Land surface impacts on subseasonal and seasonal predictability

Geophysical Research Letters

Volumn 38, Issue 24, 2011, Pages

  Guo, Zhichang ^a   Dirmeyer, Paul A ^a   Delsole, Tim ^a,b  

^a CENTER FOR OCEAN LAND ATMOSPHERE STUDIES   (United States)

^b GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC STRUCTURE; SOIL MOISTURE; WATER SUPPLY;

ATMOSPHERIC PREDICTABILITY; BOREAL SPRING; COUPLING STRENGTHS; LAND SURFACE; LEADTIME; SPATIAL STRUCTURE;

SURFACE MEASUREMENT;

EVAPOTRANSPIRATION; LAND SURFACE; PRECIPITATION (CLIMATOLOGY); PREDICTION; PROXY CLIMATE RECORD; SEASONAL VARIATION; SOIL MOISTURE; TEMPERATURE EFFECT;

EID: 84855362987     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011GL049945     Document Type: Article

References (15)

1. Cover, T. M., and J. A. Thomas (1991), Elements of Information Theory, 576 pp., John Wiley, New York, doi:10.1002/0471200611.
2. Dirmeyer, P. A. (2000), Using a global soil wetness dataset to improve seasonal climate simulation, J. Clim., 13, 2900-2922, doi:10.1175/1520- 0442(2000)0132.0.CO;2.
3. Douville, H. (2004), Relevance of soil moisture for seasonal atmospheric predictions: Is it an initial value problem?, Clim. Dyn., 22, 429-446, doi:10.1007/s00382-003-0386-5. (Pubitemid 38562553)
4. Entin, J. K., A. Robock, K. Y. Vinnikov, S. E. Hollinger, S. Liu, and A. Namkhai (2000), Temporal and spatial scales of observed soil moisture variations in the extratropics, J. Geophys. Res., 105, 11,865-11,877, doi:10.1029/ 2000JD900051.
5. Guo, Z.-C., et al. (2006), GLACE: The Global Land Atmosphere Coupling Experiment. Part II: Analysis, J. Hydrometeorol., 7, 611-625, doi:10.1175/JHM511.1. (Pubitemid 44430733)
6. Kleeman, R. (2007), Information flow in ensemble weather predictions, J. Atmos. Sci., 64, 1005-1016, doi:10.1175/JAS3857.1. (Pubitemid 46554491)
7. Koster, R. D., et al. (2004), Regions of strong coupling between soil moisture and precipitation, Science, 305, 1138-1140, doi:10.1126/science. 1100217. (Pubitemid 39100323)
8. Koster, R. D., Z.-C. Guo, P. A. Dirmeyer, R. Yang, K. Mitchell, and M. J. Puma (2009), On the nature of soil moisture in land surface models, J. Clim., 22, 4322-4335, doi:10.1175/2009JCLI2832.1.
9. Koster, R. D., et al. (2010), Contribution of land surface initialization to subseasonal forecast skill: First results from a multi-model experiment, Geophys. Res. Lett., 37, L02402, doi:10.1029/2009GL041677.
10. Koster, R. D., et al. (2011), The second phase of the Global Land-Atmosphere Coupling Experiment: Soil moisture contributions to sub-seasonal forecast skill, J. Hydrometeorol., 12, 805-822, doi:10.1175/2011JHM1365.1.
11. Lorenz, E. N. (1982), Atmospheric predictability experiments with a large numerical model, Tellus, 34, 505-513, doi:10.1111/j.2153-3490.1982. tb01839.x.
12. Misra, V., et al. (2007), Validating and understanding ENSO simulation in two coupled climate models, Tellus, Ser. A, 59, 292-308, doi:10.1111/j.1600- 0870.2007.00231.x. (Pubitemid 46605426)
13. Reynolds, R., et al. (2002), An improved in situ and satellite SST analysis for climate, J. Clim., 15, 1609-1625, doi:10.1175/1520-0442(2002) 0152.0.CO;2.
14. Sheffield, J., G. Goteti, and E. F. Wood (2006), Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling, J. Clim., 19, 3088-3111, doi:10.1175/JCLI3790.1. (Pubitemid 44182707)
15. Xue, Y., et al. (2010), Global and seasonal assessment of interactions between climate and vegetation biophysical processes: A GCM study with different land-vegetation representations, J. Clim., 23, 1411-1433, doi:10.1175/ 2009JCLI3054.1.