Application of Meteorological Satellites to Rainstorm Research and Forecast in China

By Ye Huiming

The rainstorm is a kind of main natural disasters in China. In recent years the Chinese meteorological scholars have used the meteorological satellite data to study it and have obtained good results. This paper describes the application of six kinds of meteorological satellite data including satellite cloud image, water vapor map, sea surface temperature(SST), outgoing longwave radiation (OLR), c loud cover and brightness temperature to the rain storm research and forecast in China.

General

China is located in a well-known monsoon area in the world. In China, torrential rain is rife during the period of wet monsoon, so China suffers from burst flood or continuous flood damage every year, which directly impairs the construction of China's economy and national defence, especially agricultural production. The torrential rain disasters in some years are rather serious. For example, the rainfall from the middle of May to the middle of July in 1991 in Jianghuai and Taihu river areas is generally over 500mm. The rainfall in Jinzai County in Anhui Province reached 1606mm. Because of the long time, wide area striken and heaviness, the rainstorm caused the second largest flood of the Huaihe River, only second to that of 1954 since the founding of the People's Republic of China. Disaster farmland area was over 85 million mu, 2245 people were lost and the direct losses was over 60 billion yuan. For another example, the cloudburst took place in August 5~7, 1975 made 17 million mu of farmland in 29 counties in Henan Province flooded, 11 million people affected and 2 large-sized, 2 medium-sized and 44 small-sized reservoirs damaged, and 30 thousand people died. The research and forecast of the torrential rain is always one of the most important problems concerned by China's meteorological working people.

The Application of Meteorological Satellite Data in the Research and Forecast of Torrential Rain

Satellite Cloud Picture
Numerous studies have shown that the medium-scale system laying over large-scale or weather scale system like the pressure trough or frontal surface is the weather system that directly produces torrential rain. The medium-scale system ranges from tens of kilometers to hundreds of kilometers and its life time is several hours to a day. The current meteorological observation, especially the high altitude station network used for monitoring large-scale weather system is hard to capture medium-scale system.

The satellite cloud pictures are the most products in quantity provided by meteorological satellites and are divided into visible pictures (0.58-0.68¦Ìm) and infrared pictures (10.5-12.5¦Ìm). In particular, the picture of stationary meteorological satellite with high spacial resolution and time resolution is the most effective tool for monitoring, analyzing and forecasting the medium-scale system which causes torrential rain.

Cloudburst causing medium-scale system is expressed as a bright cloud cluster on the satellite picture. The area of the cloud cluster is closely related to the range of cloudburst. Heavy rainfall mostly comes from vigorous convection cloud area that has high cloud top and low temperature at the cloud top. Through the enhancement display of the infrared cloud picture, heavy precipitation center can be seen clearly according to thermal stratification, which becomes an important means for cloud burst forecast.

The water level of upper reaches of the Hanjiang River suddenly rose because of continuous rainstorm in the last ten days of July in 1983. On July 30, the discharge of flood peak in Ankang Station reached [TPB,+47mm¡£52mm,ZS,PY¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ ¡¼JZ¡½Fig.1The picticre of the ¡¼JZ¡½average of cloudiness which ¡¼JZ¡½caused the catastro phic ¡¼JZ¡½cloudbursts in Jiang hui ¡¼JZ¡½Area in the summer of 1991[TS)] [TPC,+35mm¡£112mm,YS,PZ#¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ ¡¼JZ¡½Fig.2The minimun variation with the time of average brigh ¡¼JZ¡½thess temperature in plum rains front cloud zend during cloud- ¡¼JZ¡½burst oclurred from June 27 to July 13,1991[TS)] [TPD,+47mm¡£52mm,YX,PZ#¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ ¡¼JZ¡½Fig.3 The medium-and lower ¡¼JZ¡½level water vapor distribation ¡¼JZ¡½chart of Jiang huai cloud ¡¼JZ¡½burst in June,1991[TS)] [FL(3!K2]34000Mª¬3/s, damaged flood control dikes and inundated the cities. Related departments forecasted the rainstorms of July 27 and July 28, respectively according to the satellite cloud pictures and the leading departments decided to evacuate Ankang and other cities on July 31st, thus reduced casualties of the residents there.

Satellite data are very precious for the Qinghai-Xizang Plateau area. It is clearly to see in the satellite cloud picture that the tropical cloud system (monsoon cloud system and Bangladesh Bay cyclone and Arabian Sea Surge) could influence the plateau. On September 26, 1975, Indian monsoon low pressure westing along the Ganges and the cloud system of low pressure stretched to reach the Qinghai-Xizang Plateau and caused a strong precipitation. Its rainfall reached 97.9mm. ¡¼£×£Ô£µ£È£Ú¡½Cloudiness¡¼£×£Ô¡½The cloudiness data acquired from the geostationary satellite's infrared data are used to analyze the cause of cloudburst, which is a new method.

