On bridging a modeling scale gap: Mesoscale to microscale coupling for wind energy

Accurately representing flow across the mesoscale to the microscale is a persistent roadblock for completing realistic microscale simulations. The science challenges that must be addressed to coupling at these scales include the following: 1) What is necessary to capture the variability of the mesoscale flow, and how do we avoid generating spurious rolls within the terra incognita between the scales? 2) Which methods effectively couple the mesoscale to the microscale and capture the correct nonstationary features at the microscale? 3) What are the best methods to initialize turbulence at the microscale? 4) What is the best way to handle the surface-layer parameterizations consistently at the mesoscale and the microscale? 5) How do we assess the impact of improvements in each of these aspects and quantify the uncertainty in the simulations? The U.S. Department of Energy Mesoscale-to-Microscale-Coupling project seeks to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales determining wind plant performance and reliability, which impacts many meteorological applications. The approach begins with choosing case days that are interesting for wind energy for which there are observational data for validation. The team has focused on modeling nonstationary conditions for both flat and complex terrain. This paper describes the approaches taken to answer the science challenges, culminating in recommendations for best approaches for coupled modeling.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links N/A
Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright 2019 American Meteorological Society.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor N/A
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Haupt, Sue Ellen
Kosovic, Branko
Shaw, William
Berg, Larry K.
Churchfield, Matthew
Cline, Joel
Draxl, Caroline
Ennis, Brandon
Koo, Eunmo
Kotamarthi, Rao
Mazzaro, Laura
Mirocha, Jeffrey
Moriarty, Patrick
Muñoz-Esparza, Domingo
Quon, Eliot
Rai, Raj K.
Robinson, Michael
Sever, Gokhan
Publisher UCAR/NCAR - Library
Publication Date 2019-12-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T19:08:23.783413
Metadata Record Identifier edu.ucar.opensky::articles:23092
Metadata Language eng; USA
Suggested Citation Haupt, Sue Ellen, Kosovic, Branko, Shaw, William, Berg, Larry K., Churchfield, Matthew, Cline, Joel, Draxl, Caroline, Ennis, Brandon, Koo, Eunmo, Kotamarthi, Rao, Mazzaro, Laura, Mirocha, Jeffrey, Moriarty, Patrick, Muñoz-Esparza, Domingo, Quon, Eliot, Rai, Raj K., Robinson, Michael, Sever, Gokhan. (2019). On bridging a modeling scale gap: Mesoscale to microscale coupling for wind energy. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7r78jcz. Accessed 23 June 2025.

Harvest Source