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Reference Crop Evapotranspiration Estimate Using High-resolution Meteorological Network's Data : Volume 3, Issue 1 (12/10/2009)

By Lussana, C.

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Book Id: WPLBN0003980252
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Reference Crop Evapotranspiration Estimate Using High-resolution Meteorological Network's Data : Volume 3, Issue 1 (12/10/2009)  
Author: Lussana, C.
Volume: Vol. 3, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Uboldi, F., & Lussana, C. (2009). Reference Crop Evapotranspiration Estimate Using High-resolution Meteorological Network's Data : Volume 3, Issue 1 (12/10/2009). Retrieved from

Description: ARPA Lombardia, Milano, Italy. Water management authorities need detailed information about each component of the hydrological balance. This document presents a method to estimate the evapotranspiration rate, initialized in order to obtain the reference crop evapotranspiration rate (ET0). By using an Optimal Interpolation (OI) scheme, the hourly observations of several meteorological variables, measured by a high-resolution local meteorological network, are interpolated over a regular grid. The analysed meteorological fields, containing detailed meteorological information, enter a model for turbulent heat fluxes estimation based on Monin-Obukhov surface layer similarity theory. The obtained ET0 fields are then post-processed and disseminated to the users.

Reference crop evapotranspiration estimate using high-resolution meteorological network's data

Allen, R G., Pereira, L S., Raes, D., and Smith, M.: Crop evapotranspiration – Guidelines for computing crop water requirements – FAO Irrigation and drainage paper 56, FAO – Food and Agriculture Organization of the United Nations, 1998.; Beljaars, A. and Holtslag, A.: Flux parameterization over land surfaces for atmospheric models, J. Appl. Meteorol., 30, 327–341, 1991.; deRooy, W C. and Holtslag, A.: Estimation of Surface Radiation and Energy Flux Densities from Single-Level Weather Data, J. Appl. Meteorol., 38, 526–540, 1999.; Allen, R G., Pruitt, W O., Wright, J L., Howell, T A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., Yrisarry, J B., Smith, M., Pereira, L S., Raes, D., Perrier, A., Alves, I., Walter, I., and Elliott, R.: A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method, Agricultural Water Management, 81, 1–22, 2006.; Gandin, L S.: Objective Analysis of Meteorological Fields, Gidromet, Leningrad. English translation by Israeli Program for Scientific Translations, Jerusalem, 1963.; Garratt, J.: The atmospheric boundary layer, Cambridge University Press, 1994.; Lussana, C., Salvati, M. R., Pellegrini, U., and Uboldi, F.: Efficient high-resolution 3-D interpolation of meteorological variables for operational use, Adv. Sci. Res., 3, 105–112, 2009.; Monteith, J.: Evaporation and surface temperature, Q. J. Roy. Meteorol. Soc., 107, 1–27, 1981.; Offerle, B., Grimmond, C., and Oke, T.: Parameterization of Net All-Wave Radiation for Urban Areas, J. Appl. Meteorol., 42, 1157–1173, 2003.; Uboldi, F., Lussana, C., and Salvati, M.: Three-dimensional spatial interpolation of surface meteorological observations from high-resolution local networks, Meteorol. Appl., 15, 331–345, 2008.; Zdunkowski, W. and Bott, A.: Dynamics of the atmosphere: a course in theoretical meteorology, Cambridge University Press, 2003.


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