A Bridge between Short-Range and Seasonal Forecasts: Data-Based First Passage Time Prediction in Temperatures

A Bridge between Short-Range and Seasonal Forecasts: Data-Based First Passage Time Prediction in Temperatures

Current conventional weather forecasts are based on high-dimensional numerical models. They are usually only skillful up to a maximum lead time of around 7 days due to the chaotic nature of the climate dynamics and the related exponential growth of model and data initialisation errors. Even the full...

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Bibliographic Details
Main Author: Wulffen, Anja von
Other Authors: Technische Universität Dresden, Fakultät Mathematik und Naturwissenschaften
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2013
Subjects:
Temperatur
Vorhersage
Wiederkehrzeit
Nordatlantische Oszillation
statistische Datenanalyse
Zeitreihenanalyse
temperature
forecasting
first passage time
North Atlantic Oscillation
Statistical data analysis
time series analysis
ddc:530
rvk:UT 6210
rvk:UT 6240
rvk:SK 845
Datenanalyse
Lufttemperatur
Wettervorhersage
Kurzfristige Prognose
Langfristige Prognose
Prognoseverfahren
Nordatlantik-Oszillation
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-104493
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-104493
http://www.qucosa.de/fileadmin/data/qucosa/documents/10449/thesis_wulffen.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-104493
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-104493
http://www.qucosa.de/fileadmin/data/qucosa/documents/10449/thesis_wulffen.pdf

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