Abstract:Since typhoon operational monitoring found a large difference of infrared cloud top temperatures (TBB) between geostationary FY 2D and FY 2E satellites in a region of overlap, it is necessary to find a solution to typhoon intensity estimation by using both FY 2D/E satellites. For this motivation, the cumulative distribution function (CDF) matching algorithm, which uses the 10.3-11.3 μ channel TBB of FY 2D/E, is introduced to solve the problem. Case study of typhoon Megi, which is chosen for testing the algorithm during 1030-1230 UTC 17 October 2010, shows results as below: (1) The CDF matching algorithm works well to reduce the difference of FY 2D/E TBB, and depicts more consistent distribution of the probability distribution function (PDF). When estimating typhoon intensity, the CDF matching algorithm can perform independently with satellite data before going step by step to the intensity estimation scheme. For example, the Advanced Dvorak Technique (ADT) can directly use this normalized TBB as input data without any code modification. (2) Given MTSAT TBB as reference and FY 2D/E TBB as candidates, the CDF matching algorithm provides a normalized TBB of FY 2 D/E. Therefore, the typhoon intensity estimation by FY 2 D/E TBB only can be comparative with those from MTSAT, and this algorithm can also be checked.