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 article in proceedingspeer-review

1 Citation (Scopus)

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
Title of host publicationRemote Sensing and Hydrology
EditorsChristopher M.U. Neale, Michael H. Cosh
PublisherInternational Association of Hydrological Sciences
Pages292-295
Number of pages4
ISBN (Print)9781907161278
Publication statusPublished - 2012
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: 27 Sep 201030 Sep 2010

Publication series

NameIAHS-AISH Publication
Volume352
ISSN (Print)0144-7815

Conference

ConferenceRemote Sensing and Hydrology Symposium
Country/TerritoryUnited States
CityJackson Hole, WY
Period27/09/1030/09/10

Keywords

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

Programme Area

  • Programme Area 2: Water Resources

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