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Journal articles on the topic 'Mesoscale'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Canuto, V. M., M. S. Dubovikov, M. Luneva, C. A. Clayson, and A. Leboissetier. "Mixed layer mesoscales: a parameterization for OGCMs." Ocean Science Discussions 7, no. 2 (2010): 873–917. http://dx.doi.org/10.5194/osd-7-873-2010.

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Abstract. We derive and assess a parameterization of the mixed layer vertical and horizontal mesoscale fluxes of an arbitrary tracer. The results, which are obtained by solving the mesoscale dynamic equations and contain no adjustable parameters, are expressed in terms of the large scale fields resolved by coarse resolution OGCMs (ocean global circulation models). The new model can be put in the right perspective by considering the following. Thus far, the lack of a mixed layer mesoscale model that naturally satisfies the required boundary condition (the vertical flux must vanish at the surfac

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2

Canuto, V. M., Y. Cheng, M. S. Dubovikov, A. M. Howard, and A. Leboissetier. "Parameterization of Mixed Layer and Deep-Ocean Mesoscales including Nonlinearity." Journal of Physical Oceanography 48, no. 3 (2018): 555–72. http://dx.doi.org/10.1175/jpo-d-16-0255.1.

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AbstractIn 2011, Chelton et al. carried out a comprehensive census of mesoscales using altimetry data and reached the following conclusions: “essentially all of the observed mesoscale features are nonlinear” and “mesoscales do not move with the mean velocity but with their own drift velocity,” which is “the most germane of all the nonlinear metrics.” Accounting for these results in a mesoscale parameterization presents conceptual and practical challenges since linear analysis is no longer usable and one needs a model of nonlinearity. A mesoscale parameterization is presented that has the follo

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3

Barkan, Roy, Kraig B. Winters, and James C. McWilliams. "Stimulated Imbalance and the Enhancement of Eddy Kinetic Energy Dissipation by Internal Waves." Journal of Physical Oceanography 47, no. 1 (2017): 181–98. http://dx.doi.org/10.1175/jpo-d-16-0117.1.

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AbstractThe effects of internal waves (IWs), externally forced by high-frequency wind, on energy pathways are studied in submesoscale-resolving numerical simulations of an idealized wind-driven channel flow. Two processes are examined: the direct extraction of mesoscale energy by externally forced IWs followed by an IW forward energy cascade to dissipation and stimulated imbalance, a mechanism through which externally forced IWs trigger a forward mesoscale to submesoscale energy cascade to dissipation. This study finds that the frequency and wavenumber spectral slopes are shallower in solution

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4

Garabato, Alberto C. Naveira, Xiaolong Yu, Jörn Callies, et al. "Kinetic Energy Transfers between Mesoscale and Submesoscale Motions in the Open Ocean’s Upper Layers." Journal of Physical Oceanography 52, no. 1 (2022): 75–97. http://dx.doi.org/10.1175/jpo-d-21-0099.1.

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Abstract Mesoscale eddies contain the bulk of the ocean’s kinetic energy (KE), but fundamental questions remain on the cross-scale KE transfers linking eddy generation and dissipation. The role of submesoscale flows represents the key point of discussion, with contrasting views of submesoscales as either a source or a sink of mesoscale KE. Here, the first observational assessment of the annual cycle of the KE transfer between mesoscale and submesoscale motions is performed in the upper layers of a typical open-ocean region. Although these diagnostics have marginal statistical significance and

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5

Schubert, René, Jonathan Gula, Richard J. Greatbatch, Burkard Baschek, and Arne Biastoch. "The Submesoscale Kinetic Energy Cascade: Mesoscale Absorption of Submesoscale Mixed Layer Eddies and Frontal Downscale Fluxes." Journal of Physical Oceanography 50, no. 9 (2020): 2573–89. http://dx.doi.org/10.1175/jpo-d-19-0311.1.

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AbstractMesoscale eddies can be strengthened by the absorption of submesoscale eddies resulting from mixed layer baroclinic instabilities. This is shown for mesoscale eddies in the Agulhas Current system by investigating the kinetic energy cascade with a spectral and a coarse-graining approach in two model simulations of the Agulhas region. One simulation resolves mixed layer baroclinic instabilities and one does not. When mixed layer baroclinic instabilities are included, the largest submesoscale near-surface fluxes occur in wintertime in regions of strong mesoscale activity for upscale as we

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6

Gasset, Nicolas, Robert Benoit, and Christian Masson. "Implementing Large-Eddy Simulation Capability in a Compressible Mesoscale Model." Monthly Weather Review 142, no. 8 (2014): 2733–50. http://dx.doi.org/10.1175/mwr-d-13-00257.1.

