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DOI | 10.1175/JCLI-D-19-0421.1 |
Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes | |
Naud, Catherine M.1; Booth, James F.2; Jeyaratnam, Jeyavinoth2; Donner, Leo J.3; Seman, Charles J.3; Zhao, Ming3; Guo, Huan4; Ming, Yi3 | |
2019-10-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:20页码:6685-6701 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The clouds in Southern Hemisphere extratropical cyclones generated by the GFDL climate model are analyzed against MODIS, CloudSat, and CALIPSO cloud and precipitation observations. Two model versions are used: one is a developmental version of "AM4," a model GFDL that will utilize for CMIP6, and the other is the same model with a different parameterization of moist convection. Both model versions predict a realistic top-of-atmosphere cloud cover in the southern oceans, within 5% of the observations. However, an examination of cloud cover transects in extratropical cyclones reveals a tendency in the models to overestimate high-level clouds (by differing amounts) and underestimate cloud cover at low levels (again by differing amounts), especially in the post-cold frontal (PCF) region, when compared with observations. In focusing only on the models, it is seen that their differences in high and midlevel clouds are consistent with their differences in convective activity and relative humidity (RH), but the same is not true for the PCF region. In this region, RH is higher in the model with less cloud fraction. These seemingly contradictory cloud and RH differences can be explained by differences in the cloud-parameterization tuning parameters that ensure radiative balance. In the PCF region, the model cloud differences are smaller than either of the model biases with respect to observations, suggesting that other physics changes are needed to address the bias. The process-oriented analysis used to assess these model differences will soon be automated and shared. |
英文关键词 | Cloud cover Cold fronts Extratropical cyclones Convective parameterization General circulation models Model evaluation performance |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000484914900002 |
WOS关键词 | SOUTHERN-OCEAN ; GLOBAL ATMOSPHERE ; FRONTAL CLOUDS ; BOUNDARY-LAYER ; COLD FRONTS ; ERA-INTERIM ; SIMULATION ; COVER ; MODIS ; PARAMETERIZATION |
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/187438 |
专题 | 气候变化 |
作者单位 | 1.Columbia Univ, Dept Appl Phys & Appl Math, NASA Goddard Inst Space Studies, New York, NY 10027 USA; 2.CUNY City Coll, Dept Earth & Atmospher Sci, New York, NY 10031 USA; 3.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA; 4.Univ Corp Atmospher Res, Cooperat Programs Adv Earth Syst Sci, NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA |
推荐引用方式 GB/T 7714 | Naud, Catherine M.,Booth, James F.,Jeyaratnam, Jeyavinoth,et al. Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes[J]. JOURNAL OF CLIMATE,2019,32(20):6685-6701. |
APA | Naud, Catherine M..,Booth, James F..,Jeyaratnam, Jeyavinoth.,Donner, Leo J..,Seman, Charles J..,...&Ming, Yi.(2019).Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes.JOURNAL OF CLIMATE,32(20),6685-6701. |
MLA | Naud, Catherine M.,et al."Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes".JOURNAL OF CLIMATE 32.20(2019):6685-6701. |
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