Land-atmosphere interactions in an high resolution atmospheric simulation coupled with a surface data assimilation scheme

Natural Hazards and Earth System Science

Volumn 9, Issue 5, 2009, Pages 1613-1624

  Campo, L ^a   Castelli, F ^a   Entekhabi, D ^b   Caparrini, F ^c  

^a UNIVERSITY OF FLORENCE   (Italy)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c Eumechanos   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TEMPERATURE; DATA ASSIMILATION; ENERGY BALANCE; ENERGY BUDGET; LAND SURFACE; METEOSAT; NUMERICAL MODEL; RELATIVE HUMIDITY; SURFACE TEMPERATURE; TURBULENT FLOW;

ITALY; TUSCANY;

EID: 77953761295     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-9-1613-2009     Document Type: Article

References (47)

1. Adegoke, J. O., Pielke, R. A., Eastman, J., Mahmood, R., and Hubbard, K. G.: Impact of Irrigation on Midsummer Surface Fluxes and Temperature under Dry Synoptic Conditions: A Regional Atmospheric Model Study of the U.S. High Plains, Mon. Weather Rev., 131, 556-564, 2003.
2. Baldocchi, D.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415-2434, 2001.
3. Bélair, S., Brown, R., Mailhot, J., Bilodeau, B., and Delage, Y.: Operational Implementation of the ISBA land surface scheme in the Canadian regional weather forecast model. Part I: Warm season results, J. Hydrometeorol., 4, 352-370, 2003. (Pubitemid 36751429)
4. Bélair, S., Brown, R., Mailhot, J., Bilodeau, B., and Delage, Y.: Operational Implementation of the ISBA land surface scheme in the Canadian regional weather forecast model. Part II: Cold season results, J. Hydrometeorol. 4, 371-386, 2003. (Pubitemid 36751430)
5. Beljaars, A., Balsamo, G., Betts, A., and Viterbo, P.: Atmosphere/ surface interactions in the ECMWF model at high latitudes, in: Proceedings of ECMWF Seminar on Polar meteorology, 4-8 September 2006, ECMWF, 153-168, 2007.
6. Burde, G. I. and Zangvil, A.: The estimation of regional precipitation recycling. Part I: Review of recycling models, J. Climate, 14, 2497-2508, 2001. (Pubitemid 33045302)
7. Caparrini, F.: Latent and Sensible Heat Fluxes from Remote Sensing of Land Surface, Ph.D. thesis, Università degli Studi di Padova, Università degli Studi di Firenze, Firenze, 2001.
8. Caparrini, F., Castelli, F., and Entekhabi, D.: Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery, Water Resour. Res., 40, W12515, doi:10.1029/ 2004WR003358, 2004.
9. Cotton, W. R., Pielke Sr., R. A., Walko, R. L., Liston, G. E., Tremback, C. J., Jiang, H., McAnelly, R. L., Harrington, J. Y., Nicholls, M. E., Carrio, G. G., and McFadden, J. P.: RAMS 2001: Current status and future directions, Meteorol. Atmos. Phys., 82(1-4), 5-29, 2003.
10. Crago, R. and Brutsaert, W.: Daytime evaporation and the self preservation of the evaporative fraction and the Bowen ratio, J. Hydrol., 178, 241-255, 1996.
11. Dickinson, R. E.: The force-restore model for surface temperatures and its generalizations, J. Climate, 1, 1086-1097, 1988.
12. Dudhia, J. and Chen, F.: Using a Mesoscale Model Coupled to a Land-Surface Model to Simulate Surface Fluxes at High Resolution, Proceedings of Ninth ARM Science Team Meeting, San Antonio, Texas, 22-26 March 1999.
13. Eagleson, P. S.: Ecohydrology: Darwinian Expression of Vegetation Form and Function, Massachusetts Institute of Technology, Cambridge University Press, New York, Cambridge, MA 02139, USA, 443 pp., 2002.
