Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape

Robert Pipunic; Dongryeol Ryu; Jeffrey Walker

doi:10.1002/9781118872086.ch18

Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape

Robert Pipunic, Dongryeol Ryu, Jeffrey Walker

Civil Engineering

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

2 Citations (Scopus)

Abstract

Soil moisture content is an important component of the hydrologic cycle, particularly over vegetation root-zone depths where its variation is linked to the relative fractions of evaporative and sensible heat flux feedbacks to the lower atmosphere, surface runoff, and groundwater recharge. Quantifying these processes across catchments using land surface models (LSMs), therefore, depends on soil moisture state prediction. This chapter utilizes in situ soil moisture profile data from the OzNet monitoring network in southeastern Australia to validate LSM assimilation results. The impact from assimilating a near-surface soil moisture data product - derived from the advanced microwave scanning radiometer for the earth observing system (AMSR-E) observations of the top 1-2cm of soil - on deeper soil moisture profile predictions from the community atmosphere biosphere land exchange model (CABLE) is examined.

Original language	English
Title of host publication	Remote Sensing of the Terrestrial Water Cycle
Editors	Venkat Lakshmi, Douglas Alsdorf, Martha Anderson, Sylvain Biancamaria, Michael Cosh, Jared Entin, George Huffman, William Kustas, Peter van Oevelen, Thomas Painter, Juraj Parajka, Matthew Rodell, Christoph Rudiger
Place of Publication	Washington DC USA
Publisher	American Geophysical Union
Pages	305 - 317
Number of pages	13
Edition	1
ISBN (Print)	9781118872031
DOIs	https://doi.org/10.1002/9781118872086.ch18
Publication status	Published - 2015

Keywords

AMSR-E
CABLE
land surface models
near-surface soil moisture assimilation
OzNet stations
southeastern Australia
vegetation root-zone depths

Access to Document

10.1002/9781118872086.ch18

RM sElocation

Cite this

Pipunic, R., Ryu, D., & Walker, J. (2015). Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape. In V. Lakshmi, D. Alsdorf, M. Anderson, S. Biancamaria, M. Cosh, J. Entin, G. Huffman, W. Kustas, P. van Oevelen, T. Painter, J. Parajka, M. Rodell, & C. Rudiger (Eds.), Remote Sensing of the Terrestrial Water Cycle (1 ed., pp. 305 - 317). American Geophysical Union. https://doi.org/10.1002/9781118872086.ch18

Pipunic, Robert ; Ryu, Dongryeol ; Walker, Jeffrey. / Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape. Remote Sensing of the Terrestrial Water Cycle. editor / Venkat Lakshmi ; Douglas Alsdorf ; Martha Anderson ; Sylvain Biancamaria ; Michael Cosh ; Jared Entin ; George Huffman ; William Kustas ; Peter van Oevelen ; Thomas Painter ; Juraj Parajka ; Matthew Rodell ; Christoph Rudiger. 1. ed. Washington DC USA : American Geophysical Union, 2015. pp. 305 - 317

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abstract = "Soil moisture content is an important component of the hydrologic cycle, particularly over vegetation root-zone depths where its variation is linked to the relative fractions of evaporative and sensible heat flux feedbacks to the lower atmosphere, surface runoff, and groundwater recharge. Quantifying these processes across catchments using land surface models (LSMs), therefore, depends on soil moisture state prediction. This chapter utilizes in situ soil moisture profile data from the OzNet monitoring network in southeastern Australia to validate LSM assimilation results. The impact from assimilating a near-surface soil moisture data product - derived from the advanced microwave scanning radiometer for the earth observing system (AMSR-E) observations of the top 1-2cm of soil - on deeper soil moisture profile predictions from the community atmosphere biosphere land exchange model (CABLE) is examined.",

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Pipunic, R, Ryu, D & Walker, J 2015, Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape. in V Lakshmi, D Alsdorf, M Anderson, S Biancamaria, M Cosh, J Entin, G Huffman, W Kustas, P van Oevelen, T Painter, J Parajka, M Rodell & C Rudiger (eds), Remote Sensing of the Terrestrial Water Cycle. 1 edn, American Geophysical Union, Washington DC USA, pp. 305 - 317. https://doi.org/10.1002/9781118872086.ch18

Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape. / Pipunic, Robert; Ryu, Dongryeol; Walker, Jeffrey.

Remote Sensing of the Terrestrial Water Cycle. ed. / Venkat Lakshmi; Douglas Alsdorf; Martha Anderson; Sylvain Biancamaria; Michael Cosh; Jared Entin; George Huffman; William Kustas; Peter van Oevelen; Thomas Painter; Juraj Parajka; Matthew Rodell; Christoph Rudiger. 1. ed. Washington DC USA : American Geophysical Union, 2015. p. 305 - 317.

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

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N2 - Soil moisture content is an important component of the hydrologic cycle, particularly over vegetation root-zone depths where its variation is linked to the relative fractions of evaporative and sensible heat flux feedbacks to the lower atmosphere, surface runoff, and groundwater recharge. Quantifying these processes across catchments using land surface models (LSMs), therefore, depends on soil moisture state prediction. This chapter utilizes in situ soil moisture profile data from the OzNet monitoring network in southeastern Australia to validate LSM assimilation results. The impact from assimilating a near-surface soil moisture data product - derived from the advanced microwave scanning radiometer for the earth observing system (AMSR-E) observations of the top 1-2cm of soil - on deeper soil moisture profile predictions from the community atmosphere biosphere land exchange model (CABLE) is examined.

AB - Soil moisture content is an important component of the hydrologic cycle, particularly over vegetation root-zone depths where its variation is linked to the relative fractions of evaporative and sensible heat flux feedbacks to the lower atmosphere, surface runoff, and groundwater recharge. Quantifying these processes across catchments using land surface models (LSMs), therefore, depends on soil moisture state prediction. This chapter utilizes in situ soil moisture profile data from the OzNet monitoring network in southeastern Australia to validate LSM assimilation results. The impact from assimilating a near-surface soil moisture data product - derived from the advanced microwave scanning radiometer for the earth observing system (AMSR-E) observations of the top 1-2cm of soil - on deeper soil moisture profile predictions from the community atmosphere biosphere land exchange model (CABLE) is examined.

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BT - Remote Sensing of the Terrestrial Water Cycle

A2 - Lakshmi, Venkat

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A2 - Entin, Jared

A2 - Huffman, George

A2 - Kustas, William

A2 - van Oevelen, Peter

A2 - Painter, Thomas

A2 - Parajka, Juraj

A2 - Rodell, Matthew

A2 - Rudiger, Christoph

PB - American Geophysical Union

CY - Washington DC USA

ER -

Pipunic R, Ryu D, Walker J. Assessing near-surface soil moisture assimilation impacts on modeled root-zone moisture for an Australian agricultural landscape. In Lakshmi V, Alsdorf D, Anderson M, Biancamaria S, Cosh M, Entin J, Huffman G, Kustas W, van Oevelen P, Painter T, Parajka J, Rodell M, Rudiger C, editors, Remote Sensing of the Terrestrial Water Cycle. 1 ed. Washington DC USA: American Geophysical Union. 2015. p. 305 - 317 https://doi.org/10.1002/9781118872086.ch18