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Abstract The large size of modern wind turbines and wind farms triggers processes above the surface layer, which extend to the junction between microscales and mesoscales, and pushes the limits of existing approaches to predict the wind. The main objectives of this study are thus to introduce and evaluate an approach that will better account for physical processes within the atmospheric boundary layer (ABL), and allow for both microscale and mesoscale modeling. The proposed method, in which mathematical model and main numerical aspects are presented, combines a mesoscale approach with a large-

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7

Dalaq, Ahmed S., and Shivakumar I. Ranganathan. "Invariants of mesoscale thermal conductivity and resistivity tensors in random checkerboards." Engineering Computations 32, no. 6 (2015): 1601–18. http://dx.doi.org/10.1108/ec-08-2014-0162.

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Purpose – The purpose of this paper is to study the statistics of thermal conductivity and resistivity tensors in two-phase random checkerboard microstructures at finite mesoscales. Design/methodology/approach – Microstructures at finite scales are generated by randomly sampling an infinite checkerboard at 50 percent nominal fraction. Boundary conditions that stem from the Hill-Mandel homogenization condition are then applied as thermal loadings on these microstructures. Findings – It is observed that the thermal response of the sampled microstructures is in general anisotropic at finite mesos

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8

Lindborg, Erik. "Two Comments on the Surface Quasigeostrophic Model for the Atmospheric Energy Spectrum." Journal of the Atmospheric Sciences 66, no. 4 (2009): 1069–72. http://dx.doi.org/10.1175/2008jas2972.1.

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Abstract The horizontal wavenumber spectra of wind and temperature in the upper troposphere and lower stratosphere display a narrow k−3 range at scales on the order of 1000 km and a broad k−5/3 range at mesoscales on the order of 1 to 500 km. Recently, Tulloch and Smith suggested that a surface quasigeostrophic (SQG) turbulence model can explain the observed spectra. Here, it is first argued that the mesoscale spectra are not likely to be explained by any quasigeostrophic model because the Rossby number corresponding to the mesoscale dynamics is on the order of unity or larger. Then it is argu

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9

Wang, Jin, Brandon J. Bethel, Changming Dong, Chunhui Li, and Yuhan Cao. "Numerical Simulation and Observational Data Analysis of Mesoscale Eddy Effects on Surface Waves in the South China Sea." Remote Sensing 14, no. 6 (2022): 1463. http://dx.doi.org/10.3390/rs14061463.

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Surface current velocities of mesoscale eddies have a unique annular structure, which can inevitably influence surface wave properties and energy distribution. Sensitivity experiments of ideal mesoscale eddies on waves were carried out by the Simulating WAves Nearshore (SWAN) wave model to investigate these influences. In addition, China–France Oceanography SATellite Surface Wave Investigation and Monitoring (CFOSAT-SWIM) observational data of a large warm-cored eddy in the South China Sea (SCS) during the period of October–November 2019 were used to validate the influence of mesoscale eddies

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10

Delman, Andrew, and Tong Lee. "A new method to assess mesoscale contributions to meridional heat transport in the North Atlantic Ocean." Ocean Science 16, no. 4 (2020): 979–95. http://dx.doi.org/10.5194/os-16-979-2020.

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Abstract. The meridional heat transport (MHT) in the North Atlantic is critically important to climate variability and the global overturning circulation. A wide range of ocean processes contribute to North Atlantic MHT, ranging from basin-scale overturning and gyre motions to mesoscale instabilities (such as eddies). However, previous analyses of “eddy” MHT in the region have mostly focused on the contributions of time-variable velocity and temperature, rather than considering the association of MHT with distinct spatial scales within the basin. In this study, a zonal spatial-scale decomposit

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11

Gao, Yu, Igor Kamenkovich, Natalie Perlin, and Benjamin Kirtman. "Oceanic Advection Controls Mesoscale Mixed Layer Heat Budget and Air–Sea Heat Exchange in the Southern Ocean." Journal of Physical Oceanography 52, no. 4 (2022): 537–55. http://dx.doi.org/10.1175/jpo-d-21-0063.1.

