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Ensemble post-processing of daily precipitation sums over complex terrain using censored high-resolution standardized anomalies
Stauffer, Reto; Messner, Jakob; Mayr, Georg. J.; … - 2016
the forecasts. This article presents a new full-distributional spatial post-processing method for daily precipitation sums …
Persistent link: https://www.econbiz.de/10011499000
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Spatio-temporal precipitation climatology over complex terrain using a censored additive regression model
Stauffer, Reto; Messner, Jakob W.; Mayr, Georg J.; … - 2016
Flexible spatio-temporal models are widely used to create reliable and accurate estimates for precipitation … distribution of precipitation on a daily time scale over complex terrain using a left-censored normal distribution. The results …
Persistent link: https://www.econbiz.de/10011531584
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Spatio-temporal precipitation climatology over complex terrain using a censored additive regression model
Stauffer, Reto; Messner, Jakob W.; Mayr, Georg. J.; … - 2016
Flexible spatio-temporal models are widely used to create reliable and accurate estimates for precipitation … distribution of precipitation on a daily time scale over complex terrain using a left-censored normal distribution. The results …
Persistent link: https://www.econbiz.de/10011447417
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Spatial ensemble post-processing with standardized anomalies
Dabernig, Markus; Mayr, Georg J.; Messner, Jakob W.; … - 2016
To post-process ensemble predictions to a particular location, often statistical methods are used, especially in complex terrain such as the Alps. When expanded to several stations, the post-processing has to be repeated at every station individually thus losing information about spatial...
Persistent link: https://www.econbiz.de/10011531585
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Spatial ensemble post-processing with standardized anomalies
Dabernig, Markus; Mayr, Georg. J.; Messner, Jakob W.; … - 2016
To post-process ensemble predictions to a particular location, often statistical methods are used, especially in complex terrain such as the Alps. When expanded to several stations, the post-processing has to be repeated at every station individually thus losing information about spatial...
Persistent link: https://www.econbiz.de/10011449375
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Analysing mechanisms for meeting global emissions target: A dynamical systems approach
Ranganathan, Shyam; Swain, Ranjula Bali - 2014
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10011396730
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Tricks for improving non-homogeneous regression for probabilistic precipitation forecasts: Perfect predictions, heavy tails, and link functions
Gebetsberger, Manuel; Messner, Jakob W.; Mayr, Georg J.; … - 2016
Raw ensemble forecasts display large errors in predicting precipitation amounts and its forecast uncertainty … applied to obtain automatically corrected weather forecasts where precipitation represents one of the most challenging … statistical model assumes a censored logistic distribution to deal with the heavy tails of precipitation amounts. Finally, the …
Persistent link: https://www.econbiz.de/10011622775
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Tricks for improving non-homogeneous regression for probabilistic precipitation forecasts : perfect predictions, heavy tails, and link functions
Gebetsberger, Manuel; Messner, Jakob W.; Mayr, Georg. J.; … - 2016
Raw ensemble forecasts display large errors in predicting precipitation amounts and its forecast uncertainty … applied to obtain automatically corrected weather forecasts where precipitation represents one of the most challenging … statistical model assumes a censored logistic distribution to deal with the heavy tails of precipitation amounts. Finally, the …
Persistent link: https://www.econbiz.de/10011542308
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Analysing mechanisms for meeting global emissions target : a dynamical systems approach
Ranganathan, Shyam; Swain, Ranjula Bali - 2014
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10010428663
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Analysing Mechanisms for Meeting Global Emissions Target - A Dynamical Systems Approach
Ranganathan, Shyam; Bali Swain, Ranjula - Nationalekonomiska Institutionen, Uppsala Universitet - 2014
Global emissions beyond 44 gigatonnes of carbondioxide equivalent (GtCO2e) in 2020 can potentially lead the world to an irreversible climate change. Employing a novel dynamical system modeling approach, we predict that in a business-asusual scenario, it will reach 61 GtCO2e by 2020. Testing...
Persistent link: https://www.econbiz.de/10010945074