Local Flash Flood Warning System

Home , Flash flood warning

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Fully automated, it combines ground-based observations with meteorological radar data from:

 existing meteorological radar devices (such as those owned by a country’s national meteorological services)

 high-resolution local weather radar, such as the DHI Local Area Weather Radar (LAWR)

MAIN BUILDING BLOCKS The main building blocks of our Local Flash Flood Warning Sys- tem include:  MIKE CUSTOMISED – platform, tools, data conversions, pre- and post-processing, and scheduling  DIMS.CORE – data download and management, alarm distribution, and optional DHI LAWR June 2013 flood in Ceské Budejovice, Czech Republic. © DHI  MIKE SHE – distributed rainfall-runoff and water balance model A WIDE RANGE OF CUSTOMISABLE FEATURES  Dashboard Manager – web presentation and publishing The flexibility of our MIKE CUSTOMISED platform means the Local Flash Flood Warning System can be tailored to your The rainfall-runoff model in MIKE SHE uses the data to specific needs. It includes: simulate runoff hydrographs. Subsequently, our MIKE FLOOD software may then use the data from this model for one-  Time series analysis tools and visualisation of information – dimensional (1D) and two-dimensional (2D) hydrodynamic numerous data interfaces make it compatible with external simulation of flood routing in river channel networks and flood data providers in real time plains. Distributed deterministic modelling in MIKE SHE is also  GIS processing and visualisation with a range of built-in GIS used to update initial conditions for the next run of the model. providers, including Google Maps It is also used to simulate instantaneous soil retention capacity  Visualisation of forecasts using charts, tables and flood and water balance for the forecast period. maps for selected time steps Based on MIKE SHE results, the system then generates maps  DIMS.CORE (database) for data download, storage and indicating the relative danger of fast runoff occurrence in the management; alarm distribution; and plug-ins (for example, model area. Next, the maps and extracted information are DHI LAWR data processing) post-processed into user-friendly formats. This is then delivered via communication channels (such as SMS and  SMS, email and web publishing to manage the Internet) to decision makers and the wider public. Our MIKE dissemination of information, including data, maps, and CUSTOMISED Dashboard Manager allows users to view the reports

results directly and enables results to be published online.  Scenarios for comparative assessments of potential flood levels based on MIKE by DHI models or third party modelling tools

 Jobs scheduling that allows for the automation of user configured tasks

 Scripting tools based on the Python programming language, which enable users to develop their own tools

 Spreadsheets that allow for the creation of user defined analyses and reports

 Document storage to keep track of mission critical files and documents

 Metadata to qualify your data with descriptive information

 Indicators such as social, environmental and economic calculations to evaluate impacts in comparative scenario Example of simulated flood danger map for 4,000 km2 Sázava River assessments catchment (Czech Republic). This map utilises user-defined areas and compares simulated (black) and measured (blue) discharges in three  Ensembles to assess uncertainty, allowing for more robust selected flow gauges. decisions that take numerous possible futures into account

Contact: Jan Špatka - [email protected] or Pavel Tachecí - [email protected]