Linking climate c hange modelling to impacts studies
There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …
methods for different climatic variables, in different regions and seasons. However, little …
The use of the multi-model ensemble in probabilistic climate projections
Recent coordinated efforts, in which numerous climate models have been run for a common
set of experiments, have produced large datasets of projections of future climate for various …
set of experiments, have produced large datasets of projections of future climate for various …
Challenges in combining projections from multiple climate models
Recent coordinated efforts, in which numerous general circulation climate models have
been run for a common set of experiments, have produced large datasets of projections of …
been run for a common set of experiments, have produced large datasets of projections of …
The WCRP CMIP3 multimodel dataset: A new era in climate change research
A coordinated set of global coupled climate model [atmosphere–ocean general circulation
model (AOGCM)] experiments for twentieth-and twenty-first-century climate, as well as …
model (AOGCM)] experiments for twentieth-and twenty-first-century climate, as well as …
A CMIP5 multimodel projection of future temperature, precipitation, and climatological drought in China.
L Wang, W Chen - International Journal of Climatology, 2014 - search.ebscohost.com
ABSTRACT In this study, fine-resolution multimodel climate projections over China are
developed based on 35 climate models and two emissions scenarios (RCP4. 5 and RCP8 …
developed based on 35 climate models and two emissions scenarios (RCP4. 5 and RCP8 …
The end of model democracy? An editorial comment
R Knutti - Climatic change, 2010 - Springer
Imagine you are hosting a garden party tomorrow and you are trying to decide whether or
not to put up a tent against the rain. You read the weather forecast in the newspaper and you …
not to put up a tent against the rain. You read the weather forecast in the newspaper and you …
Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling
Analyses of ecological data should account for the uncertainty in the process (es) that
generated the data. However, accounting for these uncertainties is a difficult task, since …
generated the data. However, accounting for these uncertainties is a difficult task, since …
Ensemble modeling, uncertainty and robust predictions
WS Parker - Wiley interdisciplinary reviews: Climate change, 2013 - Wiley Online Library
Many studies of future climate change take an ensemble modeling approach in which
simulations of future conditions are produced with multiple climate models (or model …
simulations of future conditions are produced with multiple climate models (or model …
History matching for exploring and reducing climate model parameter space using observations and a large perturbed physics ensemble
We apply an established statistical methodology called history matching to constrain the
parameter space of a coupled non-flux-adjusted climate model (the third Hadley Centre …
parameter space of a coupled non-flux-adjusted climate model (the third Hadley Centre …
[HTML][HTML] Addressing interdependency in a multimodel ensemble by interpolation of model properties
Addressing Interdependency in a Multimodel Ensemble by Interpolation of Model Properties
in: Journal of Climate Volume 28 Issue 13 (2015) Jump to Content Jump to Main Navigation …
in: Journal of Climate Volume 28 Issue 13 (2015) Jump to Content Jump to Main Navigation …