Global dust distribution from improved thin dust layer detection using A-train satellite lidar observations

Geophysical Research Letters

Volumn 42, Issue 2, 2015, Pages 620-628

  Luo, Tao ^a,b   Wang, Zhien ^a   Zhang, Damao ^a   Liu, Xiaohong ^a   Wang, Yong ^c   Yuan, Renmin ^b  

^a UNIVERSITY OF WYOMING   (United States)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^c INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

Author keywords

A train observation; dust detection; dust global distribution

Indexed keywords

AEROSOLS; ALGORITHMS; CLOUDS; OPTICAL RADAR;

A-TRAIN; AEROSOL-CLOUD INTERACTION; CLOUD-AEROSOL LIDAR AND INFRARED PATHFINDER SATELLITE OBSERVATIONS; DEPOLARIZATION RATIO; DUST DETECTION; DUST DISTRIBUTION; GLOBAL DISTRIBUTION; UPPER TROPOSPHERE;

DUST;

ALGORITHM; ALTITUDE; CALIPSO; DUST; GLOBAL CLIMATE; OPTICAL PROPERTY; POLARIZATION; TROPOSPHERE;

EID: 84923543866     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2014GL062111     Document Type: Article

References (44)

1. Adhikari, L., Z. Wang, and, D. Liu, (2010), Microphysical properties of Antarctic polar stratospheric clouds and their dependence on tropospheric cloud systems, J. Geophys. Res., 115, D00H18, doi: 10.1029/2009JD012125.
2. Cziczo, D. J., K. D. Froyd, C. Hoose, E. Jensen, M. Diao, M. Zondlo, J. B. Smith, C. H. Twohy, and, D. M. Murphy, (2013), Clarifying the dominant sources and mechanisms of cirrus cloud formation, Science, 340, 1320-1324, doi: 10.1126/science.1234145.
3. Dee, D. P., et al. (2011), The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. R. Meteorol. Soc., 137, 553-597, doi: 10.1002/qj.828.
4. Eguchi, K., I. Uno, K. Yumimoto, T. Takemura, A. Shimizu, N. Sugimoto, and, Z. Liu, (2009), Trans-Pacific dust transport: Integrated analysis of NASA/CALIPSO and a global aerosol transport model, Atmos. Chem. Phys., 9, 3137-3145, doi: 10.5194/acp-9-3137-2009.
5. Evan, A. T., C. Flamant, S. Fiedler, and, O. Doherty, (2014), An analysis of Aeolian dust in climate models, Geophys. Res. Lett., 41, 5996-6001, doi: 10.1002/2014GL060545.
6. Fernald, F. G., (1984), Analysis of atmospheric lidar observations: Some comments, Appl. Opt., 23 (5), 652-653.
7. Huneeus, N., et al. (2011), Global dust model intercomparison in AeroCom phase I, Atmos. Chem. Phys., 11, 7781-7816, doi: 10.5194/acp-11-7781-2011.
8. Hunt, W. H., D. M. Winker, M. A. Vaughan, K. A. Powell, P. L. Lucker, and, C. Weimer, (2009), CALIPSO lidar description and performance assessment, J. Atmos. Oceanic Technol., 26, 1214-1228, doi: 10.1175/2009JTECHA1223.1.
9. Intergovernmental Panel on Climate Change (2007), Climate Change 2007: The Physical Science Basis, in Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, S. Solomon, et al., p. 996, Cambridge Univ. Press, Cambridge, U. K., and New York.
10. Johnson, M. S., N. Meskhidze, and, V. P. Kiliyanpilakkil, (2012), A global comparison of GEOS-Chem-predicted and remotely-sensed mineral dust aerosol optical depth and extinction profiles, J. Adv. Model. Earth Syst., 4, M07001, doi: 10.1029/2011MS000109.
11. Kim, D., et al. (2014), Sources, sinks, and transatlantic transport of North African dust aerosol: A multimodel analysis and comparison with remote sensing data, J. Geophys. Res. Atmos., 119, 6259-6277, doi: 10.1002/2013JD021099.
12. Kinne, S., et al. (2005), An AeroCom initial assessment-Optical properties in aerosol component modules of global models, Atmos. Chem. Phys., 6, 1815-1834, doi: 10.5194/acp-6-1815-2006.
