Skip to main navigation Skip to search Skip to main content

Intensity estimation of tropical cyclones over the western North Pacific with AMSU-A temperature data

Hui Yu, Johnny C.L. Chan, Yihong Duan

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Temperatures retrieved from NOAA-15 AMSU-A during the period from July to September in 2001 and 2002 are used to develop an algorithm for estimating the intensity of tropical cyclones (TCs) over the western North Pacific. The variance R2 explained by the algorithm is 76.9%, and the mean absolute error MAE (root-mean-square error, RMSE) is 5.6 (7.5) m s-1, all of which are comparable to the published results for Atlantic and Eastern Pacific TCs. In addition to the maximum temperature anomaly over the TC center, the height of the warm core, represented by the uppermost position of a certain temperature anomaly contour (1.0 and 0.5 K), is found to be another important predictor in the final equation. Both the jackknife method, and an independent test, are applied to verify the algorithm. Results show that R2 deteriorates slightly to 72.3% using the jackknife method, while the other three statistic, i.e., MAE, RMSE and standard deviation of residuals, increase by ∼0.5-1 m s-1 in both the jackknife and independent datasets. Most of large underestimations occur for small but strong TCs, while significant overestimations are either due to the lag of an upper-level warm core following the weakening of the surface circulation, or due to upper-level warming ahead of the surface circulation development. © 2006, Meteorological Society of Japan.
    Original languageEnglish
    Pages (from-to)519-527
    JournalJournal of the Meteorological Society of Japan
    Volume84
    Issue number3
    DOIs
    Publication statusPublished - Jun 2006

    Fingerprint

    Dive into the research topics of 'Intensity estimation of tropical cyclones over the western North Pacific with AMSU-A temperature data'. Together they form a unique fingerprint.

    Cite this