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Abstract We analyze the role of mesoscale heat advection in a mixed layer (ML) heat budget, using a regional high-resolution coupled model with realistic atmospheric forcing and an idealized ocean component. The model represents two regions in the Southern Ocean, one with strong ocean currents and the other with weak ocean currents. We conclude that heat advection by oceanic currents creates mesoscale anomalies in sea surface temperature (SST), while the atmospheric turbulent heat fluxes dampen these SST anomalies. This relationship depends on the spatial scale, the strength of the currents, a

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12

Callies, Jörn, Oliver Bühler, and Raffaele Ferrari. "The Dynamics of Mesoscale Winds in the Upper Troposphere and Lower Stratosphere." Journal of the Atmospheric Sciences 73, no. 12 (2016): 4853–72. http://dx.doi.org/10.1175/jas-d-16-0108.1.

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Abstract Spectral analysis is applied to infer the dynamics of mesoscale winds from aircraft observations in the upper troposphere and lower stratosphere. Two datasets are analyzed: one collected aboard commercial aircraft and one collected using a dedicated research aircraft. A recently developed wave–vortex decomposition is used to test the observations’ consistency with linear inertia–gravity wave dynamics. The decomposition method is shown to be robust in the vicinity of the tropopause if flight tracks vary sufficiently in altitude. For the lower stratosphere, the decompositions of both da

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13

Canuto, V. M., and M. S. Dubovikov. "Derivation and assessment of a mixed layer sub-mesoscale model." Ocean Science Discussions 6, no. 3 (2009): 2157–92. http://dx.doi.org/10.5194/osd-6-2157-2009.

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Abstract. Present studies of mixed layer sub-mesoscales rely primarily on high resolution numerical simulations. Only few of these studies have attempted to parameterize the ensuing buoyancy submesoscale fluxes in terms of the resolved fields so that they can be used in OGCMs (ocean circulation models) that do not resolve sub-mesoscales. In reality, OGCMs used in climate studies include a carbon-cycle which also requires the flux of a passive tracer. The goal of this work is to derive and assess a parameterization of the submesoscale vertical flux of an arbitrary tracer in terms of the resolve

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14

Sun, Y. Qiang, Richard Rotunno, and Fuqing Zhang. "Contributions of Moist Convection and Internal Gravity Waves to Building the Atmospheric −5/3 Kinetic Energy Spectra." Journal of the Atmospheric Sciences 74, no. 1 (2017): 185–201. http://dx.doi.org/10.1175/jas-d-16-0097.1.

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Abstract With high-resolution mesoscale model simulations, the authors have confirmed a recent study demonstrating that convective systems, triggered in a horizontally homogeneous environment, are able to generate a background mesoscale kinetic energy spectrum with a slope close to −5/3, which is the observed value for the kinetic energy spectrum at mesoscales. This shallow slope can be identified at almost all height levels from the lower troposphere to the lower stratosphere in the simulations, implying a strong connection between different vertical levels. The present study also computes th

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15

Hanrath, Tobias. "Mesoscale metamorphosis." Nature Materials 19, no. 1 (2019): 2–3. http://dx.doi.org/10.1038/s41563-019-0515-0.

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16

AOYAGI, Takeshi, and Masao DOI. "Mesoscale Simulation." Kobunshi 48, no. 5 (1999): 316–19. http://dx.doi.org/10.1295/kobunshi.48.316.

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17

Orlanski, Isidro. "Mesoscale Dynamics." Eos, Transactions American Geophysical Union 89, no. 42 (2008): 408. http://dx.doi.org/10.1029/2008eo420004.

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18

Yap, May Lin, Xiaowei Wang, Geoffrey A. Pietersz, and Karlheinz Peter. "Mesoscale Nanoparticles." Hypertension 71, no. 1 (2018): 61–63. http://dx.doi.org/10.1161/hypertensionaha.117.09944.

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19

Zeng, Hongkui. "Mesoscale connectomics." Current Opinion in Neurobiology 50 (June 2018): 154–62. http://dx.doi.org/10.1016/j.conb.2018.03.003.

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20

Hoffmann, Axel, and Helmut Schultheiß. "Mesoscale magnetism." Current Opinion in Solid State and Materials Science 19, no. 4 (2015): 253–63. http://dx.doi.org/10.1016/j.cossms.2014.11.004.

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21

Jacobs, G. A., C. N. Barron, and R. C. Rhodes. "Mesoscale characteristics." Journal of Geophysical Research: Oceans 106, no. C9 (2001): 19581–95. http://dx.doi.org/10.1029/2000jc000669.

