Radiance-Based Evaluation of WRF Cloud Properties Over East Asia: Direct Comparison With FY-2E Observations

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NSTL
Amer Geophysical Union

外文摘要：Radiance-based comparison between model-simulated and satellite-observed atmosphere shows its unique advantage for model evaluation. This study couples a fast radiative transfer model, namely, the community radiative transfer model, and the Weather Research and Forecasting (WRF) to generate synthetic satellite observed infrared (IR) brightness temperatures (BTs) over East Asia. Simulated IR BTs are used to evaluate WRF cloud properties by direct comparison with observations from the Visible and Infrared Spin-Scan Radiometer (onboard the FengYun-2E geostationary satellite). A deep cyclone over North China is investigated as our case study. The simulated and observed BTs in the 6.8-μm channel demonstrate agreement with an averaged bias of <3 K, whereas the performances in two IR window channels are relatively poor with averaged BT differences almost 10 K. For typical precipitation regions, BT differences between the 6.8- and 10.8-μm channels indicate that the WRF simulation underestimates low- to midlevel clouds but reproduces high-level clouds better. Overall, the WRF has solid capabilities to capture the cloud characteristics broadly, whereas some limitations are shown in the cloud temporal and variation cloud cover, especially 3 days after the WRF initialization.

外文关键词：

Radiance-Based EvaluationWRF CloudFY-2E Observations

作者：

Bin Yao、Chao Liu、Yan Yin、Peng Zhang、Min Min、Wei Han

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作者单位：

Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China

HUAYUN ShineTek Co., China Meteorological Administration, Beijing, China

Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites (LRCVES/CMA), National Satellite Meteorological Center (NSMC), China Meteorological Administration (CMA), Beijing, China

Numerical Weather Prediction Center, China Meteorological Administration, Beijing, China

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出版年：

2018

DOI：

10.1029/2017JD027600

Journal of Geophysical Research

ISSN：

年,卷(期)：2018.123(9)

被引量5
参考文献量65