Cloud-state-dependent sampling in airs observations based on cloudsat cloud classification

Journal of Climate

Volumn 26, Issue 21, 2013, Pages 8357-8377

  Yue, Qing ^a,b   Fetzer, Eric J ^a   Kahn, Brian H ^a   Wong, Sun ^a   Manipon, Gerald ^a   Guillaume, Alexandre ^a   Wilson, Brian ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b Los Angeles   (United States)

Author keywords

Climate records; Clouds; Satellite observations; Temperature; Water vapor

Indexed keywords

ATMOSPHERIC INFRARED SOUNDERS; BOUNDARY LAYER CLOUDS; CLIMATE RECORD; CLOUD CLASSIFICATION; INFRARED SOUNDING; ROOT MEAN SQUARES; SATELLITE OBSERVATIONS; VERTICAL PROFILE;

CLOUDS; INFRARED DEVICES; SOUNDING APPARATUS; TEMPERATURE; WATER VAPOR;

INFRARED INSTRUMENTS;

AIRS; CLOUD CLASSIFICATION; CLOUDSAT; SAMPLING BIAS; SATELLITE DATA; TEMPERATURE; WATER VAPOR;

EID: 84886239379     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00065.1     Document Type: Article

References (63)

1. Ackerman, T. P., and G. M. Stokes, 2003: The Atmospheric Radiation Measurement Program. Phys. Today, 56, 38-44, doi:10.1063/1.1554135.
2. Aumann, H.H., andCoauthors, 2003: AIRS/AMSU/HSBon theAqua mission: Design, science objectives, data products and processing system. IEEE Trans. Geosci. Remote Sens., 41, 253-264.
3. Bloom, H. J., 2001: The Cross-track Infrared Sounder (CrIS): A sensor for operational meteorological remote sensing. IGARSS'01: IEEE 2001 International Geoscience and Remote Sensing Symposium, Vol. 3, IEEE, 1341-1343.
4. Buehler, S. A., M. Kuvatov, V. O. John, M. Milz, B. J. Soden, D. L. Jackson, and J. Notholt, 2008: An upper tropospheric humidity data set from operational satellite microwave data. J. Geophys. Res., 113, D14110, doi:10.1029/2007JD009314.
5. Chaboureau, J.-P., A. Chédin, and N. Scott, 1998: Remote sensing of the vertical distribution of atmospheric water vapor from the TOVS observations: Method and validation. J. Geophys. Res., 103, 8743-8752.
6. Chen, Y.-H., and A. D. Del Genio, 2009: Evaluation of tropical cloud regimes in observations and a general circulation model. Climate Dyn., 32, 355-369, doi:10.1007/s00382-008-0386-6.
7. Courtier, P., and Coauthors, 1998: The ECMWF implementation of three dimensional variational assimilation (3D-Var). I: Formulation. Quart. J. Roy. Meteor. Soc., 124, 1783-1807.
8. Del Genio, A. D., 2012: Representing the sensitivity of convective cloud systems to tropospheric humidity in general circulation models. Surv. Geophys., 33, 637-656.
9. Divakarla, M. G., C. D. Barnet, M. D. Goldberg, L. M. McMillin, E. Maddy, W. Wolf, L. Zhou, and X. Liu, 2006: Validation of Atmospheric Infrared Sounder temperature and water vapor retrievals with matched radiosonde measurements and forecasts. J. Geophys. Res., 111, D09S15, doi:10.1029/2005JD006116.
10. Fetzer, E. J., cited 2012: A multi-sensor water vapor climate data record using cloud classification. NASA MEaSUREs Project. [Available online at http://disc.sci.gsfc.nasa.gov/daac-bin/DataHoldingsMEASURES.pl?PROGRAM_List5 EricFetzer.]
11. Fetzer, E. J., B. H. Lambrigtsen, A. Eldering, H. H. Aumann, and M. T. Chahine, 2006: Biases in total precipitable water vapor climatologies from Atmospheric Infrared Sounder and Advanced Microwave Scanning Radiometer. J. Geophys. Res., 111, D09S16, doi:10.1029/2005JD006598.
