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Statistical forecasting of daily precipitation
Il Nuovo Cimento C, 1989From the time series of daily precipitation observed in Modena (Italy) since 1830, a model for the daily statistical forecasting has been built. The main tool of the model is an urn which contains balls labelled by «wet» and «dry». The daily extraction from the urn determines whether, on that day, there will be a precipitation,i.e. if that day will be «
MORELLI, Sandra, SANTANGELO, Renato
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A Quality-Controlled Global Sub-daily Precipitation Dataset and Sub-daily Precipitation Indices
2020<p>Extremes of precipitation can cause flooding and droughts which can lead to substantial damages to infrastructure and ecosystems and can result in loss of life. It is still uncertain how hydrological extremes will change with global warming as we do not fully understand the processes that cause extreme precipitation under ...
Hayley Fowler +6 more
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Copula‐based downscaling of daily precipitation fields
Hydrological Processes, 2018AbstractA novel stochastic downscaling approach to simulate ensembles of daily precipitation fields using the Gaussian copula is presented. In contrast to many other statistical downscaling techniques, this approach uses spatial correlation (correlograms) to derive the transfer function between predictors and predictands for a parsimonious model ...
Manuel Lorenz +3 more
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Trends of the Daily Intensity of Precipitation in Italy and Teleconnections
Il Nuovo Cimento C, 2006Changes in daily precipitation frequency and distribution are studied by analyzing a daily precipitation data set covering the last 120 years for Italy. Data were homogenized on daily basis and completed by means of statistical methods. The following parameters were analyzed for each station record and averaged into some regional series for a synthetic
N. Brunetti, T. Nanni, M. Maugeri
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Generating Synthetic Daily Precipitation Realizations for Seasonal Precipitation Forecasts
Journal of Hydrologic Engineering, 2014AbstractSynthetic weather generation models that depend on statistics of past weather observations are often limited in their applications to issues that depend on historical weather characteristics. Enhancing these models to take advantage of increasingly available and skillful seasonal climate outlook products would broaden applications to include ...
Jurgen D. Garbrecht, John X. Zhang
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Forecasting of Daily and Nightly Convective Precipitation
2019 International Conference on Military Technologies (ICMT), 2019This article focuses on the description and comparison of the success rate of methods for prediction of convective precipitation occurring in the daily or nightly hours on the territory of the Zlin Region for the years 2015 to 2017. The first part analyzes a methodology of a new prediction tool-Algorithm of Storm Prediction which has been developed by ...
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Parsimony in modeling daily precipitation
Water Resources Research, 1979Two stochastic models for representing the sequence of daily precipitation amounts at a point, the Markov chain model proposed by Haan et al. [1976] and the chain‐dependent process proposed by Katz [1977a, 1977b], are contrasted. Through a further analysis of daily precipitation data, it is shown that there is a lack of evidence to support the ...
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RCM-Emulators for precipitation at daily scale
2022<p>Delivering reliable regional or local climate change projections for the next decades that are both at fine scale and taking into account all sources of uncertainty is currently an unsolvable problem with dynamical models such as RCMs or CPRCMs. Indeed, it requires building large ensembles to capture the various sources of uncertainty (
Antoine Doury +2 more
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Daily Precipitation Grids for South America
Bulletin of the American Meteorological Society, 2005Agridded dataset of historical daily precipitation for South America is now available to the public. We believe this dataset is a substantial improvement over what heretofore has been easily accessible because it contains data from numerous sources. Th ese data have been combined in a simple manner into daily 1° and 2.5° gridded fi elds for the period ...
Brant Liebmann, Dave Allured
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Conditioning stochastic daily precipitation models on total monthly precipitation
Water Resources Research, 1989Chain‐dependent stochastic daily precipitation models are fit to dry, near‐normal, and wet subsets of monthly total precipitation data, using category definitions consistent with the 30‐day forecasts issued by the Climate Analysis Center of the National Oceanic and Atmospheric Administration.
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