50 shades of green: lessons about business models for climate services

50 shades of green: lessons about business models for climate services

Contributed by Francesca Larosa (Euro-Mediterranean Center on Climate Change (CMCC), Ca’ Foscari University, and  UCL Energy Institute | UCL Institute for Sustainable Resources) Climate services are essential for adaptation to climate variability and change The transition towards a zero-carbon economy is profoundly reshaping the business-as-usual. If, on one hand, we must cut down our emissions and restructure the way our economies work, on the other hand we need to use the science we have and the tremendous technological progresses we…

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Machine learning for probabilistic hydrological forecasting

Machine learning for probabilistic hydrological forecasting

Contributed by Georgia Papacharalampous and Hristos Tyralis We would firstly like to thank HEPEX for giving us the opportunity to set a background on how machine learning can be used in probabilistic hydrological forecasting.  In this blog post, we start by providing the schematic summary of the discussion given below. Hope you will enjoy the reading! Learning practical problems with data: A machine learning algorithm can be explicitly trained for probabilistic hydrological forecasting Let’s suppose one of our most familiar…

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Celebrating the new hydrological year with a new HEPEX blog year: Let’s co-generate the HEPEX blog global pattern

Celebrating the new hydrological year with a new HEPEX blog year: Let’s co-generate the HEPEX blog global pattern

Happy New Hydrological Year!! According to USGS and based on meteorological and geographical factors, the hydrological year is defined as the period between October 1st of one year and September 30th of the next year. Driven by this, HEPEX will set for this year a new interactive approach for scheduling the blogs with and for the community. The blog has been our channel to communicate scientific achievements, insights and developments. As a blogger, you do not need to be outstanding…

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“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England

“Are we talking just a bit of water out of bank? Or is it Armageddon?” Front line perspectives on transitioning to probabilistic fluvial flood forecasts in England

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…

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New water modelling to improve irrigation outlook accuracy

New water modelling to improve irrigation outlook accuracy

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…

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