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22

Nicolaides, David. "Mesoscale Modelling." Molecular Simulation 26, no. 1 (2001): 51–72. http://dx.doi.org/10.1080/08927020108024200.

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23

Yi, Daling Li, and Peng Wang. "Global Wavenumber Spectra of Sea Surface Salinity in the Mesoscale Range Using Satellite Observations." Remote Sensing 16, no. 10 (2024): 1753. http://dx.doi.org/10.3390/rs16101753.

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Sea surface salinity (SSS) variability at mesoscales has become an important research topic in recent decades, thanks to satellite missions enabling observations of SSS with global capacity and mesoscale resolution. Here, we analyze the near-global data of the Aquarius/SAC-D along-track SSS, focusing on the slopes of SSS variance spectra in the mesoscale range from 180 to 430 km. In the vast extratropics, the spectral slope is close to −2, indicating a dynamical regime for the inverse cascade of depth-integrated energy identified by the surface quasi-geostrophic theory. However, the spectral s

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24

Avsarkisov, Victor, Erich Becker, and Toralf Renkwitz. "Turbulent Parameters in the Middle Atmosphere: Theoretical Estimates Deduced from a Gravity Wave–Resolving General Circulation Model." Journal of the Atmospheric Sciences 79, no. 4 (2022): 933–52. http://dx.doi.org/10.1175/jas-d-21-0005.1.

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Abstract We present a scaling analysis for the stratified turbulent and small-scale turbulent regimes of atmospheric flow with emphasis on the mesosphere. We distinguish rotating-stratified macroturbulence turbulence (SMT), stratified turbulence (ST), and small-scale isotropic Kolmogorov turbulence (KT), and we specify the length and time scales and the characteristic velocities for these regimes. It is shown that the buoyancy scale (Lb) and the Ozmidov scale (Lo) are the main parameters that describe the transition from SMT to KT. We employ the buoyancy Reynolds number and horizontal Froude n

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25

Michelson, Daniel B., Valentin I. Foltescu, Lars Häggmark, and Bo Lindgren. "MESAN Mesoscale analysis of precipitation." Meteorologische Zeitschrift 9, no. 2 (2000): 85–96. http://dx.doi.org/10.1127/metz/9/2000/85.

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26

Fritsch, J. Michael. "Modification of Mesoscale Convective Weather Systems." Meteorological Monographs 43 (December 1, 1986): 77–86. http://dx.doi.org/10.1175/0065-9401-21.43.77.

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Abstract Modification of mesoscale convective weather systems through ice-phase seeding is briefly reviewed. a simple mathematical framework for estimating the likely mesoscale response to convective cloud modification is presented, and previous mesoscale modification hypotheses are discussed in the context of this mathematical framework. Some basic differences between cloud-scale and mesoscale modification hypotheses are also discussed. Numerical model experiments to test the mesoscale sensitivity of convective weather systems are reviewed, and several focal points for identifying mesoscale m

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27

Dosta, Maksym, Kolja Jarolin, and Pavel Gurikov. "Modelling of Mechanical Behavior of Biopolymer Alginate Aerogels Using the Bonded-Particle Model." Molecules 24, no. 14 (2019): 2543. http://dx.doi.org/10.3390/molecules24142543.

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A novel mesoscale modelling approach for the investigation of mechanical properties of alginate aerogels is proposed. This method is based on the discrete element method and bonded-particle model. The nanostructure of aerogel is not directly considered, instead the highly porous structure of aerogels is represented on the mesoscale as a set of solid particles connected by solid bonds. To describe the rheological material behavior, a new elastic-plastic functional model for the solids bonds has been developed. This model has been derived based on the self-similarity principle for the material b

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28

Ubelmann, Clément, Loren Carrere, Chloé Durand, et al. "Simultaneous estimation of ocean mesoscale and coherent internal tide sea surface height signatures from the global altimetry record." Ocean Science 18, no. 2 (2022): 469–81. http://dx.doi.org/10.5194/os-18-469-2022.

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Abstract. This study proposes an approach to estimate the ocean sea surface height signature of coherent internal tides from a 25-year along-track altimetry record, with a single inversion over time, resolving both internal tide contributions and mesoscale eddy variability. The inversion is performed on a reduced-order basis of topography and practically achieved with a conjugate gradient. The particularity of this approach is to mitigate the potential aliasing effects between mesoscales and internal tide estimation from the uneven altimetry sampling (observing the sum of these components) by

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29

van Haren, Hans. "Technical note: Spectral slopes in a deep, weakly stratified ocean and coupling between sub-mesoscale motion and small-scale mechanisms." Ocean Science 21, no. 2 (2025): 555–65. https://doi.org/10.5194/os-21-555-2025.

