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Pre-Operational Application of a WRF-Hydro-Based Fluvial Flood Forecasting System in the Southeast Mediterranean
- Source :
- Forecasting, Vol 3, Iss 26, Pp 437-446 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The Southeast Mediterranean (SEM) is characterized by increased vulnerability to river/stream flooding. However, impact-oriented, operational fluvial flood forecasting is far away from maturity in the region. The current paper presents the first attempt at introducing an operational impact-based warning system in the area, which is founded on the coupling of a state-of-the-art numerical weather prediction model with an advanced spatially-explicit hydrological model. The system’s modeling methodology and forecasting scheme are presented, as well as prototype results, which were derived under a pre-operational mode. Future developments and challenges needed to be addressed in terms of validating the system and increasing its efficiency are also discussed. This communication highlights that standard approaches used in operational weather forecasting in the SEM for providing flood-related information and alerts can, and should, be replaced by advanced coupled hydrometeorological systems, which can be implemented without a significant cost on the operational character of the provided services. This is of great importance in establishing effective early warning services for fluvial flooding in the region.
- Subjects :
- warnings
Science (General)
010504 meteorology & atmospheric sciences
0208 environmental biotechnology
Flood forecasting
Weather forecasting
forecasting
02 engineering and technology
computer.software_genre
01 natural sciences
Q1-390
impact-based
QA1-939
Hydrometeorology
0105 earth and related environmental sciences
Flood myth
Warning system
business.industry
Environmental resource management
Flooding (psychology)
WRF-Hydro
flood
Numerical weather prediction
020801 environmental engineering
Weather Research and Forecasting Model
Environmental science
business
hydrometeorology
computer
Mathematics
Subjects
Details
- Language :
- English
- ISSN :
- 25719394
- Volume :
- 3
- Issue :
- 26
- Database :
- OpenAIRE
- Journal :
- Forecasting
- Accession number :
- edsair.doi.dedup.....94a253cfdfe5892439d6170fc0aadafe