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Title: Single–Column Model Simulations of Subtropical Marine Boundary–Layer Cloud Transitions Under Weakening Inversions

Abstract

Results are presented of the GASS/EUCLIPSE single-column model inter-comparison study on the subtropical marine low-level cloud transition. A central goal is to establish the performance of state-of-the-art boundary-layer schemes for weather and climate models for this cloud regime, using large-eddy simulations of the same scenes as a reference. A novelty is that the comparison covers four different cases instead of one, in order to broaden the covered parameter space. Three cases are situated in the North-Eastern Pacific, while one reflects conditions in the North-Eastern Atlantic. A set of variables is considered that reflects key aspects of the transition process, making use of simple metrics to establish the model performance. Using this method some longstanding problems in low level cloud representation are identified. Considerable spread exists among models concerning the cloud amount, its vertical structure and the associated impact on radiative transfer. Here, the sign and amplitude of these biases differ somewhat per case, depending on how far the transition has progressed. After cloud breakup the ensemble median exhibits the well-known “too few too bright” problem. The boundary layer deepening rate and its state of decoupling are both underestimated, while the representation of the thin capping cloud layer appears complicated bymore » a lack of vertical resolution. Encouragingly, some models are successful in representing the full set of variables, in particular the vertical structure and diurnal cycle of the cloud layer in transition. An intriguing result is that the median of the model ensemble performs best, inspiring a new approach in subgrid parameterization.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [8]; ORCiD logo [9];  [10]; ORCiD logo [11];  [12]; ORCiD logo [13];  [14]; ORCiD logo [15];  [12]; ORCiD logo [6]; ORCiD logo [15]; ORCiD logo [9] more »; ORCiD logo [16]; ORCiD logo [17]; ORCiD logo [18]; ORCiD logo [19] « less
  1. Univ. of Cologne (Germany); Royal Netherlands Meteorological Inst., De Bilt (The Netherlands)
  2. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  3. Univ. of Colorado, Boulder, CO (United States); NOAA Earth System Research Lab., Boulder, CO (United States)
  4. Météo France/CNRM, Toulouse (France)
  5. Univ. of Washington, Seattle, WA (United States)
  6. Met Office, Exeter (United Kingdom)
  7. Royal Netherlands Meteorological Inst., De Bilt (The Netherlands)
  8. NOAA Center for Weather and Climate Prediction, Environmental Modeling Center, College Park, MD (United States)
  9. Delft Univ. of Technology, Delft (The Netherlands)
  10. Univ. of Washington, Seattle, WA (United States); Univ. of Leeds (United Kingdom)
  11. Univ. of Cologne (Germany); Royal Netherlands Meteorological Institute, De Bilt (The Netherlands)
  12. Météo-France/CNRM & CNRS/IPSL/LMD, Toulouse (France)
  13. Japan Meteorological Agency, Tsukuba (Japan)
  14. Max-Planck Inst. für Meteorologie, Hamburg (Germany)
  15. Univ. of Wisconsin, Milwaukee, WI (United States)
  16. Royal Netherlands Meteorological Institute, De Bilt (The Netherlands)
  17. European Centre for Medium-Range Weather Forecasts, Reading (United Kingdom)
  18. Univ. of California, Los Angeles, CA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  19. NASA Langley Research Centre, Hampton, VA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE; NOAA MAPP; European Union, Seventh Framework Programme; National Science Foundation (NSF)
OSTI Identifier:
1411907
Report Number(s):
PNNL-SA-129345
Journal ID: ISSN 1942-2466; KP1701000
Grant/Contract Number:  
AC05-76RL01830; 244067; GC10‐670a; AGS‐0968640
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Advances in Modeling Earth Systems
Additional Journal Information:
Journal Volume: 9; Journal Issue: 6; Journal ID: ISSN 1942-2466
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; cloud transition; boundary layer; single column models; large eddy simulation; intercomparison; parameterization

