Evaluation of CMIP5 simulated clouds and TOA radiation budgets using NASA satellite observations

Climate Dynamics

Volumn 44, Issue 7-8, 2015, Pages 2229-2247

  Dolinar, Erica K ^a   Dong, Xiquan ^a,b   Xi, Baike ^a   Jiang, Jonathan H ^c   Su, Hui ^c  

^a UNIVERSITY OF NORTH DAKOTA   (United States)

^b BEIJING NORMAL UNIVERSITY   (China)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

CERES MODIS; Cloud fraction; CMIP5; Error analysis; Sensitivity; TOA radiation budget

Indexed keywords

EID: 84939884974     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-014-2158-9     Document Type: Article

References (55)

1. Bony S, Dufresne J-L, Le Treut H, Morcrette J–J, Senior C (2004) On dynamic and thermodynamic components of cloud changes. Clim Dyn 22:71–86. doi:10.1007/s00382-003-0369-6
2. Bony et al (2006) How well do we understand and evaluate climate change feedback processes? J Clim 19:3445–3482
3. Cess et al (1990) Intercomparison and interpretation of climate feedback processes in 19 atmospheric general circulation models. J Geophys Res 95:16601–16615. doi:10.1029/JD095iD10p16601
4. Chen L, Yu Y, Sun D (2013) Cloud and water vapor feedbacks to the El Niño warming: are they still biased in CMIP5 models? J Clim. doi:10.1175/JCLI-D-12-00575.1
5. Chiriaco et al (2007) Comparison of CALIPSO-like, LaRC, and MODIS retrievals of ice- cloud properties over SIRTA in France and Florida during CRYSTAL-FACE. J Appl Meteo Clim 46:249–272. doi:10.1175/JAM2435.1
6. Collins et al (2001) Parameterization of generalized cloud overlap for radiative calculations in general circulation models. J Clim 58:3224–3242
7. Doelling DR, Loeb NG, Keyes DF, Nordeen ML, Morstad D, Nguyen C, Wielicki BA, Young DF, Sun M (2013) Geostationary enhanced temporal interpolation for CERES flux products. J Atmos Ocean Technol 30:1072–1090
8. Dong X, Xi B, Minnis P (2006) A climatology of midlatitude continental clouds from ARM SGP site. Part II: Cloud fraction and surface radiative forcing. J Clim 19:1765–1783
9. Dong X, Minnis P, Xi B, Sun-Mack S, Chen Y (2008a) Comparison of CERES-MODIS stratus cloud properties with ground-based measurements at the DOE ARM Southern Great Plains site. J Geophys Res 113:D03204. doi:10.1029/2007JD008438
10. Dong X, Wielicki BA, Xi B, Hu Y, Mace GG, Benson S, Rose F, Kato S, Charlock T, Minnis P (2008b) Using observations of deep convective systems to constrain atmospheric column absorption of solar radiation in the optically thick limit. J Geophys Res 113:D10206. doi:10.1029/2007JD009769
11. Dong X, Xi B, Kennedy A, Minnis P, Wood R (2014) A 19-month record of Marine Aerosol-Cloud-Radiation properties derived from DOE ARM AMF deployment at the Azores: part I: cloud fraction and single-layered MBL cloud properties. J Clim. doi:10.1175/JCLI-D-13-00553.1
12. Han Q, Rossow WB, Lacis AA (1994) Near-global survey of effective radii in liquid water clouds using ISCCP data. J Clim 7:465–497
13. Hansen J, Nazarenko L, Ruedy R, Sato M, Willis J, Del Genio A, Koch D, Lacis A, Lo K, Menon S, Novakov T, Perlwitz J, Russell G, Schmidt GA, Tausnev N (2005) Earth’s energy imbalance: confirmation and implications. Science 308:1431–1435. doi:10.1126/science.1110252
14. Hogan RJ, Illingworth AJ (2000) Deriving cloud overlap statistics from radar. Q J R Meteorol Soc 126:2903–2909
15. IPCC (2001) Climate change 2001: the scientific basis. In: Houghton JT, Ding Y, Griggs DJ, Noguer M, van der Linden PJ, Dai X, Maskell K, Johnson CA (eds). Contribution of working group I to the third assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 881
16. IPCC AR5 (2013) Chapter 9: evaluation of Climate Models. http://www.climatechange2013.org/images/report/WG1AR5_Chapter09_FINAL.pdf
