Sentences with phrase «deep soil moisture»
Type 2 results, even from global models used in a prediction mode, still retain real world information in the atmosphere (such as from long wave jet stream patterns), as well as sea surface temperatures, deep soil moisture, and other climate variables that have long term persistence.
https://www.mwenb.nl/ Not exact matches
They wondered why the consistency and color of the soil changed as they dug and why the moisture content was higher deeper down.
How are soil moisture, surface fluxes, and aerosol properties altered by deep convective precipitation events and seasonal accumulation of precipitation?
Employing deep learning technology to existing soil moisture data can help... 28 - Feb - 2018 4:05 PM EST Add to Favorites
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
Previous research has shown that soil moisture plays a critical part in both permafrost thaw and carbon exchange with the atmosphere — as the permafrost breaks down, surface water may drain away to deeper soil layers, leaving the topsoil high and dry.
This means that the soil moisture anomalies of deeper layers are quite strongly correlated with those of the top 7 cm.
We find a close agreement between the CESM - based hindcasts and the Markov model, indicating that the largest contribution to the predictive skill of soil water on interannual to decadal timescales in CESM can be attributed to the damped persistence, which is partly governed by the evapotranspiration (Delworth and Manabe 1988), the total runoff, and the diffusion of soil moisture into the deeper soil levels as shown in the Eq.
In contrast, the dominant mode of total water storage exhibits a large degree of redness, which translates into decadal predictability of depth integrated soil moisture, particularly for the deep soil layers.
Two processes can disrupt this system and cause a transition to a less dense transitional forest or to fire - adapted vegetation: (1) damage to canopy trees by fires fueled by dry understory vegetation; or (2) depletion of deep stores of soil moisture.