12. Guan, B., D. E. Waliser, J.-L. F. Li, and A. da Silva, 2013: Evaluating the impact of orbital sampling on satellite-climate model comparisons. J. Geophys. Res., 118, 355-369, doi:10.1029/2012JD018590.
13. Hahn, C. J., and S. G. Warren, 2003: A gridded climatology of clouds over land (1971-96) and ocean (1954-97) from surface observations worldwide. CDIAC Rep. ORNL/CDIAC-153/NDP-026E, 75 pp. [Available online at http://cdiac.ornl.gov/ftp/ndp026e/ndp026e.pdf.]
14. Hansen, J., M. Sato, and R. Ruedy, 2012: Perception of climate change. Proc. Natl. Acad. Sci., 109, E2415-E2423, doi:10.1073/pnas.1205276109.
15. Hilton, F., and Coauthors, 2012: Hyperspectral earth observation from IASI: Five years of accomplishments. Bull. Amer. Meteor. Soc., 93, 347-370.
16. Hutchison, K.D., J. K. Roskovensky, J. M. Jackson, A. K. Heidinger, T. Kopp, M. J. Pavolonis, and R. Frey, 2005: Automated cloud detection and classification of data collected by the Visible Infrared Imager Radiometer Suite (VIIRS). Int. J. Remote Sens., 26, 4681-4706.
17. Jakob, C., and G. Tselioudis, 2003: Objective identification of cloud regimes in the tropical western Pacific. Geophys. Res. Lett., 30, 2082, doi:10.1029/2003GL018367.
18. Jakob, C., G. Tselioudis, and T. Hume, 2005: The radiative, cloud, and thermodynamic properties of the major tropical western Pacific cloud regimes. J. Climate, 18, 1203-1215.
19. Jiang, J. H., and Coauthors, 2012: Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA ''A-Train'' satellite observations. J. Geophys. Res., 117, D14105, doi:10.1029/2011JD017237.
20. John, V. O., G. Holl, R. P. Allan, S. A. Buehler, D. E. Parker, and B. J. Soden, 2011: Clear-sky biases in satellite infrared estimates of upper tropospheric humidity and its trends. J. Geophys. Res., 116, D14108, doi:10.1029/2010JD015355.
21. Kahn, B. H., and J. Teixeira, 2009: A global climatology of temperature and water vapor variance scaling from the Atmospheric Infrared Sounder. J. Climate, 22, 5558-5576.
22. Kahn, B. H., and Coauthors, 2008: Cloud-type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount. Atmos. Chem. Phys., 8, 1231-1248.
23. Keihm, S., and Coauthors, 2009: Ocean water vapor and cloud liquid water trends from 1992 to 2005 TOPEX Microwave Radiometer data. J. Geophys. Res., 114, D18101, doi:10.1029/2009JD012145.
24. Kwon, E.-H., B. J. Sohn, W. L. Smith, and J. Li, 2012: Validating IASI temperature and moisture sounding retrievals over East Asia using radiosonde observations. J. Atmos. Oceanic Technol., 29, 1250-1262.
25. L'Ecuyer, T. S., and J. Jiang, 2010: Touring the atmosphere aboard the A-Train. Phys. Today, 63, 36-41.
26. Lambrigtsen, B. H., and S.-Y. Lee, 2003: Co-alignment and synchronization of the AIRS instrument suite. IEEE Trans. Geosci. Remote Sens., 41, 343-351.
27. Lanzante, J. R., and G. E. Gahrs, 2000: The ''clear-sky bias'' of TOVS upper-tropospheric humidity. J. Climate, 13, 4034-4041.
28. Li, J., W. P. Menzel, Z. Yang, R. A. Frey, and S. A. Ackerman, 2003: High-spatial-resolution surface and cloud-type classification fromMODISmultispectral bandmeasurements. J. Appl. Meteor., 42, 204-226.
29. Li, J.-L. F., and Coauthors, 2012: An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data. J. Geophys. Res., 117, D16105, doi:10.1029/2012JD017640.
