Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season

In this study, 24 h quantitative precipitation forecasts (QPFs) by a cloud-resolving model (with a grid spacing of 2.5 km) on days 1–3 for 29 typhoons in six seasons of 2010–2015 in Taiwan were examined using categorical scores and rain gauge data. The study represents an update from a previous stud...

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Autores principales: Chung-Chieh Wang, Chih-Sheng Chang, Yi-Wen Wang, Chien-Chang Huang, Shih-Chieh Wang, Yi-Shin Chen, Kazuhisa Tsuboki, Shin-Yi Huang, Shin-Hau Chen, Pi-Yu Chuang, Hsun Chiu
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/4e323cc5538743e3bd6ae0e62b18a85a
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spelling oai:doaj.org-article:4e323cc5538743e3bd6ae0e62b18a85a2021-11-25T16:45:37ZEvaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season10.3390/atmos121115012073-4433https://doaj.org/article/4e323cc5538743e3bd6ae0e62b18a85a2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1501https://doaj.org/toc/2073-4433In this study, 24 h quantitative precipitation forecasts (QPFs) by a cloud-resolving model (with a grid spacing of 2.5 km) on days 1–3 for 29 typhoons in six seasons of 2010–2015 in Taiwan were examined using categorical scores and rain gauge data. The study represents an update from a previous study for 2010–2012, in order to produce more stable and robust statistics toward the high thresholds (typically with fewer sample points), which is our main focus of interest. This is important to better understand the model’s ability to predict such high-impact typhoon rainfall events. The overall threat scores (TS, defined as the fraction among all verification points that are correctly predicted to reach a given threshold to all points that are either observed or predicted to reach that threshold, or both) were 0.28 and 0.18 on day 1 (0–24 h) QPFs, 0.25 and 0.16 on day 2 (24–48 h) QPFs, and 0.15 and 0.08 on day 3 (48–72 h) QPFs at 350 mm and 500 mm, respectively, showing improvements over 5 km models. Moreover, as found previously, a strong dependence of higher TSs for larger rainfall events also existed, and the corresponding TSs at 350 and 500 mm for the top 5% of events were 0.39 and 0.25 on day 1, 0.38 and 0.21 on day 2, and 0.25 and 0.12 on day 3. Thus, for the top typhoon rainfall events that have the highest potential for hazards, the model exhibits an even higher ability for QPFs based on categorical scores. Furthermore, it is shown that the model has little tendency to overpredict or underpredict rainfall for all groups of events with different rainfall magnitude across all thresholds, except for some tendency to under-forecast for the largest event group on day 3. Some issues associated with categorical statistics to be aware of are also demonstrated and discussed.Chung-Chieh WangChih-Sheng ChangYi-Wen WangChien-Chang HuangShih-Chieh WangYi-Shin ChenKazuhisa TsubokiShin-Yi HuangShin-Hau ChenPi-Yu ChuangHsun ChiuMDPI AGarticlequantitative precipitation forecasttyphooncloud-resolving modelcategorical skill scoresTaiwanMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1501, p 1501 (2021)
institution DOAJ
collection DOAJ
language EN
topic quantitative precipitation forecast
typhoon
cloud-resolving model
categorical skill scores
Taiwan
Meteorology. Climatology
QC851-999
spellingShingle quantitative precipitation forecast
typhoon
cloud-resolving model
categorical skill scores
Taiwan
Meteorology. Climatology
QC851-999
Chung-Chieh Wang
Chih-Sheng Chang
Yi-Wen Wang
Chien-Chang Huang
Shih-Chieh Wang
Yi-Shin Chen
Kazuhisa Tsuboki
Shin-Yi Huang
Shin-Hau Chen
Pi-Yu Chuang
Hsun Chiu
Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
description In this study, 24 h quantitative precipitation forecasts (QPFs) by a cloud-resolving model (with a grid spacing of 2.5 km) on days 1–3 for 29 typhoons in six seasons of 2010–2015 in Taiwan were examined using categorical scores and rain gauge data. The study represents an update from a previous study for 2010–2012, in order to produce more stable and robust statistics toward the high thresholds (typically with fewer sample points), which is our main focus of interest. This is important to better understand the model’s ability to predict such high-impact typhoon rainfall events. The overall threat scores (TS, defined as the fraction among all verification points that are correctly predicted to reach a given threshold to all points that are either observed or predicted to reach that threshold, or both) were 0.28 and 0.18 on day 1 (0–24 h) QPFs, 0.25 and 0.16 on day 2 (24–48 h) QPFs, and 0.15 and 0.08 on day 3 (48–72 h) QPFs at 350 mm and 500 mm, respectively, showing improvements over 5 km models. Moreover, as found previously, a strong dependence of higher TSs for larger rainfall events also existed, and the corresponding TSs at 350 and 500 mm for the top 5% of events were 0.39 and 0.25 on day 1, 0.38 and 0.21 on day 2, and 0.25 and 0.12 on day 3. Thus, for the top typhoon rainfall events that have the highest potential for hazards, the model exhibits an even higher ability for QPFs based on categorical scores. Furthermore, it is shown that the model has little tendency to overpredict or underpredict rainfall for all groups of events with different rainfall magnitude across all thresholds, except for some tendency to under-forecast for the largest event group on day 3. Some issues associated with categorical statistics to be aware of are also demonstrated and discussed.
format article
author Chung-Chieh Wang
Chih-Sheng Chang
Yi-Wen Wang
Chien-Chang Huang
Shih-Chieh Wang
Yi-Shin Chen
Kazuhisa Tsuboki
Shin-Yi Huang
Shin-Hau Chen
Pi-Yu Chuang
Hsun Chiu
author_facet Chung-Chieh Wang
Chih-Sheng Chang
Yi-Wen Wang
Chien-Chang Huang
Shih-Chieh Wang
Yi-Shin Chen
Kazuhisa Tsuboki
Shin-Yi Huang
Shin-Hau Chen
Pi-Yu Chuang
Hsun Chiu
author_sort Chung-Chieh Wang
title Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
title_short Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
title_full Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
title_fullStr Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
title_full_unstemmed Evaluating Quantitative Precipitation Forecasts Using the 2.5 km CReSS Model for Typhoons in Taiwan: An Update through the 2015 Season
title_sort evaluating quantitative precipitation forecasts using the 2.5 km cress model for typhoons in taiwan: an update through the 2015 season
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/4e323cc5538743e3bd6ae0e62b18a85a
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