Estimating reference evapotranspiration (ETo) using numerical weather forecast data in central Chile

Journal of Hydrology

Volumn 382, Issue 1-4, 2010, Pages 64-71

  Silva, Daniel ^a   Meza, Francisco J ^a   Varas, Eduardo ^a  

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

Author keywords

Maipo river basin; MM5 data; MOS corrections; Reference evapotranspiration

Indexed keywords

CENTRAL CHILE; CLASS-A PAN; IRRIGATION SYSTEMS; METEOROLOGICAL VARIABLES; MM5 MODELS; MONITORING SITES; NUMERICAL WEATHER FORECASTS; PENMAN-MONTEITH; PENMAN-MONTEITH EQUATIONS; PENMAN-MONTEITH FORMULA; POTENTIAL EVAPOTRANSPIRATION; REFERENCE EVAPOTRANSPIRATION; RIVER BASINS; SEMIEMPIRICAL EQUATION; SPATIAL VARIABILITY; SURFACE DATA; SURFACE METEOROLOGICAL DATA; SURFACE WEATHER OBSERVATIONS; VAPOR FLUXES; VAPOR PRESSURE DEFICIT; VEGETATION TYPE; WATER DEMAND; WEATHER CONDITIONS; WEATHER DATA; WEATHER STATIONS;

EVAPORATION; EVAPOTRANSPIRATION; GROUNDWATER; METEOROLOGY; MONITORING; RIVERS; SOIL MOISTURE; VAPORS; VEGETATION; WATER SUPPLY; WATERSHEDS;

WEATHER FORECASTING;

CORRECTION; ENERGY BALANCE; EVAPOTRANSPIRATION; IRRIGATION SYSTEM; LATENT HEAT FLUX; RIVER BASIN; SOIL MOISTURE; VAPOR PRESSURE; VEGETATION TYPE; WATER DEMAND; WEATHER FORECASTING;

CHILE; MAIPO BASIN;

EID: 75149175574     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2009.12.018     Document Type: Article

References (35)