30. Li, Z., J. Li, W. P. Menzel, T. J. Schmit, and S. A. Ackerman, 2007: Comparison between current and future environmental satellite imagers on cloud classification using MODIS. Remote Sens. Environ., 108, 311-326.
31. Liou, K.-N., 2002: An Introduction to Atmospheric Radiation. 2nd ed. Academic Press, 583 pp.
32. Ma, H.-Y., M. Köhler, J.-L. F. Li, J. D. Farrara, C. R. Mechoso, R. M. Forbes, and D. E. Waliser, 2012: Evaluation of an ice cloud parameterization based on a dynamical-microphysical lifetime concept using CloudSat observations and the ERAInterim reanalysis. J. Geophys. Res., 117, D05210, doi:10.1029/2011JD016275.
33. Marchand, R., T. P. Ackerman, M. Smyth, and W. B. Rossow, 2010: A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODIS. J. Geophys. Res., 115, D16206, doi:10.1029/2009JD013422.
34. McNally, A. P., P. D. Watts, J. A. Smith, R. Engelen, G. A. Kelly, J. N. Thépaut, and M. Matricardi, 2006: The assimilation of AIRS radiance data at ECMWF. Quart. J. Roy. Meteor. Soc., 132, 935-957.
35. Olsen, E. T., Ed., 2007: AIRS/AMSU/HSB version 5 data release user guide. JPL Doc., 68 pp. [Available online at http://disc.sci. gsfc.nasa.gov/AIRS/documentation/v5_docs/AIRS_V5_Release_ User_Docs/V5_Data_Release_UG.pdf.]
36. Pavolonis, M. J., K.A. Heidinger, and U. Taneil, 2005:Daytime global cloud typing from AVHRR and VIIRS: Algorithm description, validation, and comparisons. J. Appl. Meteor., 44, 804-826.
37. Reale, O., J. Susskind, R. Rosenberg, E. Brin, E. Liu, L. P. Riishojgaard, J. Terry, and J. C. Jusem, 2008: Improving forecast skill by assimilation of quality-controlled AIRS temperature retrievals under partially cloudy conditions. Geophys. Res. Lett., 35, L08809, doi:10.1029/2007GL033002.
38. Rossow, W. B., and R. A. Schiffer, 1991: ISCCP cloud data products. Bull. Amer. Meteor. Soc., 71, 2-20.
39. Rossow, W. B., and R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2288.
40. Sassen, K., and Z. Wang, 2008: Classifying clouds around the globe with the CloudSat radar: 1-year of results. Geophys. Res. Lett., 35, L04805, doi:10.1029/2007GL032591.
41. Schmit, T. J., J. Li, S. A. Ackerman, and J. J. Gurka, 2009: Highspectral- and high-temporal-resolution infrared measurements from geostationary orbit. J. Atmos. Oceanic Technol., 26, 2273-2292.
42. Schneider, T., P. A. O'Gorman, and X. J. Levine, 2010: Water vapor and the dynamics of climate changes. Rev. Geophys., 48, RG3001, doi:10.1029/2009RG000302.
43. Sherwood, S. C., R. Roca, T. M. Weckwerth, and N. G. Andronova, 2010: Tropospheric water vapor, convection, and climate. Rev. Geophys., 48, RG2001, doi:10.1029/2009RG000301.
44. Sohn, B. J., J. Schmetz, R. Stuhlmann, and J. Y. Lee, 2006: Dry bias in satellite-derived clear-sky water vapor and its contribution to longwave cloud radiative forcing. J. Climate, 19, 5570-5580.
45. Stephens, G. L., and Coauthors, 2008: CloudSat mission: Performance and early science after the first year of operation. J. Geophys. Res., 113, D00A18, doi:10.1029/2008JD009982.
46. Susskind, J., C. Barnet, J. Blaisdell, L. Iredell, F. Keita, L. Kouvaris, G. Molnar, and M. Chahine, 2006: Accuracy of geophysical parameters derived from Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit as a function of fractional cloud cover. J. Geophys. Res., 111, D09S17, doi:10.1029/2005JD006272.
