Physical and dynamic factors that drove the heavy rainfall event over the middle Korean Peninsula on 26-27 July 2011

2017 ◽  
Vol 53 (1) ◽  
pp. 101-120 ◽  
Author(s):  
Joo-Young Lee ◽  
Wonsu Kim ◽  
Tae-Young Lee
Keyword(s):  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
Dynamic Factors ◽  
Middle Korean

scholarly journals Ensemble Sensitivity Analysis of the Heavy Rainfall Event Occurred on 6th August 2003 over the Korean Peninsula

Atmosphere ◽  
2013 ◽  
Vol 23 (1) ◽  
pp. 23-32
Author(s):  
Namkyu Noh ◽  
Shin-Woo Kim ◽  
Ji-Hyun Ha ◽  
Gyu-Ho Lim
Keyword(s):  
Sensitivity Analysis ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event

Assimilation of GPS Radio Occultation Refractivity Data with WRF 3DVAR and Its Impact on the Prediction of a Heavy Rainfall Event

2014 ◽  
Vol 53 (6) ◽  
pp. 1381-1398 ◽  
Author(s):  
Ji-Hyun Ha ◽  
Gyu-Ho Lim ◽  
Suk-Jin Choi
Keyword(s):  
Data Assimilation ◽  
Korean Peninsula ◽  
Heavy Rainfall ◽  
Radio Occultation ◽  
Rainfall Event ◽  
Moisture Distribution ◽  
Precipitation Forecast ◽  
Specific Humidity ◽  
Heavy Rainfall Event ◽  
Gps Radio Occultation

AbstractTo accommodate accurate analyses and forecasts of a heavy rainfall event over the Korean Peninsula, the authors assimilated the GPS radio occultation (RO) data by using the Weather Research and Forecasting Model (WRF) and its three-dimensional variational data assimilation system (3DVAR). The employed datasets are from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) and Challenging Minisatellite Payload (CHAMP) missions. The selected case was from late October 2006, which intensively hit the northeastern part of the Korean Peninsula with record-breaking rainfall. In this study, the local refractivity observation operator was used in assimilating GPS RO soundings. The results are more pronounced for the cycling assimilation of GPS RO data than for the one-time data assimilation. From all of the parameters investigated (temperature, geopotential height, specific humidity, and winds), the GPS RO soundings highly modified the moisture distribution in the lower troposphere and also changed the wind field via the model dynamics. For the heavy rainfall forecast, the quantitative accuracy of the precipitation forecast with the GPS RO data assimilation was in good agreement with observations in terms of the maximum rainfall amount and threat scores. The improved forecast in the experiment came from the exact positioning of the low pressure system and its consequent convergence near the rainfall area. When RO data and GPS precipitable water data were assimilated simultaneously, the moisture distribution changed horizontally and vertically such that it increased the amount of rainfall, and an accurate description of the convective system development was feasible.

scholarly journals Role of land state in a high resolution mesoscale model for simulating the Uttarakhand heavy rainfall event over India

2016 ◽  
Vol 125 (3) ◽  
pp. 475-498 ◽  
Author(s):  
P V Rajesh ◽  
S Pattnaik ◽  
D Rai ◽  
K K Osuri ◽  
U C Mohanty ◽  
...  
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Mesoscale Model ◽  
Rainfall Event ◽  
Heavy Rainfall Event

Influence of a heavy rainfall event on the leaching of [14C]isoproturon and its degradation products in outdoor lysimeters

2006 ◽  
Vol 144 (2) ◽  
pp. 695-702 ◽  
Author(s):  
Ulrike Dörfler ◽  
Guoyin Cao ◽  
Sabine Grundmann ◽  
Reiner Schroll
Keyword(s):  
Heavy Rainfall ◽  
Degradation Products ◽  
Rainfall Event ◽  
Heavy Rainfall Event

SPECIAL ISSUE ON THE JULY 2020 HEAVY RAINFALL EVENT IN JAPAN

2021 ◽  
Vol 77 (1) ◽  
pp. 230-233
Author(s):  
Hiromune YOKOKI ◽  
Tatsuhiko UCHIDA ◽  
Atsushi INAGAKI ◽  
Makoto TSUKAI ◽  
Shinta SETO ◽  
...  
Keyword(s):  
Heavy Rainfall ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
Special Issue
Sign in / Sign up

Export Citation Format

Share Document