Sensitivity of CAM5-simulated Arctic clouds and radiation to ice nucleation parameterization

Xie, Shaocheng; Liu, Xiaohong; Zhao, Chuanfeng; Zhang, Yuying

doi:10.1175/JCLI-D-12-00517.1

Title: Sensitivity of CAM5-simulated Arctic clouds and radiation to ice nucleation parameterization

Journal Article · Tue Aug 06 00:00:00 EDT 2013 · Journal of Climate

DOI:https://doi.org/10.1175/JCLI-D-12-00517.1· OSTI ID:1266669

Xie, Shaocheng ^[1]; Liu, Xiaohong ^[2]; Zhao, Chuanfeng ^[1]; Zhang, Yuying ^[1]

Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sensitivity of Arctic clouds and radiation in the Community Atmospheric Model, version 5, to the ice nucleation process is examined by testing a new physically based ice nucleation scheme that links the variation of ice nuclei (IN) number concentration to aerosol properties. The default scheme parameterizes the IN concentration simply as a function of ice supersaturation. The new scheme leads to a significant reduction in simulated IN concentration at all latitudes while changes in cloud amounts and properties are mainly seen at high- and midlatitude storm tracks. In the Arctic, there is a considerable increase in midlevel clouds and a decrease in low-level clouds, which result from the complex interaction among the cloud macrophysics, microphysics, and large-scale environment. The smaller IN concentrations result in an increase in liquid water path and a decrease in ice water path caused by the slowdown of the Bergeron–Findeisen process in mixed-phase clouds. Overall, there is an increase in the optical depth of Arctic clouds, which leads to a stronger cloud radiative forcing (net cooling) at the top of the atmosphere. The comparison with satellite data shows that the new scheme slightly improves low-level cloud simulations over most of the Arctic but produces too many midlevel clouds. Considerable improvements are seen in the simulated low-level clouds and their properties when compared with Arctic ground-based measurements. As a result, issues with the observations and the model–observation comparison in the Arctic region are discussed.

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Research Organization:: Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC52-07NA27344

OSTI ID:: 1266669

Report Number(s):: LLNL-JRNL-566175

Journal Information:: Journal of Climate, Vol. 26, Issue 16; ISSN 0894-8755

Publisher:: American Meteorological SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 73 works

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References (57)

