Can assimilating remotely-sensed surface soil moisture data improve root-zone soil moisture predictions in the CABLE land surface model?

Robert Pipunic, Kaighin McColl, Dongryeol Ryu, Jeffrey Walker

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

2 Citations (Scopus)
Original languageEnglish
Title of host publicationMODSIM2011 - 19th International Congress on Modelling and Simulation
EditorsF Chan, D Marinova, R S Anderssen
Place of PublicationCanberra ACT
PublisherModelling and Simulation Society of Australia and New Zealand (MSSANZ)
Pages1994 - 2001
Number of pages8
ISBN (Print)9780987214317
Publication statusPublished - 2011
EventInternational Congress on Modelling and Simulation 2011: Sustaining Our Future: Understanding and Living with Uncertainty - Perth, Australia
Duration: 12 Dec 201116 Dec 2011
Conference number: 19th

Conference

ConferenceInternational Congress on Modelling and Simulation 2011
Abbreviated titleMODSIM2011
CountryAustralia
CityPerth
Period12/12/1116/12/11

Cite this

Pipunic, R., McColl, K., Ryu, D., & Walker, J. (2011). Can assimilating remotely-sensed surface soil moisture data improve root-zone soil moisture predictions in the CABLE land surface model? In F. Chan, D. Marinova, & R. S. Anderssen (Eds.), MODSIM2011 - 19th International Congress on Modelling and Simulation (pp. 1994 - 2001). Modelling and Simulation Society of Australia and New Zealand (MSSANZ).