Not exact matches
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 development
Wramneby et al (2010) explored the
regional interaction between climate and
vegetation response using a RCM set - up, and highlighted the importance of this interaction for assessing the mean temperature response particularly at high latitudes (due to the role of
vegetation in snow
covered areas) and in water limited evaporation regimes (due to the role of
vegetation in controlling surface evaporative cooling).
Of course protecting the Amazon rainforest offers other benefits beyond maintenance of
regional rainfall and
vegetation cover.
Vegetation cover changes caused by land use can alter regional and global climate through both biogeochemical (emissions of greenhouse gases and aerosols) and biogeophysical (albedo, evapotranspiration, and surface roughness) feedbacks with the atmosphere, with reverse effects following land abandonment, reforestation, and other vegetation recover
Vegetation cover changes caused by land use can alter
regional and global climate through both biogeochemical (emissions of greenhouse gases and aerosols) and biogeophysical (albedo, evapotranspiration, and surface roughness) feedbacks with the atmosphere, with reverse effects following land abandonment, reforestation, and other
vegetation recover
vegetation recoveries (107).
Large - scale changes in savanna
vegetation cover may also feed back to
regional rainfall patterns.
-LSB-...] With satellites, they have collected
regional and global measurements of the «greenness» of the land surface and assessed the presence or absence of
vegetation, while looking for signals to distinguish trees from shrubs from ground
cover.
Changes in
vegetation cover affect surface energy and water balances at the
regional scale, from boreal to tropical forests.
The coarse resolution of global models, together with
regional uncertainties in precipitation, make it difficult to assess the probability of deflation becoming supply - limited consequent on wetting of the Bodélé and / or increased
vegetation cover over the basin.