Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies [PDF]
The Regional Climate Model Evaluation System (RCMES) is an enabling tool of the National Aeronautics and Space Administration to support the United States National Climate Assessment. As a comprehensive system for evaluating climate models on regional
H. Lee +8 more
doaj +1 more source
Internal Climate Variability in Global and Regional Climate Models
Internally generated climate variability on decadal to centennial time scales was studied with a hierarchy of climate models, including global as well as regional models. The analyses of long-term model integrations over 1000 years with global models of different complexity showed their potential to generate interannual to interdecadal variability ...
Handorf, D +4 more
openaire +2 more sources
Non-parametric Bayesian mixture of sparse regressions with application towards feature selection for statistical downscaling [PDF]
Climate projections simulated by Global Climate Models (GCMs) are often used for assessing the impacts of climate change. However, the relatively coarse resolutions of GCM outputs often preclude their application to accurately assessing the effects of ...
D. Das +4 more
doaj +1 more source
Assessing Ozone-Related Health Impacts under a Changing Climate [PDF]
Climate change may increase the frequency and intensity of ozone episodes in future summers in the United States. However, only recently have models become available that can assess the impact of climate change on O(3) concentrations and health effects ...
Anderson RN +11 more
core +2 more sources
Reliability of regional climate model trends [PDF]
A necessary condition for a good probabilistic forecast is that the forecast system is shown to be reliable: forecast probabilities should equal observed probabilities verified over a large number of cases. As climate change trends are now emerging from the natural variability, we can apply this concept to climate predictions and compute the ...
van Oldenborgh, G.J. +3 more
openaire +4 more sources
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala +15 more
wiley +1 more source
Regional climate change: consensus, discrepancies, and ways forward
Climate change has emerged across many regions. Some observed regional climate changes, such as amplified Arctic warming and land-sea warming contrasts have been predicted by climate models.
Tiffany A. Shaw +22 more
doaj +1 more source
Review of Surface Solar Radiation Projections in Bias-Corrected Euro-Cordex Regional Climate Models
Regional climate models (RCMs) are used in a wide range of climate applications as they can provide high resolution (up to 10 to 20 km or less) and multi-decadal simulations of the climate system describing climate feedback mechanisms acting at the ...
Bartók Blanka
doaj +1 more source
Regional Climate Sensitivity of Climate Extremes in CMIP6 Versus CMIP5 Multimodel Ensembles
We analyze projected changes in climate extremes (extreme temperatures and heavy precipitation) in the multimodel ensembles of the fifth and sixth Coupled Model Intercomparison Projects (CMIP5 and CMIP6).
Sonia I. Seneviratne, Mathias Hauser
doaj +1 more source
Bringing Statistical Learning Machines Together for Hydro-Climatological Predictions - Case Study for Sacramento San Joaquin River Basin, California [PDF]
Study region: Sacramento San Joaquin River Basin, California Study focus: The study forecasts the streamflow at a regional scale within SSJ river basin with largescale climate variables. The proposed approach eliminates the bias resulting from predefined
Ahmad, Sajjad +4 more
core +2 more sources

