Can we achieve seasonally coherent forecasts given limited NWP data – across a continental domain?

Reliable weather forecasts are critical for the planning and management of a variety of social and economic activities, such as water management. To make such forecasts, numerical weather prediction (NWP) models have been developed. However, NWP models are […]

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HEPEX Highlights from EGU 2018

Last week, 15,075 scientists from 106 countries attended the European Geosciences Union (EGU) General Assembly in Vienna. The week was jam-packed with more than 17,000 talks, posters and PICO presentations in 666 different sessions. The HEPEX community was […]

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Meeting user needs for sub-seasonal streamflow forecasts in Australia

Good streamflow forecasts allow water management agencies to make better decisions and achieve more efficient water use. Currently, the Australian Bureau of Meteorology provides seasonal forecasts of three-month-total streamflow for over 200 gauging stations around Australia. Forecast users, particularly water management […]

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Making connections through HEPEX – A CSIRO experience

HEPEX has a reputation as a strong community of like-minded, supportive researchers and practitioners who are collectively bent on significantly advancing the science and applications of ensemble hydrological forecasting. HEPEX provides a unique forum where meeting people and […]

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The quest for better global precipitation data

Information on precipitation is essential for almost any hydrological study. Unfortunately, precipitation is also one of the most difficult to estimate meteorological variables, due its tremendous spatio-temporal heterogeneity, particularly in tropical, mountainous, and snow-dominated regions. Over the past […]

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Get your geek on: handling data for ensemble forecasting

There’s something about discussions of data handling that’s particularly soporific – but don’t nod off yet! Most hydrologists are trained to work on individual catchments and we often opt for simple conceptual models. In the pre-ensemble era, we […]

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