Results 41 to 50 of about 4,088,927 (359)
Climate Dynamics, 2021 Central Asia (CA) is among the most vulnerable regions to climate change due to the fragile ecosystems, frequent natural hazards, strained water resources, and accelerated glacier melting, which underscores the need to achieve robust projection of ...
Yuan Qiu +4 more
semanticscholar +1 more source
Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
doaj +1 more source
Errors in climate model daily precipitation and temperature output: time invariance and implications for bias correction [PDF]
, 2013 When correcting for biases in general circulation model (GCM) output, for example when statistically downscaling for regional and local impacts studies, a common assumption is that the GCM biases can be characterized by comparing model simulations and ...
Cayan, Daniel R. +2 more
core +3 more sources
A frailty-contagion model for multi-site hourly precipitation driven by atmospheric covariates [PDF]
, 2014 Accurate stochastic simulations of hourly precipitation are needed for impact studies at local spatial scales. Statistically, hourly precipitation data represent a difficult challenge.
Koch, Erwan, Naveau, Philippe
core +2 more sources
Geophysical Research Letters, 2022 Approximately 1–3 violent tornadoes hit Europe each decade. We use the ERA5 reanalysis and WRF model to reconstruct environments for 12 cases between 1957 and 2021.
Natalia Pilguj +3 more
semanticscholar +1 more source
Technical Note: The impact of spatial scale in bias correction of climate model output for hydrologic impact studies [PDF]
, 2016 Statistical downscaling is a commonly used technique for translating large-scale climate model output to a scale appropriate for assessing impacts. To ensure downscaled meteorology can be used in climate impact studies, downscaling must correct biases in
Ficklin, Darren L. +2 more
core +3 more sources
Sea Levels Dynamical Downscaling and Climate Change Projections at the Uruguayan Coast
Frontiers in Marine Science, 2022 This work implements a dynamical downscaling approach, based on a set of nested two-dimensional hydrodynamic models, to quantify the expected changes in the total sea level climate and its components for the Uruguayan coast, using surface wind and sea ...
Michelle Jackson, M. Fossati, S. Solari
semanticscholar +1 more source
Advances in Meteorology, 2016 To overcome the problem that the horizontal resolution of global climate models may be too low to resolve features which are important at the regional or local scales, dynamical downscaling has been extensively used.
Yuanyuan Ma +5 more
doaj +1 more source
Precipitation regime change in Western North America: The role of Atmospheric Rivers. [PDF]
, 2019 Daily precipitation in California has been projected to become less frequent even as precipitation extremes intensify, leading to uncertainty in the overall response to climate warming.
Cayan, Daniel R +10 more
core +2 more sources
Climate Dynamics, 2021 Regional Climate Models (RCMs) are the primary climate information available to public stakeholders and city-planners to support local adaptation policies.
Benjamin Van Roy +2 more
semanticscholar +1 more source