@article{852ac554445c4300a43b79569fb2a365,
title = "Riverine Flooding and Landfalling Tropical Cyclones Over China",
abstract = "Riverine flooding associated with landfalling tropical cyclones (TCs) in the western North Pacific basin is responsible for some of the most severe socioeconomic losses in East Asian countries. However, little is known about the spatial and temporal patterns of TC flooding and its climate controls, which constrain the predictive understandings of flood risk in this highly populated region. We provide a climatological characterization of TC flooding over China based on an exceptional network of stream gauging stations across the entire country. The most extreme floods in central and northeastern China are associated with TCs despite infrequent TC visits in these regions. Temporal variations in TC flooding demonstrate a mixture of controls tied to surface temperature anomalies in the northern hemisphere. The established links between TC flooding and climate controls present a potentially predictive tool of TC flood risk over China and other East Asian countries under future climate conditions.",
keywords = "Tropical cyclone, flood",
author = "Long Yang and Gabriele Villarini and Zhenzhong Zeng and James Smith and Maofeng Liu and Xiang Li and Lachun Wang and Aizhong Hou",
note = "Funding Information: This study is financially supported by Natural Science Foundation of Jiangsu Province (SBK20190314), National Natural Science Foundation of China (51609256), and National Science Foundation (EAR‐1520683). Accesses to all the data sets are as follows: streamflow and rainfall data set ( https://doi.org/10.5281/zenodo.3457633; http://data.cma.cn/en ), IBTrACS data set ( https://www.ncdc.noaa.gov/ibtracs/ ), monthly mean climate indices ( https://www.esrl.noaa.gov/psd/data/climateindices/list/ ), monthly mean land surface temperature ( https://crudata.uea.ac.uk/cru/data/temperature/ ), monthly mean sea surface temperature ( https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html ), and NCEP/NCAR Reanalysis ( https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html ). Lachuan Wang is supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA23040202). Funding Information: This study is financially supported by Natural Science Foundation of Jiangsu Province (SBK20190314), National Natural Science Foundation of China (51609256), and National Science Foundation (EAR-1520683). Accesses to all the data sets are as follows: streamflow and rainfall data set (https://doi.org/10.5281/zenodo.3457633; http://data.cma.cn/en), IBTrACS data set (https://www.ncdc.noaa.gov/ibtracs/), monthly mean climate indices (https://www.esrl.noaa.gov/psd/data/climateindices/list/), monthly mean land surface temperature (https://crudata.uea.ac.uk/cru/data/temperature/), monthly mean sea surface temperature (https://www.esrl.noaa.gov/psd/data/gridded/data.noaa.oisst.v2.html), and NCEP/NCAR Reanalysis (https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html). Lachuan Wang is supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (grant no. XDA23040202). Publisher Copyright: {\textcopyright}2020. The Authors.",
year = "2020",
month = mar,
day = "1",
doi = "10.1029/2019EF001451",
language = "English (US)",
volume = "8",
pages = "no",
journal = "Earth's Future",
issn = "2328-4277",
publisher = "John Wiley and Sons Inc.",
number = "3",
}