G. Boni et al., Sampling strategies and assimilation of ground temperature for the estimation of surface energy balance components, IEEE GEOSCI, 39(1), 2001, pp. 165-172
Citations number
6
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
The performance of a land data assimilation system for surface ground tempe
rature sensing is demonstrated for the U.S. Southern Great Plains 1997 Hydr
ologic Field Experiment. Adjoint state formulation is used in a variational
scheme to minimize the error of surface ground temperature predictions sub
ject to constraints imposed by the system model, It is shown that continuou
s sampling of observations result in accurate estimation of the components
of the surface energy balance and an index of soil moisture. Experiments on
the effects of sparse temporal sampling (near the mean of minimum and maxi
mum in the diurnal cycle) on the estimation show that observations at the p
eak of the diurnal cycle is the most suitable for the land data assimilatio
n system. It is suggested that surface ground temperature within a similar
to3 h window centered on this time in the diurnal cycle contains informatio
n on the cumulative heating and available energy partitioning at the land s
urface.