Evaluation of the WRF-Lake Model over Two Major Freshwater Lakes in China
Evaluation of the WRF-Lake Model over Two Major Freshwater Lakes in China
复制标题
中国两大淡水湖WRF-Lake模型评估
DOI：
10.1007/s13351-019-8070-9
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发表时间：
2019-04
影响因子：
3.2
通讯作者：
Wang Chenhai
中科院分区：
文献类型：
--
作者：
Ma Yuanyuan;Yang Yi;Qiu Chongjian;Wang Chenhai
本文在鄱阳湖和洞庭湖地区评估了与湖泊方案耦合的天气研究和预报（WRF）模式的性能。我们选择了几种具有不同天气特征的情况，包括有/无降水的冬季和有/无降水的夏季，并针对每种情况进行了一系列实验（没有湖泊模型、使用默认湖泊模型以及使用校准的湖泊模型来调整吸水率、消光系数和表面粗糙度长度）。结果表明，天气条件对湖泊模式的性能有显著影响。对于有降水的冬季，默认湖泊模式的模拟效果比无湖泊模式的模拟效果更差，但校正后的湖泊模式可以明显减小2 m温度和露点温度的偏差。虽然默认和新的校准模型的性能是复杂的其他情况下，新的校准模型具有突出的优势，为2米露点温度。此外，五个月的长期模拟也表明，新的校准耦合湖模型的性能优于默认的。这表明新的耦合模式更适合于研究鄱阳湖和洞庭湖对区域天气气候的影响。
This paper evaluates the performance of the Weather Research and Forecasting (WRF) model coupled with a lake scheme over the Lake Poyang and Lake Dongting regions. We choose several cases with different weather characteristics, including winter with/without precipitation and summer with/without precipitation, and conduct a series of experiments (without the lake model, with the default lake model, and with a calibrated lake model that adjusts the water absorption, extinction coefficients, and surface roughness length) for each case. The results show that the performance of the lake model is significantly affected by the weather conditions. For the winter with precipitation cases, the performance of the default lake model is even worse than without the lake model, but the calibrated lake model can obviously reduce the biases of 2-m temperature and dew-point temperature. Although the performance of the default and new calibrated models is intricate for other cases, the new calibrated model has prominent advantages for 2-m dew-point temperature. Moreover, a long-term simulation of five months also shows that the new calibrated coupled lake model performs better than the default one. These imply that the new calibrated coupled lake model is more suitable to be used in studies of the effects of Lake Poyang and Lake Dongting on regional weather and climate.
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DOI：
10.5065/d6rr1w7m
发表时间：
2013
期刊：
--
影响因子：
--
作者：
K. Oleson;M. Lawrence;B. Bonan;B. Drewniak;Maoyi Huang;D. Koven;S. Levis;Fang Li;J. Riley
通讯作者：
K. Oleson;M. Lawrence;B. Bonan;B. Drewniak;Maoyi Huang;D. Koven;S. Levis;Fang Li;J. Riley
DOI：
10.1002/2014jd021785
发表时间：
2014-06
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
--
作者：
Megan S. Mallard;C. Nolte;O. Bullock;T. Spero;J. Gula
通讯作者：
Megan S. Mallard;C. Nolte;O. Bullock;T. Spero;J. Gula
DOI：
--
发表时间：
1997
期刊：
--
影响因子：
--
作者：
R. Scott;F. Huff
通讯作者：
R. Scott;F. Huff
西南高原淡水湖WRF-湖泊模型评价
DOI：
10.1002/2016jd025396
发表时间：
2016-12
期刊：
Journal of Geophysical Research Atmospheres
影响因子：
--
作者：
Xu Lujun;Liu Huizhi;Du Qun;Wang Lei
通讯作者：
Wang Lei
影响因子：
2.2
作者：
R. Scott;F. Huff
通讯作者：
R. Scott;F. Huff