Cloud regime evolution in the Indian monsoon intraseasonal oscillation: Connection to large-scale dynamical conditions and the atmospheric water budget

Geophysical Research Letters

Volumn 42, Issue 21, 2015, Pages 9465-9472

  Wang, Tao ^a   Wong, Sun ^a   Fetzer, Eric J ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

cloud regimes; deep convection; Indian monsoon ISO; large scale dynamics; moisture advection; moisture convergence

Indexed keywords

ADVECTION; ATMOSPHERIC THERMODYNAMICS; BUDGET CONTROL; CLOUDS; MOISTURE; NATURAL CONVECTION; RAIN;

DEEP CONVECTION; INDIAN MONSOON; LARGE-SCALE DYNAMICS; MOISTURE ADVECTION; MOISTURE CONVERGENCE;

TROPICAL ENGINEERING;

ADVECTION; CIRRUS; CLIMATE OSCILLATION; CLOUD COVER; CUMULUS; EQUATORIAL WAVE; MOISTURE TRANSFER; MONSOON; PRECIPITATION (CLIMATOLOGY); SEASONAL VARIATION; WATER BUDGET;

INDIA; INDIAN OCEAN;

EID: 84955209801     PISSN: 00948276     EISSN: 19448007     Source Type: Journal    
DOI: 10.1002/2015GL066353     Document Type: Article

References (31)

1. Abhik, S., M. Halder, P. Mukhopadhyay, X. Jiang, and, B. Goswami, (2013), A possible new mechanism for northward propagation of boreal summer intraseasonal oscillations based on TRMM and MERRA reanalysis, Clim. Dyn., 40 (7-8), 1611-1624, doi: 10.1007/s00382-012-1425-x.
2. Bony, S., et al., (2015), Clouds, circulation and climate sensitivity, Nat. Geosci., 8, 261-268.
3. Del Genio, A. D., Y. Chen, D. Kim, and, M. S. Yao, (2012), The MJO transition from shallow to deep convection in CloudSat/CALIPSO data and GISS GCM simulations, J. Clim., 25 (11), 3755-3770.
4. Dessler, A. E., (2010), A determination of the cloud feedback from climate variations over the past decade, Science, 330, 1523-1527, doi: 10.1126/science.1192546.
5. Fu, X., B. Wang, and, L. Tao, (2006), Satellite data reveal the 3-D moisture structure of tropical intraseasonal oscillation and its coupling with underlying ocean, Geophys. Res. Lett., 33, L03705, doi: 10.1029/2005GL025074.
6. Goswami, B. N., (2005), Intraseasonal variability (ISV) of south Asian summer monsoon, in Intraseasonal Variability of the Atmosphere-Ocean Climate System, edited by, W. K.-M. Lau, and, D. E. Waliser, pp. 19-61, Springer, Berlin.
7. Huffman, G. J., D. T. Bolvin, and, R. F. Adler, (2012), GPCP version 1.2 1-Degree Daily (1DD) precipitation data set, WDC-A, NCDC, Asheville, N. C. [Available at http://www.ncdc.noaa.gov/oa/wmo/wdcametncdc.html.]
8. Jiang, X., T. Li, and, B. Wang, (2004), Structures and mechanisms of the northward propagating boreal summer intraseasonal oscillation, J. Clim., 17, 1022-1039, doi: 10.1175/1520-0442(2004)017<1022:SAMOTN>2.0.CO;2.
9. Jiang, X., D. E. Waliser, J.-L. Li, and, C. Woods, (2011), Vertical structures of cloud water associated with the boreal summer intraseasonal oscillation based on CloudSat observations and ERA-Interim reanalysis, Clim. Dyn., 36, 2219-2232, doi: 10.1007/s00382-010-0853-8.
10. Kiladis, G. N., K. H. Straub, and, P. T. Haertel, (2005), Zonal and vertical structure of the Madden-Julian Oscillation, J. Atmos. Sci., 62 (8), 2790-2809.
11. Kiladis, G. N., M. C. Wheeler, P. T. Haertel, K. H. Straub, and, P. E. Roundy, (2009), Convectively coupled equatorial waves, Rev. Geophys., 47, RG2003, doi: 10.1029/2008RG000266.
12. King, M. D., S. Platnick, P. A. Hubanks, G. T. Arnold, E. G. Moody, G. Wind, and, B. Wind, (2006), Collection 005 change summary for the MODIS cloud optical property (06-OD) algorithm, NASA Rep., Version 3.1, 23 pp. [Available online at http://modis-atmos.gsfc.nasa.gov/C005-Changes/C005-CloudOpticalProperties-ver311.pdf.]
13. King, M. D., S. Platnick, W. P. Menzel, S. A. Ackerman, and, P. A. Hubanks, (2013), Spatial and temporal distribution of clouds observed by MODIS onboard the Terra and Aqua satellites, IEEE Trans. Geosci. Remote Sens., 51, 3826-3852.
14. Kuo, H. L., (1974), Further studies of the parameterization of the influence of cumulus convection on the large-scale flow, J. Atmos. Sci., 31, 1232-1240, doi: 10.1175/1520-0469(1974)031<1232:FSOTPO>2.0.CO;2.
15. Lawrence, D. M., and, P. J. Webster, (2002), The boreal summer intraseasonal oscillation: Relationship between northward and eastward movement of convection, J. Atmos. Sci., 59, 1593-1606.
16. Menzel, W. P., F. Richard, H. Zhang, D. P. Wylie, C. Moeller, R. E. Holz, B. Maddux, K. I. Strabala, and, L. E. Gumley, (2008), MODIS global cloud-top pressure and amount estimation: Algorithm description and results, J. Appl. Meteorol. Climatol., 47, 1175-1198, doi: 10.1175/2007JAMC1705.1.
17. Peixoto, J. P., and, A. H. Oort, (1992), Physics of Climate, 520 pp., Am. Inst. of Phys., New York.
18. Pincus, R., S. Platnick, S. A. Ackerman, R. S. Hemler, and, R. J. P. Hofmann, (2012), Reconciling simulated and observed views of clouds: MODIS, ISCCP, and the limits of instrument simulators, J. Clim., doi: 10.1175/JCLI-D-11-00267.1.
19. Rienecker, M. M., et al., (2011), MERRA: NASA's modern-era retrospective analysis for research and applications, J. Clim., 24, 3624-3648, doi: 10.1175/JCLI-D-11-00015.1.
20. Rossow, W. B., and, R. A. Schiffer, (1991), ISCCP cloud data products, Bull. Am. Meteorol. Soc., 72, 2-20.
21. Saji, N. H., B. N. Goswami, P. N. Vinayachandran, and, T. Yamagata, (1999), A dipole mode in the tropical Indian Ocean, Nature, 401, 360-363.
22. Sikka, D. R., and, S. Gadgil, (1980), On the maximum cloud zone and the ITCZ over Indian longitudes during the southwest monsoon, Mon. Weather Rev., 108, 1840-1853, doi: 10.1175/1520-0493(1980)108<1840:OTMCZA>2.0.CO;2.
23. Waliser, D. E., et al., (2003), AGCM simulations of intraseasonal variability associated with the Asian summer monsoon, Clim. Dyn., 21, 423-446.
24. Wang, B., and, X. Xie, (1997), A model for the boreal summer intraseasonal oscillation, J. Atmos. Sci., 54, 72-86.
25. Wang, W., and, M. E. Schlesinger, (1999), The dependence on convection parameterization of the Tropical Intraseasonal Oscillation simulated by the UIUC 11-layer atmospheric GCM, J. Clim., 12, 1423-1457.
26. Wang, Z., and, K. Sassen, (2001), Cloud type and macrophysical property retrieval using multiple remote sensors, J. Appl. Meteorol., 40, 1665-1682.
27. Wang, Z., D. Vane, G. Stephens, and, D. Reinke, (2013), Level 2 combined radar and lidar cloud scenario classification product process description and interface control document, version 1.0. [Available at http://www.cloudsat.cira.colostate.edu/sites/default/files/products/files/2B-CLDCLASS-LIDAR-PDICD.P-R04.20120522.pdf.]
28. Wong, S., E. J. Fetzer, B. Tian, B. Lambrigtsen, and, H. Ye, (2011a), The apparent water vapor sinks and heat sources associated with the intraseasonal oscillation of the Indian summer monsoon, J. Clim., 24, 4466-4479.
29. Wong, S., E. J. Fetzer, B. H. Kahn, B. Tian, B. H. Lambrigtsen, and, H. C. Ye, (2011b), Closing the global water vapor budget with AIRS water vapor, MERRA reanalysis, TRMM and GPCP precipitation, and gsstf surface evaporation, J. Clim., 24 (24), 6307-6321, doi: 10.1175/2011jcli4154.1.
30. Yang, B., X. Fu, and, B. Wang, (2008), Atmosphere-ocean conditions jointly guide convection of the boreal summer intraseasonal oscillation: Satellite observations, J. Geophys. Res., 113, D11105, doi: 10.1029/2007JD009276.
31. Yuan, T., and, L. Oreopoulos, (2013), On the global character of overlap between low and high clouds, Geophys. Res. Lett., 40, 5320-5326, doi: 10.1002/grl.50871.