Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5559-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5559-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Oct 2018
Research article |
| 26 Oct 2018
| 26 Oct 2018
Evaluating and improving modeled turbulent heat fluxes across the North American Great Lakes
Umarporn Charusombat
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48108, USA
University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, Michigan 48108, USA
University of Michigan, Climate & Space Sciences and Engineering Department, Ann Arbor, Michigan 48109, USA
Andrew D. Gronewold
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48108, USA
Brent M. Lofgren
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48108, USA
Eric J. Anderson
NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, Michigan 48108, USA
Peter D. Blanken
University of Colorado, Department of Geography, Boulder, Colorado 80309, USA
Christopher Spence
Environment and Climate Change Canada, Saskatoon, Saskatchewan, S7N 5C5, Canada
John D. Lenters
University of Wisconsin-Madison, Center for Limnology, Boulder Junction, Wisconsin 54512, USA
Chuliang Xiao
University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, Michigan 48108, USA
Lindsay E. Fitzpatrick
University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, Michigan 48108, USA
Gregory Cutrell
LimnoTech, Ann Arbor, Michigan 48108, USA
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Cited
13 citations as recorded by crossref.
- Improving a Multilevel Turbulence Closure Model for a Shallow Lake in Comparison With Other 1‐D Models L. Sun et al. 10.1029/2019MS001971
- Evaluating Operational Hydrodynamic Models for Real‐time Simulation of Evaporation From Large Lakes A. Gronewold et al. 10.1029/2019GL082289
- Insights on Simulating Summer Warming of the Great Lakes: Understanding the Behavior of a Newly Developed Coupled Lake‐Atmosphere Modeling System M. Kayastha et al. 10.1029/2023MS003620
- Evaluating nine different air-sea flux algorithms coupled with CAM6 Y. Jiang et al. 10.1016/j.atmosres.2024.107486
- A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems K. Semmendinger et al. 10.1111/1752-1688.12893
- Reconciling the water balance of large lake systems A. Gronewold et al. 10.1016/j.advwatres.2020.103505
- A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network Z. Zhang et al. 10.5194/essd-12-2635-2020
- Inland lake temperature initialization via coupled cycling with atmospheric data assimilation S. Benjamin et al. 10.5194/gmd-15-6659-2022
- Validation and Sensitivity Analysis of a 1‐D Lake Model Across Global Lakes M. Guo et al. 10.1029/2020JD033417
- Intercomparison of Thermal Regime Algorithms in 1‐D Lake Models M. Guo et al. 10.1029/2020WR028776
- Cold Season Performance of the NU-WRF Regional Climate Model in the Great Lakes Region M. Notaro et al. 10.1175/JHM-D-21-0025.1
- Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017 Y. Wu et al. 10.1029/2023JD038844
- Intra‐Annual and Interannual Dynamics of Evaporation Over Western Lake Erie C. Shao et al. 10.1029/2020EA001091
12 citations as recorded by crossref.
- Improving a Multilevel Turbulence Closure Model for a Shallow Lake in Comparison With Other 1‐D Models L. Sun et al. 10.1029/2019MS001971
- Evaluating Operational Hydrodynamic Models for Real‐time Simulation of Evaporation From Large Lakes A. Gronewold et al. 10.1029/2019GL082289
- Insights on Simulating Summer Warming of the Great Lakes: Understanding the Behavior of a Newly Developed Coupled Lake‐Atmosphere Modeling System M. Kayastha et al. 10.1029/2023MS003620
- Evaluating nine different air-sea flux algorithms coupled with CAM6 Y. Jiang et al. 10.1016/j.atmosres.2024.107486
- A Probabilistic, Parcel‐Level Inundation Prediction Tool for Medium‐Range Flood Forecasting in Large Lake Systems K. Semmendinger et al. 10.1111/1752-1688.12893
- Reconciling the water balance of large lake systems A. Gronewold et al. 10.1016/j.advwatres.2020.103505
- A dataset of microclimate and radiation and energy fluxes from the Lake Taihu eddy flux network Z. Zhang et al. 10.5194/essd-12-2635-2020
- Inland lake temperature initialization via coupled cycling with atmospheric data assimilation S. Benjamin et al. 10.5194/gmd-15-6659-2022
- Validation and Sensitivity Analysis of a 1‐D Lake Model Across Global Lakes M. Guo et al. 10.1029/2020JD033417
- Intercomparison of Thermal Regime Algorithms in 1‐D Lake Models M. Guo et al. 10.1029/2020WR028776
- Cold Season Performance of the NU-WRF Regional Climate Model in the Great Lakes Region M. Notaro et al. 10.1175/JHM-D-21-0025.1
- Application of a Three‐Dimensional Coupled Hydrodynamic‐Ice Model to Assess Spatiotemporal Variations in Ice Cover and Underlying Mechanisms in Lake Nam Co, Tibetan Plateau, 2007–2017 Y. Wu et al. 10.1029/2023JD038844
1 citations as recorded by crossref.
Latest update: 26 Jul 2024
Short summary
The authors evaluated several algorithms of heat loss and evaporation simulation by comparing with direct measurements at four offshore flux towers in the North American Great Lakes. The algorithms reproduced the seasonal cycle of heat loss and evaporation reasonably, but some algorithms significantly overestimated them during fall to early winter. This was due to false assumption of roughness length scales for temperature and humidity and was improved by employing a correct parameterization.
The authors evaluated several algorithms of heat loss and evaporation simulation by comparing...
