The Effect of Water Content on the Simulation of Satellite Microwave Observation in Cloudy and Rainy Area

Dong Peiming; Wang Haijun; Han Wei; Wang Deying

Vol.20, NO.6, 2009

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2009 > 20(6): 682-691

Dong Peiming, Wang Haijun, Han Wei, et al. The effect of water content on the simulation of satellite microwave observation in cloudy and rainy area. J Appl Meteor Sci, 2009, 20(6): 682-691.

Citation:

Dong Peiming, Wang Haijun, Han Wei, et al. The effect of water content on the simulation of satellite microwave observation in cloudy and rainy area. J Appl Meteor Sci, 2009, 20(6): 682-691.

Dong Peiming, Wang Haijun, Han Wei, et al. The effect of water content on the simulation of satellite microwave observation in cloudy and rainy area. J Appl Meteor Sci, 2009, 20(6): 682-691.

Citation:

Dong Peiming, Wang Haijun, Han Wei, et al. The effect of water content on the simulation of satellite microwave observation in cloudy and rainy area. J Appl Meteor Sci, 2009, 20(6): 682-691.

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The Effect of Water Content on the Simulation of Satellite Microwave Observation in Cloudy and Rainy Area

1.
Beijing Aviation Meteorological Institute, Beijing 100085
2.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081
3.
Institute of Meteorology, PLA University of Science & Technology, Nanjing 211101
4.
Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2009-05-18
Rev Recd Date: 2009-08-05
Publish Date: 2009-12-31

Abstract

Abstract

Satellite data contribute to the improvement of numerical weather forecast accuracy greatly.In most current data assimilation systems, only clear-sky satellite data are used, but the observations in cloudy and rainy area have crucial information for the development and forecast of the weather system. Using satellite data affected by cloud and precipitation will be one of the effective methods to improve the accuracy of numerical forecast continuously. To achieve this target, the radiant effect modules of water content are being developed in both RTTOV and CRTM, which are two popular rapid radiant transfer models developed by EUMETSAT Satellite Application Facility on Numerical Weather Prediction (NWP SAF) and USA Joint Center for Satellite Data Assimilation (JCSDA), respectively. Using rapid radiant transfer model CRTM, the radiant effect of water content on the simulation of satellite microwave observations in cloudy and rainy area is analyzed.The water content input of CRTM is taken from the output of the regional mesoscale model WRF. Under the circumstances that the disturbance of water content output corresponds well with the weather system and physical characteristics, the simulation of satellite observations are greatly improved by the consideration of the radiant effect of water content. Deliberating on the physical mechanism of satellite observations, the effects of different kinds of water content on the simulation of different satellite observation channels are investigated. Quantitative statistics of the bias is performed and the influencing weight of each kind of water content on each channel of NOAA 16 AMSUA/B satellite is also calculated. These results are expected to facilitate understanding the error characteristics of simulated satellite microwave observations in cloudy and rainy area and accelerate using satellite data affected by cloud and precipitation in numerical weather forecast.
- water content;
- radiant effect;
- cloudy and rainy area;
- satellite observations;
- CRTM

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References(17)

Figures and Tables

图 1 0°～28°N, 120°～140°E区域内24h水物质整层积分

Fig. 1 Distribution of the to talintegrated water contents in the region of 10°-28°N, 120°-140°E

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图 2 AMSU A通道1观测与模拟亮温

(a) 观测, (b) 考虑全部水物质, (c) 不考虑水物质

Fig. 2 Observed and simulated bright temperature for AM S U A Channel 1

(a) observa tion, (b) with all water contents, (c) without water contents

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图 3 AMSU B通道1观测与模拟亮温

(a) 观测, (b) 考虑全部水物质, (c) 不考虑水物质

Fig. 3 Observed and simulated bright temperature for AMSU B Channel 1

(a) observ ation, (b) with all water contents, (c) without water contents

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图 4 考虑水物质辐射效应与不考虑水物质辐射效应模拟亮温偏差区域平均

Fig. 4 Area aver age of simulated bright temperature bias between the calculation with and without water contents

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图 5 考虑水物质辐射效应与不考虑水物质辐射效应模拟亮温偏差的区域均方根误差

Fig. 5 Area average of simulated bright temperature RM SE between the calculation with and without water contents

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图 6 各种水物质辐射效应导致模拟亮温变化在各个通道中所占百分比

Fig. 6 The percent of REMS brought by each kind of water content for AMSU A/B

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