Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Katherine A. Lundquist"'
Autor:
David J. Wiersema, Sonia Wharton, Robert S. Arthur, Timothy W. Juliano, Katherine A. Lundquist, Lee G. Glascoe, Rob K. Newsom, Walter W. Schalk, Michael J. Brown, Darielle Dexheimer
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
Multiscale numerical weather prediction models transition from mesoscale, where turbulence is fully parameterized, to microscale, where the majority of highly energetic scales of turbulence are resolved. The turbulence gray-zone is situated between t
Externí odkaz:
https://doaj.org/article/90170c6f88b24bf8ac9988eafcd47d8d
Publikováno v:
Atmospheric Environment: X, Vol 3, Iss , Pp - (2019)
Source-term estimation (STE) methods attempt to calculate the most-likely source characteristics of an atmospheric release given concentration observations. The quality of the STE depends partially on the time and space scales of the observations, se
Externí odkaz:
https://doaj.org/article/f8ed4926c24e40578bfc534eced28f17
Autor:
Fotini Katopodes Chow, Christoph Schär, Nikolina Ban, Katherine A. Lundquist, Linda Schlemmer, Xiaoming Shi
Publikováno v:
Atmosphere, Vol 10, Iss 5, p 274 (2019)
This review paper explores the field of mesoscale to microscale modeling over complex terrain as it traverses multiple so-called gray zones. In an attempt to bridge the gap between previous large-scale and small-scale modeling efforts, atmospheric si
Externí odkaz:
https://doaj.org/article/3978d223f7454a6ebe27f029d871947f
Publikováno v:
Monthly Weather Review. 150:3195-3209
This paper evaluates the representation of turbulence and its effect on transport and dispersion within multiscale and microscale-only simulations in an urban environment. These simulations, run using the Weather Research and Forecasting Model with t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0fd6a0dd151ad8256b8592fc984b58e
https://doi.org/10.1175/mwr-d-22-0056.1
https://doi.org/10.1175/mwr-d-22-0056.1
Publikováno v:
Monthly Weather Review. 149:155-171
The terrain-following vertical coordinate system used by many atmospheric models, including the Weather Research and Forecasting (WRF) Model, is prone to errors in regions of complex terrain. These errors stem, in part, from the calculation of horizo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0afdc49acc4e7e205f8682d54caf667
https://doi.org/10.1175/mwr-d-20-0234.1
https://doi.org/10.1175/mwr-d-20-0234.1
Autor:
David J. Wiersema, Robert S. Arthur, Katherine A. Lundquist, Fotini Katopodes Chow, Jingyi Bao
Publikováno v:
Monthly Weather Review. 148:2087-2109
The terrain-following coordinate system used by many atmospheric models can cause numerical instabilities due to discretization errors as resolved terrain slopes increase and the grid becomes highly skewed. The immersed boundary (IB) method, which do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f033703043a7875426e2f382815748
https://doi.org/10.1175/mwr-d-19-0219.1
https://doi.org/10.1175/mwr-d-19-0219.1
Publikováno v:
Monthly Weather Review. 148:577-595
Improvements to the Weather Research and Forecasting (WRF) Model are made to enable multiscale simulations over highly complex terrain with dynamically downscaled boundary conditions from the mesoscale to the microscale. Over steep terrain, the WRF M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29157d5f74238c916c3c310fd0861c96
https://doi.org/10.1175/mwr-d-19-0071.1
https://doi.org/10.1175/mwr-d-19-0071.1
Autor:
Irina Djalalova, Elena Akish, Kathy Lantz, Caroline Draxl, Branko Kosovic, Katherine McCaffrey, Melinda Marquis, David D. Turner, Aditya Choukulkar, Michael D. Toy, Stephanie Redfern, Laura Bianco, Wayne M. Angevine, Yelena L. Pichugina, Jim McCaa, Katherine A. Lundquist, Joel Cline, Robert M. Banta, William J. Shaw, Pedro A. Jiménez, Julie K. Lundquist, John M. Brown, Charles N. Long, Joseph B. Olson, James M. Wilczak, Jian-Wen Bao, Larry K. Berg, Jaymes S. Kenyon
Publikováno v:
Bulletin of the American Meteorological Society. 100:2201-2220
The primary goal of the Second Wind Forecast Improvement Project (WFIP2) is to advance the state-of-the-art of wind energy forecasting in complex terrain. To achieve this goal, a comprehensive 18-month field measurement campaign was conducted in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a6f28032262e4f4b1e117b50669ebfb
https://doi.org/10.1175/bams-d-18-0040.1
https://doi.org/10.1175/bams-d-18-0040.1
Publikováno v:
Monthly Weather Review. 147:31-52
A canopy model framework is implemented in the Weather Research and Forecasting Model to improve the accuracy of large-eddy simulations (LES) of the atmospheric boundary layer (ABL). The model includes two options that depend on the scale of surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::478fda9a0f27fc8ebebf8c75b458eab6
https://doi.org/10.1175/mwr-d-18-0204.1
https://doi.org/10.1175/mwr-d-18-0204.1