2019
DOI: 10.1016/j.scitotenv.2019.02.185
|View full text |Cite
|
Sign up to set email alerts
|

Numerical reconstruction of the intense precipitation and moisture transport fields for six tropical cyclones affecting the eastern United States

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
6
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(6 citation statements)
references
References 32 publications
0
6
0
Order By: Relevance
“…Sauvage et al (2020) investigated the air‐sea exchange mechanisms during a heavy precipitation in the Mediterranean, and found that the forecast of the heaviest precipitation could be modified when the realistic sea state was taken into account. Based on the Weather Research and Forecasting (WRF) model, Mure‐Ravaud, Ishida, et al (2019) reconstructed extreme precipitation and moisture transportation for six tropical cyclones affecting the eastern United States using the WRF numerical model, and found that horizontal moisture convergence played a key role in the generation of extreme precipitation in those tropical cyclones. However, the driving factors of the extreme rainfalls differ from one place to the other and can hardly be directly related to the outputs of GCMs.…”
Section: Urban Short‐duration Extreme Precipitationmentioning
confidence: 99%
See 1 more Smart Citation
“…Sauvage et al (2020) investigated the air‐sea exchange mechanisms during a heavy precipitation in the Mediterranean, and found that the forecast of the heaviest precipitation could be modified when the realistic sea state was taken into account. Based on the Weather Research and Forecasting (WRF) model, Mure‐Ravaud, Ishida, et al (2019) reconstructed extreme precipitation and moisture transportation for six tropical cyclones affecting the eastern United States using the WRF numerical model, and found that horizontal moisture convergence played a key role in the generation of extreme precipitation in those tropical cyclones. However, the driving factors of the extreme rainfalls differ from one place to the other and can hardly be directly related to the outputs of GCMs.…”
Section: Urban Short‐duration Extreme Precipitationmentioning
confidence: 99%
“…Under changing environment, the physically‐based diagnostic methods can provide feasible schemes for identifying the physical mechanisms associated with extreme precipitation. In fact, there are a large body of scientific literature providing analysis and simulation of extreme precipitation to better comprehend the underlying key processes controlling extreme precipitation at regional scale (Couto, Ducrocq, Salgado, & Costa, 2016; Ducrocq et al, 2016; Mure‐Ravaud, Ishida, Kavvas, Yegorova, & Kanney, 2019; Mure‐Ravaud, Kavvas, & Dib, 2019; Sauvage, Brossier, Bouin, & Ducrocq, 2020; Yang, Smith, Yang, Baeck, & Ni, 2019; Zhang et al, 2018). Among them, Ducrocq et al (2016) highlighted the advances in process understanding of heavy precipitation in the Mediterranean in terms of initiation of deep convection, mesoscale convective systems dynamics and microphysics, and origin and transportation of water vapor.…”
Section: Urban Short‐duration Extreme Precipitationmentioning
confidence: 99%
“…Parameterization is the method of replacing process that are too small-scale or complex to be physically represented in the model by simplified process. WRF commonly parameterizes microphysical processes, cumulus physics, land surface processes, planetary boundary layer (PBL) processes, surface layer processes, and radiation physics [7]. The model performance is highly dependent on the choice of parameterization schemes.…”
Section: Wrf Model Configurationmentioning
confidence: 99%
“…Until now, the RCMs models have been widely used in the diverse community for regional process and sensitivity studies. Among the various NWP models, WRF, as one of the most popular mesoscale numerical weather predictions models, has been widely used to forecast and study TCs due to a flexible and computationally efficient platform for operational forecasting [6,7]. Nevertheless, TC's intense rainfall is time-dependent and spatially complex, therefore, the accuracy of TC precipitation prediction remains a challenge [4].…”
Section: Introductionmentioning
confidence: 99%
“…A physically based modeling methodology has been introduced as part of an effort to provide reliable investigation and estimation of PMP and PMF values (Chen et al, 2016;Ishida et al, 2014Ishida et al, , 2015Ishida et al, 2018;Mure-Ravaud et al, 2019;Ohara et al, 2011;Toride et al, 2019;Trinh et al, 2021). Ishida et al (2014) introduced a numerical modeling approach to objectively estimate the maximum precipitation during a storm event by altering atmospheric boundary conditions and maximizing moisture conditions without any statistical assumptions.…”
mentioning
confidence: 99%