The micrometeorological base of ISAC-CNR in Lecce, southeast of Italy, has been active since 2002, in collecting experimental data about surface-atmosphere transfer of momentum heat and water vapour. It operates in a suburban site inside the Salento University campus and has been improved along the past years in terms of active sensors to give a quite complete description of the soil-atmosphere vertical transfer. It is composed by a 16 m mast with fast response (eddy correlation) instrumentation and an ancillary automatic meteorological station collecting also soil data at 2 levels of depth. Fast response data are preprocessed in half-hour averaged satistics and stored in a web database. At present, the Lecce database is also a pilot reference structure for the Climate Change Section of the CNR-DTA GIIDA project (Integrated and Interoperative Management of Environmental Data project, Earth and Environment Department, National Research Council), aimed to build a spatial data infrastructure between different CNR-DTA structures collecting environmental data. It is also a data provider for the Hymex project database (Hydrological Mediterranean Experiment). 1. Introduction Surface-atmosphere transfer fluxes are the main input/output of atmospheric energy and water vapour, and they are at the same time effects and causes of the larger-scale atmospheric motions. Indeed the radiative energy from the solar source transforms into conductive/turbulent vertical fluxes of heat and vapour after impinging on the earth surface, and momentum fluxes are constantly exchanged due to the friction between wind and earth surface [1]. Although mainly responsible for the climatic conditions in the lower atmosphere, surface fluxes are subject to change due to local changes in land use and water moisture availability at ground level causing in turn changes in larger-scale climatic conditions driving atmospheric winds and precipitations [2]. The eddy covariance technique for direct field measurement of the surface turbulent fluxes spread out in the early 1980s, and in the following years, many studies improved its reliability, concerning density, spectral, and vertical velocities corrections for the measured fluxes [3–5]. In the decade of 1990s, this improved knowhow led to a general increased technique reliability and applicability [6, 7]. This fact, together with the increasing concerns about the climate effects of the global warming with interest in quantifying large-scale CO2 and water vapour surface exchanges, led to the creation of several international networks for
References
[1]
J. R. Garratt, The Atmospheric Boundary Layer, Cambridge University Press, Cambridge, UK, 1992.
[2]
R. A. Pielke, G. Marland, R. A. Betts et al., “The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases,” Philosophical Transactions of the Royal Society A, vol. 360, no. 1797, pp. 1705–1719, 2002.
[3]
E. K. Webb, G. I. Pearman, and R. Leuning, “Correction of flux measurements for density effects due to heat and water vapour transfer,” Quarterly Journal Royal Meteorological Society, vol. 106, no. 447, pp. 85–100, 1980.
[4]
W. J. Massman, “A simple method for estimating frequency response corrections for eddy covariance systems,” Agricultural and Forest Meteorology, vol. 104, no. 3, pp. 185–198, 2000.
[5]
X. Lee, “On micrometeorological observations of surface-air exchange over tall vegetation,” Agricultural and Forest Meteorology, vol. 91, no. 1-2, pp. 39–49, 1998.
[6]
T. Foken and B. Wichura, “Tools for quality assessment of surface-based flux measurements,” Agricultural and Forest Meteorology, vol. 78, no. 1-2, pp. 83–105, 1996.
[7]
P. L. Fuehrer and C. A. Friehe, “Flux corrections revisited,” Boundary-Layer Meteorology, vol. 102, no. 3, pp. 415–457, 2002.
[8]
C. Mangia, P. Martano, M. M. Miglietta, A. Morabito, and A. Tanzarella, “Modelling local winds over the Salento peninsula,” Meteorological Applications, vol. 11, no. 3, pp. 231–244, 2004.
[9]
P. Martano, “Estimation of surface roughness length and displacement height from single-level sonic anemometer data,” Journal of Applied Meteorology, vol. 39, no. 5, pp. 708–715, 2000.
[10]
T. Vesala, N. Kljun, U. Rannik et al., “Flux and concentration footprint modelling: state of the art,” Environmental Pollution, vol. 152, no. 3, pp. 653–666, 2008.
[11]
C. I. Hsieh, G. Katul, and T. W. Chi, “An approximate analytical model for footprint estimation of scalar fluxes in thermally stratified atmospheric flows,” Advances in Water Resources, vol. 23, no. 7, pp. 765–772, 2000.
[12]
D. Cava, D. Contini, A. Donateo, and P. Martano, “Analysis of short-term closure of the surface energy balance above short vegetation,” Agricultural and Forest Meteorology, vol. 148, no. 1, pp. 82–93, 2008.
[13]
R. T. McMillen, “An eddy correlation technique with extended applicability to non-simple terrain,” Boundary-Layer Meteorology, vol. 43, no. 3, pp. 231–245, 1988.
[14]
P. Martano, “An algorithm for the calculation of the time-dependent mixing height in coastal sites,” Journal of Applied Meteorology, vol. 41, no. 3, pp. 351–354, 2002.
[15]
P. Martano, “Inverse parameter estimation of the turbulent surface layer from single-level data and surface temperature,” Journal of Applied Meteorology and Climatology, vol. 47, no. 4, pp. 1027–1037, 2008.