β Scribed by F. Pappenberger; K. Scipal; R. Buizza
No coin nor oath required. For personal study only.
All major weather forecast centres verify meteorological forecasts as a normal part of their operational duties, with verifications usually based on variables and methods of meteorological relevance. These forecasts are then often used to drive hydrological models, and this article demonstrates that a considerable gap exists between current meteorological practice and hydrological needs. This article discusses this gap in terms of the type of variables; the domain and resolution; the importance of choosing appropriate thresholds; and the smoothing and accumulation period. A list of recommendations for a userβfocused evaluation is given in the conclusions. We suggest that the meteorological community, and specifically the forecast centres, should consider making these adjustments and producing additional products suitable for hydrological applications. Copyright Β© 2008 Royal Meteorological Society
π SIMILAR VOLUMES
I t is hard and very often not possible to demonstrate economic benefits to national economies f r o m meteorological and hydrological activities. W e propose making a relative estimate of these benefits by evaluating data efficiency. Data efficiency is a function of six parameters, each of equal we
## Abstract This paper presents a strategy for diagnostic verification of hydrologic ensembles, based on the selection of summary verification metrics (which could be extended to more detailed metrics) and the analysis of the relative contribution of the different sources of error. Such diagnostic
## Abstract The spatial and temporal variability of the river discharges and precipitation from the southern part of Romania for 69 years, during the period 1931β99, is investigated. The study is based on river discharges (precipitation) data recorded at ten hydrometric and six meteorological stati