Articles | Volume 16, issue 1
https://doi.org/10.5194/gmd-16-75-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-75-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Improving snow albedo modeling in the E3SM land model (version 2.0) and assessing its impacts on snow and surface fluxes over the Tibetan Plateau
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Gautam Bisht
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Karl Rittger
Institute for Arctic and Alpine Research, University of Colorado,
Boulder, CO, USA
Edward Bair
Earth Research Institute, University of California, Santa Barbara, CA, USA
Cenlin He
Research Applications Laboratory, National Center for Atmospheric
Research, Boulder, CO, USA
Huilin Huang
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Cheng Dang
Joint Center for Satellite Data Assimilation, University Corporation
for Atmospheric Research, Boulder, CO, USA
Timbo Stillinger
Earth Research Institute, University of California, Santa Barbara, CA, USA
Joint Institute for Regional Earth System Science and Engineering and Department of Atmospheric and Oceanic Sciences, University of California,
Los Angeles, CA, USA
Hailong Wang
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
Yun Qian
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
L. Ruby Leung
Atmospheric Sciences and Global Change Division, Pacific Northwest
National Laboratory, Richland, WA, USA
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Cited
9 citations as recorded by crossref.
- Evaluation of E3SM land model snow simulations over the western United States D. Hao et al. 10.5194/tc-17-673-2023
- The Spatio-Temporal Variability in the Radiative Forcing of Light-Absorbing Particles in Snow of 2003–2018 over the Northern Hemisphere from MODIS J. Cui et al. 10.3390/rs15030636
- Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al. 10.1016/j.jhydrol.2024.131096
- Impacts of snow surface aerodynamic resistance on snow water equivalent simulations in forested regions X. Tang et al. 10.1002/hyp.14985
- Integrating NDVI-Based Within-Wetland Vegetation Classification in a Land Surface Model Improves Methane Emission Estimations T. Yazbeck et al. 10.3390/rs16060946
- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Regional and Teleconnected Impacts of Solar Radiation‐Topography Interaction Over the Tibetan Plateau D. Hao et al. 10.1029/2023GL106293
- Wildfire impacts on western United States snowpacks A. Koshkin et al. 10.3389/frwa.2022.971271
- Midwinter Dry Spells Amplify Post‐Fire Snowpack Decline B. Hatchett et al. 10.1029/2022GL101235
7 citations as recorded by crossref.
- Evaluation of E3SM land model snow simulations over the western United States D. Hao et al. 10.5194/tc-17-673-2023
- The Spatio-Temporal Variability in the Radiative Forcing of Light-Absorbing Particles in Snow of 2003–2018 over the Northern Hemisphere from MODIS J. Cui et al. 10.3390/rs15030636
- Quantifying the long-term changes of terrestrial water storage and their driving factors X. Shi et al. 10.1016/j.jhydrol.2024.131096
- Impacts of snow surface aerodynamic resistance on snow water equivalent simulations in forested regions X. Tang et al. 10.1002/hyp.14985
- Integrating NDVI-Based Within-Wetland Vegetation Classification in a Land Surface Model Improves Methane Emission Estimations T. Yazbeck et al. 10.3390/rs16060946
- Unraveling the optical shape of snow A. Robledano et al. 10.1038/s41467-023-39671-3
- Regional and Teleconnected Impacts of Solar Radiation‐Topography Interaction Over the Tibetan Plateau D. Hao et al. 10.1029/2023GL106293
Latest update: 24 Dec 2024
Executive editor
Surface albedo is critical to understanding the Earth's energy balance. It emerges that snow grain shape and internal mixing of impurities are both important to getting this right, but until now these have not been incorporated into Earth System Models. This paper appears to be the first time that these effects have been included in an Earth System Model.
Surface albedo is critical to understanding the Earth's energy balance. It emerges that snow...
Short summary
Snow with the highest albedo of land surface plays a vital role in Earth’s surface energy budget and water cycle. This study accounts for the impacts of snow grain shape and mixing state of light-absorbing particles with snow on snow albedo in the E3SM land model. The findings advance our understanding of the role of snow grain shape and mixing state of LAP–snow in land surface processes and offer guidance for improving snow simulations and radiative forcing estimates in Earth system models.
Snow with the highest albedo of land surface plays a vital role in Earth’s surface energy...