17. Jiang et al (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
18. Kato S, Sun-Mack S, Miller WF, Rose FG, Chen Y, Minnis P, Wielicki BA (2010) Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles. J Geophys Res 115:D00H28. doi:10.1029/2009JD012277
19. Kennedy A, Dong X, Xi B, Minnus P, Del Genio A, Khaiyer MM, Wolf A (2010) Evaluation of NASA GISS single column model simulated clouds using combines surface and satellite observation. J Clim. doi:10.1175/2010JCLI3353.1
20. Kennedy A, Dong X, Xi B, Xie S, Zhang Y, Chen J (2011) A comparison of MERRA and NARR reanalysis datasets with the DOE ARM SGP continuous forcing data. J Clim 24:4541–4557
21. Klein SA, Zhang Y, Zelinka MD, Pincus R, Boyle J, Gleckler PJ (2013) Are climate model simulations of clouds improving? An evaluation using the ISCCP simulator. J Geophys Res Atmos 118:1329–1342. doi:10.1002/jgrd.50141
22. Lauer A, Hamilton K (2012) Simulating clouds with global climate models: a comparison on CMIP5 results with CMIP3 and satellite data. J Clim. doi:10.1175/JCLI-D-12-00451.1
23. Li J-LF, Waliser DE, Chen W-T, Guan B, Kubar T, Stephens G, Ma H-Y, Deng M, Donner L, Seman C, Horowitz L (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
24. Li J-LF, Waliser DE, Stephens G, Lee S, L’Ecuyer T, Kato S, Loeb N, Ma H-Y (2013) Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis. J Geophys Res Atmos 118:8166–8184. doi:10.1002/jgrd.50378
25. Lin B, Minnis P, Fan T-F, Hu Y, Sun W (2010) Radiation characteristics of low and high clouds in different oceanic regions observed by CERES and MODIS. Int J Remote Sens 31:6473–6492
26. Loeb et al (2012) Advances in understanding top-of-atmosphere radiation variability from satellite observations. Surv Geophys. doi:10.1007/s10712-012-9175-1
27. Mace et al (2005) Evaluation of cirrus cloud properties derived from MODIS data using cloud properties derived from ground-based observations collected at the ARM SGP site. J Appl Meteorol 44:221–240
28. Mace GG, Zhang Q, Vaughan M, Marchand R, Stephens G, Trepte C, Winker D (2009) A description of hydrometeor layer occurrence statistics derived from the first year of merged CloudSat and CALIPSO data. J Geophys Res 114:26. doi:10.1029/2007JD009755
29. Minnis P, Young DF, Wielicki BA, Heck PW, Dong X, Stowe LL, Welch RM (1999) CERES cloud properties derived from multispectral VIRS data. In: Proceedings of SPIE 3867, satellite remote sensing of clouds and the atmosphere IV, 91, December 8, 1999. doi:10.1117/12.373047
30. Minnis P, Young DF, Wielicki BA, Sun-Mack S, Trepte QZ, Chen Y, Heck PW, Dong X (2002) A global cloud database from VIRS and MODIS for CERES. In: Proceedings of SPIE 4891, optical remote sensing of the atmosphere and clouds III 115, April 9, 2003. doi:10.1117/12.467317
31. Minnis P, Yost CR, Sun-Mack S, Chen Y (2008) Estimating the top altitude of optically thick ice clouds from thermal infrared satellite observations using CALIPSO data. Geophys Res Lett 35:L12801. doi:10.1029/2008GL033947
32. Minnis et al (2011) CERES Edition-2 cloud property retrievals using TRMM VIRS and Terra and Aqua MODIS data. Part II: examples of average results and comparisons with other data. IEEE Trans Geosci Remote Sens 49:4401–4430
33. Morcrette JJ, Jakob C (2000) The response of the ECMWF model to changes in the cloud overlap assumption. Mon Weather Rev 128:1707–1732
34. Ramanathan V, Cess RD, Harrison EF, Minnis P, Barkstrom BR, Ahmad E, Hartmann D (1989) Cloud-radiative forcing and climate: results from the earth radiation budget experiment. Science 243:57–63
35. Rossow WB, Schiffer RA (1999) Advances in understanding clouds in ISCCP. Bull Am Meteorol Soc 80:2261–2287