Measurements of natural deposition and condensation-freezing ice nuclei with a continuous flow chamber Al-Naimi, R.; Saunders, C. P. R. Atmospheric Environment (1967), Vol. 19, Issue 11 https://doi.org/10.1016/0004-6981(85)90012-5	journal	January 1985
The Earth Radiation Budget Experiment (ERBE) Barkstrom, Bruce R. Bulletin of the American Meteorological Society, Vol. 65, Issue 11 https://doi.org/10.1175/1520-0477(1984)065<1170:TERBE>2.0.CO;2	journal	November 1984
Arctic synoptic regimes: Comparing domain-wide Arctic cloud observations with CAM4 and CAM5 during similar dynamics: CAM4 AND CAM5 ARCTIC CLOUD EVALUATION Barton, Neil P.; Klein, Stephen A.; Boyle, James S. Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D15 https://doi.org/10.1029/2012JD017589	journal	August 2012
Ice forming nuclei in the high Arctic Bigg, E. K. Tellus B: Chemical and Physical Meteorology, Vol. 48, Issue 2 https://doi.org/10.3402/tellusb.v48i2.15888	journal	January 1996
COSP: Satellite simulation software for model assessment Bodas-Salcedo, A.; Webb, M. J.; Bony, S. Bulletin of the American Meteorological Society, Vol. 92, Issue 8 https://doi.org/10.1175/2011BAMS2856.1	journal	August 2011
Parameterizing ice nucleation rates using contact angle and activation energy derived from laboratory data Chen, J. -P.; Hazra, A.; Levin, Z. Atmospheric Chemistry and Physics, Vol. 8, Issue 24 https://doi.org/10.5194/acp-8-7431-2008	journal	January 2008
The GCM-Oriented CALIPSO Cloud Product (CALIPSO-GOCCP) Chepfer, H.; Bony, S.; Winker, D. Journal of Geophysical Research, Vol. 115 https://doi.org/10.1029/2009JD012251	journal	January 2010
Objective Determination of Cloud Heights and Radar Reflectivities Using a Combination of Active Remote Sensors at the ARM CART Sites Clothiaux, Eugene E.; Ackerman, Thomas P.; Mace, Gerald G. Journal of Applied Meteorology, Vol. 39, Issue 5 https://doi.org/10.1175/1520-0450(2000)039<0645:ODOCHA>2.0.CO;2	journal	May 2000
Predicting global atmospheric ice nuclei distributions and their impacts on climate DeMott, P. J.; Prenni, A. J.; Liu, X. Proceedings of the National Academy of Sciences, Vol. 107, Issue 25 https://doi.org/10.1073/pnas.0910818107	journal	June 2010
The ice nucleating ability of pollen Diehl, K.; Quick, C.; Matthias-Maser, S. Atmospheric Research, Vol. 58, Issue 2 https://doi.org/10.1016/S0169-8095(01)00091-6	journal	July 2001
The Microbase Value-Added Product: A Baseline Retrieval of Cloud Microphysical Properties Dunn, M.; Johnson, K.; Jensen, M. https://doi.org/10.2172/1015189	report	May 2011
An Overview of the Results of the Atmospheric Model Intercomparison Project (AMIP I) Gates, W. Lawrence; Boyle, James S.; Covey, Curt Bulletin of the American Meteorological Society, Vol. 80, Issue 1 https://doi.org/10.1175/1520-0477(1999)080<0029:AOOTRO>2.0.CO;2	journal	January 1999
Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model Gettelman, A.; Liu, X.; Ghan, S. J. Journal of Geophysical Research, Vol. 115, Issue D18 https://doi.org/10.1029/2009JD013797	journal	January 2010
Climate impacts of ice nucleation: ICE NUCLEATION Gettelman, A.; Liu, X.; Barahona, D. Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D20 https://doi.org/10.1029/2012JD017950	journal	October 2012
Ice nucleation on soot particles Gorbunov, B.; Baklanov, A.; Kakutkina, N. Journal of Aerosol Science, Vol. 32, Issue 2 https://doi.org/10.1016/S0021-8502(00)00077-X	journal	February 2001
A parameterization of cirrus cloud formation: Heterogeneous freezing Kärcher, B. Journal of Geophysical Research, Vol. 108, Issue D14 https://doi.org/10.1029/2002JD003220	journal	January 2003
Inter-annual to multi-decadal Arctic sea ice extent trends in a warming world: ARCTIC SEA ICE TRENDS IN A WARMING WORLD Kay, Jennifer E.; Holland, Marika M.; Jahn, Alexandra Geophysical Research Letters, Vol. 38, Issue 15 https://doi.org/10.1029/2011GL048008	journal	August 2011
The Boundary Layer Response to Recent Arctic Sea Ice Loss and Implications for High-Latitude Climate Feedbacks Kay, J. E.; Raeder, K.; Gettelman, A. Journal of Climate, Vol. 24, Issue 2 https://doi.org/10.1175/2010JCLI3651.1	journal	January 2011
Exposing Global Cloud Biases in the Community Atmosphere Model (CAM) Using Satellite Observations and Their Corresponding Instrument Simulators Kay, J. E.; Hillman, B. R.; Klein, S. A. Journal of Climate, Vol. 25, Issue 15 https://doi.org/10.1175/JCLI-D-11-00469.1	journal	August 2012
The Seasonal Cycle of Low Stratiform Clouds Klein, Stephen A.; Hartmann, Dennis L. Journal of Climate, Vol. 6, Issue 8 https://doi.org/10.1175/1520-0442(1993)006<1587:TSCOLS>2.0.CO;2	journal	August 1993