Citation Formats

Neggers, R. A. J., Ackerman, A. S., Angevine, W. M., Bazile, E., Beau, I., Blossey, P. N., Boutle, I. A., de Bruijn, C., Cheng, A., van der Dussen, J., Fletcher, J., Dal Gesso, S., Jam, A., Kawai, H., Cheedela, S. K., Larson, V. E., Lefebvre, M. -P., Lock, A. P., Meyer, N. R., de Roode, S. R., de Rooy, W., Sandu, I., Xiao, H., and Xu, K. -M. Single–Column Model Simulations of Subtropical Marine Boundary–Layer Cloud Transitions Under Weakening Inversions. United States: N. p., 2017. Web. doi:10.1002/2017MS001064.
Neggers, R. A. J., Ackerman, A. S., Angevine, W. M., Bazile, E., Beau, I., Blossey, P. N., Boutle, I. A., de Bruijn, C., Cheng, A., van der Dussen, J., Fletcher, J., Dal Gesso, S., Jam, A., Kawai, H., Cheedela, S. K., Larson, V. E., Lefebvre, M. -P., Lock, A. P., Meyer, N. R., de Roode, S. R., de Rooy, W., Sandu, I., Xiao, H., & Xu, K. -M. Single–Column Model Simulations of Subtropical Marine Boundary–Layer Cloud Transitions Under Weakening Inversions. United States. doi:10.1002/2017MS001064.
Neggers, R. A. J., Ackerman, A. S., Angevine, W. M., Bazile, E., Beau, I., Blossey, P. N., Boutle, I. A., de Bruijn, C., Cheng, A., van der Dussen, J., Fletcher, J., Dal Gesso, S., Jam, A., Kawai, H., Cheedela, S. K., Larson, V. E., Lefebvre, M. -P., Lock, A. P., Meyer, N. R., de Roode, S. R., de Rooy, W., Sandu, I., Xiao, H., and Xu, K. -M. Wed . "Single–Column Model Simulations of Subtropical Marine Boundary–Layer Cloud Transitions Under Weakening Inversions". United States. doi:10.1002/2017MS001064. https://www.osti.gov/servlets/purl/1411907.
@article{osti_1411907,
title = {Single–Column Model Simulations of Subtropical Marine Boundary–Layer Cloud Transitions Under Weakening Inversions},
author = {Neggers, R. A. J. and Ackerman, A. S. and Angevine, W. M. and Bazile, E. and Beau, I. and Blossey, P. N. and Boutle, I. A. and de Bruijn, C. and Cheng, A. and van der Dussen, J. and Fletcher, J. and Dal Gesso, S. and Jam, A. and Kawai, H. and Cheedela, S. K. and Larson, V. E. and Lefebvre, M. -P. and Lock, A. P. and Meyer, N. R. and de Roode, S. R. and de Rooy, W. and Sandu, I. and Xiao, H. and Xu, K. -M.},
abstractNote = {Results are presented of the GASS/EUCLIPSE single-column model inter-comparison study on the subtropical marine low-level cloud transition. A central goal is to establish the performance of state-of-the-art boundary-layer schemes for weather and climate models for this cloud regime, using large-eddy simulations of the same scenes as a reference. A novelty is that the comparison covers four different cases instead of one, in order to broaden the covered parameter space. Three cases are situated in the North-Eastern Pacific, while one reflects conditions in the North-Eastern Atlantic. A set of variables is considered that reflects key aspects of the transition process, making use of simple metrics to establish the model performance. Using this method some longstanding problems in low level cloud representation are identified. Considerable spread exists among models concerning the cloud amount, its vertical structure and the associated impact on radiative transfer. Here, the sign and amplitude of these biases differ somewhat per case, depending on how far the transition has progressed. After cloud breakup the ensemble median exhibits the well-known “too few too bright” problem. The boundary layer deepening rate and its state of decoupling are both underestimated, while the representation of the thin capping cloud layer appears complicated by a lack of vertical resolution. Encouragingly, some models are successful in representing the full set of variables, in particular the vertical structure and diurnal cycle of the cloud layer in transition. An intriguing result is that the median of the model ensemble performs best, inspiring a new approach in subgrid parameterization.},
doi = {10.1002/2017MS001064},
journal = {Journal of Advances in Modeling Earth Systems},
number = 6,
volume = 9,
place = {United States},
year = {2017},
month = {9}
}

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