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

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

Civil & Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	MODSIM2011 - 19th International Congress on Modelling and Simulation
Editors	F Chan, D Marinova, R S Anderssen
Place of Publication	Canberra ACT
Publisher	Modelling and Simulation Society of Australia and New Zealand (MSSANZ)
Pages	1994 - 2001
Number of pages	8
ISBN (Print)	9780987214317
Publication status	Published - 2011
Event	International Congress on Modelling and Simulation 2011: Sustaining Our Future: Understanding and Living with Uncertainty - Perth, Australia Duration: 12 Dec 2011 → 16 Dec 2011 Conference number: 19th https://mssanz.org.au/modsim2011/

Conference

Conference	International Congress on Modelling and Simulation 2011
Abbreviated title	MODSIM 2011
Country/Territory	Australia
City	Perth
Period	12/12/11 → 16/12/11
Internet address	https://mssanz.org.au/modsim2011/

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).

Pipunic, Robert ; McColl, Kaighin ; Ryu, Dongryeol et al. / Can assimilating remotely-sensed surface soil moisture data improve root-zone soil moisture predictions in the CABLE land surface model?. MODSIM2011 - 19th International Congress on Modelling and Simulation. editor / F Chan ; D Marinova ; R S Anderssen. Canberra ACT : Modelling and Simulation Society of Australia and New Zealand (MSSANZ), 2011. pp. 1994 - 2001

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

author = "Robert Pipunic and Kaighin McColl and Dongryeol Ryu and Jeffrey Walker",

year = "2011",

language = "English",

isbn = "9780987214317",

pages = "1994 -- 2001",

editor = "F Chan and D Marinova and Anderssen, {R S}",

booktitle = "MODSIM2011 - 19th International Congress on Modelling and Simulation",

publisher = "Modelling and Simulation Society of Australia and New Zealand (MSSANZ)",

address = "New Zealand",

note = "International Congress on Modelling and Simulation 2011 : Sustaining Our Future: Understanding and Living with Uncertainty, MODSIM 2011 ; Conference date: 12-12-2011 Through 16-12-2011",

url = "https://mssanz.org.au/modsim2011/",

}

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 & RS Anderssen (eds), MODSIM2011 - 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Canberra ACT, pp. 1994 - 2001, International Congress on Modelling and Simulation 2011, Perth, Western Australia, Australia, 12/12/11.

Can assimilating remotely-sensed surface soil moisture data improve root-zone soil moisture predictions in the CABLE land surface model? / Pipunic, Robert; McColl, Kaighin; Ryu, Dongryeol et al.
MODSIM2011 - 19th International Congress on Modelling and Simulation. ed. / F Chan; D Marinova; R S Anderssen. Canberra ACT: Modelling and Simulation Society of Australia and New Zealand (MSSANZ), 2011. p. 1994 - 2001.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review