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Visualising flood forecasting uncertainty : some current European EPS platforms – COST731 Working Group 3
Bruen, Michael; Krahe, P.; Zappa, Massimiliano; Olsson, … - 2010
international research cooperation. COST731 was established to study the propagation of uncertainty from hydro … uncertainty is presented to the end-user and how it is used. COST731 has assembled a number of demonstrations/case studies that …COST funding allows European scientists establish international links, communicate their work to colleagues and promote …
Persistent link: https://www.econbiz.de/10009475683
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Adaptive post-processing of short-term wind forecasts for energy applications
Sweeney, Conor; Lynch, Peter - 2010
We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...
Persistent link: https://www.econbiz.de/10009475712
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The influence of fundamental factors and systematic risk to stock prices on companies listed in the Indonesian stock exchange
Astuty, Pudji - In: European research studies 20 (2017) 4A, pp. 230-240
Persistent link: https://www.econbiz.de/10012219425
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Reducing errors of wind speed forecasts by anoptimal combination of post-processing methods
Sweeney, Conor; Lynch, Peter; Nolan, Paul - 2011
Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds over a two year period are compared to observed wind speeds at seven synoptic...
Persistent link: https://www.econbiz.de/10009475735
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Meteorological drought over the Chinese Loess Plateau: 1971–2010
Zhao, Xining; Wu, Pute - In: Natural Hazards 67 (2013) 2, pp. 951-961
In this study, the Variable Infiltration Capacity model and Palmer Drought Severity Index (PDSI) were combined for drought identification on the Loess Plateau. The calibration method of climatic characteristic (K <Subscript> j </Subscript>) in PDSI was improved. Land cover datasets in 1980 and 2005 were used to drive...</subscript>
Persistent link: https://www.econbiz.de/10010996849
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Hydrometeorological Aspects of Floods in India
Dhar, O.; Nandargi, Shobha - In: Natural Hazards 28 (2003) 1, pp. 1-33
The Indian sub-continent being located in the heart of the summermonsoon belt, receives in most parts more than 75% of its annual rainfall during the fourmonsoon months of June to September. As the bulk of summer monsoon rainfall occurs withina period of four months, naturally majority of floods...
Persistent link: https://www.econbiz.de/10010846883
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Salida de operadores privados internacionales de agua en América Latina
Ducci, Jorge - Inter-American Development Bank - 2007
Hacia fines de los años noventa un número significativo de países de América Latina contaba con la presencia de importantes operadores internacionales en el sector de servicios de agua potable y alcantarillado. Se esperaba que este proceso se siguiera expandiendo y profundizando. Sin...
Persistent link: https://www.econbiz.de/10010653997
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Salida de operadores privados internacionales de agua en América Latina
Ducci, Jorge - Inter-American Development Bank - 2007
Hacia fines de los años noventa un número significativo de países de América Latina contaba con la presencia de importantes operadores internacionales en el sector de servicios de agua potable y alcantarillado. Se esperaba que este proceso se siguiera expandiendo y profundizando. Sin...
Persistent link: https://www.econbiz.de/10009199296
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A Participatory Approach for Hydrometeorological Monitoring in the Blue Nile River Basin of Ethiopia.
Zemadim, B.; McCartney, Matthew.; Langan, Simon.; … - International Water Management Institute (IWMI) - 2013
Persistent link: https://www.econbiz.de/10011205353
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Hospital costs and unexpected demand: The case of Greece
Boutsioli, Zoe - In: The Open Economics Journal 4 (2011), pp. 49-58
Demand for hospital inpatient care varies in a consistent way. However, a part of this variability is unpredictable. Hospitals react to this situation by holding standby capacity in order to be prepared to meet unanticipated surges in demand. This paper examines the production responses to...
Persistent link: https://www.econbiz.de/10010290083