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Abstract. Large, basin-wide ocean circulations are complex non-linear dynamical systems. They include small-scale physical processes such as transport by sub-mesoscale eddies and turbulence-generating breaking of internal waves. To date, however, knowledge is lacking on the precise interactions between the different processes. In this note, a potential contributor to the interactions is investigated using spectra from deep-sea-moored observations. In weakly stratified waters, continuous spectral slopes are observed that extend from sub-mesoscales across the internal wave band to the turbulence

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30

Sun, Shuangwen, Yue Fang, Yongcan Zu, Baochao Liu, Tana, and Azizan Abu Samah. "Seasonal Characteristics of Mesoscale Coupling between the Sea Surface Temperature and Wind Speed in the South China Sea." Journal of Climate 33, no. 2 (2020): 625–38. http://dx.doi.org/10.1175/jcli-d-19-0392.1.

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AbstractThe seasonal characteristics of the mesoscale coupling between sea surface temperature (SST) and wind speed in the South China Sea (SCS) are investigated using satellite observations. The correlation between mesoscale SST and wind speed is highest in winter. The region of high correlation is located in the central SCS in the early stage of the winter monsoon. It then gradually shifts northward in the following months and is located in the northern SCS in the late stage of the winter monsoon. In summer, the region of high correlation is located to the east of the Vietnam coast. Two cont

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31

Jiang, Bin, Ji Guang Song, Song Tao Wang, Bo Chen, and Xuan Chi Liu. "Model of Intrinsic/Extrinsic about the Safety for High Speed Milling Tools on Mesoscale." Advanced Materials Research 500 (April 2012): 198–204. http://dx.doi.org/10.4028/www.scientific.net/amr.500.198.

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The article is about the safety for high speed milling tools between macroscopic and mesoscale, making some analysis about the relationship between damage of cutting tools and its components and mesoscale movement, the damage of cutting tools and its components is known. With the boundary conditions of material force damage, using the material design software named MAPS to do molecular dynamics simulation, the simulation is about mesoscale state in different stress, Make sure the various mesoscale movement on stress response rate, the model of intrinsic/extrinsic about the safety for high spee

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32

Li, Shengwei, Heping Xie, Ru Zhang, et al. "A Multiscale Simulation Method and Its Application to Determine the Mechanical Behavior of Heterogeneous Geomaterials." Advances in Materials Science and Engineering 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/9529602.

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To study the micro/mesomechanical behaviors of heterogeneous geomaterials, a multiscale simulation method that combines molecular simulation at the microscale, a mesoscale analysis of polished slices, and finite element numerical simulation is proposed. By processing the mesostructure images obtained from analyzing the polished slices of heterogeneous geomaterials and mapping them onto finite element meshes, a numerical model that more accurately reflects the mesostructures of heterogeneous geomaterials was established by combining the results with the microscale mechanical properties of geoma

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33

Cui, Chaoran, and Lingjing Xu. "The Mesoscale SST–Wind Coupling Characteristics in the Yellow Sea and East China Sea Based on Satellite Data and Their Feedback Effects on the Ocean." Journal of Marine Science and Engineering 12, no. 10 (2024): 1743. http://dx.doi.org/10.3390/jmse12101743.

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The mesoscale interaction between sea surface temperature (SST) and wind is a crucial factor influencing oceanic and atmospheric conditions. To investigate the mesoscale coupling characteristics of the Yellow Sea and East China Sea, we applied a locally weighted regression filtering method to extract mesoscale signals from Quik-SCAT wind field data and AMSR-E SST data and found that the mesoscale coupling intensity is stronger in the Yellow Sea during the spring and winter seasons. We calculated the mesoscale coupling coefficient to be approximately 0.009 N·m−2/°C. Subsequently, the Tikhonov r

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34

Weaver, Christopher P. "Coupling between Large-Scale Atmospheric Processes and Mesoscale Land–Atmosphere Interactions in the U.S. Southern Great Plains during Summer. Part II: Mean Impacts of the Mesoscale." Journal of Hydrometeorology 5, no. 6 (2004): 1247–58. http://dx.doi.org/10.1175/jhm-397.1.

