Mapping air temperature using time series analysis of LST: the SINTESI approach
-
Published:2013-07-13
Issue:4
Volume:20
Page:513-527
-
ISSN:1607-7946
-
Container-title:Nonlinear Processes in Geophysics
-
language:en
-
Short-container-title:Nonlin. Processes Geophys.
Author:
Alfieri S. M.,De Lorenzi F.,Menenti M.
Abstract
Abstract. This paper presents a new procedure to map time series of air temperature (Ta) at fine spatial resolution using time series analysis of satellite-derived land surface temperature (LST) observations. The method assumes that air temperature is known at a single (reference) location such as in gridded climate data with grid size of the order of 35 km × 35 km. The LST spatial and temporal pattern within a grid cell has been modelled by the pixel-wise ratios r (x,y,t) of the LST at any location to the LST at a reference location. A preliminary analysis of these patterns over a decade has demonstrated that their intra-annual variability is not negligible, with significant seasonality, even if it is stable throughout the years. The intra-annual variability has been modeled using Fourier series. We have evaluated the intra-annual variability by theoretically calculating the yearly evolution of LST (t) for a range of cases as a function of terrain, land cover and hydrological conditions. These calculations are used to interpret the observed LST (x,y,t) and r (x,y,t). The inter-annual variability has been evaluated by modeling each year of observations using Fourier series and evaluating the interannual variability of Fourier coefficients. Because of the negligible interannual variability of r (x,y,t), LST (x,y,t) can be reconstructed in periods of time different from the ones when LST observations are available. Time series of Ta are generated using the ratio r (x,y,t) and a linear regression between LST and Ta. Such linear regression is applied in two ways: (a) to estimate LST at any time from observations or forecasts of Ta at the reference location; (b) to estimate Ta from LST at any location. The results presented in this paper are based on the analysis of daily MODIS LST observations over the period 2001–2010. The Ta at the reference location was gridded data at a node of a 35 km × 35 km grid. Only one node was close to our study area and was used for the work presented here. The regression of Ta on LST was determined using concurrent observations of Ta at the four available weather stations in the Valle Telesina (Italy), our study area. The accuracy of our estimates is consistent with literature and with the combined accuracy of LST and Ta. We obtained comparable error statistics when applying our method to LST data during periods different but adjacent to the periods used to model of r (x,y,t). The method has also been evaluated against Ta observations for earlier periods of time (1984–1988), although available data are rather sparse in space and time. Slightly larger deviation were obtained. In all cases five days of averages from estimated and observed Ta were compared, giving a better accuracy.
Publisher
Copernicus GmbH
Reference43 articles.
1. Alfieri, S. M., De Lorenzi, F., Bonfante, A., Basile, A., and Menenti, M.: Mapping air temperature by Fourier analysis of land surface temperature time series observed by TERRA/MODIS, in: Proceedings of the 1st EARSeL Workshop on Temporal Analysis of Satellite Images, Mykonos, Greece, 21–24 May 2012, 34–43, 2012. 2. Allen, R. G., Trezza, R., and Tasumi, M.: Analytical integrated functions for daily solar radiation on slopes, Agr. Forest Meteorol., 139, 55–73, 2006. 3. Bertoldi, G., Notarnicola, C., Leitininger, G., Endrizzi, S., Zebish, M., Della Chiesa, S., and Tappeiner, U.: Topographical and ecoidrological controls on land surface temperature in an aline catchment, Ecoidrology, 3, 189–204, 2010. 4. Cresswell, M. P., Morse, A. P., Thomson, M. C., and Connor, S. J.: Estimating surface air temperatures, from Meteosat land surface temperatures, using an empirical solar zenith angle model, Int. J. Remote Sens., 20, 1125–1132, 1999. 5. Czajkowski, K. P., Mulhern, T., Goward, S. N., Cihlar, J., Dubayah, R. O., and Prince, S. D.: Biospheric environmental monitoring at BOREAS with AVHR, J. Geophys. Res. Atmos., 102, 651–662, 1997.
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|