In regional climate modelling, it is well known that domains should be neither too large to avoid a large departure from the driving data, nor too small to provide a sufficient distance from the lateral inflow boundary to allow the full development of the small-scale (SS) features permitted by the finer resolution. Although most practitioners of dynamical downscaling are well aware that the jump of resolution between the lateral boundary condition (LBC) driving data and the nested regional climate model affects the simulated climate, this issue has not been fully investigated. In principle, as the jump of resolution becomes larger, the region of interest in the limited-area domain should be located further away from the lateral inflow bound...
High-resolution limited-area models (LAMs) have been widely employed to downscale coarse-resolution ...
Many climate extremes, including heatwaves and heavy precipitation events, are projected to worsen u...
Regional climate models (RCMs) are often assumed to be more skillful compared to lower-resolution ge...
Nested Limited-Area Models require driving data to define their lateral boundary conditions (LBC). T...
Limited‐area convection‐permitting climate models (CPMs) with horizontal grid‐spacing less than 4 km...
Commonly termed “added value”, the additional regional details gained by high-resolution regional cl...
Within their domain, regional climate and weather forecasting models deviate from the driving data. ...
In recent decades, the need of future climate information at local scales have pushed the climate mo...
The goal of limited area models (LAMs) is to downscale coarse-gridded general circulation model outp...
Dynamical downscaling by atmospheric Regional Climate Models (RCMs) forced with low-resolution data ...
This study evaluates the added value in the representation of surface climate variables from\ud an e...
Global climate models are used to predict plausible future climate based on various SRES Scenarios p...
Previous studies with nested regional climate models (RCMs) have shown that large-scale spectral nud...
The purpose of this thesis is to evaluate the downscaling ability of one-way nesting regional climat...
Regional Climate Models (RCMs) have been developed in the last two decades in order to produce high-...
High-resolution limited-area models (LAMs) have been widely employed to downscale coarse-resolution ...
Many climate extremes, including heatwaves and heavy precipitation events, are projected to worsen u...
Regional climate models (RCMs) are often assumed to be more skillful compared to lower-resolution ge...
Nested Limited-Area Models require driving data to define their lateral boundary conditions (LBC). T...
Limited‐area convection‐permitting climate models (CPMs) with horizontal grid‐spacing less than 4 km...
Commonly termed “added value”, the additional regional details gained by high-resolution regional cl...
Within their domain, regional climate and weather forecasting models deviate from the driving data. ...
In recent decades, the need of future climate information at local scales have pushed the climate mo...
The goal of limited area models (LAMs) is to downscale coarse-gridded general circulation model outp...
Dynamical downscaling by atmospheric Regional Climate Models (RCMs) forced with low-resolution data ...
This study evaluates the added value in the representation of surface climate variables from\ud an e...
Global climate models are used to predict plausible future climate based on various SRES Scenarios p...
Previous studies with nested regional climate models (RCMs) have shown that large-scale spectral nud...
The purpose of this thesis is to evaluate the downscaling ability of one-way nesting regional climat...
Regional Climate Models (RCMs) have been developed in the last two decades in order to produce high-...
High-resolution limited-area models (LAMs) have been widely employed to downscale coarse-resolution ...
Many climate extremes, including heatwaves and heavy precipitation events, are projected to worsen u...
Regional climate models (RCMs) are often assumed to be more skillful compared to lower-resolution ge...