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Abstract This is Part II of a two-part study of mesoscale land–atmosphere interactions in the summertime U.S. Southern Great Plains. Part I focused on case studies drawn from monthlong (July 1995–97), high-resolution Regional Atmospheric Modeling System (RAMS) simulations carried out to investigate these interactions. These case studies were chosen to highlight key features of the lower-tropospheric mesoscale circulations that frequently arise in this region and season due to mesoscale heterogeneity in the surface fluxes. In this paper, Part II, the RAMS-simulated mesoscale dynamical processes

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35

Raney, Jordan R., and Jennifer A. Lewis. "Printing mesoscale architectures." MRS Bulletin 40, no. 11 (2015): 943–50. http://dx.doi.org/10.1557/mrs.2015.235.

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36

Rundquist, Bradley, John Harrington, and Douglas Goodin. "Mesoscale Satellite Bioclimatology." Professional Geographer 52, no. 2 (2000): 331–44. http://dx.doi.org/10.1111/0033-0124.00229.

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37

Horn, Diane P. "Mesoscale beach processes." Progress in Physical Geography: Earth and Environment 26, no. 2 (2002): 271–89. http://dx.doi.org/10.1191/0309133302pp336pr.

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38

Szuromi, P. D. "CHEMISTRY: Mesoscale Metallocycles." Science 304, no. 5678 (2004): 1721a. http://dx.doi.org/10.1126/science.304.5678.1721a.

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39

Chelton, Dudley. "Mesoscale eddy effects." Nature Geoscience 6, no. 8 (2013): 594–95. http://dx.doi.org/10.1038/ngeo1906.

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40

Steenson, Molly Wright. "Microworld and mesoscale." Interactions 22, no. 4 (2015): 58–60. http://dx.doi.org/10.1145/2786024.

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41

Jacobi, Anthony. "A Mesoscale World." HVAC&R Research 8, no. 2 (2002): 133–34. http://dx.doi.org/10.1080/10789669.2002.10391432.

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42

Fritsch, J. M., and G. S. Forbes. "Mesoscale Convective Systems." Meteorological Monographs 50 (November 1, 2001): 323–58. http://dx.doi.org/10.1175/0065-9401-28.50.323.

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43

Li, Ruoning, and Yongfeng Wang. "Mesoscale coordination constructs." Nature Chemistry 12, no. 5 (2020): 431–32. http://dx.doi.org/10.1038/s41557-020-0461-0.

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44

Canuto, V. M., and M. S. Dubovikov. "Modeling mesoscale eddies." Ocean Modelling 8, no. 1-2 (2005): 1–30. http://dx.doi.org/10.1016/j.ocemod.2003.11.003.

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45

PZ. "Mesoscale meteorological modeling." Environmental Software 1, no. 1 (1986): 60. http://dx.doi.org/10.1016/0266-9838(86)90039-0.

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46

Warner, Thomas T. "Mesoscale atmospheric modeling." Earth-Science Reviews 26, no. 1-3 (1989): 221–51. http://dx.doi.org/10.1016/0012-8252(89)90023-8.

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47

Barber, Dylan M., Alfred J. Crosby, and Todd Emrick. "Mesoscale Block Copolymers." Advanced Materials 30, no. 13 (2018): 1706118. http://dx.doi.org/10.1002/adma.201706118.

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48

Bykov, A. V., and A. N. Shikhov. "Mesoscale convective systems forecast using global and mesoscale atmospheric models." Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 15, no. 2 (2018): 213–24. http://dx.doi.org/10.21046/2070-7401-2018-15-2-213-224.

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49

Browning, K. A. "The mesoscale data base and its use in mesoscale forecasting." Quarterly Journal of the Royal Meteorological Society 115, no. 488 (1989): 717–62. http://dx.doi.org/10.1002/qj.49711548802.

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50

Jiang, Wuyi, Jiawei Xu, Yongli Cai, and Zhiyong Liu. "Ecological Land Adaptive Planning in Macroscale, Mesoscale, and Microscale of Shanghai." Sustainability 12, no. 5 (2020): 2142. http://dx.doi.org/10.3390/su12052142.

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Abstract:

The urban ecosystems in China have been compromised during the process of urbanization. The declining services of ecological lands have hindered the sustainable development of cities and the current ecological land management (regulations, rules, and laws) in China cannot meet the demand of future development. In this paper, a new multiscale systematic adaptive ecological land planning method is proposed. Shanghai, a typical mega-city in China, was chosen as the research area. To scientifically and adaptively manage ecological land, downscale management was used and macroscales (city), mesosca

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