47. Susskind, J., J. M. Blaisdell, L. Iredell, and F. Keita, 2011: Improved temperature sounding and quality control methodology using AIRS/AMSUdata: TheAIRS Science Team Version 5 retrieval algorithm. IEEE Trans. Geosci. Remote Sens., 49, 883-907.
48. Tanelli, S., S. L. Durden, E. Im, K. S. Pak, D. Reinke, P. Partain, R. Marchand, and J. Haynes, 2008: CloudSat's Cloud Profiling Radar after 2 years in orbit: Performance, external calibration, and processing. IEEE Trans. Geosci. Remote Sens., 46, 3560-3573.
49. Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geophys. Res., 106 (D7), 7183-7192.
50. Tian, B., D. E. Waliser, E. J. Fetzer, B. H. Lambrigtsen, Y. L. Yung, and B. Wang, 2006: Vertical moist thermodynamic structure and spatial-temporal evolution of the MJO in AIRS observations. J. Atmos. Sci., 63, 2462-2485.
51. Tobin, D. C., and Coauthors, 2006: Atmospheric Radiation Measurement site atmospheric state best estimates for Atmospheric Infrared Sounder temperature and water vapor retrieval validation. J. Geophys. Res., 111, D09S14, doi:10.1029/2005JD006103.
52. Trenberth, K. E., J. Fasullo, and L. Smith, 2005: Trends and variability in column-integrated atmospheric water vapor. Climate Dyn., 24, 741-758.
53. Wang, F., J. Li, T. J. Schmit, and S. A. Ackerman, 2007: Trade-offstudies of hyperspectral infrared sounder on geostationary satellite. Appl. Opt., 46, 200-209.
54. Wang, Z., and K. Sassen, 2001: Cloud type and macrophysical property retrieval using multiple remote sensors. J. Appl. Meteor., 40, 1665-1682.
55. Williams, K. D., and G. Tselioudis, 2007: GCM intercomparison of global cloud regimes: Present-day evaluation and climate change response. Climate Dyn., 29, 231-250.
56. Wong, S., E. J. Fetzer, B. H. Kahn, B. Tian, B. H. Lambrigtsen, and H. Ye, 2011: Closing the global water vapor budget with AIRS water vapor, MERRA reanalysis, TRMM and GPCP precipitation, and GSSTF surface evaporation. J. Climate, 24, 6307-6321.
57. Wood, R., and P. R. Field, 2011: The distribution of cloud horizontal sizes. J. Climate, 24, 4800-4816.
58. Wu, X., J. J. Bates, and S. J. S. Khalsa, 1993: A climatology of the water vapor band brightness temperatures from NOAA operational satellites. J. Climate, 6, 1282-1300.
59. Xu, K. M., T. Wong, B. A. Wielicki, L. Parker, and Z. A. Eitzen, 2005: Statistical analyses of satellite cloud object data from CERES. Part I: Methodology and preliminary results of the 1998 El Ni~no/2000 La Ni~na. J. Climate, 18, 2497-2514.
60. Xu, K. M., T. Wong, B. A. Wielicki, L. Parker, B. Lin, Z. A. Eitzen, and M. Branson, 2007: Statistical analyses of satellite cloud object data from CERES. Part II: Tropical convective cloud objects during 1998 El Ni~no and evidence for supporting the fixed anvil temperature hypothesis. J. Climate, 20, 819-842.
61. Yue, Q., B. H. Kahn, E. J. Fetzer, and J. Teixeira, 2011: Relationship between marine boundary layer clouds and lower tropospheric stability observed by AIRS, CloudSat, and CALIOP. J. Geophys. Res., 116, D18212, doi:10.1029/2011JD016136.
62. Zelinka, M. D., S. A. Klein, K. E. Taylor, T. Andrews, M. J. Webb, J. M. Gregory, and P. M. Forster, 2013: Contributions of different cloud types to feedbacks and rapid adjustments in CMIP5. J. Climate, 26, 5007-5027.
63. Zhang, M. H., and Coauthors, 2005: Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J. Geophys. Res., 110, D15S02, doi:10.1029/2004JD005021.