Uncertainties in the Impact of Urbanization on Heavy Rainfall: Case Study of a Rainfall Event in Beijing on 7 August 2015

2018 ◽  
Vol 123 (11) ◽  
pp. 6005-6021 ◽  
Author(s):  
Miao Yu ◽  
Shiguang Miao ◽  
Hanbin Zhang
Keyword(s):  
Heavy Rainfall ◽  
Rainfall Event ◽  
Impact Of Urbanization ◽  
The Impact

Simulation of a heavy rainfall event during southwest monsoon using high-resolution NCUM-modeling system: a case study

2018 ◽  
Vol 131 (4) ◽  
pp. 1035-1054 ◽  
Author(s):  
Devajyoti Dutta ◽  
A. Routray ◽  
D. Preveen Kumar ◽  
John P. George ◽  
Vivek Singh
Keyword(s):  
High Resolution ◽  
Heavy Rainfall ◽  
Southwest Monsoon ◽  
Rainfall Event ◽  
Heavy Rainfall Event ◽  
System A

The impact of urbanization on air stagnation: Shenzhen as case study

2019 ◽  
Vol 664 ◽  
pp. 347-362 ◽  
Author(s):  
Zhiqiang Li ◽  
Yulun Zhou ◽  
Bingcheng Wan ◽  
Qinxin Chen ◽  
Bo Huang ◽  
...  
Keyword(s):  
Impact Of Urbanization ◽  
The Impact

scholarly journals Impact of Radiance Data Assimilation on the Prediction of Heavy Rainfall in RMAPS: A Case Study

2018 ◽  
Vol 10 (9) ◽  
pp. 1380 ◽  
Author(s):  
Yanhui Xie ◽  
Jiancheng Shi ◽  
Shuiyong Fan ◽  
Min Chen ◽  
Youjun Dou ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Heavy Rainfall ◽  
Precipitation Forecast ◽  
Observation Data ◽  
Rainfall Events ◽  
Satellite Radiance Data ◽  
Radiance Data ◽  
The Impact ◽  
Heavy Rainfall Events

Herein, a case study on the impact of assimilating satellite radiance observation data into the rapid-refresh multi-scale analysis and prediction system (RMAPS) is presented. This case study targeted the 48 h period from 19–20 July 2016, which was characterized by the passage of a low pressure system that produced heavy rainfall over North China. Two experiments were performed and 24 h forecasts were produced every 3 h. The results indicated that the forecast prior to the satellite radiance data assimilation could not accurately predict heavy rainfall events over Beijing and the surrounding area. The assimilation of satellite radiance data from the advanced microwave sounding unit-A (AMSU-A) and microwave humidity sounding (MHS) improved the skills of the quantitative precipitation forecast to a certain extent. In comparison with the control experiment that only assimilated conventional observations, the experiment with the integrated satellite radiance data improved the rainfall forecast accuracy for 6 h accumulated precipitation after about 6 h, especially for rainfall amounts that were greater than 25 mm. The average rainfall score was improved by 14.2% for the 25 mm threshold and by 35.8% for 50 mm of rainfall. The results also indicated a positive impact of assimilating satellite radiances, which was primarily reflected by the improved performance of quantitative precipitation forecasting and higher spatial correlation in the forecast range of 6–12 h. Satellite radiance observations provided certain valuable information that was related to the temperature profile, which increased the scope of the prediction of heavy rainfall and led to an improvement in the rainfall scoring in the RMAPS. The inclusion of satellite radiance observations was found to have a small but beneficial impact on the prediction of heavy rainfall events as it relates to our case study conditions. These findings suggest that the assimilation of satellite radiance data in the RMAPS can provide an overall improvement in heavy rainfall forecasting.

The Impact of Urbanization on Current and Future Coastal Precipitation: A Case Study for Houston

2010 ◽  
Vol 37 (2) ◽  
pp. 284-304 ◽  
Author(s):  
J Marshall Shepherd ◽  
Michael Carter ◽  
Michael Manyin ◽  
Dmitry Messen ◽  
Steve Burian
Keyword(s):  
Impact Of Urbanization ◽  
The Impact

The impact of urbanization on agricultural dynamics: a case study in Belgium

2020 ◽  
Vol 15 (5) ◽  
pp. 626-643 ◽  
Author(s):  
Veronique Beckers ◽  
L. Poelmans ◽  
A. Van Rompaey ◽  
N. Dendoncker
Keyword(s):  
Impact Of Urbanization ◽  
The Impact
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