The Integrated System of Hydrological Forecasting in the Ussuri River Basin Based on the ECOMAG Model

Autor: Andrei Bugaets, Boris Gartsman, Alexander Gelfan, Yury Motovilov, Oleg Sokolov, Leonid Gonchukov, Andrei Kalugin, Vsevolod Moreido, Zoya Suchilina, Evgeniya Fingert
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Geosciences, Vol 8, Iss 1, p 5 (2017)
Druh dokumentu: article
ISSN: 2076-3263
DOI: 10.3390/geosciences8010005
Popis: This paper considers the main principles and technologies used in developing the operational modeling system for the Ussuri River Basin of 24,400 km2 based on the automated system of hydrological monitoring and data management (ASHM), the physical-mathematical model with distributed parameters ECOMAG (ECOlogical Model for Applied Geophysics) and the numerical mesoscale atmosphere model WRF (Weather Research and Forecasting Model). The system is designed as a freely combined tool that allows flexible changing of the forecasting and informational components. The technology of inter-model and cross-platform interoperability is based on the use of the Simple Object Access Protocol (SOAP) web services and the Open Geospatial Consortium Open Modelling Interface (OGC OpenMI) standard. The system demonstrates good performance in short-term forecast of rainfall floods and reproduces complex spatio-temporal structure for the runoff formation during extreme rainfall.
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