Cloud system extraction in tropical cyclones by mountain-climbing

Bai, Qiuchan

doi:10.1016/j.atmosres.2011.04.009

Cited by 7 publications

(8 citation statements)

References 8 publications

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“…In order to analyze the influence of different precipitation intensification on brightness temperature of AGRI channel, five grades of precipitation were further counted. e precipitation grades are nonprecipitation [0,0.1), [0.1,5), [5][6][7][8][9][10], [10][11][12][13][14][15], and [15, +∞) mm/h (denoted as "15-Inf"), respectively.…”

Section: Precipitation Signal Identification Based On the Agri Infrarmentioning

confidence: 99%

“…Based on the FCM Method. e key to solving the problem of cloud system extraction is to identify the "dominant cloud system," which often leads to typhoon precipitation [15]. In order to analyze the structure of a typhoon's dominant cloud system, we used the FCM to identify the dominant cloud system based on the 10.8-micron window channel of the AGRI.…”

Section: Dominant Cloud System Identification and Trackingmentioning

confidence: 99%

“…e typhoon spiral cloud band structure in the original AGRI brightness temperature image has not been effectively identified [13,15], which may be related to the inherent characteristics of the FCM method. A great deal of information concerning a typhoon's motion, wind field, and heavy rainfall is contained in its spiral cloud bands.…”

Section: Dominant Cloud System Identification and Trackingmentioning

confidence: 99%

“…As shown in Figure 4 and Table 1, the retrieval precipitation field based on the improved SLLE method agreed with GPM and successfully retrieved the spiral cloud rain bands of the typhoon. In addition, the precipitation field after the membership degree modification of the dominant cloud system based on FCM could identify the main morphological structure of typhoon precipitation, especially in high-precipitation value areas, but the precipitation information of the spiral cloud rain belt of "typhoon" was excessively removed [15]. It can be seen that (formulas (9)-(13)), compared with the retrieval precipitation field obtained by the improved SLLE method, part of the field of view (FOV) values was eliminated (that is, the FOV value was assigned to 0) in the precipitation field obtained by the FCM modification.…”

Section: Precipitation Retrieval Experimental Of Agri Infrared Channementioning

confidence: 99%

“…In summary, this paper focuses on Typhoon Maria and applies the retrieval algorithm proposed by Ebtehaj et al to the infrared brightness temperature data of Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A satellite [12,13] in order to explore the role of AGRI data in typhoon precipitation monitoring. Furthermore, the information from a typhoon's dominant cloud system was extracted from the AGRI infrared window channel brightness temperature image based on the fuzzy c-means (FCM) clustering method [13,14] to monitor the generation and change of typhoons and potentially eliminate them [15].…”

Section: Introductionmentioning

confidence: 99%

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Typhoon Maria Precipitation Retrieval and Evolution Based on the Infrared Brightness Temperature of the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager

Wang

Han

et al. 2020

Advances in Meteorology

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Recognizing the importance and challenges inherent in the remote sensing of precipitation in typhoon monitoring, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. First, Typhoon Maria was selected to statistically analyze the AGRI infrared brightness temperature in the “precipitation” and “nonprecipitation” channels of the field of view. When there was precipitation, the brightness temperature of the AGRI channel changed significantly. Second, the shrunken locally linear embedding algorithm (SLLE) was adopted to carry out the retrieval of precipitation based on the brightness temperatures of AGRI infrared channels 8–14. The contribution rate of the brightness temperature at different channels to the objective function of precipitation retrieval model was obtained by the Bayesian model averaging (BMA). Based on the preliminary experimental “quantification” evaluation index, we concluded that the method adopted in this paper can be used to retrieve precipitation in infrared data and to retrieve the spiral cloud rain bands of a typhoon. Finally, based on the AGRI channel brightness temperature of a 10.8-micron window channel, we applied the membership degree information of a typhoon’s dominant cloud system from the fuzzy c-means (FCM) clustering method to modify precipitation retrieval results. The results were used to obtain the main morphological structure of typhoon precipitation. By further analyzing the temporal variation of dominant cloud system development using the FCM method, we concluded that the brightness temperature gradient can assist in the analysis of the variation of a typhoon’s intensity. This method can be applied to the continuous retrieval of large-scale precipitation. Precipitation retrieval via the AGRI can yield indicators for typhoon precipitation warnings and forecasts, thus providing a reliable reference tool for disaster prevention and mitigation.

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