Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Lucas Harris"'
Publikováno v:
Earth and Space Science, Vol 11, Iss 5, Pp n/a-n/a (2024)
Abstract We investigate the representation of individual supercells and intriguing tornado‐like vortices in a simplified, locally refined global atmosphere model. The model, featuring grid stretching, can locally enhance the model resolution and re
Externí odkaz:
https://doaj.org/article/9c932cdf3d3a436ca6092c3225edec3c
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Tropical cyclone (TC) intensity forecasting poses challenges due to complex dynamical processes and data inadequacies during model initialization. This paper describes efforts to improve TC intensity prediction in the Geophysical Fluid Dynamics Labor
Externí odkaz:
https://doaj.org/article/bd0484da5d87430685ffc153673b742a
Autor:
Meiyun Lin, Larry W. Horowitz, Ming Zhao, Lucas Harris, Paul Ginoux, John Dunne, Sergey Malyshev, Elena Shevliakova, Hamza Ahsan, Steve Garner, Fabien Paulot, Arman Pouyaei, Steven J. Smith, Yuanyu Xie, Niki Zadeh, Linjiong Zhou
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 4, Pp n/a-n/a (2024)
Abstract We present a variable‐resolution global chemistry‐climate model (AM4VR) developed at NOAA's Geophysical Fluid Dynamics Laboratory (GFDL) for research at the nexus of US climate and air quality extremes. AM4VR has a horizontal resolution
Externí odkaz:
https://doaj.org/article/d6919229a0b24ce98a46e8bb8c88a1bf
Autor:
Oliver Watt‐Meyer, Noah D. Brenowitz, Spencer K. Clark, Brian Henn, Anna Kwa, Jeremy McGibbon, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract Parameterization of subgrid‐scale processes is a major source of uncertainty in global atmospheric model simulations. Global storm‐resolving simulations use a finer grid (less than 5 km) to reduce this uncertainty by explicitly resolving
Externí odkaz:
https://doaj.org/article/e8eeeac9be0a41338c896fabcc34c313
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 12, Pp n/a-n/a (2023)
Abstract The gnomonic cubed‐sphere grid has excellent accuracy and uniformity, but the “kink” in the coordinates at the cube edges in the halo region can leave an imprint of the cube in the solution, and requires special edge handling. To reduc
Externí odkaz:
https://doaj.org/article/f1966ba94d4e45ff8518516951b4b517
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 16, Pp n/a-n/a (2023)
Abstract Though tropical cyclone (TC) models have been routinely evaluated against track and intensity observations, little work has been performed to validate modeled TC wind fields over land. In this paper, we present a simple framework for evaluat
Externí odkaz:
https://doaj.org/article/8dd2bdda90fe4e48993996fc76411925
Autor:
Baoqiang Xiang, Bin Wang, Wei Zhang, Lucas Harris, Thomas L. Delworth, Gan Zhang, William F. Cooke
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Landfalling tropical cyclones (LTCs) are the most devastating disaster to affect the U.S., while the demonstration of skillful subseasonal (between 10 days and one season) prediction of LTCs is less promising. Understanding the mechanisms go
Externí odkaz:
https://doaj.org/article/55d933cd8e384d44b1f1d4660d661445
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 13, Pp n/a-n/a (2023)
Abstract High‐resolution atmospheric models are powerful tools for hurricane track and intensity predictions. Although using high resolution contributes to better representation of hurricane structure and intensity, its value in the prediction of s
Externí odkaz:
https://doaj.org/article/ffef7a416f5549019880524646bd7162
Autor:
Anna Kwa, Spencer K. Clark, Brian Henn, Noah D. Brenowitz, Jeremy McGibbon, Oliver Watt‐Meyer, W. Andre Perkins, Lucas Harris, Christopher S. Bretherton
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 5, Pp n/a-n/a (2023)
Abstract One approach to improving the accuracy of a coarse‐grid global climate model is to add machine‐learned (ML) state‐dependent corrections to the prognosed model tendencies, such that the climate model evolves more like a reference fine
Externí odkaz:
https://doaj.org/article/09772585dee748f782ed267f024303ba
Autor:
Linjiong Zhou, Lucas Harris, Jan‐Huey Chen, Kun Gao, Huan Guo, Baoqiang Xiang, Mingjing Tong, J. Jacob Huff, Matthew Morin
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 7, Pp n/a-n/a (2022)
Abstract We describe the third version of the Geophysical Fluid Dynamics Laboratory cloud microphysics scheme (GFDL MP v3) implemented in the System for High‐resolution prediction on Earth‐to‐Local Domains (SHiELD). Compared to the GFDL MP v2,
Externí odkaz:
https://doaj.org/article/fe5e9cc7e9d94a30bc35f906d2d6c839