The picture of the average of cloudiness which caused the catastrophic cloudbursts in Jianghuai Area in the summer of 1991 has several obvious characteristics:

Brightness Temperature

Satellite brightness temperature data can be used to analyze the strength and activity law of the cloudburst system. They are effective tools for research and forecast of the occurrence and going of cloudburst.

Water Vapor Inversion Data

Water vapor channel of the satellite can reveal the upper atmospheric vapor condition, which plays a great role in bringing to light medium and upper atmosphere circulation and its change.

Figure 3 is the medium- and lower-level water vapor distribution chart of Jiang Huai Cloudburst in June, 1991, derived from the water vapor channel of the NOAA satellite. We can see that there are two water vapor channels (14h/kg Line) from the Bangladesh Bay and the South Sea respectively during the cloudburst period. The water vapor tongue of the former stretches from southwest to northeast, the latter from south to north. The area near 30-35¡ãW is the larger water vapor gradient area. On the south of this area, the whole southern mainland of China lies in the high humidity areas and the cloud cluster of cloudburst mostly generates and develops on the south of the large gradient area.

The sustained occurrence of water vapor tongue in that area is the characterization of sufficient ¡¼FL)¡½[LM] ¡¼TPK,+78mm¡£82mm,Z,PY¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ [JZ]Fig.4The continuos visible for the aloud system\= [JZ]of deep depression reaching the wese of the Qing-\= [JZ]hai Xizang plateau at 09:52GMT Sep.25,1995[TS)] ¡¼TPK,+78mm¡£88mm,Y,PZ¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ [JZ] Fig.5The continuos visible picture for the\= [JZ]cloud system moving eastnand slowly over\= [JZ]the plateau at 09:53 GMT Sep.26,1995[TS)] [FL(3!K2] ¡¼TPK,+92mm¡£112mm,ZX,PY,DY#¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ [JZ] Fig.6The compre hen sive picture of water vapor and ose\= [JZ]fields during the cloudburst between 12 and 14 June,1991[TS)] water vapor condition during the sustained occurrence of Jianghuai cloudburst. The large water vapor gradient area provides us the position of the generation and development of the medium scale system of cloud burst, which is very advantageous to the forecast of the generation and development of cloudburst.

Outgoing Longwave Radiation

The outgoing longwave radiation (OLR) data of satellite observation, combined with cloudage and cloud top temperature, can describe the character of precipitation intensity and the intensity and field of atmospheric circulation.

OLR data played an important role in precisely forecasting the heavy cloudburst occurred in Sichuan, Hubei in July, 1989.

Sea Surface Temperature

Besides above mentioned data, the meteorological satellite can also provide global sea surface temperature data under cloudless condition, such as global sea temperature distribution chart.

The well-known El Nino phenomenon means the abnormal warming of the Pacific Ocean temperature, which is large-scale ocean abnormal phenomenon and has obvious influence on global atmospheric circulation, and ocean and climate abnormality. The analysis of EL Nino via ocean temperature data can forecast flood trend in a certain area.

At the end of May, 1993, it was found that the sea temperature in North Pacific Ocean [FL)] ¡¼TPK,+100mm¡£112mm,ZS,PY#¡½ ¡¼TS(¡½¡¼WT5HZ¡½¡¼ST5HZ¡½ [JZ]Fig.7 Apsendo-color visible picure in south ¡¼JZ¡½china at 08 26 GMT 7 September [TS)] rose obviously, which meant the strengthening of El Nino. But the sea temperature near the sea of Japan in the North Pacific Ocean Area was quite low and there was a frontal zone to the south of Pacific Ocean. The subtropical high pressure in summer is not easy to be found to the North, which is liable for the flood and waterlogging to occur in the Changjiang Basin.

On June 5, 1993, the report China Meteorological Bureau submitted to the State Council pointed out that in the flood control work in 1993 the stress should be put on the Changjiang River, not the Yellow River. The actual weather situation in 1993 proved that this conclusion was right.

Applications of Meteorosat Data in the Future Research and Forecast of Cloudburst

China is ready to launch the FY-2 meteorosat to be positioned at 105¡ãE over the equator, which will clearly show us the process of the generation and development of the southwest and southeast monsoons. Therefore we can completely understand tropical warm airflow in the Indian Ocean and the Pacific Ocean moving towards China. Besides, the FY-2 has the 6-7¦Ìm water vapor channel, which can provide a picture of medium and high level water vapor per hour that provides us ideal tools for cloudburst weather research, analysis and forecast.


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