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Parameterization of Snowpack Albedo Reduction by Light-Absorbing Impurities
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CITE Title : Parameterization of Snowpack Albedo Reduction by Light-Absorbing Impurities Personal Author(s) : Chan, Hoi Ga;Ginoux, Paul;Malyshev, Sergey;Kapnick, Sarah; Corporate Authors(s) : Geophysical Fluid Dynamics Laboratory (U.S.) Published Date : 2022 Series : NOAA technical memorandum OAR GFDL ; 2022-003 DOI : https://doi.org/10.25923/527j-0a46 Chan, Hoi Ga et al. (2022). Parameterization of Snowpack Albedo Reduction by Light-Absorbing Impurities. https://doi.org/10.25923/527j-0a46 Chan, Hoi Ga et al. "Parameterization of Snowpack Albedo Reduction by Light-Absorbing Impurities" (2022), https://doi.org/10.25923/527j-0a46 Chan, Hoi Ga et al. "Parameterization of Snowpack Albedo Reduction by Light-Absorbing Impurities" , 2022, https://doi.org/10.25923/527j-0a46 Export RIS Citation Information.
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Personal Author:
Chan, Hoi Ga ;
Ginoux, Paul
...
2022 | NOAA technical memorandum OAR GFDL ; 2022-003
Description:
Light-absorbing impurities (LAIs) deposited on snow or ice surface can accelerate melt by increasing absorption of solar radiation directly through ch...
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Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer
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CITE Title : Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer Personal Author(s) : Kaltenbaugh, Alex;Harris, Lucas;Cheng, Kai-Yuan;Zhou, Linjiong;Morin, Matthew;Stern, William; Corporate Authors(s) : Geophysical Fluid Dynamics Laboratory (U.S.). Weather and Climate Dynamics Division Published Date : 2022 Series : NOAA technical memorandum OAR GFDL ; 2022-001 DOI : https://doi.org/10.25923/ednx-rm34 Kaltenbaugh, Alex et al. (2022). Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer. https://doi.org/10.25923/ednx-rm34 Kaltenbaugh, Alex et al. "Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer" (2022), https://doi.org/10.25923/ednx-rm34 Kaltenbaugh, Alex et al. "Using GFDL C-SHiELD for the Prediction of Convective Storms during the 2021 Spring and Summer" , 2022, https://doi.org/10.25923/ednx-rm34 Export RIS Citation Information.
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[PDF - 5.74 MB]
Personal Author:
Kaltenbaugh, Alex ;
Harris, Lucas
...
2022 | NOAA technical memorandum OAR GFDL ; 2022-001
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At the Geophysical Fluid Dynamics Laboratory (GFDL), our research group recently introduced the System for High-resolution prediction on Earth-to-Loca...
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[PDF - 5.74 MB]
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[PDF - 5.74 MB]