13. Kohfeld, K. E., and, I. Tegen, (2007), Record of mineral aerosols and their role in the Earth system, Treatise Geochem., 4, 1-26.
14. Kuebbeler, M., U. Lohmann, J. Hendricks, and, B. Kärcher, (2014), Dust ice nuclei effects on cirrus clouds, Atmos. Chem. Phys., 14, 3027-3046, doi: 10.5194/acp-14-3027-2014.
15. Langmann, B., B. Duncan, C. Textor, J. Trentmannd, and, G. R. van der Werf, (2009), Vegetation fire emissions and their impact on air pollution and climate, Atmos. Environ., 43, 107-116, doi: 10.1016/j.atmosenv.2008.09.047.
16. Lee, Y. H., K. Chen, and, P. J. Adams, (2009), Development of a global model of mineral dust aerosol microphysics, Atmos. Chem. Phys., 9, 2441-2458.
17. Liu, D., Z. Wang, Z. Liu, D. Winker, and, C. Trepte, (2008), A height resolved global view of dust aerosols from the first year CALIPSO lidar measurements, J. Geophys. Res., D16214, doi: 10.1029/2007JD009776.
18. Liu, D., Y. Wang, Z. Wang, and, J. Zhou, (2012), The three-dimensional structure of transatlantic African dust transport: A new perspective from CALIPSO LIDAR measurements, Adv. Meteorol., 850704, 9, doi: 10.1155/2012/850704.
19. Liu, X., X. Shi, K. Zhang, E. J. Jensen, A. Gettelman, D. Barahona, A. Nenes, and, P. Lawson, (2012a), Sensitivity studies of dust ice nuclei effect on cirrus clouds with the Community Atmosphere Model CAM5, Atmos. Chem. Phys., 12, 12,061-12,079, doi: 10.5194/acp-12-12061-2012.
20. Liu, X., et al. (2012b), Toward a minimal representation of aerosols in climate models: Description and evaluation in the Community Atmosphere Model CAM5, Geosci. Model Dev., 5, 709-739, doi: 10.5194/gmd-5-709-2012.
21. Liu, Z., M. A. Vaughan, D. M. Winker, C. Kittaka, B. J. Getzewich, R. E. Kuehn, A. Omar, K. Powell, C. R. Trepte, and, C. A. Hostetler, (2009), The CALIPSO lidar cloud and aerosol discrimination: Version 2 algorithm and initial assessment of performance, J. Atmos. Oceanic Technol., 26, 1198-1213.
22. Lohmann, U., et al. (2001), Vertical distributions of sulfur species simulated by large scale atmospheric models in COSAM: Comparison with observations, Tellus B, 53 (5), 646-672, doi: 10.1034/j.1600-0889.2001.530508.x.
23. Mace, G., (2007), Level 2 GEOPROF product process description and interface control document algorithm version 5.3. [Available at http://www.cloudsat.cira.colostate.edu/ICD/2B-GEOPROF/2B-GEOPROF-PDICD-5.3.doc (last access 08/11/2014).]
24. Maher, B. A., J. M. Prospero, D. Mackie, D. Gaiero, P. Hesse, and, Y. Balkanski, (2010), Global connections between Aeolian dust, climate and ocean biogeochemistry at the present day and at the last glacial maximum, Earth Sci. Rev., 99, 61-97, doi: 10.1016/j.earscirev.2009.12.001.
25. Mahowald, N., et al. (2009), Atmospheric iron deposition: Global distribution, variability, and human perturbations, Annu. Rev. Mar. Sci., 1, 245-278.
26. Omar, A. H., et al. (2009), The CALIPSO automated aerosol classification and lidar ratio selection algorithm, J. Atmos. Oceanic Technol., 26, 1994-2014, doi: 10.1175/2009JTECHA1231.1.
27. Partain, P., (2004), Cloudsat ECMWF-AUX auxiliary data process description and interface control document. [Available at http://129.82.109.192/ICD/ECMWF-AUX/ECMWF-AUX-PDICD-3.0.pdf (last access 08/11/2014).]
28. Penner, J. E., et al. (2002), A comparison of model- and satellite-derived aerosol optical depth and reflectivity, J. Atmos. Sci., 59, 441-460, doi: 10.1175/1520-0469(2002)059<0441:ACOMAS>2.0.CO;2.
