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Benchmark rainfall verification of landfall tropical cyclone forecasts by operational ACCESS‐TC over China.
- Source :
- Meteorological Applications; Jan/Feb2020, Vol. 27 Issue 1, p1-18, 18p
- Publication Year :
- 2020
-
Abstract
- Results from object‐based verification of rainfall forecasts for landfalling tropical cyclones (TCs) over China during the period 2012–2015 are presented. The sample consists of 25 landfall events and 133 operational numerical forecasts from the TC version of the Australian Community Climate and Earth System Simulator. Mean equitable threat scores, probabilities of detection and false alarm ratios for the 30 mm isohyet for the unadjusted forecasts at 0–6 hr (essentially the initialization) are (0.23, 0.55, 0.65), while the performance measures of 24 hr forecast accumulations are the best for the 0–24 hr forecast (0.37, 0.67, 0.40) and then worsen to (0.16, 0.38, 0.66) for the 48–72 hr forecast. Forecast ability also decreases with the increase in rainfall amount. The contiguous rain area (CRA) verification method is used to diagnose the source of systematic errors from the displacement, rotation, volume and pattern of the forecasted rain fields. Results show that the errors are mostly from rainfall patterns, followed by displacement errors, particularly for very heavy rain. After application of the displacement and rotation adjustments of the CRA method, averaged errors improve by about 15%. Results suggest that rainfall prediction will continue to improve with improved track prediction, but more work is needed on model initialization and the prediction of TC structure. The study has uncertainty related to the limited sample size, which could cause large variability, particularly for heavy rainfall at 6 and 72 hr. However, the results still represent a useful benchmark for future verification of landfalling TCs. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13504827
- Volume :
- 27
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Meteorological Applications
- Publication Type :
- Academic Journal
- Accession number :
- 141957753
- Full Text :
- https://doi.org/10.1002/met.1842