Zobrazeno 1 - 10
of 5 593
pro vyhledávání: 'Hagedorn, Renate'
Publikováno v:
In International Journal of Disaster Risk Reduction September 2018 30 Part A:74-80
We evaluate the performance of two 44 year ensemble seasonal hindcast time series for the Nino3 index produced as part of the DEMETER project. We show that the ensemble mean carries useful information out to six months. The ensemble spread, however,
Externí odkaz:
http://arxiv.org/abs/physics/0308065
Autor:
Tim Palmer, Renate Hagedorn
The topic of predictability in weather and climate has advanced significantly in recent years, both in understanding the phenomena that affect weather and climate and in techniques used to model and forecast them. This book, first published in 2006,
Publikováno v:
Meteorologische Zeitschrift, Vol 9, Iss 1, Pp 7-20 (2000)
A three-dimensional fully coupled high resolution atmosphere-ocean model for the BALTEX (Baltic Sea Experiment) region has been developed from two independent models, the atmospheric regional model REMO and the Kiel Baltic Sea model. The coupled mode
Externí odkaz:
https://doaj.org/article/f785bd054f1d4982aa564c0d6ce25268
Autor:
Turnock, David
Publikováno v:
In Land Use Policy 2004 21(1):99-100
Publikováno v:
Monthly Weather Review. Jul2008, Vol. 136 Issue 7, p2608-2619. 12p. 7 Graphs, 2 Maps.
Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation.
Publikováno v:
Monthly Weather Review. Jul2008, Vol. 136 Issue 7, p2620-2632. 13p. 9 Graphs, 2 Maps.
Autor:
Doblas-Reyes, Francisco J.1 francisco.doblas-reyes@ecmwf.int, Hagedorn, Renate1, Palmer, T. N.1
Publikováno v:
Tellus: Series A. May2005, Vol. 57 Issue 3, p234-252. 19p. 2 Charts, 11 Graphs, 1 Map.
Publikováno v:
Quarterly Journal of the Royal Meteorological Society; Sep2019 Supplement S1, Vol. 145, p210-231, 22p
The rationale behind the success of multi-model ensembles in seasonal forecasting– I. Basic concept.
Publikováno v:
Tellus: Series A. May2005, Vol. 57 Issue 3, p219-233. 15p. 1 Diagram, 2 Charts, 8 Graphs, 1 Map.