scholarly journals Statistics of the Z–R Relationship for Strong Convective Weather over the Yangtze–Huaihe River Basin and Its Application to Radar Reflectivity Data Assimilation for a Heavy Rain Event

2018 ◽  
Vol 32 (4) ◽  
pp. 598-611 ◽  
Author(s):  
Xue Fang ◽  
Aimei Shao ◽  
Xinjian Yue ◽  
Weicheng Liu
Keyword(s):  
Data Assimilation ◽  
River Basin ◽  
Heavy Rain ◽  
Radar Reflectivity ◽  
Rain Event ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Heavy Rain Event ◽  
Reflectivity Data ◽  
Convective Weather

scholarly journals Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy

2021 ◽  
Vol 21 (9) ◽  
pp. 2849-2865
Author(s):  
Vincenzo Mazzarella ◽  
Rossella Ferretti ◽  
Errico Picciotti ◽  
Frank Silvio Marzano
Keyword(s):  
Data Assimilation ◽  
Roc Curve ◽  
Initial Conditions ◽  
Central Italy ◽  
Heavy Rain ◽  
Radar Reflectivity ◽  
Precipitation Forecast ◽  
Rain Event ◽  
Heavy Rain Event ◽  
The Impact

Abstract. Forecasting precipitation over the Mediterranean basin is still a challenge because of the complex orographic region that amplifies the need for local observation to correctly initialize the forecast. In this context, data assimilation techniques play a key role in improving the initial conditions and consequently the timing and position of the precipitation forecast. For the first time, the ability of a cycling 4D-Var to reproduce a heavy rain event in central Italy, as well as to provide a comparison with the largely used cycling 3D-Var, is evaluated in this study. The radar reflectivity measured by the Italian ground radar network is assimilated in the Weather Research and Forecasting (WRF) model to simulate an event that occurred on 3 May 2018 in central Italy. In order to evaluate the impact of data assimilation, several simulations are objectively compared by means of a fraction skill score (FSS), which is calculated for several threshold values, and a receiver operating characteristic (ROC) curve. The results suggest that both assimilation methods in the cycling mode improve the 1-, 3- and 6-hourly quantitative precipitation estimation. More specifically, the cycling 4D-Var with a warm start initialization shows the highest FSS values in the first hours of the simulation both with light and heavy precipitation. Finally, the ROC curve confirms the benefit of 4D-Var: the area under the curve is 0.91 compared to 0.88 for the control experiment without data assimilation.

scholarly journals RESEARCH REPORT AT THE NENOTANI-GAWA RIVER IN THE OTA-GAWA RIVER BASIN DURING THE HEAVY RAIN EVENT OF JULY 2018

2019 ◽  
Vol 75 (1) ◽  
pp. 239-243
Author(s):  
Mitsutaka NAKANO ◽  
Shinya NIGO ◽  
Naoyuki IRIKAWA ◽  
Yoshiro OMORI
Keyword(s):  
River Basin ◽  
Heavy Rain ◽  
Research Report ◽  
Rain Event ◽  
Heavy Rain Event

scholarly journals STATISTICAL ANALYSIS OF RAINFALL IN OKAYAMA PREFECTURE AND INVESTIGATION OF FLOOD DAMAGES IN THE ASAHI RIVER BASIN ATTRIBUTABLE TO THE HEAVY RAIN EVENT OF JULY 2018

2019 ◽  
Vol 75 (1) ◽  
pp. 172-183
Author(s):  
Keisuke YOSHIDA ◽  
Shiro MAENO ◽  
Ryoji KUDO ◽  
Hidetaka CHIKAMORI ◽  
Ryosuke AKOH ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
River Basin ◽  
Heavy Rain ◽  
Rain Event ◽  
Heavy Rain Event ◽  
Flood Damages ◽  
Okayama Prefecture

scholarly journals Responses of Hydrological Processes under Different Shared Socioeconomic Pathway Scenarios in the Huaihe River Basin, China

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1053
Author(s):  
Yuan Yao ◽  
Wei Qu ◽  
Jingxuan Lu ◽  
Hui Cheng ◽  
Zhiguo Pang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
River Basin ◽  
Climate Models ◽  
Global Climate Models ◽  
Hydrological Response ◽  
Huaihe River Basin ◽  
Huaihe River ◽  
Infiltration Capacity ◽  
Change Analysis ◽  
Average Annual Runoff

The Coupled Model Intercomparison Project Phase 6 (CMIP6) provides more scenarios and reliable climate change results for improving the accuracy of future hydrological parameter change analysis. This study uses five CMIP6 global climate models (GCMs) to drive the variable infiltration capacity (VIC) model, and then simulates the hydrological response of the upper and middle Huaihe River Basin (UMHRB) under future shared socioeconomic pathway scenarios (SSPs). The results show that the five-GCM ensemble improves the simulation accuracy compared to a single model. The climate over the UMHRB likely becomes warmer. The general trend of future precipitation is projected to increase, and the increased rates are higher in spring and winter than in summer and autumn. Changes in annual evapotranspiration are basically consistent with precipitation, but seasonal evapotranspiration shows different changes (0–18%). The average annual runoff will increase in a wavelike manner, and the change patterns of runoff follow that of seasonal precipitation. Changes in soil moisture are not obvious, and the annual soil moisture increases slightly. In the intrayear process, soil moisture decreases slightly in autumn. The research results will enhance a more realistic understanding of the future hydrological response of the UMHRB and assist decision-makers in developing watershed flood risk-management measures and water and soil conservation plans.

Evaluation of All-Sky Assimilation of FY-3C/MWHS-2 on Mei-yu Precipitation Forecasts over the Yangtze-Huaihe River Basin

2021 ◽  
Vol 38 (8) ◽  
pp. 1397-1414
Author(s):  
Yu Li ◽  
Keyi Chen ◽  
Zhipeng Xian
Keyword(s):  
River Basin ◽  
Huaihe River Basin ◽  
Huaihe River
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