Simulation of Cloud-aerosol Lidar with Orthogonal Polarization (CALIOP) Attenuated Backscatter Profiles Using the Global Model of Aerosol Processes (GLOMAP)

Stuart Young; Martin Cope; Sunhee Lee; Kathryn Emmerson; Matthew Woodhouse; Nicolas Bellouin

doi:10.1051/epjconf/201611901005

All issues

Volume 119 (2016)

EPJ Web of Conferences, 119 (2016) 01005

References

Open Access

Issue		EPJ Web of Conferences Volume 119, 2016 The 27^th International Laser Radar Conference (ILRC 27)


Article Number		01005
Number of page(s)		4
Section		Spaceborne Lidar Missions
DOI		https://doi.org/10.1051/epjconf/201611901005
Published online		07 June 2016

Winker, D. M., et al., 2009: Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Oceanic Technol., 26, 2310–2323. [CrossRef] [Google Scholar]
Young, S. A., and M. A. Vaughan, 2009: The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Algorithm Description, J. Atmos. Oceanic Technol., 26, 1105–1119. [CrossRef] [Google Scholar]
Young, S. A. et al., 2013: The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Uncertainty and Error Sensitivity Analyses, J. Atmos. Oceanic Technol., 30, 395–428. [CrossRef] [Google Scholar]
McGregor, J. L., and M. R. Dix, 2001: The CSIRO conformal-cubic atmospheric GCM. In: UTAM Symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics, P. F. Hodnett (Ed.), Kluwer, Dordrecht, 197-202. [CrossRef] [Google Scholar]
McGregor, J. L., and M. R. Dix, 2008: An updated description of the Conformal-Cubic Atmospheric Model, In: Hamilton K. and W. Ohfuchi (Eds.), High Resolution Simulation of the Atmosphere and Ocean Springer, 51–76. [CrossRef] [Google Scholar]
Cope, M. E., et al., 2009: Chemical Transport Model - Technical Description: Centre for Australian Weather and Climate Research, Technical Report 15, Melbourne, Australia. [Google Scholar]
Sarwar, G., et al., 2008: Impact of an updated carbon bond mechanism on predictions from the CMAQ modeling system: Preliminary assessment, J. Appl. Meteorol. Clim., 47, 3–14. [CrossRef] [Google Scholar]
Donahue, N. M., et al., 2006: Coupled partitioning, dilution, and chemical aging of semivolatile organics, Environ. Sci. Technol., 40, 2635–2643. [CrossRef] [PubMed] [Google Scholar]
Fountoukis, C., and A. Nenes, 2007.: ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K⁺ -Ca²⁺ - Mg²⁺ -NH₄ ⁺ -Na⁺ -SO₄ ²⁻ -NO₃ ⁻ -Cl⁻-H₂O aerosols, Atmos. Chem. Phys, 7, 4639–4659. [CrossRef] [Google Scholar]
Mann, G. W., et al., 2010: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519–551. [CrossRef] [Google Scholar]

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[1] Winker, D. M., et al., 2009: Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Oceanic Technol., 26, 2310–2323. [CrossRef] [Google Scholar]

[2] Young, S. A., and M. A. Vaughan, 2009: The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Algorithm Description, J. Atmos. Oceanic Technol., 26, 1105–1119. [CrossRef] [Google Scholar]

[3] Young, S. A. et al., 2013: The Retrieval of Profiles of Particulate Extinction from Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) Data: Uncertainty and Error Sensitivity Analyses, J. Atmos. Oceanic Technol., 30, 395–428. [CrossRef] [Google Scholar]

[4] McGregor, J. L., and M. R. Dix, 2001: The CSIRO conformal-cubic atmospheric GCM. In: UTAM Symposium on Advances in Mathematical Modelling of Atmosphere and Ocean Dynamics, P. F. Hodnett (Ed.), Kluwer, Dordrecht, 197-202. [CrossRef] [Google Scholar]

[5] McGregor, J. L., and M. R. Dix, 2008: An updated description of the Conformal-Cubic Atmospheric Model, In: Hamilton K. and W. Ohfuchi (Eds.), High Resolution Simulation of the Atmosphere and Ocean Springer, 51–76. [CrossRef] [Google Scholar]

[6] Cope, M. E., et al., 2009: Chemical Transport Model - Technical Description: Centre for Australian Weather and Climate Research, Technical Report 15, Melbourne, Australia. [Google Scholar]

[7] Sarwar, G., et al., 2008: Impact of an updated carbon bond mechanism on predictions from the CMAQ modeling system: Preliminary assessment, J. Appl. Meteorol. Clim., 47, 3–14. [CrossRef] [Google Scholar]

[8] Donahue, N. M., et al., 2006: Coupled partitioning, dilution, and chemical aging of semivolatile organics, Environ. Sci. Technol., 40, 2635–2643. [CrossRef] [PubMed] [Google Scholar]

[9] Fountoukis, C., and A. Nenes, 2007.: ISORROPIA II: a computationally efficient thermodynamic equilibrium model for K⁺ -Ca²⁺ - Mg²⁺ -NH₄ ⁺ -Na⁺ -SO₄ ²⁻ -NO₃ ⁻ -Cl⁻-H₂O aerosols, Atmos. Chem. Phys, 7, 4639–4659. [CrossRef] [Google Scholar]

[10] Mann, G. W., et al., 2010: Description and evaluation of GLOMAP-mode: a modal global aerosol microphysics model for the UKCA composition-climate model, Geosci. Model Dev., 3, 519–551. [CrossRef] [Google Scholar]