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Ensemble predictions of overall Asclepias distribution and each species for all four GCMs under the severe climate change scenario (A2).

Nathan P. Lemoine (694490)

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G. Pellerin
L. Lefaivre
P. Houtekamer
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Ensemble forecasts are run operationally since February 1998 at the Canadian Meteorological Centre,...

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Palmer, TN
Doblas-Reyes, FJ
Weisheimer, A
Rodwell, MJ

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Palmer, T
Doblas-Reyes, F
Hagedorn, R
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Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Mod...

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A model output statistics based method for downscaling of seasonal ensemble predictions is outlined,...

Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators

Llopis Albert, Carlos
Merigó-Lindahl, José María
Xu, Yejun
Liao, Huchang

January 2017

[EN] Decision makers express a strong need for reliable information on future climate changes to dev...

Robustness of Ensemble Climate Projections Analyzed with Climate Signal Maps: Seasonal and Extreme Precipitation for Germany

Susanne Pfeifer
Katharina Bülow
Andreas Gobiet
Andreas Hänsler
Manfred Mudelsee
Juliane Otto
Diana Rechid
Claas Teichmann
Daniela Jacob

May 2015

Climate signal maps can be used to identify regions where robust climate changes can be derived from...

Ensemble Forecasts: Probabilistic Seasonal Forecasts Based on a Model Ensemble

Hannah Aizenman

March 2016

Ensembles of general circulation model (GCM) integrations yield predictions for meteorological condi...

Ensemble projections of future Asclepias distributions during each of the spring months (March—June) under moderate and severe climate change scenarios.

Nathan P. Lemoine (694490)

February 2015

Ensemble projections were generated by averaging MaxEnt output from each of the four GCM predicti...

Ensemble predictions of overall Asclepias distribution and each species for all four GCMs under the moderate climate change scenario (B1).

Nathan P. Lemoine (694490)

February 2015

Ensemble predictions were created by averaging model output from all four GCM predictions. The th...

Strengthening forecasts of climate change impacts with multi-model ensemble averaged projections using MAGICC/SCENGEN 5.3

Fordham, D.
Wigley, T.
Watts, M.
Brook, B.

January 2012

Climate output from general circulation models (GCMs) is being used with increasing frequency to exp...

Ensemble predictions of overall Asclepias distribution and each species for all four GCMs under the severe climate change scenario (A2).

Nathan P. Lemoine (694490)

February 2015

Ensemble predictions were created by averaging model output from all four GCM predictions. The th...

－概要とその応用－

Shoukichi Yabu
Ryo Mizuta
Hiromasa Yoshimura
Yuhji Kuroda

January 2016

A new ensemble prediction system has been developed to facilitate climate research in the Meteorolog...

M.: Probability forecasts for seasonal average anomalies based on GCM ensemble means, COLA

Ruping Mo
David M. Straus

January 1999

We present two parametric probability methods for forecasting seasonal average anomalies based on th...

Increasing the horizontal resolution of ensemble forecasts at CMC

G. Pellerin
L. Lefaivre
P. Houtekamer
C. Girard

January 2003

Ensemble forecasts are run operationally since February 1998 at the Canadian Meteorological Centre,...

Toward seamless prediction: Calibration of climate change projections using seasonal forecasts

Palmer, TN
Doblas-Reyes, FJ
Weisheimer, A
Rodwell, MJ

April 2008

Trustworthy probabilistic projections of regional climate are essential for society to plan for futu...

Probabilistic prediction of climate using multi-model ensembles: from basics to applications.

Palmer, T
Doblas-Reyes, F
Hagedorn, R
Weisheimer, A

January 2005

The development of multi-model ensembles for reliable predictions of inter-annual climate fluctuatio...

Climate change impact assessment: Uncertainty modeling with imprecise probability

Ghosh, Subimal
Mujumdar, PP

September 2009

Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Mod...

Climate change impact assessment: uncertainty modeling with imprecise probability

Ghosh, Subimal
Mujumdar, P. P.

September 2009

Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Mod...

predictions

January 2004

A model output statistics based method for downscaling of seasonal ensemble predictions is outlined,...

Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators

Llopis Albert, Carlos
Merigó-Lindahl, José María
Xu, Yejun
Liao, Huchang

January 2017

[EN] Decision makers express a strong need for reliable information on future climate changes to dev...

Robustness of Ensemble Climate Projections Analyzed with Climate Signal Maps: Seasonal and Extreme Precipitation for Germany

Susanne Pfeifer
Katharina Bülow
Andreas Gobiet
Andreas Hänsler
Manfred Mudelsee
Juliane Otto
Diana Rechid
Claas Teichmann
Daniela Jacob

May 2015

Climate signal maps can be used to identify regions where robust climate changes can be derived from...

Ensemble Forecasts: Probabilistic Seasonal Forecasts Based on a Model Ensemble

Hannah Aizenman

March 2016

Ensembles of general circulation model (GCM) integrations yield predictions for meteorological condi...

Ensemble projections of future monarch distributions during each of the spring months (March—June) under moderate and severe climate change scenarios.

Abstract

Extracted data

Ensemble projections of future monarch distributions during each of the spring months (March—June) under moderate and severe climate change scenarios.

Abstract

Extracted data

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