Literature DB >> 31662738

CALIPSO (IIR-CALIOP) Retrievals of Cirrus Cloud Ice Particle Concentrations.

David L Mitchell1, Anne Garnier2,3, Jacques Pelon4, Ehsan Erfani5.   

Abstract

A new satellite remote sensing method is described whereby the sensitivity of thermal infrared wave resonance absorption to small ice crystals is exploited to estimate cirrus cloud ice particle number concentration N, effective diameter De, and ice water content IWC. This method uses co-located observations from the Infrared Imaging Radiometer (IIR) and from the CALIOP (Cloud and Aerosol Lidar with Orthogonal Polarization) lidar aboard the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) polar orbiting satellite, employing IIR channels at 10.6 μm and 12.05 μm. Using particle size distributions measured over several flights of the TC4 (Tropical Composition, Cloud and Climate Coupling) and the mid-latitudes SPARTICUS (Small Particles in Cirrus) field campaigns, we show for the first time that N/IWC is tightly related to βeff; the ratio of effective absorption optical depths at 12.05 μm and 10.6 μm. Relationships developed from in situ aircraft measurements are applied to βeff derived from IIR measurements to retrieve N. This satellite remote sensing method is constrained by measurements of βeff from the IIR and is by essence sensitive to the smallest ice crystals. Retrieval uncertainties are discussed, including uncertainties related to in situ measurement of small ice crystals (D < 15 µm), which are studied through comparisons with IIR βeff. The method is applied here to single-layered semi-transparent clouds having a visible optical depth between about 0.3 and 3, where cloud base temperature is ≤ 235 K. Two years of CALIPSO data have been analyzed for the years 2008 and 2013, with the dependence of cirrus cloud N and De on altitude, temperature, latitude, season (winter vs. summer) and topography (land vs. ocean) described. The results for the mid-latitudes show a considerable dependence on season. In the high latitudes, N tends to be highest and De smallest, whereas the opposite is true for the tropics. The frequency of occurrence of these relatively thick cirrus clouds exhibited a strong seasonal dependence in the high latitudes, with the occurrence frequency during Arctic winter being at least twice that of any other season. Processes that could potentially explain some of these micro-and macroscopic cloud phenomena are discussed.

Entities:  

Year:  2018        PMID: 31662738      PMCID: PMC6818510          DOI: 10.5194/acp-18-17325-2018

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   7.197


  7 in total

1.  Scattering and absorption property database for nonspherical ice particles in the near- through far-infrared spectral region.

Authors:  Ping Yang; Heli Wei; Hung-Lung Huang; Bryan A Baum; Yong X Hu; George W Kattawar; Michael I Mishchenko; Qiang Fu
Journal:  Appl Opt       Date:  2005-09-10       Impact factor: 1.980

2.  Does the glory have a simple explanation?

Authors:  H M Nussenzveig
Journal:  Opt Lett       Date:  2002-08-15       Impact factor: 3.776

3.  Cirrus cloud seeding: a climate engineering mechanism with reduced side effects?

Authors:  T Storelvmo; W R Boos; N Herger
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-12-28       Impact factor: 4.226

4.  Ice nucleation and dehydration in the Tropical Tropopause Layer.

Authors:  Eric J Jensen; Glenn Diskin; R Paul Lawson; Sara Lance; T Paul Bui; Dennis Hlavka; Matthew McGill; Leonhard Pfister; Owen B Toon; Rushan Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-22       Impact factor: 11.205

5.  Clarifying the dominant sources and mechanisms of cirrus cloud formation.

Authors:  Daniel J Cziczo; Karl D Froyd; Corinna Hoose; Eric J Jensen; Minghui Diao; Mark A Zondlo; Jessica B Smith; Cynthia H Twohy; Daniel M Murphy
Journal:  Science       Date:  2013-05-09       Impact factor: 47.728

6.  Strong control of Southern Ocean cloud reflectivity by ice-nucleating particles.

Authors:  Jesús Vergara-Temprado; Annette K Miltenberger; Kalli Furtado; Daniel P Grosvenor; Ben J Shipway; Adrian A Hill; Jonathan M Wilkinson; Paul R Field; Benjamin J Murray; Ken S Carslaw
Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-28       Impact factor: 11.205

7.  Impact of aerosols on ice crystal size.

Authors:  Bin Zhao; Kuo-Nan Liou; Yu Gu; Jonathan H Jiang; Qinbin Li; Rong Fu; Lei Huang; Xiaohong Liu; Xiangjun Shi; Hui Su; Cenlin He
Journal:  Atmos Chem Phys       Date:  2018       Impact factor: 6.133

  7 in total
  2 in total

Review 1.  Bounding Global Aerosol Radiative Forcing of Climate Change.

Authors:  N Bellouin; J Quaas; E Gryspeerdt; S Kinne; P Stier; D Watson-Parris; O Boucher; K S Carslaw; M Christensen; A-L Daniau; J-L Dufresne; G Feingold; S Fiedler; P Forster; A Gettelman; J M Haywood; U Lohmann; F Malavelle; T Mauritsen; D T McCoy; G Myhre; J Mülmenstädt; D Neubauer; A Possner; M Rugenstein; Y Sato; M Schulz; S E Schwartz; O Sourdeval; T Storelvmo; V Toll; D Winker; B Stevens
Journal:  Rev Geophys       Date:  2020-03-16       Impact factor: 22.000

2.  Surprising similarities in model and observational aerosol radiative forcing estimates.

Authors:  Edward Gryspeerdt; Johannes Mülmenstädt; Andrew Gettelman; Florent F Malavelle; Hugh Morrison; David Neubauer; Daniel G Partridge; Philip Stier; Toshihiko Takemura; Hailong Wang; Minghuai Wang; Kai Zhang
Journal:  Atmos Chem Phys       Date:  2020-01-17       Impact factor: 6.133

  2 in total

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