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BeRTISS PROJECT - BALKAN-MEDITERRANEAN REAL TIME SEVERE WEATHER SERVICE

机译:BeRTISS PROJECT-巴尔干-地中海实时严重天气服务

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This study aims to describe the main objectives and activities of the research project BeRTISS (Balkan-Mediterranean Real Time Severe weather Service) funded by the European Territorial Cooperation Programme "Interreg V-B Balkan-Mediterranean 2014-2020". BeRTISS targets to establish the first transnational operational service for monitoring severe weather events in the Balkan-Mediterranean area by exploiting Global Navigation Satellite Systems (GNSS) tropospheric products. GNSS signals transmitted from satellites to the ground reference stations are delayed by ionosphere and water vapor in troposphere. Ionospheric propagation delay can be easily removed, while tropospheric delay needs to be calculated using surface pressure and temperature variables. By knowing the tropospheric delay the Precipitable Water Vapour (PWV) which is the most abundant greenhouse gas is easily assessed. GNSS derived PWV has been proved to be a valuable data source for Numerical Weather Prediction (NWP) models in order to detect rapid moisture increases at intervals between the available every 1-6 hours prediction model updates and therefore improve the accuracy of forecast. BeRTISS real-time service, which will comprise the extension of the existing European GNSS network of tropospheric products, will provide continuous information for nowcasting and forecasting for PWV over Greece, Bulgaria and Cyprus using the GNSS derived tropospheric products and WRF (Weather Research and Forecasting) model.
机译:本研究旨在描述由欧洲领土合作计划“ Interreg V-B Balkan-Mediterranean 2014-2020”资助的BeRTISS(巴尔干-地中海实时严酷天气服务)研究项目的主要目标和活动。 BeRTISS的目标是通过开发全球导航卫星系统(GNSS)对流层产品,建立第一个跨国运营服务,以监视巴尔干-地中海地区的恶劣天气事件。从卫星传输到地面参考站的GNSS信号被电离层和对流层中的水蒸气延迟。电离层传播延迟可以轻松消除,而对流层延迟则需要使用表面压力和温度变量来计算。通过了解对流层延迟,可以轻松评估最丰富的温室气体即可沉淀水蒸气(PWV)。事实证明,从GNSS导出的PWV是数值天气预报(NWP)模型的宝贵数据源,以便在每1-6小时更新预报模型之间的间隔内检测到水分的快速增加,从而提高了预报的准确性。 BeRTISS实时服务将包括现有的欧洲GNSS对流层产品网络的扩展,将使用GNSS对流层产品和WRF(气象研究和预报)为希腊,保加利亚和塞浦路斯的PWV的即时预报和预报提供连续信息。 ) 模型。

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