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Author: Jenny Rislund

CLEX 2021 Annual Workshop

The 2021 CEX annual workshop will be held virtually on November 16 and 17. The main focus of the two days will be a virtual poster and networking hall – very similar to last year’s successful online poster sessions using the Remo platform.

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BOM03: realise added value of bias correction and downscaling methods on hydrological projections

Hydrological impact studies analyse the effects of climate change on hydrological variables, such as changes in soil moisture, streamflow or hydrological extremes. This project aims to investigate the realised added value effect of model bias correction and downscaling methods on hydrological projections for Australia.

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BOM02: Impacts of hydrological extremes using machine learning

This project will explore the use of supervised and unsupervised statistical learning methods (such as neural networks, random forest, clustering) to understand the impact of climate change on hydrological extremes and/or to simulate downstream impacts on affected sectors, such as agriculture, energy, transport, water resources management.

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BOM01: Effects of compound hot and dry events on agricultural production in australia

The aim of this project is to investigate the effect of compound hot and dry events on agricultural production in Australia, and to assess the predictability of yield losses due to compound events using seasonal climate and hydrological forecasts. The outcome of the project may inform the development of seasonal forecasts of hydro-climatic risk indicators for agricultural production in Australia.

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UMELB03: Storm organisation and short duration extreme rainfall in Melbourne

In Melbourne, 50% of rainfall and 75% of extreme daily rainfall occurs on days with at least one linearly organized convective system. However, thunderstorms are often localized events, and much of the rainfall in a region falls over a short period of time. Furthermore, not all thunderstorms necessarily occur in lines, and organized storms that lead to extreme sub-daily rainfall may be different from those that lead to extreme daily rainfall. This projects aims to identify and categorize organizational structures linked with the most intense rainfalls in the region.

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