scholarly journals Observed vertical structure of precipitation influenced by dry air for landfalling tropical cyclones over China

2021 ◽  
Author(s):  
Shoujuan Shu ◽  
Xibin Feng ◽  
Daigao Teng
Keyword(s):  
Tropical Cyclones ◽  
Vertical Structure ◽  
Dry Air ◽  
Landfalling Tropical Cyclones

scholarly journals A Potential Risk Index Dataset for Landfalling Tropical Cyclones over the Chinese Mainland (PRITC dataset V1.0)

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu
Keyword(s):  
Tropical Cyclones ◽  
Potential Risk ◽  
Risk Index ◽  
Chinese Mainland ◽  
Current Version ◽  
Term Trend ◽  
The Chinese Mainland ◽  
Landfalling Tropical Cyclones ◽  
Long Term Trend

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.

scholarly journals Tropical cyclones vertical structure from GNSS radio occultation: an archive covering the period 2001–2018

2020 ◽  
Author(s):  
Elżbieta Lasota ◽  
Andrea K. Steiner ◽  
Gottfried Kirchengast ◽  
Riccardo Biondi
Keyword(s):  
Tropical Cyclones ◽  
Vertical Structure ◽  
Radio Occultation ◽  
Weather Conditions ◽  
Satellite System ◽  
Spatial Distance ◽  
Correct Prediction ◽  
Data Files ◽  
High Vertical Resolution ◽  
Global Navigation Satellite

Abstract. Tropical Cyclones (TC) are natural destructive phenomena, which affect wide tropical and subtropical areas every year. Although the correct prediction of their tracks and intensity has improved over recent years, the knowledge about their structure and development is still insufficient. The Global Navigation Satellite System (GNSS) Radio Occultation (RO) technique can provide a better understanding of the TC because it enables to probe the atmospheric vertical structure with high accuracy, high vertical resolution, and global coverage in any weather conditions. In this work, we create an archive of co-located TC best tracks and RO profiles covering the period 2001–2018 and providing a complete view of the storms since the pre-cyclone status to the cyclone disappearance. We collected 1822 TC best tracks from the International Best Track Archive for Climate Stewardship and co-located them with 48313 RO profiles from seven satellite missions processed by Wegener Center for Climate and Global Change. We provide information about location and intensity of the TC, RO vertical profiles co-located within 3 hours and 500 km from the TC eye centre, and exact information about temporal and spatial distance between the TC centre and the RO mean tangent point. A statistical analysis shows how the archive well covers all the ocean basins and all the intensity categories. We finally demonstrate the application of this dataset to investigate the vertical structure for one TC example case. All the data files, separately for each TC, are publicly available in NetCDF format at https://doi.org/10.25364/WEGC/TC-RO1.0:2020.1 (Lasota et al., 2020).

scholarly journals Future changes in the frequency and destructiveness of landfalling tropical cyclones over East Asia projected by high‐resolution AGCMs

2021 ◽  
Author(s):  
Pang‐Chi Hsu ◽  
Kuan‐Chieh Chen ◽  
Chih‐Hua Tsou ◽  
Huang‐Hsiung Hsu ◽  
Chi‐Cherng Hong ◽  
...  
Keyword(s):  
High Resolution ◽  
East Asia ◽  
Tropical Cyclones ◽  
Landfalling Tropical Cyclones

scholarly journals Riverine Flooding and Landfalling Tropical Cyclones Over China

2020 ◽  
Vol 8 (3) ◽  
Author(s):  
Long Yang ◽  
Gabriele Villarini ◽  
Zhenzhong Zeng ◽  
James Smith ◽  
Maofeng Liu ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Landfalling Tropical Cyclones

An application of the LTP_DSEF model to heavy precipitation forecasts of landfalling tropical cyclones over China in 2018

2019 ◽  
Vol 63 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Zuo Jia ◽  
Fumin Ren ◽  
Dalin Zhang ◽  
Chenchen Ding ◽  
Mingjen Yang ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Heavy Precipitation ◽  
Landfalling Tropical Cyclones

scholarly journals Intense Precipitation Events Associated with Landfalling Tropical Cyclones in Response to a Warmer Climate and Increased CO2

2014 ◽  
Vol 27 (12) ◽  
pp. 4642-4654 ◽  
Author(s):  
Enrico Scoccimarro ◽  
Silvio Gualdi ◽  
Gabriele Villarini ◽  
Gabriel A. Vecchi ◽  
Ming Zhao ◽  
...  
Keyword(s):  
Tropical Cyclones ◽  
Atmospheric Carbon Dioxide ◽  
Sea Surface ◽  
Special Focus ◽  
Relative Role ◽  
Rainfall Events ◽  
Landfalling Tropical Cyclones ◽  
Precipitation Changes ◽  
Precipitation Events

Abstract In this work the authors investigate possible changes in the intensity of rainfall events associated with tropical cyclones (TCs) under idealized forcing scenarios, including a uniformly warmer climate, with a special focus on landfalling storms. A new set of experiments designed within the U.S. Climate Variability and Predictability (CLIVAR) Hurricane Working Group allows disentangling the relative role of changes in atmospheric carbon dioxide from that played by sea surface temperature (SST) in changing the amount of precipitation associated with TCs in a warmer world. Compared to the present-day simulation, an increase in TC precipitation was found under the scenarios involving SST increases. On the other hand, in a CO2-doubling-only scenario, the changes in TC rainfall are small and it was found that, on average, TC rainfall tends to decrease compared to the present-day climate. The results of this study highlight the contribution of landfalling TCs to the projected increase in the precipitation changes affecting the tropical coastal regions.

scholarly journals Spatial Characterization of Flood Magnitudes over the Drainage Network of the Delaware River Basin

2017 ◽  
Vol 18 (4) ◽  
pp. 957-976 ◽  
Author(s):  
Ping Lu ◽  
James A. Smith ◽  
Ning Lin
Keyword(s):  
United States ◽  
Tropical Cyclones ◽  
River Basin ◽  
Hydrologic Model ◽  
Drainage Network ◽  
Eastern United States ◽  
Delaware River ◽  
Flood Peak ◽  
Landfalling Tropical Cyclones ◽  
Flood Index

Abstract A framework to characterize the distribution of flood magnitudes over large river networks is developed using the Delaware River basin in the northeastern United States as a principal study region. Flood magnitudes are characterized by the flood index, which is defined as the ratio of the flood peak for a flood event to the historical 10-yr flood magnitude. Event flood peaks are computed continuously over the drainage network using a distributed hydrologic model, CUENCAS, with high-resolution radar rainfall fields as the principal forcing. The historical 10-yr flood is calculated based on scaling relationships between the 10-yr flood and drainage area. Summary statistics for characterizing the probability distribution and spatial correlation of flood magnitudes over the drainage network are developed based on the flood index. This framework is applied to four flood events in the Delaware River basin that reflect the principal flood-generating mechanisms in the eastern United States: landfalling tropical cyclones (Hurricane Ivan in September 2004 and Hurricane Irene in August 2011), late winter/early spring extratropical systems (April 2005), and warm season convective systems (June 2006). The framework can be utilized to characterize the spatial distribution of floods, most notably for floods caused by landfalling tropical cyclones, which play an important role in controlling the upper tail of flood peak magnitudes over much of the eastern United States.

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