Forecasting of flash floods by Algorithm of Storm Prediction

This article focuses on the forecasting of flash floods using the Algorithm of Storm Prediction as a new tool to predict convective precipitation, severe phenomena and the risk of flash floods. The first part of the article contains information on methods for predicting dangerous severe phenomena. T...

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Main Authors: Šaur David, Víchová Kateřina
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201821004033
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author Šaur David
Víchová Kateřina
author_facet Šaur David
Víchová Kateřina
author_sort Šaur David
collection DOAJ
description This article focuses on the forecasting of flash floods using the Algorithm of Storm Prediction as a new tool to predict convective precipitation, severe phenomena and the risk of flash floods. The first part of the article contains information on methods for predicting dangerous severe phenomena. This algorithm uses mainly data from numerical weather prediction models (NWP models), database of historic weather events and relief characteristics describing the influence of orography on the initiation of atmospheric convection. The result section includes verification of predicted algorithm outputs, selected NWP models and warnings of CHMI and ESTOFEX on three events related to the floods that hit the Zlín Region between years of 2015 - 2017. The main result is a report with prediction outputs of the algorithm visualized in maps for the territory of municipalities with extended competence and their regions. The outputs of the algorithm will be used primarily to increase the effectiveness of preventive measures against flash floods not only by the Fire Rescue Service of Czech Republic but also by the flood and crisis management authorities.
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spelling doaj.art-268f161b50c643c7ad424fb61d9e34ac2022-12-21T19:48:46ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012100403310.1051/matecconf/201821004033matecconf_cscc2018_04033Forecasting of flash floods by Algorithm of Storm PredictionŠaur DavidVíchová KateřinaThis article focuses on the forecasting of flash floods using the Algorithm of Storm Prediction as a new tool to predict convective precipitation, severe phenomena and the risk of flash floods. The first part of the article contains information on methods for predicting dangerous severe phenomena. This algorithm uses mainly data from numerical weather prediction models (NWP models), database of historic weather events and relief characteristics describing the influence of orography on the initiation of atmospheric convection. The result section includes verification of predicted algorithm outputs, selected NWP models and warnings of CHMI and ESTOFEX on three events related to the floods that hit the Zlín Region between years of 2015 - 2017. The main result is a report with prediction outputs of the algorithm visualized in maps for the territory of municipalities with extended competence and their regions. The outputs of the algorithm will be used primarily to increase the effectiveness of preventive measures against flash floods not only by the Fire Rescue Service of Czech Republic but also by the flood and crisis management authorities.https://doi.org/10.1051/matecconf/201821004033
spellingShingle Šaur David
Víchová Kateřina
Forecasting of flash floods by Algorithm of Storm Prediction
MATEC Web of Conferences
title Forecasting of flash floods by Algorithm of Storm Prediction
title_full Forecasting of flash floods by Algorithm of Storm Prediction
title_fullStr Forecasting of flash floods by Algorithm of Storm Prediction
title_full_unstemmed Forecasting of flash floods by Algorithm of Storm Prediction
title_short Forecasting of flash floods by Algorithm of Storm Prediction
title_sort forecasting of flash floods by algorithm of storm prediction
url https://doi.org/10.1051/matecconf/201821004033
work_keys_str_mv AT saurdavid forecastingofflashfloodsbyalgorithmofstormprediction
AT vichovakaterina forecastingofflashfloodsbyalgorithmofstormprediction