The distribution of positive and negative turbulent heat diffusivity under urban pollution conditions

Author(s):  
Zhe Zhang ◽  
Yu Shi ◽  
Haijion Sun ◽  
Lei Liu ◽  
Fei Hu

<p>Turbulent diffusion efficiently transports momentum, heat, and matter and affects their transfers between the surface and the atmosphere. As an important parameter in describing turbulent diffusion, turbulent heat diffusivity K<sub>H</sub> has scarcely been studied in the context of frequent urban pollution in recent years. In this study, K<sub>H</sub> under urban pollution conditions was directly calculated based on the K-theory. We found an obvious diurnal variation in K<sub>H</sub> and its varying vertical distributions for each case and with time. Interestingly, the height of negative K<sub>H</sub> rises gradually after sunrise, peaks at noon, and falls near sunset. Negative K<sub>H</sub> is unusually significant at sunrise and sunset and approximately 140 m during most of the night. The magnitude and fluctuation in K<sub>H</sub> are smaller in the pollutant accumulation stage (CS) at all levels than in the pollutant transport stage (TS) and pollutant removal stage (RS). Turbulent diffusion may greatly affect PM<sub>2.5</sub> concentration at the CS because of the negative correlation between PM<sub>2.5</sub> concentration and the absolute value of K<sub>H</sub> at the CS accompanied by weak wind speed. The applicability of the K-theory is not very good during either day or at night. Note that these problems are inherent in K-theory when characterizing complex systems, such as turbulent diffusion, and require new frameworks or parameterization schemes. These findings may provide valuable insights for improving or establishing a new parameterization scheme for K<sub>H</sub> and promote the study of turbulent diffusion, air quality forecasting, and weather and climate modeling.</p>


Author(s):  
Zhe ZHANG ◽  
Yu SHI ◽  
Haijion SUN ◽  
Lei LIU ◽  
Fei HU


2019 ◽  
Vol 147 (2) ◽  
pp. 677-689 ◽  
Author(s):  
Peter D. Düben ◽  
Martin Leutbecher ◽  
Peter Bauer

Abstract Data storage and data processing generate significant cost for weather and climate modeling centers. The volume of data that needs to be stored and data that are disseminated to end users increases with increasing model resolution and the use of larger forecast ensembles. If precision of data is reduced, cost can be reduced accordingly. In this paper, three new methods to allow a reduction in precision with minimal loss of information are suggested and tested. Two of these methods rely on the similarities between ensemble members in ensemble forecasts. Therefore, precision will be high at the beginning of forecasts when ensemble members are more similar, to provide sufficient distinction, and decrease with increasing ensemble spread. To keep precision high for predictable situations and low elsewhere appears to be a useful approach to optimize data storage in weather forecasts. All methods are tested with data of operational weather forecasts of the European Centre for Medium-Range Weather Forecasts.



2003 ◽  
Vol 84 (1) ◽  
pp. 97-100 ◽  
Author(s):  
S. V. Singh ◽  
S. Basu


2018 ◽  
Vol 99 (6) ◽  
pp. 1253-1272 ◽  
Author(s):  
Joseph A. Santanello ◽  
Paul A. Dirmeyer ◽  
Craig R. Ferguson ◽  
Kirsten L. Findell ◽  
Ahmed B. Tawfik ◽  
...  

AbstractLand–atmosphere (L-A) interactions are a main driver of Earth’s surface water and energy budgets; as such, they modulate near-surface climate, including clouds and precipitation, and can influence the persistence of extremes such as drought. Despite their importance, the representation of L-A interactions in weather and climate models remains poorly constrained, as they involve a complex set of processes that are difficult to observe in nature. In addition, a complete understanding of L-A processes requires interdisciplinary expertise and approaches that transcend traditional research paradigms and communities. To address these issues, the international Global Energy and Water Exchanges project (GEWEX) Global Land–Atmosphere System Study (GLASS) panel has supported “L-A coupling” as one of its core themes for well over a decade. Under this initiative, several successful land surface and global climate modeling projects have identified hot spots of L-A coupling and helped quantify the role of land surface states in weather and climate predictability. GLASS formed the Local Land–Atmosphere Coupling (LoCo) project and working group to examine L-A interactions at the process level, focusing on understanding and quantifying these processes in nature and evaluating them in models. LoCo has produced an array of L-A coupling metrics for different applications and scales and has motivated a growing number of young scientists from around the world. This article provides an overview of the LoCo effort, including metric and model applications, along with scientific and programmatic developments and challenges.



1989 ◽  
Vol 21 (8-9) ◽  
pp. 727-738 ◽  
Author(s):  
D. E. Benelmouffok ◽  
S. L. Yu

A vertically averaged two-dimensional hydrodynamic model was developed to simulate water movements in a small shallow unstratified impoundment. The hydrodynamic model was then coupled with a two-dimensional pollutant transport model to calculate the mass fluxes of pollutant. The differential equations were numerically solved on a space staggered grid using a two-level time ADI integration scheme. The model was used to simulate the flow and pollutant transport and to assess the pollutant removal performance of an urban detention pond located in Charlottesville, VA. Results of the simulation were compared to field data taken at the site. The model was successfully utilized in simulating pollutant transport and trapping, making it useful in analyzing wet detention pond modification for urban pollution control.



2020 ◽  
Author(s):  
Micha Gryschka ◽  
Xu Zhou ◽  
Matthias Sühring

<p>Leads are Chanel-like openings in the sea-ice through which heat of several 100 Watt/m<sup>2</sup> is transferred from the ocean into the atmosphere. Even though leads account only for a view percent to the total ice coverage in polar regions, they modify the polar boundary layer significantly. Therefore, leads need to be considered in numerical weather and climate models. Since, generally leads are not explicitly resolved in these models it is important to understand the overall effect of leads of different sizes onto the boundary layer for different meteorological conditions.</p><p>With numerous Large-Eddy Simulations we investigated the dependency of the lead averaged surface heat flux on the lead width in a range between 50 m and 25 000 m for different meteorological conditions. Generally, we found under same temperature differences between ice and water and same meteorological conditions an increase of the the lead averaged heat flux with increasing lead width by more then 200% for some situations. We like to give some brief explanations of the possible causes for this behavior as well as to oppose these results to other former studies in this field, which might disagree to them in some points.</p>



2005 ◽  
Vol 48 (10) ◽  
pp. 2013-2022 ◽  
Author(s):  
Michał Karcz ◽  
Janusz Badur


Sign in / Sign up

Export Citation Format

Share Document