The present study focuses on the evaluation and comparison of the ability of two versions of the Canadian Regional Climate Model (CRCM) driven by re-analyses (NCEP–NCAR) to reproduce the observed extremes and climate variability in summer (1961–1990). The analysed variables are daily precipitation, minimum and maximum temperatures over three regions located in north-eastern North America that are characterized by different topography and observation density. The validation has been performed with multiple climate extreme indices characterizing the frequency, intensity and duration of precipitation and temperature events. The assessment of the ability of the CRCM is done through an in-depth analysis of the statistical distribution, performan...
The information from the Canadian Regional Climate Model (CRCM) can be applied to improve predict...
. The representation and projection of extreme temperature and precipitation events in regional and ...
Study region: An analysis of hydrological response to a dynamically downscaled multi-member multi-mo...
This study evaluates projected changes to characteristics of winter, spring, summer and fall seasona...
This study analyzes the uncertainty of seasonal (winter and summer) precipitation extremes as simula...
The primary tools to assess climate change are the Atmosphere–Ocean General Circulation Model (AOGCM...
This study aims to provide a deeper understanding of the level of uncertainty associated with the de...
grantor: University of TorontoIn order to study the impact of incremental climatic warming...
AbstractThis study aims to provide a deeper understanding of the level of uncertainty associated wit...
We analyze daily precipitation extremes produced by a six-member ensemble of the Pan-Arctic Weather ...
The skill of eight climate models in simulating the variability and trends in the observed areal ext...
Changes to the intensity and frequency of hydroclimatic extremes can have significant impacts on sec...
© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.Natur...
Multi-model ensembles for climate modeling, which have generally proven to have a superior performan...
Land-atmosphere coupling and its impact on extreme precipitation and temperature events over North A...
The information from the Canadian Regional Climate Model (CRCM) can be applied to improve predict...
. The representation and projection of extreme temperature and precipitation events in regional and ...
Study region: An analysis of hydrological response to a dynamically downscaled multi-member multi-mo...
This study evaluates projected changes to characteristics of winter, spring, summer and fall seasona...
This study analyzes the uncertainty of seasonal (winter and summer) precipitation extremes as simula...
The primary tools to assess climate change are the Atmosphere–Ocean General Circulation Model (AOGCM...
This study aims to provide a deeper understanding of the level of uncertainty associated with the de...
grantor: University of TorontoIn order to study the impact of incremental climatic warming...
AbstractThis study aims to provide a deeper understanding of the level of uncertainty associated wit...
We analyze daily precipitation extremes produced by a six-member ensemble of the Pan-Arctic Weather ...
The skill of eight climate models in simulating the variability and trends in the observed areal ext...
Changes to the intensity and frequency of hydroclimatic extremes can have significant impacts on sec...
© Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License.Natur...
Multi-model ensembles for climate modeling, which have generally proven to have a superior performan...
Land-atmosphere coupling and its impact on extreme precipitation and temperature events over North A...
The information from the Canadian Regional Climate Model (CRCM) can be applied to improve predict...
. The representation and projection of extreme temperature and precipitation events in regional and ...
Study region: An analysis of hydrological response to a dynamically downscaled multi-member multi-mo...