SEARCH

SEARCH BY CITATION

References

  • Amenu, G. G., P. Kumar, and X.-Z. Liang (2005), Interannual variability of deep-layer hydrologic memory and mechanisms of its influence on surface energy fluxes, J. Climate, 18, 50245045.
  • Asharaf, S., A. Dobler, and B. Ahrens (2012), Soil moisture-precipitation feedback processes in the Indian summer monsoon season, J. Hydrometeorol., 13, 14611474.
  • Barros, A. P., G. Kim, E. Williams, and S. W. Nesbitt (2004), Proving orographic controls in the Himalayas during the monsoon using satellite imagery, NHESS, 4, 123.
  • Bloomfield, P. (2000), Fourier Analysis of Time Series: An Introduction 2nd ed., John Wiley & Sons, New York.
  • Chang, H.-I., D. Niyogi, A. Kumar, C. M. Kishtawal, J. Dudhia, F. Chen, U. C. Mohanty, and M. Shepherd (2009), Possible relation between land surface feedback and the post-landfall structure of monsoon depressions, Geophys. Res. Lett., 36, L15826, doi:10.1029/2009GL037781.
  • Chiao, S., and A. P. Barros (2007), A numerical study of the hydrometeorolgical dryline in Northwest India during the monsoon, J. Meteorol. Soc. Japan, 85A, 337361.
  • Delworth, T. L., and S. Manabe (1988), The influence of potential evaporation on the variabilities of simulated soil wetness and climate, J. Climate, 1, 523547.
  • Dickinson, R. (1984), Modeling evapotranspiration for the three-dimensional global climate models, in Climate Processes and Climate Sensitivity, Geophys. Monogr., 29, 5872.
  • Dirmeyer, P. A., C. A. Schlosser, and K. L. Brubaker (2009), Precipitation, recycling, and land memory: An integrated analysis, J. Hydrometeorol., 10, 278288.
  • Dobler, A., and B. Ahrens (2008), Precipitation by a regional climate model and bias correction in Europe and South Asia, Meteorol. Z., 17, 499509.
  • Dobler, A., and B. Ahrens (2010), Analysis of the India summer monsoon system in the regional climate model COSMO-CLM, J. Geophys. Res., 115, D16101, doi:10.1029/2009JD013497.
  • Douville, H., F. Chauvin, and H. Broqua (2001), Influence of soil moisture on the Asian African monsoons. Part I: Mean monsoon and daily precipitation, J. Climate, 14, 23812403.
  • Findell, K. L., P. Gentine, B. R. Linter, and C. Kerr (2011), Probability of afternoon precipitation in eastern United States and Mexico enhanced by high evaporation, Nat. Geosci., 4, 434439.
  • Granger, C. W. J. (1969), Investigating causal relations by econometric models and cross-spectral methods, Econometrica, 37(3), 424438.
  • Hirschi, M., S. I. Seneviratne, V. Alexandrov, F. Boberg, C. Boroneant, O. B. Christensen, H. Formayer, B. Orlowsky, and P. Stepanek (2011), Observational evidences for soil-moisture impact on hot extremes in southern Europe, Nat. Geosci., 4, 1721.
  • Kessler, E. (1969), On the Distribution and Continuity of Water Substance in the Atmospheric Circulations, vol. 10, pp. 84., Amer. Met. Soc., Boston.
  • Koster, R. D., M. J. Suarez, and M. Heiser (2000), Variance and predictability of precipitation at seasonal-to-interannual timescales, J. Hydrometeorol., 1, 2646.
  • Koster, R. D., et al. (2004), Regions of strong coupling between soil moisture and precipitation, Science, 305, 11381140.
  • Lucas-Picher, P., J. Christensen, F. Saeed, P. Kumar, S. Asharaf, B. Ahrens, A. Wiltshire, D. Jacob, and S. Hagemann (2011), Can regional climate models represent the Indian monsoon?, J. Hydrometeorol., 12, 849868.
  • Medina, S., R. A. Houze, A. Kumar, and D. Niyogi (2010), Summer monsoon convection in the Himalayan region: Terrain and land cover effects, Q. J. R. Meteorol. Soc., 136, 593616.
  • Orlowsky, B., and S. I. Seneviratne (2010), Statistical analysis of land-atmosphere feedbacks and their possible pitfall, J. Climate, 23, 39183932.
  • Pielke, R. A. (1991), A recommended specific definition of “Resolution”, Bull. Am. Meteorol. Soc., 72(12), 1914.
  • Raman, S., U. C. Mohanty, N. C. Reddy, K. Alpaty, and R. V. Madala (1998), Numerical simulation of the sensitivity of summer monsoon circulation and rainfall over India to land-surface processes, Pure Appl. Geophys., 152, 781809.
  • Roeckner, E., M. Lautenschlager, and E. Monika (2006a), IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 PIcntrl(pre-industrial control experiment): atmosphere 6 HOUR values MPImet/MaD Germany, World Data Cent. for Clim., Hamburg, Germany, doi:10.1594/WDCC/EH5-T63L31_OM-GR1.5L40_CTL_6H.
  • Roeckner, E., M. Lautenschlager, and H. Schneider (2006b), IPCC-AR4 MPI-ECHAM5_T63L31 MPI-OM_GR1.5L40 20C3M run no. 1: atmosphere 6 HOUR values MPImet/MaD Germany. World Data Cent. for Clim., Hamburg, Germany, doi:10.1594/WDCC/EH5-T63L31_OMGR1.5L40_20C_1_6H.
  • Schrodin, E., and E. Heise (2002), A new multi-layer soil model, Tech. Rep. 2, COSMO Newsletter.
  • Seneviratne, S., D. Luthi, M. Litschi, and C. Schar (2006a), Land–atmosphere coupling and climate change in Europe, Nature, 443, 205209.
  • Seneviratne, S. I., et al. (2006b), Soil moisture memory in AGCM simulations: Analysis of Global Land-Atmosphere Coupling Experiment (GLACE) data, J. Hydrometeorol., 7, 10901112.
  • Shukla, J., and Y. Mintz (1982), Influence of land-surface evapotranspiration on the Earth's climate, Science, 215(4539), 14981501.
  • Steppeler, J., G. Dom, U. Schattler, H. W. Bitzer, A. Gassmann, U. Damrath, and G. Gregoric (2003), Meso-gamma scale forecasts using the non-hydrostatic model LM, Meteorol. Atmos. Phys., 82, 7596.
  • Tiedtke, M. (1989), A comprehensive mass flux scheme for cumulus parameterization in large-scale models, Mon. Weather Rev., 117, 17791800.
  • Wei, H., and C. Fu (1998), Study of the sensitivity of a regional model in response to land cover change over northern China, Hydrol. Process., 12, 22492265.
  • Wu, W., M. A. Geller, and R. E. Dickinson (2002a), A case study for land model evaluation: Simulation of soil moisture amplitude damping and phase shift, J. Geophys. Res., 107 (D24), 4793, doi:10.1029/2001JD001405.
  • Wu, W., M. A. Geller, and R. E. Dickinson (2002b), The response of soil moisture to long-term variability of precipitation, J. Hydrometeorol., 3, 604613.
  • Yatagai, A., O. Arakawa, K. Kamiguchi, H. Kawamoto, M. I. Nodzu, and A. Hamada (2009), A 44-year daily gridded precipitation dataset for Asia based on a dense network of rain gauges, SOLA, 5, 137140, doi:10.2151/sola.2009-035.
  • Yatagai, A., K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, and A. Kitoh (2012), APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges, Bull. Am. Meteorol. Soc., 93, 14011415.