Response of damaging Philippines tropical cyclones to a warming climate using the pseudo global warming approach

被引:15
作者
Delfino, Rafaela Jane [1 ,2 ]
Vidale, Pier Luigi [1 ]
Bagtasa, Gerry [2 ]
Hodges, Kevin [1 ]
机构
[1] Univ Reading, Dept Meteorol, Reading, Berks, England
[2] Univ Philippines Diliman, Inst Environm Sci & Meteorol, Quezon City, Philippines
基金
英国自然环境研究理事会;
关键词
Tropical cyclones; WRF; Pseudo-global warming technique; Climate change; Global warming; Uncertainty; CMIP6; TYPHOON HAIYAN; HURRICANE INTENSITY; REGIONAL CLIMATE; FUTURE CHANGES; RESOLUTION; MODEL; SENSITIVITY; PARAMETERIZATION; INTENSIFICATION; VARIABILITY;
D O I
10.1007/s00382-023-06742-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The potential changes in the characteristics and damage potential of three of the most damaging tropical cyclone (TC) events (Haiyan 2013, Bopha 2012, Mangkhut 2018) in the Philippines have been simulated using the pseudo global warming (PGW) technique. Simulations were performed using the Weather Research and Forecasting model at 5 km resolution with cumulus parameterization (5 kmCU) and 3 km without cumulus parameterization (3 kmNoCU), with PGW deltas derived from a selection of the CMIP6 models. We found that re-forecasting the three TCs under future warming leads to more intense TCs, with changes in maximum wind of 4%, 3%, and 14% for the 5 kmCU runs, and 14%, 4%, and 12% for the 3 kmNoCU runs of Typhoon Haiyan, Bopha, and Mangkhut, respectively. The changes in track, translation speed, and size are relatively small. The TC cases have a higher impact potential in the future, as expressed by the cyclone damage potential index, ranging from similar to 1% to up to 37% under the SSP5-8.5 scenario. Based on the pre-industrial runs, climate change has had, so far, only a weak influence on TC intensity and not much influence on track, translation speed, and size. Simulations without convective parameterization show similar changes in the sign of the projected TC intensity response, but different signals of change in translation speed and size.
引用
收藏
页码:3499 / 3523
页数:25
相关论文
共 90 条
[1]   Methodology of the Constraint Condition in Dynamical Downscaling for Regional Climate Evaluation: A Review [J].
Adachi, S. A. ;
Tomita, H. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (11)
[2]  
[Anonymous], 2021, National Weather Service Instruction 10-1605 Storm Data Preparation
[3]   Analysis of the displacement error of the WRF-ARW model in predicting tropical cyclone tracks over the Philippines [J].
Aragon, Larry Ger B. ;
Pura, Alvin G. .
METEOROLOGICAL APPLICATIONS, 2016, 23 (03) :401-408
[5]   How may tropical cyclones change in a warmer climate? [J].
Bengtsson, Lennart ;
Hodges, Kevin I. ;
Esch, Monika ;
Keenlyside, Noel ;
Kornblueh, Luis ;
Luo, Jing-Jia ;
Yamagata, Toshio .
TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY, 2007, 59 (04) :539-561
[6]   Projected Response of Tropical Cyclone Intensity and Intensification in a Global Climate Model [J].
Bhatia, Kieran ;
Vecchi, Gabriel ;
Murakami, Hiroyuki ;
Underwood, Seth ;
Kossin, James .
JOURNAL OF CLIMATE, 2018, 31 (20) :8281-8303
[7]   Tropical cyclones in climate models [J].
Camargo, Suzana J. ;
Wing, Allison A. .
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2016, 7 (02) :211-237
[8]   Impacts of climate change on tropical cyclones and induced storm surges in the Pearl River Delta region using pseudo-global-warming method [J].
Chen, Jilong ;
Wang, Ziqian ;
Tam, Chi-Yung ;
Lau, Ngar-Cheung ;
Lau, Dick-Shum Dickson ;
Mok, Hing-Yim .
SCIENTIFIC REPORTS, 2020, 10 (01)
[9]  
Christensen, 2013, Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
[10]  
CPC (Climate Prediction Center), 2021, Cold and Warm Episodes by Season