Contributed by James Bennett, Nick Loveday and Rob Taggart Guns n’ Roses were in town, and so was HEPEX. For many of us AMOS2022 was the first in-person conference we’d attended since the advent of the pandemic. This alone made it an amazing event – it was wonderful to see old and new faces and feed off the energy of others’ work. Like Slash returning to complete the original lineup, it felt like sinking into your favourite chair. AMOS is…
Contributed by Andres Peñuela, Christopher Hutton and Francesca Pianosi Improved skill of predictions for the North Atlantic circulation and Northern Europe have motivated an increasing effort to improve seasonal weather forecasting systems. Seasonal weather forecasts are expected to be useful for a range of purposes, including to improve the management of water resource systems. To contribute to the assessment of seasonal forecasts value for water managers, we ran a simulation exercise investigating how they could integrate seasonal forecast products in…
Contributed by Le Liu, PhD., School of Computer Science Northwestern Polytechnical University. As we know, ensemble approaches are widely adopted to estimate forecasts uncertainty. In atmospheric sciences, these approaches are specifically categorized into two types: multi-model ensembles and perturbed parameter ensembles. The former runs multiple numerical prediction models with the same initial parameters to estimate the atmospheric evolution, while the latter runs a single model multiple times with slightly perturbed initial conditions. They are usually combined to form the final forecast….
Contributed by Louise Arnal, Jess Neumann, Liz Stephens and Hannah Cloke This blog post is based on a paper recently published in Geoscience Communication, written in collaboration with Liz Anspoks, Sue Manson, Tim Norton and Louise Wolfenden from the Environment Agency. With the aim to better anticipate future floods, UK policy is seeing an ongoing shift from flood defence towards a forecast-based flood risk management approach, under the Flood and Water Management Act 2010. It is in this context that…
Contributed by Yating Tang1, Catherine Norwood2, Q J Wang1, Guy Ortlipp3, Mark Bailey3, and Kirsti Hakala1. Goulburn-Murray Water (GMW), Australia’s largest rural water corporation, has teamed up with researchers from the University of Melbourne to improve water forecasting in northern Victoria, to help irrigators with their business planning, cropping and water trading decisions. GMW is responsible for providing water availability information to local irrigators and other water users during the irrigation season each year. GMW provides two types of information…