Diurnal temperature profile impacts on estimating effective soil temperature at L-Band

Paul O'Neill, Remy Dehaan, J.P. Walker

Research output: Book chapter/Published conference paperConference paper

Abstract

Near-surface soil moisture is an important parameter in hydrological, meteorological and agricultural applications. Passive microwave observations, both airborne and satellite, can be used to infer near-surface soil moisture. The brightness temperature of the thermal radiation that crosses the soil'air interface is the product of the soil emissivity and the effective temperature. At L-band, the emissivity is sensitive to the moisture content in the top few to several centimetres, while the effective temperature isthe weighted average of the emission from all locations within the soil. The effective temperature is used to normalise the observed brightness temperature so that the near-surface soil moisture can be inferred. The effective temperature is a function of the soil temperature and moisture profiles, full information of which is not available for remote sensing applications. The so-called 'C-parameterisation' uses two temperatures, one at or near the soil surface and the other at depth, to estimate the effective temperature. Variations in the shape of the temperature profile are not taken into account, so diurnal temperature variations might impact on the effectiveness of this method. Moreover, the best results have been obtained when the temperature just below the surface (e.g., 5 cm) is used. Operational applications thus rely onsimulations to provide the necessary sub-surface temperature information.The primary aim of the work presented here is to investigate the influence of diurnal temperature variations on the effectiveness of the C-parameterisation. A new method (the 'ratio model') is then introduced by which TEFF may be estimated solely from thermal infrared measurements of the soil skin temperature. The Simultaneous Heat and Water model of Flerchinger et al. (1998) was used to simulate temperature and moisture profiles under bare soil.The daytime profiles were used, with the aim of developing a model for use primarily with airborne observations acquired throughout the day.The C-parameterisation performed best when the temperature at a depth of 5 cm was used, with an RMS error of 0.29 K. When the temperature at the soil surface was used instead, the RMS error increased to 1.7 K and the residuals exhibited an increase from approx 2 to 3 K between 10:00 and 18:00 hours. This trend is owing to the phase difference between the effective temperature and soil skin temperature. The skin temperature peaks at approx13:00 hours, while the effective temperature peaks approx 3 hours later.The ratio between the effective temperature and soil skin temperature was found to vary smoothly, decreasing to a minimum near the middle of the day. By fitting a 3-parameter model to the data, the effective temperature could be estimated as a function of the skin temperature and hour of day. With an RMS error of 0.95 K, this model outperformed the C-parameterisation when using the soil skin temperature. The ratio model is primarily expected to be beneficial for airborne operations. A modified form may be required to account for variations in latitude, season, soil and vegetation properties, and meteorological conditions.
Original languageEnglish
Title of host publicationMODSIM 2011
Subtitle of host publicationSustaining our future: Understanding and living with uncertainty
EditorsMarinova D Chan F, Anderssen R S Anderssen R R S
Place of PublicationCanberra
PublisherModelling and Simulation Society of Australia and New Zealand
Pages3377-3383
Number of pages7
ISBN (Electronic)9780987214317
Publication statusPublished - 2011
EventInternational Congress on Modelling and Simulation - Perth, Australia
Duration: 12 Dec 201116 Dec 2011

Conference

ConferenceInternational Congress on Modelling and Simulation
CountryAustralia
Period12/12/1116/12/11

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temperature profile
soil temperature
temperature
skin
parameterization
soil moisture
soil
emissivity
brightness temperature
soil surface
agricultural application
soil air

