Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s00382-018-4332-y |
Multi-scale interactions in a high-resolution tropical-belt experiment and observations | |
Fonseca, Ricardo1,3; Koh, Tieh-Yong2,3; Teo, Chee-Kiat4,5 | |
2019-03-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 52页码:3503-3532 |
文章类型 | Article |
语种 | 英语 |
国家 | Sweden; Singapore |
英文摘要 | The Weather Research and Forecasting (WRF) model is used to dynamically downscale 27years of the Climate Forecast System Reanalysis (CFSR) in a tropical belt configuration at 36km horizontal grid spacing. WRF is found to give a good rainfall climatology as observed by the Tropical Rainfall Measuring Mission (TRMM) and to reproduce well the large-scale circulation and surface radiation fluxes. The impact of conventional and Modoki-type El Nino-Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) are confirmed by linear regression. Madden-Julian Oscillation (MJO) and Boreal Summer Intra-seasonal Oscillation (BSISO) are also well-simulated. The WRF simulation shows that conventional El Nino increases (La Nina decreases) the MJO amplitude in the boreal summer while Modoki-type ENSO and IOD impacts are MJO-phase dependent. While WRF is found to perform well on seasonal to sub-seasonal timescales, it does not capture well the diurnal cycle of precipitation over the Maritime Continent. For the investigation of multi-scale interactions through the local diurnal cycle, TRMM data is used instead. In the Maritime Continent, moderate El Nino and La Nina causes anti-symmetric enhancement/reduction of the MJO's influence on the diurnal cycle amplitudes with little change in the diurnal phase. Non-linear impacts on the diurnal amplitude with changes in diurnal phase manifest during strong ENSO. Given that the simulation does not employ data assimilation, this modified version of WRF submitted to the model developers is a suitable downscaling tool of CFSR for sub-seasonal to seasonal tropical atmospheric research. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000463842700057 |
WOS关键词 | MADDEN-JULIAN OSCILLATION ; INDIAN-OCEAN DIPOLE ; DIURNAL CYCLE ; MARITIME CONTINENT ; EL-NINO ; DATA ASSIMILATION ; PACIFIC RIM ; CLIMATE ; MODEL ; PRECIPITATION |
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/181466 |
专题 | 气候变化 |
作者单位 | 1.Lulea Univ Technol, Dept Comp Sci Elect & Space Engn, Div Space Technol, Lulea, Sweden; 2.Singapore Univ Social Sci, UC, Singapore, Singapore; 3.Nanyang Technol Univ, Earth Observ Singapore, Singapore, Singapore; 4.Meteorol Serv Singapore, Ctr Climate Res Singapore, Singapore, Singapore; 5.Singapore Univ Social Sci, Ctr Appl Res, Singapore, Singapore |
推荐引用方式 GB/T 7714 | Fonseca, Ricardo,Koh, Tieh-Yong,Teo, Chee-Kiat. Multi-scale interactions in a high-resolution tropical-belt experiment and observations[J]. CLIMATE DYNAMICS,2019,52:3503-3532. |
APA | Fonseca, Ricardo,Koh, Tieh-Yong,&Teo, Chee-Kiat.(2019).Multi-scale interactions in a high-resolution tropical-belt experiment and observations.CLIMATE DYNAMICS,52,3503-3532. |
MLA | Fonseca, Ricardo,et al."Multi-scale interactions in a high-resolution tropical-belt experiment and observations".CLIMATE DYNAMICS 52(2019):3503-3532. |
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