29. Phillips, V. T. J., J. M. Paul, and, A. Constantin, (2008), An empirical parameterization of heterogeneous ice nucleation for multiple chemical species of aerosol, J. Atmos. Sci., 65, 2757-2783, doi: 10.1175/2007JAS2546.1.
30. Platt, C. M. R., (1979), Remote sounding of high clouds: I. Calculation of visible and infrared optical properties from lidar and radiometer measurements, J. Appl. Meteorol., 18, 1130-1143, doi: 10.1175/1520-0450(1979)018<1130:RSOHCI>2.0.CO;2.
31. Prospero, J. M., and, O. L. Mayol-Bracero, (2013), Understanding the transport and impact of African dust on the Caribbean basin, Bull. Am. Meteorol. Soc., 94, 1329-1337, doi: 10.1175/BAMS-D-12-00142.1.
32. Ridley, D. A., C. L. Heald, J. R. Pierce, and, M. J. Evans, (2013), Toward resolution-independent dust emissions in global models: Impacts on the seasonal and spatial distribution of dust, Geophys. Res. Lett., 40, 2873-2877, doi: 10.1002/grl.50409.
33. Shao, Y., K. H. Wyrwoll, A. Chappell, J. Huang, Z. Lin, G. H. McTainsh, G. H. M. Mikami, T. Y. Tanaka, X. Wang, and, S. Yoon, (2011), Dust cycle: An emerging core theme in Earth system science, Aeolian Res., 2, 181-204.
34. Stith, J. L., et al. (2009), An overview of aircraft observations from the Pacific dust experiment campaign, J. Geophys. Res., 114, D05207, doi: 10.1029/2008JD010924.
35. Textor, C., et al. (2006), Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777-1813, doi: 10.5194/acp-6-1777-2006.
36. Uno, I., et al. (2006), Dust model intercomparison (DMIP) study over Asia: Overview, J. Geophys. Res., 111, D12213, doi: 10.1029/2005JD006575.
37. Uno, I., K. Eguchi, K. Yumimoto, T. Takemura, A. Shimizu, M. Uematsu, Z. Liu, Z. Wang, Y. Hara, and, N. Sugimoto, (2009), Asian dust transported one full circuit around the globe, Nat. Geosci., 2, 557-560, doi: 10.1038/ngeo583.
38. Vaughan, M. A., and, K. A. Powell, (2005), CALIOP algorithm theoretical basis document. Part 2: Feature detection and layer properties algorithms. [Available at http://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202-Part2-rev1x01.pdf (last access 08/11/2014).]
39. Wang, Z., G. Stephens, and, T. Deshler, (2008), Association of Antarctic polar stratospheric cloud formation on tropospheric cloud systems, Geophys. Res. Lett., 35, L13806, doi: 10.1029/2008GL034209.
40. Winker, D. M., M. A. Vaughan, A. Omar, Y. Hu, K. A. Powell, Z. Liu, W. H. Hunt, and, S. A. Young, (2009), Overview of the CALIPSO mission and CALIOP data processing algorithms, J. Atmos. Oceanic Technol., 26, 2310-2323.
41. Winker, D. M., J. L. Tackett, B. J. Getzewich, Z. Liu, M. A. Vaughan, and, R. R. Rogers, (2013), The global 3-D distribution of tropospheric aerosols as characterized by CALIOP, Atmos. Chem. Phys., 13, 3345-3361, doi: 10.5194/acp-13-3345-2013.
42. Zarzycki, C. M., and, T. C. Bond, (2010), How much can the vertical distribution of black carbon affect its global direct radiative forcing?, Geophys. Res. Lett., 37, L20807, doi: 10.1029/2010GL044555.
43. Zhang, D., Z. Wang, A. Heymsfield, J. Fan, D. Liu, and, M. Zhao, (2012), Quantifying the impact of dust on heterogeneous ice generation in midlevel supercooled stratiform clouds, Geophys. Res. Lett., 39, L18805, doi: 10.1029/2012GL052831.
44. Zhang, K., H. Wan, X. Liu, S. J. Ghan, G. J. Kooperman, P.-L. Ma, and, P. J. Rasch, (2014), Technical note: On the use of nudging for aerosol-climate model intercomparison studies, Atmos. Chem. Phys., 14, 8631-8645, doi: 10.5194/acp-14-8631-2014.