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Category: ensemble techniques

Why are meteorologists apprehensive of ensemble forecasts?

Why are meteorologists apprehensive of ensemble forecasts?

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Contributed by Anders Persson, Uppsala, Sweden A colleague in my world-wide meteorological network made me aware of a CALMet conference in Melbourne, i.e. dealing with meteorological education and training. Through the website you can access the program with more or less extensive abstracts. I have no doubt that most presentations were relevant and interesting, but what surprised me was that a search for the key words “probability” or “ensemble”  gave no hits. “Uncertainty” came up in only one (1) presentation,…

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Ensemble prediction: past, present and future

Ensemble prediction: past, present and future

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Contributed by Fredrik Wetterhall and Roberto Buizza, ECMWF The work of producing meteorological ensemble forecasts started 25 years ago at ECMWF and NCEP, and it sparked a revolution in both weather forecasts and its many applications. To celebrate this occasion, more than 100 people from across the world joined the 28 speakers at ECMWF’s Annual Seminar 11-14 September held in Reading, UK. The theme was “Ensemble prediction: past, present and future” and the four days where filled with presentations and…

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Hydrologic similarity: Bridging the gap between hyper-resolution and hydrologic ensemble prediction

Hydrologic similarity: Bridging the gap between hyper-resolution and hydrologic ensemble prediction

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Contributed by:  Nate Chaney (Princeton University) and Andy Newman (NCAR) The ever-increasing volume of global environmental data and the continual increase in computational power continue to drive a push towards fully distributed modeling of the hydrologic cycle at hyper-resolutions (10-100 meters) [Wood et al., 2011]. In principle, this has the potential to increase model fidelity and lead to more locally-relevant hydrologic predictions (e.g., soil moisture at the farm level). However, for the foreseeable future, due to computational constraints this modeling…

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High-resolution flood forecasting in Sweden: a status update

High-resolution flood forecasting in Sweden: a status update

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Contributed by Jonas Olsson (SMHI), member of the SMHI Guest Columnist Team Traditionally, hydrological activities (observations, modelling, forecasting) at SMHI have mainly focused on Sweden’s large rivers. The largest ones are Göta River with a catchment size of ~50 000 km² and Torne River with ~40 000 km² and then there are many (often regulated) with a catchment size of 20 000 to 30 000 km². The HBV model in combination with comparatively coarse-scale geographical and (in time and space) meteorological data has worked excellently…

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The Current State of Operational Global (and continental) Scale Flood Forecasting

The Current State of Operational Global (and continental) Scale Flood Forecasting

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contributed by Rebecca Emerton, PhD Student at the University of Reading and ECMWF After reading Chantal’s recent blog post discussing some of the limitations for international flood forecasting, and last week’s interview with Thomas Adams and Tom Pagano discussing their new book describing national and regional flood forecasting systems around the world, I thought it would be interesting to add to this dialogue with a brief overview of the current state of large-scale (global and continental) operational flood forecasting. It…

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