Simulating surface energy fluxes using the variable-resolution Community Earth System Model (VR-CESM) Article Swipe
Elizabeth A. Burakowski
,
Ahmed B. Tawfik
,
Andrew P. Ouimette
,
L. C. Lepine
,
Colin M. Zarzycki
,
Kimberly A. Novick
,
Scott V. Ollinger
,
Gordon B. Bonan
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1007/s00704-019-02785-0
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1007/s00704-019-02785-0
Recent advances in variable-resolution (VR) global models provide the tools necessary to investigate local and global impacts of land cover by embedding a high-resolution grid over areas of interest in a seamless and computationally efficient manner. We used two eddy covariance tower clusters in the Eastern USA to evaluate surface energy fluxes (latent heat, $λE$; sensible heat, $H$; net radiation, $R_{\textrm{n}}$; and ground heat, $G$) and surface properties (aerodynamic resistance to heat transfer, $r_{\textrm{aero}}$; Bowen ratio, $β$; and albedo, $α$) by uncoupled point simulations of the land-only Community Land Model (PTCLM4.5) and two coupled land–atmosphere Community Earth System Model (CESM1.3) simulations. The CESM simulations included a 1° uniform grid global simulation and global 1° simulation with a 0.25° refined VR grid over the Eastern USA. Tower clusters included the following plant functional types—broadleaf deciduous temperate (hardwood) forest, C3 non-Arctic grass (grass), a cropland, and needleleaf evergreen temperate (pine) forest. During the growing season, diurnal cycles of $λE$ and $H$ for grass and the cropland were simulated well by PTCLM4.5 and VR-CESM1.3; however, $λE$ ($H$) was biased low (high) at the hardwood and pine forested sites, contributing to biases in $β$. Growing season $R_{\textrm{n}}$ was generally well simulated by CLM4.5 and VR-CESM1.3; however, modeled elevated albedo (indicative of snow cover) persisted longer in winter and spring leading to large biases in $R_{\textrm{n}}$ and $α$. The introduction of a VR grid does not adversely impact surface energy fluxes compared to 1° uniform grids and highlights the usefulness of this approach for future efforts to predict land–atmosphere fluxes across heterogeneous landscapes.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s00704-019-02785-0
- https://link.springer.com/content/pdf/10.1007/s00704-019-02785-0.pdf
- OA Status
- hybrid
- Cited By
- 13
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2916080494
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2916080494Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1007/s00704-019-02785-0Digital Object Identifier
- Title
-
Simulating surface energy fluxes using the variable-resolution Community Earth System Model (VR-CESM)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-02-22Full publication date if available
- Authors
-
Elizabeth A. Burakowski, Ahmed B. Tawfik, Andrew P. Ouimette, L. C. Lepine, Colin M. Zarzycki, Kimberly A. Novick, Scott V. Ollinger, Gordon B. BonanList of authors in order
- Landing page
-
https://doi.org/10.1007/s00704-019-02785-0Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s00704-019-02785-0.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
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https://link.springer.com/content/pdf/10.1007/s00704-019-02785-0.pdfDirect OA link when available
- Concepts
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Environmental science, Atmospheric sciences, Albedo (alchemy), Latent heat, Snow, Climate model, Sensible heat, Snowpack, Climatology, Meteorology, Climate change, Geography, Geology, Performance art, Art, Oceanography, Art historyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
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2024: 3, 2023: 4, 2022: 1, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
72Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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