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This document discusses annual precipitation trends in Southeastern Hungary, analyzing long-term data and the tendency of the Palmer Drought Severity Index (PDSI) in the southern part of Hungary. It includes insights into apple ripening models and the effects of root depth on available water resources. Additionally, it addresses probabilistic forecasting methods, including the evaluation of forecast accuracy and user needs. The document emphasizes the importance of continuous adaptation of forecasts using the latest climate data, ultimately aiming to provide valuable climatic information to users.
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Long time series of annual precipitation sum in SE of Hungary
Address • //kanna1.met.hu
Catégories Forecast Probabilistic Forecast
Catégories Forecast • How to define the categories? • Number • Categories Limits • Needs of user? • How to evaluate the forecasted probabilities for each category? • Frequency/Probability , Climatological Probabilities, Conditionnal probabilities, Confidence Indice • Statistical Models • Numerical Models • How to transform the forecast in « readable and comprehensive » form for the user?
Seasonnal Forecasting Process in Africa - RCOF (1) • Dissemination • Dissemination of products by the NMHS, and interpretation to the benefit of users including national adaptation of regional products. • Update of the forecasts (Monthly base) : • Continuous adaptation of the forecasts to the last available information on the climate system and its evolutions (notably update of the SST). • Evaluation of Forecasts : • Quality of rainfall forecasts (technical evaluation) and use of the Forecasts (Users’ point of view evaluation – interest and value).
Predictability • Actors and Associated Scales
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Caribbean workshop, Jamaica 2001 (Peterson et al., 2002, JGR)
Long time series of annual precipitation sum in SE of Hungary