Cite this

O'Neill, P., Dehaan, R., & Walker, J. P. (2011). Diurnal temperature profile impacts on estimating effective soil temperature at L-Band. In M. D. C. F, & A. R. S. A. R. R S (Eds.), MODSIM 2011: Sustaining our future: Understanding and living with uncertainty (pp. 3377-3383). Canberra: Modelling and Simulation Society of Australia and New Zealand.
O'Neill, Paul ; Dehaan, Remy ; Walker, J.P. / Diurnal temperature profile impacts on estimating effective soil temperature at L-Band. MODSIM 2011: Sustaining our future: Understanding and living with uncertainty. editor / Marinova D Chan F ; Anderssen R S Anderssen R R S. Canberra : Modelling and Simulation Society of Australia and New Zealand, 2011. pp. 3377-3383
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abstract = "Near-surface soil moisture is an important parameter in hydrological, meteorological and agricultural applications. Passive microwave observations, both airborne and satellite, can be used to infer near-surface soil moisture. The brightness temperature of the thermal radiation that crosses the soil'air interface is the product of the soil emissivity and the effective temperature. At L-band, the emissivity is sensitive to the moisture content in the top few to several centimetres, while the effective temperature isthe weighted average of the emission from all locations within the soil. The effective temperature is used to normalise the observed brightness temperature so that the near-surface soil moisture can be inferred. The effective temperature is a function of the soil temperature and moisture profiles, full information of which is not available for remote sensing applications. The so-called 'C-parameterisation' uses two temperatures, one at or near the soil surface and the other at depth, to estimate the effective temperature. Variations in the shape of the temperature profile are not taken into account, so diurnal temperature variations might impact on the effectiveness of this method. Moreover, the best results have been obtained when the temperature just below the surface (e.g., 5 cm) is used. Operational applications thus rely onsimulations to provide the necessary sub-surface temperature information.The primary aim of the work presented here is to investigate the influence of diurnal temperature variations on the effectiveness of the C-parameterisation. A new method (the 'ratio model') is then introduced by which TEFF may be estimated solely from thermal infrared measurements of the soil skin temperature. The Simultaneous Heat and Water model of Flerchinger et al. (1998) was used to simulate temperature and moisture profiles under bare soil.The daytime profiles were used, with the aim of developing a model for use primarily with airborne observations acquired throughout the day.The C-parameterisation performed best when the temperature at a depth of 5 cm was used, with an RMS error of 0.29 K. When the temperature at the soil surface was used instead, the RMS error increased to 1.7 K and the residuals exhibited an increase from approx 2 to 3 K between 10:00 and 18:00 hours. This trend is owing to the phase difference between the effective temperature and soil skin temperature. The skin temperature peaks at approx13:00 hours, while the effective temperature peaks approx 3 hours later.The ratio between the effective temperature and soil skin temperature was found to vary smoothly, decreasing to a minimum near the middle of the day. By fitting a 3-parameter model to the data, the effective temperature could be estimated as a function of the skin temperature and hour of day. With an RMS error of 0.95 K, this model outperformed the C-parameterisation when using the soil skin temperature. The ratio model is primarily expected to be beneficial for airborne operations. A modified form may be required to account for variations in latitude, season, soil and vegetation properties, and meteorological conditions.",
keywords = "Microwave radiometry, Remote sensing, Soil measurements, Temperature",
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O'Neill, P, Dehaan, R & Walker, JP 2011, Diurnal temperature profile impacts on estimating effective soil temperature at L-Band. in MDC F & ARSAR R S (eds), MODSIM 2011: Sustaining our future: Understanding and living with uncertainty. Modelling and Simulation Society of Australia and New Zealand, Canberra, pp. 3377-3383, International Congress on Modelling and Simulation, Australia, 12/12/11.

Diurnal temperature profile impacts on estimating effective soil temperature at L-Band. / O'Neill, Paul; Dehaan, Remy; Walker, J.P.

MODSIM 2011: Sustaining our future: Understanding and living with uncertainty. ed. / Marinova D Chan F; Anderssen R S Anderssen R R S. Canberra : Modelling and Simulation Society of Australia and New Zealand, 2011. p. 3377-3383.

Research output: Book chapter/Published conference paperConference paper

TY - GEN

T1 - Diurnal temperature profile impacts on estimating effective soil temperature at L-Band

AU - O'Neill, Paul

AU - Dehaan, Remy

AU - