Metrics to describe the dynamical evolution of atmospheric moisture: Intercomparison of model (NARR) and observations (ISCCP)

Journal of Geophysical Research Atmospheres

Volumn 113, Issue 14, 2008, Pages

  Tao, Kun ^a   Barros, Ana P ^a  

^a USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATOLOGY; DIFFERENTIAL EQUATIONS; DROUGHT; FORESTRY; OCEAN CURRENTS; RESERVOIRS (WATER);

ATMOSPHERIC MOISTURE; CHARACTERISTIC TIME; CLOUD CLIMATOLOGY; DIAGNOSTIC DATA ANALYSIS; DYNAMICAL EVOLUTION; EXPLORATORY STUDIES; FINITE-SIZE LYAPUNOV EXPONENTS; FREE WATER SURFACES; FRESHWATER RESERVOIRS; GROWTH RATE OF INSTABILITIES; GULF OF MEXICO; INSTABILITY GROWTH; INTERCOMPARISONS; INTERPRETIVE STUDY; INTRASEASONAL VARIABILITY; LOCAL MEMORIES; LOCALIZATION LENGTH; LOOP CURRENT; NON-LINEAR DYNAMICS; NORTH AMERICAN; OUACHITA MOUNTAINS; PHYSICAL PROCESS; PROXY MEASURE; REANALYSIS; RIVER BASINS; SATELLITE DATA; SOUTHEAST UNITED STATES; SPATIAL FIELDS; SUBGRID SCALE; WARM CORE RINGS;

MOISTURE;

ATMOSPHERIC MOISTURE; CLOUD COVER; DATA INTERPRETATION; GROWTH RATE; PRECIPITATION (CLIMATOLOGY); SATELLITE DATA; SEASONAL VARIATION;

ATLANTIC OCEAN; GULF OF MEXICO;

EID: 71949085510     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2007JD009337     Document Type: Article

References (25)

1. Ahlers, V., R. Zillmer, and A. Pikovsky (2001), Lyapunov exponents in disordered chaotic systems: Avoided crossing and level statistics, Phys. Rev. E, 63, 036213.
2. Aurell, E., G. Boffetta, A. Crisanti, G. Paladin, and A. Vulpiani (1997), Predictability in the large: An extension of the concept of Lyapunov exponent, J. Phys. A Math Nucl. Gen., 30, 1-26, doi:10.1088/0305-4470/30/1/003.
3. Barros, A. P., and W. Hwu (2002), A study of land-atmosphere interactions during summertime rainfall using a mesoscale model, J. Geophys. Res., 107(D4), 4227, doi:10.1029/2000JD000254.
4. Barros, A. P., and R. J. Kuligowski (1998), Orographic effects during a severe wintertime storm in the Appalachian Mountains, Mon. Weather Rev., 126, 2648-2672, doi:10.1175/1520-0493(1998)126<2648: OEDASW>2.0.CO;2. (Pubitemid 128581548)
5. Barros, A. P., G. Kim, E. Williams, and S. W. Nesbitt (2004), Probing orographic controls in the Himalayas during the monsoon using satellite imagery, Nat. Hazards Earth Syst. Sci., 4, 1-23.
6. Boffetta, G., A. Crisanti, F. Paparella, A. Provenzale, and A. Vulpiani (1998), Slow and fast dynamics in coupled systems: A time series analysis view, Physica D, 116, 301-312, doi:10.1016/S0167-2789(97)00300-X. (Pubitemid 128676581)
7. Boffetta, G., M. Cencini, M. Falcioni, and A. Vulpiani (2002), Predictability: A way to characterize complexity, Phys. Rep., 356, 367-474, doi:10.1016/S0370-1573(01)00025-4.
8. Chang, J. T., and P. J. Wetzel (1991), Effects of spatial variations of soil moisture and vegetation on the evolution of a pre-storm environment: A case study, Mon. Weather Rev., 119, 1368-1390, doi:10.1175/1520-0493 (1991)119<1368:EOSVOS>2.0.CO;2.
9. Dickinson, R. E. (1995a), Land processes in climate models, Remote Sens. Environ., 51, 27-38.
10. Dickinson, E. (1995b), Land atmosphere interaction, U.S. Natl. Rep. Int. Union Geod. Geophys. 1991-1994, Rev. Geophys., 33, 917-922.
11. Gan, T. Y., Q. Wang, and M. Seneka (2002), Correlation dimensions of climate subsystems and their geographic variability, J. Geophys. Res., 107(D23), 4728, doi:10.1029/2001JD001268.
12. Hart, R. E., and J. L. Evans (2001), A climatology of the extratropical transition of Atlantic tropical cyclones, J. Clim., 14, 546-564, doi:10.1175/1520-0442(2001)0140546:ACOTET>2.0.CO;2. (Pubitemid 33050499)
13. Hegger, R., H. Kantz, and T. Schreiber (1999), Practical implementation of nonlinear time series methods: The TISEAN package, Chaos, 9, 413-439, doi:10.1063/1.166424.
14. Kantz, H., and T. Schreiber (1997), Nonlinear Time Series Analysis, 304 pp., Cambridge Univ. Press, New York.
15. Koster, R. D., and M. J. Suarez (2003), Impact of land surface initialization on seasonal precipitation and temperature prediction, J. Hydrometeorol., 4(2), 408-423, doi:10.1175/1525-7541(2003)4<408:IOLSIO>2. 0.CO;2.
16. Lynn, B. H., W.-K. Tao, and P. J. Wetzel (1998), A study of landscapegenerated deep moist convection, Mon. Weather Rev., 126, 928-942, doi:10.1175/1520-0493(1998)1260928:ASOLGD>2.0.CO;2. (Pubitemid 128581575)
17. Mesinger, F., et al. (2006), North American regional reanalysis, Bull. Am. Meteorol. Soc., 87, 343-360, doi:10.1175/BAMS-87-3-343.
18. Rossow, W. B., and R. A. Schiffer (1999), Advances in understanding clouds from ISCCP, Bull. Am. Meteorol. Soc., 80, 2261-2287, doi:10.1175/1520- 0477(1999)080<2261:AIUCFI>2.0.CO;2.
19. Shapiro, L. J., and S. B. Goldenberg (1993), Intraseasonal oscillations over the Atlantic, J. Clim., 6, 677-699, doi:10.1175/1520-0442(1993) 0060677:IOOTA>2.0.CO;2.
20. Sud, Y C., K. M. Lau, G. K. Walker, and J. H. Kim (1995), Understanding biosphere-precipitation relationships: Theory, model simulations and logical inferences, Mausam, 46, 1-14.
21. Tsonis, A. A., G. N. Triantafyllou, and J. B. Elsner (1994), Searching for determinism in observed data: A review of the issue involved, Nonlinear Processes Geophys., 1, 12-25.
22. Wang, J., R. L. Bras, and E. A. B. Eltahir (2000), The impact of observed deforestation on the mesoscale distribution of rainfall and clouds in Amazonia, J. Hydrometeorol., 1, 267-286, doi:10.1175/1525-7541 (2000)0010267:TIOODO>2. 0.CO;2.
23. Zawadzki, I. I. (1973), Statistical properties of precipitation patterns, J. Appl. Meteorol., 12, 459-472, doi:10.1175/1520-0450(1973) 0120459:SPOPP>2.0.CO;2.
24. Zduniak, C. A., and J. Lusakowski (1995), Autocorrelation function and mutual information from short experimental time series, Acta Phys. Pol., A, 87(1), 257-260.
25. Zeng, X., R. A. Pielke, and R. Eykholt (1992), Estimating the fractal dimension and the predictability of the atmosphere, J. Atmos. Sci., 49(8), 649-659, doi:10.1175/1520-0469(1992)0490649:ETFDAT> 2.0.CO;2.