36. Rossow WB, Walker AW, Garder LC (1993) Comparison of ISCCP and other cloud amounts. J Clim 6:2394–2418
37. Senior CA, Mitchell JFB (1993) Carbon dioxide and climate: the impact of cloud parameterization. J Clim 6:393–418
38. Stanfield R, Dong X, Xi B, Kennedy A, Del Genio AD, Minnis P, Jiang J (2014) Assessment of NASA GISS CMIP5 and post-CMIP5 simulated clouds and TOA radiation budgets using satellite observations: part I: cloud fraction and properties. J Clim. doi:10.1175/JCLI-D-13-00588.1
39. Stephens G, Webster PJ (1984) Cloud decoupling of the surface and planetary radiative budgets. J Atmos 41:681–686
40. Stephens GL, Vane DG, Boain RJ, Mace GG, Sassen K, Wang Z, Illingworth AJ, O’Connor EJ, Rossow WB, Durden SL, Miller SD, Austin RT, Benedetti A, Mitrescu C (2002) The CloudSat mission and the A-Train: a new dimension of space-based observations of clouds and precipitation. Bull Am Meteorol Soc 83:1771–1790. doi:10.1175/BAMS-83-12-1771
41. Su H, Jiang JH, Vane DG, Stephens GL (2008) Observed vertical structure of tropical oceanic clouds sorted in large-scale regimes. Geophys Res Lett 35. doi:10.1029/2008GL035888
42. Su H, Jiang JH, Gu Y, Neelin JD, Kahn BH, Feldman D, Yung YL, Waters JW, Livesey NJ, Santee ML, Read WG (2008b) Variations of tropical upper tropospheric clouds with sea surface temperature and implications for radiative effects. J Geophys Res 113:D10211. doi:10.1029/2007JD009624
43. Su et al (2013a) Diagnosis of regime-dependent cloud simulation errors in CMIP5 models using ‘A-Train’ satellite observations and reanalysis data. J Geophys Res 118:2762–2780. doi:10.1029/2012JD018575
44. Su H, Jiang JH, Zhai C, Shen TJ, Neelin JD, Stephens GL, Yung YL (2013b) Weakening and strengthening structures in the hadley circulation change under global warming and implications for cloud response and climate sensitivity. J Geophys Res (In Review)
45. Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106(D7):7183–7192
46. Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498
47. Wang H, Su W (2013) Evaluating and understanding top of the atmosphere cloud radiative effects in International Panel on Climate Change (IPCC) AR5 CMIP5 models using satellite observations. J Geophys Res 118:683–699. doi:10.1029/2012JD018619
48. Wielicki BA, Barkstrom BR, Harrison EF, Lee RB III, Smith GL, Cooper JE (1996) Clouds and the Earth’s Radiant Energy System (CERES): an earth observing system experiment. Bull Am Meteorol Soc 77:853–868
49. Wielicki BA et al (1998) Clouds and the Earth’s Radiant Energy System (CERES): algorithm overview. IEEE Trans Geosci Remote Sens 36:1127–1141
50. Xi B, Dong X, Minnis P, Khaiyer M (2010) A 10-yr climatology of cloud cover and vertical distribution from both surface and GOES observations over DOE ARM SGP site. J Geophys Res 115:D12124. doi:10.1029/2009JD012800
51. Xi B, Dong X, Giannecchini K, Minnis P, Kato S (2014a) An overview of Arctic cloud fraction and height detected by active and passive remote sensing over the ARM NSA site. Geophys Res Lett (Submitted)
52. Xi B, Dong X, Minnis P, Sun-Mack S (2014b) Comparison of CERES-MODIS stratus cloud properties with ground-based measurements at the DOE ARM AMF at AZORES site. J Geophys Res (Submitted)
53. Yao M-S, Del Genio AD (2002) Effects of cloud parameterization on the simulation of climate changes in the GISS GCM. Part II: sea surface temperature and cloud feedbacks. J Clim 15:2491–2504. doi:10.1175/1520-0442
54. Zhang MH et al (2005) Comparing clouds and their seasonal variations in 10 atmospheric general circulation models using satellite measurements. J Geophys Res 110:D15S02. doi:10.1029/2004JD005021
55. Zhu P, Hack JJ, Kiehl J (2007) Diagnosing cloud feedbacks in general circulation models. J Clim 20:2602–2622