KER 8 – Coupled Multi-nested Local Scale Modelling

The diverse risk assessment framework, developed in PLOTO to support Inland WaterWay (IWW) operations, will exhibit the ability to quantify weather-related hazards among others. As weather-related hazards can manifest either through long-term exposure to unfavourable conditions or as a result of short-term extreme events, the risk assessment system must heavily exploit modelling approaches which can capture the relevant physical processes behind different weather events. In this context, FMI’s role is to provide detailed information on wind-related hazards. This is achieved by exploiting supercomputing to carry out high-resolution modelling of atmospheric turbulence over selected pilot sites to provide scalable and accurate gust predictions and wind shear distributions on river surfaces. The wind is challenging to model accurately because it strongly interacts with the terrain surface while being directionally sensitive and requires capturing a wide range of temporal and spatial scales. For this reason, the models must utilize a nested modelling approach and feature a detailed description of the land surface and topographic features such as hills, buildings and vegetation because such details strongly influence the local wind conditions. The obtained 3D model results are analyzed and post-processed such that they can be conveniently utilized by the PLOTO system either in an operative manner (to provide now-casting and warnings) or to carry out long-term risk assessment analysis over different climate scenarios.

Written by Mikko Auvinen and Antti Hellsten, Finnish Meteorological Institute (FMI)

KER10: PLOTO Integrated Platform for Inland Waterways Resilience

KER10: PLOTO Integrated Platform for Inland Waterways Resilience

The main outcome of the PLOTO project will be the integrated PLOTO platform. All tools, services and solutions (be it existing or emerging) that are considered in the context of PLOTO, will be leveraged in order to develop an integrated planning platform that can be...

KER 9 – Fore-Now/Casting Weather Predictions tool 

KER 9 – Fore-Now/Casting Weather Predictions tool 

It is a common practice among scientists to employ ground-based monitoring in order to gain information regarding meteorological and climate aspects and the related exposure risks, as this is expected to provide the best estimates. This approach may be suitable when a...