Contact Versus Immersion Freezing of Freely Suspended Droplets by Bacterial Ice Nuclei Levin, Zev; Yankofsky, Saul A. Journal of Climate and Applied Meteorology, Vol. 22, Issue 11 https://doi.org/10.1175/1520-0450(1983)022<1964:CVIFOF>2.0.CO;2	journal	November 1983
Inclusion of Ice Microphysics in the NCAR Community Atmospheric Model Version 3 (CAM3) Liu, Xiaohong; Penner, Joyce E.; Ghan, Steven J. Journal of Climate, Vol. 20, Issue 18 https://doi.org/10.1175/JCLI4264.1	journal	September 2007
Evaluation of a new mixed-phase cloud microphysics parameterization with CAM3 single-column model and M-PACE observations: CLOUD MICROPHYSICS PARAMETERIZATION Liu, Xiaohong; Xie, Shaocheng; Ghan, Steven J. Geophysical Research Letters, Vol. 34, Issue 23 https://doi.org/10.1029/2007GL031446	journal	December 2007
Testing cloud microphysics parameterizations in NCAR CAM5 with ISDAC and M-PACE observations Liu, Xiaohong; Xie, Shaocheng; Boyle, James Journal of Geophysical Research, Vol. 116 https://doi.org/10.1029/2011JD015889	journal	January 2011
Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5 Liu, X.; Shi, X.; Zhang, K. Atmospheric Chemistry and Physics, Vol. 12, Issue 24 https://doi.org/10.5194/acp-12-12061-2012	journal	January 2012
Toward a minimal representation of aerosols in climate models: description and evaluation in the Community Atmosphere Model CAM5 Liu, X.; Easter, R. C.; Ghan, S. J. Geoscientific Model Development, Vol. 5, Issue 3 https://doi.org/10.5194/gmd-5-709-2012	journal	January 2012
Toward Optimal Closure of the Earth's Top-of-Atmosphere Radiation Budget Loeb, Norman G.; Wielicki, Bruce A.; Doelling, David R. Journal of Climate, Vol. 22, Issue 3 https://doi.org/10.1175/2008JCLI2637.1	journal	February 2009
New Primary Ice-Nucleation Parameterizations in an Explicit Cloud Model Meyers, Michael P.; DeMott, Paul J.; Cotton, William R. Journal of Applied Meteorology, Vol. 31, Issue 7 https://doi.org/10.1175/1520-0450(1992)031<0708:NPINPI>2.0.CO;2	journal	July 1992
A New Two-Moment Bulk Stratiform Cloud Microphysics Scheme in the Community Atmosphere Model, Version 3 (CAM3). Part I: Description and Numerical Tests Morrison, Hugh; Gettelman, Andrew Journal of Climate, Vol. 21, Issue 15 https://doi.org/10.1175/2008JCLI2105.1	journal	August 2008
Resilience of persistent Arctic mixed-phase clouds Morrison, Hugh; de Boer, Gijs; Feingold, Graham Nature Geoscience, Vol. 5, Issue 1 https://doi.org/10.1038/ngeo1332	journal	December 2011
The Impact of Convection on ENSO: From a Delayed Oscillator to a Series of Events Neale, Richard B.; Richter, Jadwiga H.; Jochum, Markus Journal of Climate, Vol. 21, Issue 22 https://doi.org/10.1175/2008JCLI2244.1	journal	November 2008
A Particle-Surface-Area-Based Parameterization of Immersion Freezing on Desert Dust Particles Niemand, Monika; Möhler, Ottmar; Vogel, Bernhard Journal of the Atmospheric Sciences, Vol. 69, Issue 10 https://doi.org/10.1175/JAS-D-11-0249.1	journal	October 2012
Anvil glaciation in a deep cumulus updraught over Florida simulated with the Explicit Microphysics Model. I: Impact of various nucleation processes Phillips, Vaughan T. J.; Andronache, Constantin; Sherwood, Steven C. Quarterly Journal of the Royal Meteorological Society, Vol. 131, Issue 609 https://doi.org/10.1256/qj.04.85	journal	July 2005
An Empirical Parameterization of Heterogeneous Ice Nucleation for Multiple Chemical Species of Aerosol Phillips, Vaughan T. J.; DeMott, Paul J.; Andronache, Constantin Journal of the Atmospheric Sciences, Vol. 65, Issue 9 https://doi.org/10.1175/2007JAS2546.1	journal	September 2008
Reconciling Simulated and Observed Views of Clouds: MODIS, ISCCP, and the Limits of Instrument Simulators Pincus, Robert; Platnick, Steven; Ackerman, Steven A. Journal of Climate, Vol. 25, Issue 13 https://doi.org/10.1175/JCLI-D-11-00267.1	journal	July 2012
The MODIS cloud products: algorithms and examples from terra Platnick, S.; King, M. D.; Ackerman, S. A. IEEE Transactions on Geoscience and Remote Sensing, Vol. 41, Issue 2 https://doi.org/10.1109/TGRS.2002.808301	journal	February 2003
Can Ice-Nucleating Aerosols Affect Arctic Seasonal Climate? Prenni, Anthony J.; Harrington, Jerry Y.; Tjernström, Michael Bulletin of the American Meteorological Society, Vol. 88, Issue 4 https://doi.org/10.1175/BAMS-88-4-541	journal	April 2007
Evaluation of cloud fraction and its radiative effect simulated by IPCC AR4 global models against ARM surface observations Qian, Y.; Long, C. N.; Wang, H. Atmospheric Chemistry and Physics, Vol. 12, Issue 4 https://doi.org/10.5194/acp-12-1785-2012	journal	January 2012
