Results 31 to 40 of about 1,051,374 (303)

Hydrological impacts of climate change on small ungauged catchments – results from a global climate model–regional climate model–hydrologic model chain [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2020
Climate change is one of the greatest threats currently facing the world's environment. In Norway, a change in climate will strongly affect the pattern, frequency, and magnitudes of stream flows.
A. T. Tsegaw   +4 more
doaj   +1 more source

A Statistical Model for Regional Tornado Climate Studies. [PDF]

open access: yesPLoS ONE, 2015
Tornado reports are locally rare, often clustered, and of variable quality making it difficult to use them directly to describe regional tornado climatology.
Thomas H Jagger   +2 more
doaj   +1 more source

Evaluation of high-resolution regional climate model performance over Surabaya metropolitan area using RegCM5 MOLOCH core [PDF]

open access: yesBIO Web of Conferences
As climate change continue to impact weather patterns globally, understanding regional effects has become more important. Traditional global climate model lacks the resolution to capture the dynamics of regional climate, leading to uncertainties in ...
Dary Asyam Mulayyan   +3 more
doaj   +1 more source

Regional Climate Model Evaluation System powered by Apache Open Climate Workbench v1.3.0: an enabling tool for facilitating regional climate studies [PDF]

open access: yesGeoscientific Model Development, 2018
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

Atmosphere-Cryosphere Coupled Model for Regional Climate Applications

open access: yesAdvances in Meteorology, 2015
There have been significant advances in our understanding of the climate system, but two major problems still exist in modeling atmospheric response during cold seasons: (a) lack of detailed physical description of snow and frozen soil in the land ...
Ki-Hong Min, Wen-Yih Sun
doaj   +1 more source

Importance of internal variability for climate model assessment

open access: yesnpj Climate and Atmospheric Science, 2023
Benchmarking climate model simulations against observations of the climate is core to the process of building realistic climate models and developing accurate future projections.
Shipra Jain   +7 more
doaj   +1 more source

Internal Climate Variability in Global and Regional Climate Models

open access: yes, 2004
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

Global and regional importance of the direct dust-climate feedback. [PDF]

open access: yes, 2018
Feedbacks between the global dust cycle and the climate system might have amplified past climate changes. Yet, it remains unclear what role the dust-climate feedback will play in future anthropogenic climate change.
Evan, Amato T   +3 more
core   +2 more sources

Pairwise‐Interaction Model Unifies Different Asymptotic Shapes of UHI Intensity

open access: yesGeophysical Research Letters
City size is a primary determinant of the urban heat island (UHI) intensity, with its effects further nuanced by the urban form. But how to factor in the urban form into the UHI assessment remains unresolved.
Yunfei Li   +3 more
doaj   +1 more source

Can a regional climate model reproduce observed extreme temperatures?

open access: yesStatistica, 2013
Using output from a regional Swedish climate model and observations from the Swedish synoptic observational network, we compare seasonal minimum temperatures from model output and observations using marginal extreme value modeling techniques.
Peter F. Craigmile, Peter Guttorp
doaj   +1 more source

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