scholarly journals Development of Flood Warning System and Flood Inundation Mapping Using Field Survey and LiDAR Data for the Grand River near the City of Painesville, Ohio

Hydrology ◽  
2017 ◽  
Vol 4 (2) ◽  
pp. 24 ◽  
Author(s):  
Niraj Lamichhane ◽  
Suresh Sharma
2011 ◽  
Vol 26 (7) ◽  
pp. 1079-1089 ◽  
Author(s):  
Jiun-Huei Jang ◽  
Pao-Shan Yu ◽  
Sen-Hai Yeh ◽  
Jin-Cheng Fu ◽  
Chen-Jia Huang

2020 ◽  
Vol 4 ◽  
pp. 96-109
Author(s):  
A.V. Romanov ◽  
◽  
M.V. Yachmenova ◽  

Based on the example of flood warning data provided by EFAS for the territory of Northwestern Administration for Hydrometeorology and Environmental Monitoring in 2018-2020, the structure of the systematized issues of the EFAS portal is analyzed. The issues determine a feedback for the year-round monitoring of the accuracy of flood forecasting using the LISFLOOD base model, as well as its calibration. Several most important feedback sections are highlighted, that allow improving significantly a procedure for the quantitative and qualitative differentiated assessment of short- and medium-range flood forecasts. Using the results of the numerical analysis, a general description of the EFAS flood warning system quality and the prospects for the participation of the Russian Federation in it are given. Keywords: flooding, hydrological forecasts, forecast lead time, feedback, forecast accuracy


Sign in / Sign up

Export Citation Format

Share Document