benue State, Nigeria |
推荐引用方式 GB/T 7714 | Igbawua T.,Zhang J.,Yao F.,等. Assessment of moisture budget over West Africa using MERRA-2’s aerological model and satellite data[J],2019,52(2020-01-02). |
APA | Igbawua T.,Zhang J.,Yao F.,&Zhang D..(2019).Assessment of moisture budget over West Africa using MERRA-2’s aerological model and satellite data.Climate Dynamics,52(2020-01-02). |
MLA | Igbawua T.,et al."Assessment of moisture budget over West Africa using MERRA-2’s aerological model and satellite data".Climate Dynamics 52.2020-01-02(2019). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。