@inproceedings{347fc65da0a84109a0c307410c71a6a1,
title = "Analysing parameter sensitivities in a complex distributed hydrological model using remotely sensed surface temperatures",
abstract = "Through a sensitivity analysis it is shown that traditional objective functions based on stream discharge and groundwater levels cannot alone constrain a complex groundwater-surface water-energy balance model. The patterns of land surface parameters especially require a distributed observational dataset. It is suggested that the traditional lumped observations are complemented by diurnal change in remotely-sensed land surface temperature in order to minimize the quantitative uncertainty of the spatial objective functions.",
keywords = "Land surface temperature, Model constraint, Model optimization, Sensitivity analysis",
author = "Simon Stisen and Mccabe, {Matthew F.}",
year = "2012",
language = "English (US)",
isbn = "9781907161278",
series = "IAHS-AISH Publication",
pages = "292--295",
booktitle = "Remote Sensing and Hydrology",
note = "Remote Sensing and Hydrology Symposium ; Conference date: 27-09-2010 Through 30-09-2010",
}