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Passive remote sensing of the atmospheric boundary layer in Colorado's East River Valley during the seasonal change from snow-free to snow-covered ground
  • +14
  • Bianca Adler,
  • James M. Wilczak,
  • Laura Bianco,
  • Ludovic Bariteau,
  • Christopher Cox,
  • Gijs de Boer,
  • Irina V. Djalalova,
  • Michael R Gallagher,
  • Janet Intrieri,
  • Tilden Meyers,
  • Timothy A Myers,
  • Joseph Olson,
  • Sergio Pezoa,
  • Joseph Sedlar,
  • Elizabeth Smith,
  • David D. Turner,
  • Allen B. White
Bianca Adler
CIRES, University of Colorado Boulder, NOAA, PSL

Corresponding Author:[email protected]

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James M. Wilczak
National Oceanic and Atmospheric Administration (NOAA)
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Laura Bianco
Cooperative Institute for Research in Environmental Sciences
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Ludovic Bariteau
University of Colorado Boulder
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Christopher Cox
National Oceanic and Atmospheric Administration (NOAA)
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Gijs de Boer
University of Colorado Boulder
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Irina V. Djalalova
National Oceanic and Atmospheric Administration (NOAA)
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Michael R Gallagher
CIRES/NOAA-ESRL
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Janet Intrieri
National Oceanic and Atmospheric Administration (NOAA)
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Tilden Meyers
National Oceanic and Atmospheric Administration (NOAA)
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Timothy A Myers
University of Colorado Boulder
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Joseph Olson
National Oceanic and Atmospheric Administration (NOAA)
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Sergio Pezoa
NOAA/ESRL/Physical Sciences Division
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Joseph Sedlar
NOAA Global Monitoring Laboratory
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Elizabeth Smith
National Severe Storms Laboratory
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David D. Turner
NOAA Earth System Research Laboratory
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Allen B. White
Cooperative Institute for Research in Environmental Sciences
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Abstract

The structure and evolution of the atmospheric boundary layer (ABL) under clear-sky fair weather conditions over mountainous terrain is dominated by the diurnal cycle of the surface energy balance and thus strongly depends on surface snow cover. We use data from three passive ground-based infrared spectrometers deployed in the East River Valley in Colorado’s Rocky Mountains to investigate the response of the thermal ABL structure to changes in surface energy balance during the seasonal transition from snow-free to snow-covered ground. Temperature profiles were retrieved from the infrared radiances using the optimal estimation physical retrieval TROPoe. A nocturnal surface inversion formed in the valley during clear-sky days, which was subsequently mixed out during daytime with the development of a convective boundary layer during snow-free periods. When the ground was snow covered, a very shallow convective boundary layer formed, above which the inversion persisted through the daytime hours. We compare these observations to NOAA’s operational High-Resolution-Rapid-Refresh (HRRR) model and find large warm biases on clear-sky days resulting from the model’s inability to form strong nocturnal inversions and to maintain the stable stratification in the valley during daytime when there was snow on the ground. A possible explanation for these model shortcomings is the influence of the model’s relatively coarse horizontal grid spacing (3 km) and its impact on the model’s ability to represent well-developed thermally driven flows, specifically nighttime drainage flows.
10 Jan 2023Submitted to ESS Open Archive
17 Jan 2023Published in ESS Open Archive