14. Eltahir, E. A. B. and Bras, R. L.: Precipitation recycling in the Amazon basin, Q. J. Roy. Meteor. Soc., 120, 861-880, 1994.
15. Eltahir, E. A. B. and Pal, J. S.: Relationship between surface conditions and subsequent rainfall in convective storms, J. Geophys. Res., 101(D21), 26237-26245, 1996.
16. Entekhabi, D. and Eagleason, P. S.: Land Surface Hydrology Parameterization for Atmospheric General Circulation models Including Subgrid Scale Spatial Variability, J. Climate, 2(8), 816-831, 1989.
17. Entekhabi, D.: Recent advances in land-atmosphere interaction research, Rev. Geophys., 33(S1), 995-1004, 1995.
18. Entekhabi, D., Rodriguez-Iturbe, I. and Castelli, F.: Mutual interaction of soil moisture state and atmospheric processes, J. Hydrol., 184, 3-17, 1996.
19. Fabry, F.: The Spatial Variability of Moisture in the Boundary Layer and Its Effect on Convection Initiation: Project-Long Characterization, Mon. Weather Rev., 134, 79-91, 2006.
20. Garratt, J. R.: The Atmospheric Boundary Layer, Cambridge University Press, Cambridge UK, 1992.
21. Giard, D. and Bazile, E.: Implementation of a new assimilation scheme for soil and surface variables in a global NWP model, Mon. Weather Rev., 128, 997-1015, 2000.
22. Gualtieri, G. and Calastrini, F.: A 3-D meteorological archive based on the RAMS model daily forecasting, Proceedings from "ECAM 2003", Ufficio Generale di Meteorologia dell'Aeronautica Militare, Rome, 15-19 Settembre 2003.
23. Haggag, M., Yamashita, T., Lee, H., and Kim, K.: A coupled atmosphere and multi-layer land surface model for improving heavy rainfall simulation, Hydrol. Earth Syst. Sci. Discuss., 5, 1067-1100, 2008, http://www.hydrol-earth-syst- sci-discuss.net/5/1067/2008/.
24. Harris, P. P. and Taylor, C. M.: Assimilation of MSG land-surface temperature into land-surface model simulations to constrain estimates of surface energy budget in West Africa, Second International AMMA Conference, Karlsruhe, 26-30 November 2007.
25. Jones, A., Guch, I., and Vonder Haar, T.: Data assimilation of satellite-derived heating rates as proxy surface wetness data into a regional atmospheric mesoscale model. Part I: Methodology, Mon. Weather Rev., 126, 634-645, 1998. (Pubitemid 128581557)
26. Jones, A., Guch, I., and Vonder Haar, T.: Data assimilation of satellite-derived heating rates as proxy surface wetness data into a regional atmospheric mesoscale model. Part II: A case study, Mon. Weather Rev., 126, 646-667, 1998. (Pubitemid 128581558)
27. Juang, J.-Y., Katul, G. G., Porporato, A., Stoy, P. C., Siqueira, M. S., Detto, M., Kim, H. S., and Oren, R.: Eco-hydrological controls on summertime convective rainfall triggers, Global Change Biol., 13, 887-896, 2007.
28. Koster, R. D. and Suarez, M. J.: Climate variability studies with a coupled land/atmosphere model, Proceedings of the Yokohama Symposium, IAHS Publ., 214 pp., July 1993.
29. Kustas, W. P., Humes, K. S., Norman, J. M., and Moran, S. M.: Single- and dual-source modeling of surface energy fluxes with radiometric surface temperature, J. Appl. Meteorol., 35, 110-121, 1996.
30. Land SAF Project Team: Product User Manual LAND SURFACE TEMPERATURE, http://landsaf.meteo.pt, 2006.
31. Lin, J. D.: On the force-restore methods for prediction of ground surface temperature, J. Appl. Meteorol., 31, 480-484, 1980.
