Not exact matches
There is a high level of overlap between the
process of developing and implementing these new
regional approaches (whether
on a landscape or jurisdictional
scale) and the
process of setting and implementing a sustainability standard.
But the critical coastal
process, which actually generates more of the deep water, occurs
on smaller
scales and is only captured in high - resolution
regional climate models, Knudson said.
In WP3 work is focused
on land
processes that are critical to reducing the current physical and biogeochemical biases in ESMs at both
regional and global
scales.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ●
Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model de
Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity,
scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization,
process studies
on aerosol - cloud interactions ● Radiation: circulation coupling; interaction between radiation and clouds ● Land - atmosphere interactions: Role of land
processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model de
processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods,
scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments,
regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective
scale models; ensembles; relevant challenges for model development
To present
regional multi-decadal climate projections to the impact communities as part of their driving forces and boundary conditions (for their models and
process studies), when there is NO skill
on this time
scale at predicting changes in climate statistics, is a serious misleading application of the scientific method.
Within the confines of our work with RASM and CESM, we will: (i) quantify the added value of using
regional models for downscaling arctic simulations from global models, (ii) address the impacts of high resolution, improved
process representations and coupling between model components
on predictions at seasonal to decadal time
scales, (iii) identify the most important
processes essential for inclusion in future high resolution GC / ESMs, e.g. ACME, using CESM as a test bed, and (iv) better quantify the relationship between skill and uncertainty in the Arctic Region for high fidelity models.
Drivers of the land climate system have larger effects at
regional and local
scales than
on global climate, which is controlled primarily by
processes of global radiation balance.
Process - based studies have focused
on understanding the role of the land surface
on climate, with research looking into the
regional impact of historical or hypothetical (future scenario) land - use change
on climate, as well as understanding diurnal -
scale relationships between surface fluxes of heat and moisture and subsequent atmospheric
processes such as convection and the generation of precipitation.
The two - day FAMOS workshop will include sessions
on 2017 sea ice highlights and sea ice / ocean predictions, reports of working groups conducting collaborative projects, large -
scale arctic climate modeling (ice - ocean,
regional coupled, global coupled), small (eddies) and very small (mixing)
processes and their representation and / or parameterization in models, and new hypotheses, data sets, intriguing findings, proposals for new experiments and plans for 2018 FAMOS special volume of publications.
The complexity of Arctic landscapes under climate warming means we have low confidence in which of these different
processes might dominate
on a
regional scale.
The climate of the coming decades
on regional and global
scales is going to be influenced by both anthropogenic forcing and internal («natural»)
processes.