Analysing parameter sensitivities in a complex distributed hydrological model using remotely sensed surface temperatures

Simon Stisen, Matthew F. Mccabe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationRemote Sensing and Hydrology
Pages292-295
Number of pages4
Volume352
StatePublished - 2012
Externally publishedYes
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Other

OtherRemote Sensing and Hydrology Symposium
CountryUnited States
CityJackson Hole, WY
Period09/27/1009/30/10

Keywords

  • Land surface temperature
  • Model constraint
  • Model optimization
  • Sensitivity analysis

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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