@inproceedings{820ce362f49340dbaaf4157178a17c99,
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",
isbn = "9781907161278",
series = "IAHS-AISH Publication",
pages = "292--295",
editor = "Neale, {Christopher M.U.} and Cosh, {Michael H.}",
booktitle = "Remote Sensing and Hydrology",
publisher = "International Association of Hydrological Sciences",
note = "Remote Sensing and Hydrology Symposium ; Conference date: 27-09-2010 Through 30-09-2010",
}