32. Louis, J. F.: A parametric model of vertical eddy fluxes in the atmosphere, Bound.-Lay. Meteorol., 17, 187-202, 1979.
33. Lu, L., Pielke, R. A., Liston, G. E., Parton, W. J., Ojima, D., and Hartman, M.: Implementation of a Two-Way Interactive Atmospheric and Ecological Model and Its Application to the Central United States, J. Climate, 14, 900-919, 2001.
34. Mahfouf, J.-F., Viterbo, P., Douville, H., Beljaars, A. C. M., and Saarinen, S.: A revised land-surface analysis scheme in the Integrated Forecasting System, ECMWF Newsletter, 88, 8-13, 2000.
35. McNider, R., Song, A., Casey, D., Wetzel, P., Crosson, W., and Carlson, T.: Towards a dynamic-thermodynamic assimilation of satellite surface temperature in numerical atmospheric models, Mon. Weather Rev., 122, 2784-2803, 1994.
36. Meneguzzo, F., Menduni, G., Maracchi, G., Zipoli, G., Gozzini, B., Grifoni, D., Messeri, G., Pasqui, M., Rossi, M., and Tremback, C. J.: Explicit forecasting of precipitation: sensitivity of model RAMS to surface features, microphysics, convection, resolution, Mediterranean Storms, 3rd Plinius Conference 2001, edited by: Deidda, R., Mugnai, A., and Siccardi, F., GNDCI Publ. N. 2560, ISBN 88-8080-031-0, 79-84, 2002.
37. Meng, C. L., Li, Z.-L., Zhan, X., Shi, J. C., and Liu, C. Y.: Land surface temperature data assimilation and its impact on evapotranspiration estimates from the Common Land Model, Water Resour. Res., 45, W02421, doi:10.1029/2008WR006971, 2009.
38. Pasqui, M., Tremback, C. J., Meneguzzo, F., Giuliani, G., and Gozzini, B.: A soil moisture initialization method, based on antecedent precipitation approach, for regional atmospheric modeling system: a sensitivity study on precipitation and temperature, in: Proceedings of the 18th Conference on Hydrology, AMS, Seattle, 2004.
39. Schulz, J.-P., Dümenil, L., Polcher, J., Schlosser, C. A., and Xue, Y.: Land surface energy and moisture fluxes: Comparing three models, J. Appl. Meteorol., 37(3), 288-307, 1998.
40. Seth, A. and Giorgi F.: The effects of domain choice on summer precipitation: Simulation and sensitivity in a Regional Climate Model, J. Climate, 11(10), 2698-2712, 1998.
41. Stull, R. N.: An introduction to Boundary Layer Meteorology, Kluwer Academic Publisher, Dordrecht, The Netherlands, 1988.
42. Sugita, M. and Brutsaert, W.: Daily evaporation over a region from lower boundary layer profiles measured with radiosondes, Water Resour. Res., 27, 747-752, 1991.
43. Tremback, C. J.: Numerical simulation of a mesoscale convective complex, model development and numerical results. Ph.D. thesis, Colorado State University Dept. of Atmospheric Science, Fort Collins, CO 80523, Atmos. Sci. Paper No. 465, 1990.
44. Van den Hurk, B. J. J. M. and The, H.: Assimilation of satellite derived surface heating rates in a numerical weather prediction model, KNMI Scientific Rep., WR-2002-2004, 19 pp., 2002.
45. Vidale, P. L. and Stöckli, R.: Prognostic canopy air space solutions for land surface exchanges, Theor. Appl. Climatol., 80(2-4), 245-257, 2005.
46. Walko, R. L. and Tremback, C. J.: ATMET Technical Note 1, Modifications for the Transition from LEAF-2 to LEAF-3, ATMET, LLC, Boulder, Colorado 80308-82195, http://www.atmet.com/html/docs/rams/, 2005.
47. Wetzel, P. J., Atlas, D., and Woodward, R. H.: Determining soil moisture from geosynchronous satellite infrared data: a feasibility study, J. Appl. Meteorol., 23, 375-391,1984.