1. Allen R.G., Smith M., Perrier A., and Pereira L.S. An update for the definition of reference evapotranspiration. ICID Bulletin 43 (1994) 1-92
2. Allen R., Pereira L., Raes D., and Smith M. Crop evapotranspiration: guidelines for computing crop water requirements. FAO 56 (1998)
3. Allen R.G., Tasumi M., Morse A., Trezza R., Wright J.L., Bastiaanssen W., Kramber W., Lorite I., and Robison C.W. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-applications. Journal of Irrigation and Drainage Engineering 133 4 (2007) 395-406
4. Anthes R., and Warner T. Development of hydrodynamic models suitable for air pollution and other mesometerological studies. Monthly Weather Review 106 8 (1978) 1045-1078
5. Antolik M.S. An overview of the National Weather Service's centralized statistical quantitative precipitation forecasts. Journal of Hydrology 239 (2000) 306-337
6. Bastiaanssen W., Menenti M., Feddes R., and Holtslag A. A remote sensing surface energy algorithm for land (SEBAL). Formulation. Journal of Hydrology (1998) 198-212
7. Bastiaanssen W.G.M., Noordman E.J., Pelgrum H., Davids G., Thoreson B.P., and Allen R.G. SEBAL model with remotely sensed data to improve water resources management under actual field conditions. Journal of Irrigation and Drainage Engineering 131 1 (2005) 85-93
8. Bates, B.C., Kundzewicz, Z.W., Wu, S., Palutikof, J.P., 2008. Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva, 210 pp.
9. Chen F., and Dudhia J. Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: model implementation and sensitivity. Monthly Weather Review 129 (2001) 569-585
10. Clark M.P., and Hay L.E. Use of medium-range numerical weather prediction model output to produce forecasts of streamflow. Journal of Hydrometeorology 5 (2004) 15-32
11. DGA, 2007. Bases para la formulación de un plan director para la gestión de los recursos hídricos cuenca del río Maipo, Etapa I diagnóstico/Ministerio de Obras Públicas, Dirección General de Aguas, Departamento de Estudios y Planificación, CONIC BF Ingenieros Civiles Consultores. DGA, Santiago, Chile (3v, 1 CD).
12. Dudhia, J., Gill, D., Manning, K., Wang, W., Bruyere, C., 2005. PSU/NCAR Mesoscale Modeling System Tutorial Class Notes and User's Guide: MM5 Modeling System Version 3. .
13. Falvey, M., 2007. Desarrollo de Sistema de Pronostico de Temperatura Utilizando el Modelo MM5. Informe Final preparado para el Departamento de Geofísica Facultad de Ciencias Físicas y Matemáticas Universidad de Chile.
14. Glahn H.R., and Lowry D.A. The use of model output statistics (MOS) in objective weather forecasting. Journal of Applied Meteorology 11 (1972) 203-211
15. Hart K.A., Steenburgh W.J., Onton D.J., and Siffert A.J. An evaluation of mesoscale-model-based model output statistics (MOS) during the 2002 Olympic and paralympic winter games. Weather and Forecasting 19 (2004) 200-218
16. Jacovides C.P., and Kontoyiannis H. Statistical procedures for the evaluation of evapotranspiration computing models. Agricultural and Water Management 27 (1995) 365-371
17. Jara J., Stöckle C., and Kjelgaard J. Measurement of evapotranspiration and its components in a corn (Zea mays L.) field. Agricultural and Forest Meteorology 92 2 (1998) 131-145
18. Jarvis P.G. The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field. Philosophical Transactions of the Royal Society of London, Series B 273 (1976) 593-610
19. Jensen M.E., Burman R.D., and Allen R.G. Evapotranspiration and irrigation water requirements (1990), American Society of Civil Engineers, New York 332 pp
20. López-Urrea R., de Santa Olalla M., Fabeiro C., and Moratalla A. Testing evapotranspiration equations using lysimeter observations in a semiarid climate. Agricultural Water Management 85 1-2 (2006) 15-26
21. Mahrt L., and Ek M. The influence of atmospheric stability on potential evaporation. Journal of Climate and Applied Meteorology 23 (1984) 222-234
22. Marx A., Kunstmann H., Schüttemeyer D., and Moene A.F. Uncertainty analysis for satellite derived sensible heat fluxes and scintillometer measurements over Savannah environment and comparison to mesoscale meteorological simulation results. Agricultural and Forest Meteorology 148 4 (2008) 656-667
23. Meza F.J. Variability of reference evapotranspiration and water demands. Association to ENSO in the Maipo river basin, Chile. Global and Planetary Change 47 2-4 (2005) 212-220
24. Monteith J.L. Evaporation and environment. 19th Symposia of the Society for Experimental Biology vol. 19 (1965), University Press, Cambridge 205-234
25. Monteith J.L., and Unsworth M.H. Principles of Environmental Physics. second ed. (1990), Edward-Arnold
26. Neilley P.P., Myers W., and Young G. Ensemble dynamic MOS. 16th Conference on Probability and Statistics in the Atmospheric Sciences (2002), American Meteorological Society, Orlando, Florida 102-106 (Preprints)
27. Oncley S., and Dudhia J. Evaluation of surface fluxes from MM5 using observations. Monthly Weather Review 123 (1995) 3344-3357
28. Rana G., Katerji N., and de Lorenzi F. Measurement and modelling of evapotranspiration of irrigated citrus orchard under Mediterranean conditions. Agricultural and Forest Meteorology 128 3-4 (2005) 199-209
29. Rosegrant M.W., Ringler C., McKinney D.C., Cai X., and Donoso G. Integrated economic-hydrologic water modeling at the basin scale: the Maipo river basin. Agricultural Economics 24 (2000) 33-46
30. Silva D., Meza F.J., and Varas E. Use of mesoscale model MM5 forecasts as proxies for surface meteorological and agroclimatic variables. Ciencia E Investigacion Agraria 36 3 (2009) 369-380
31. Sokol Z., and Rezacova D. Improvement of local categorical precipitation forecasts from NWP model by various statistical postprocessing methods. Studia Geophysica et Geodesia 44 (2000) 38-56
32. Stewart J.B. Modelling surface conductance of pine forest. Agricultural and Forest Meteorology 43 (1988) 19-35
33. Vicuña S., and Dracup J.A. The evolution of climate change impact studies on hydrology and water resources in California. Climatic Change 82 3-4 (2007) 327-350
34. Ward A., and Trimble S. Environmental Hydrology (2004), Lewis Publishers, USA 465 pp
35. Wilks D.S. Statistical Methods in the Atmospheric Sciences (1995), Academic Press, NY 467 pp