A Comparison of the CCM3 Model Climate Using Diagnosed and Predicted Condensate Parameterizations Rasch, P. J.; Kristjánsson, J. E. Journal of Climate, Vol. 11, Issue 7 https://doi.org/10.1175/1520-0442(1998)011<1587:ACOTCM>2.0.CO;2	journal	July 1998
Advances in Understanding Clouds from ISCCP Rossow, William B.; Schiffer, Robert A. Bulletin of the American Meteorological Society, Vol. 80, Issue 11 https://doi.org/10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2	journal	November 1999
Clouds at Arctic Atmospheric Observatories. Part II: Thermodynamic Phase Characteristics Shupe, Matthew D. Journal of Applied Meteorology and Climatology, Vol. 50, Issue 3 https://doi.org/10.1175/2010JAMC2468.1	journal	March 2011
Arctic Cloud Microphysics Retrievals from Surface-Based Remote Sensors at SHEBA Shupe, Matthew D.; Uttal, Taneil; Matrosov, Sergey Y. Journal of Applied Meteorology, Vol. 44, Issue 10 https://doi.org/10.1175/JAM2297.1	journal	October 2005
Arctic Mixed-Phase Cloud Properties Derived from Surface-Based Sensors at SHEBA Shupe, Matthew D.; Matrosov, Sergey Y.; Uttal, Taneil Journal of the Atmospheric Sciences, Vol. 63, Issue 2 https://doi.org/10.1175/JAS3659.1	journal	February 2006
Arctic Mixed-Phase Cloud Properties from AERI Lidar Observations: Algorithm and Results from SHEBA Turner, D. D. Journal of Applied Meteorology, Vol. 44, Issue 4 https://doi.org/10.1175/JAM2208.1	journal	April 2005
Retrieving Liquid Wat0er Path and Precipitable Water Vapor From the Atmospheric Radiation Measurement (ARM) Microwave Radiometers Turner, David D.; Clough, Shepard A.; Liljegren, James C. IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, Issue 11 https://doi.org/10.1109/TGRS.2007.903703	journal	November 2007
Simulations of 20th and 21st century Arctic cloud amount in the global climate models assessed in the IPCC AR4 Vavrus, Steve; Waliser, Duane; Schweiger, Axel Climate Dynamics, Vol. 33, Issue 7-8 https://doi.org/10.1007/s00382-008-0475-6	journal	October 2008
The Mixed-Phase Arctic Cloud Experiment Verlinde, J.; Harrington, J. Y.; McFarquhar, G. M. Bulletin of the American Meteorological Society, Vol. 88, Issue 2 https://doi.org/10.1175/BAMS-88-2-205	journal	February 2007
Comparison of Arctic Climate Simulations by Uncoupled and Coupled Global Models Walsh, John E.; Kattsov, Vladimir M.; Chapman, William L. Journal of Climate, Vol. 15, Issue 12 https://doi.org/10.1175/1520-0442(2002)015<1429:COACSB>2.0.CO;2	journal	June 2002
Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment Wielicki, Bruce A.; Barkstrom, Bruce R.; Harrison, Edwin F. Bulletin of the American Meteorological Society, Vol. 77, Issue 5 https://doi.org/10.1175/1520-0477(1996)077<0853:CATERE>2.0.CO;2	journal	May 1996
Amplified Arctic climate change: What does surface albedo feedback have to do with it? Winton, Michael Geophysical Research Letters, Vol. 33, Issue 3 https://doi.org/10.1029/2005GL025244	journal	January 2006
Simulations of Arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE Xie, Shaocheng; Boyle, James; Klein, Stephen A. Journal of Geophysical Research, Vol. 113, Issue D4 https://doi.org/10.1029/2007JD009225	journal	January 2008
CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data: A New Data Product for Climate Studies Xie, Shaocheng; McCoy, Renata B.; Klein, Stephen A. Bulletin of the American Meteorological Society, Vol. 91, Issue 1 https://doi.org/10.1175/2009BAMS2891.1	journal	January 2010
Mineral Dust Entrainment and Deposition (DEAD) model: Description and 1990s dust climatology Zender, Charles S. Journal of Geophysical Research, Vol. 108, Issue D14 https://doi.org/10.1029/2002JD002775	journal	January 2003
A contribution by ice nuclei to global warming Zeng, Xiping; Tao, Wei-Kuo; Zhang, Minghua Quarterly Journal of the Royal Meteorological Society, Vol. 135, Issue 643 https://doi.org/10.1002/qj.449	journal	July 2009
Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian climate centre general circulation model Zhang, G. J.; McFarlane, Norman A. Atmosphere-Ocean, Vol. 33, Issue 3 https://doi.org/10.1080/07055900.1995.9649539	journal	September 1995
Low-Cloud Fraction, Lower-Tropospheric Stability, and Large-Scale Divergence Zhang, Yunyan; Stevens, Bjorn; Medeiros, Brian Journal of Climate, Vol. 22, Issue 18 https://doi.org/10.1175/2009JCLI2891.1	journal	September 2009
Toward understanding of differences in current cloud retrievals of ARM ground-based measurements: UNDERSTANDING CLOUD RETRIEVAL DIFFERENCE Zhao, Chuanfeng; Xie, Shaocheng; Klein, Stephen A. Journal of Geophysical Research: Atmospheres, Vol. 117, Issue D10 https://doi.org/10.1029/2011JD016792	journal	May 2012

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