Comment on egusphere-2023-153 Article Swipe
Jason A. Otkin
,
Lee M. Cronce
,
Jonathan L. Case
,
R. B. Pierce
,
Monica Harkey
,
Allen Lenzen
,
David S. Henderson
,
Zac Adelman
,
Tsengel Nergui
,
Christopher Hain
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2023-153-rc2
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-2023-153-rc2
Abstract. High-resolution simulations were performed to assess the impact of different parameterization schemes, surface initialization datasets, and analysis nudging on lower-tropospheric conditions near Lake Michigan. Simulations were run where climatological or coarse-resolution surface initialization datasets were replaced by high-resolution, real-time datasets depicting lake surface temperatures (SST), green vegetation fraction (GVF), and soil moisture and temperature (SOIL). Comparison of a baseline simulation employing a configuration similar to that used at the Environmental Protection Agency (“EPA”) to another simulation employing an alternative set of parameterization schemes (referred to as “YNT”) showed that the EPA configuration produced more accurate analyses on the outermost 12-km resolution domain, but that the YNT configuration was superior for higher-resolution nests. The diurnal evolution of the surface energy fluxes was similar in both simulations on the 12-km grid but differed greatly on the 1.3-km grid where the EPA simulation had much smaller sensible heat flux during the daytime and physically unrealistic ground heat flux. Switching to the YNT configuration led to substantial decreases in root mean square error for 2-m temperature and 2-m water vapor mixing ratio on the 1.3-km grid. Additional improvements occurred when the high-resolution satellite-derived surface datasets were incorporated into the modeling platform, with the SOIL dataset having the largest positive impact on temperature and water vapor. The GVF and SST datasets also produced more accurate temperature and water vapor analyses, but degradations in wind speed, especially when using the GVF dataset. The most accurate simulations were obtained when using the high-resolution SST and SOIL datasets and analysis nudging above 2 km AGL.
Related Topics
Concepts
Initialization
Environmental science
Water vapor
Sensible heat
Flux (metallurgy)
Satellite
Grid
Wind speed
Meteorology
Daytime
Atmospheric sciences
Interpolation (computer graphics)
Materials science
Mathematics
Geology
Computer science
Geography
Programming language
Metallurgy
Animation
Engineering
Aerospace engineering
Computer graphics (images)
Geometry
Metadata
- Type
- peer-review
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-2023-153-rc2
- OA Status
- gold
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4366590471
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4366590471Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/egusphere-2023-153-rc2Digital Object Identifier
- Title
-
Comment on egusphere-2023-153Work title
- Type
-
peer-reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-04-20Full publication date if available
- Authors
-
Jason A. Otkin, Lee M. Cronce, Jonathan L. Case, R. B. Pierce, Monica Harkey, Allen Lenzen, David S. Henderson, Zac Adelman, Tsengel Nergui, Christopher HainList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-2023-153-rc2Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.5194/egusphere-2023-153-rc2Direct OA link when available
- Concepts
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Initialization, Environmental science, Water vapor, Sensible heat, Flux (metallurgy), Satellite, Grid, Wind speed, Meteorology, Daytime, Atmospheric sciences, Interpolation (computer graphics), Materials science, Mathematics, Geology, Computer science, Geography, Programming language, Metallurgy, Animation, Engineering, Aerospace engineering, Computer graphics (images), GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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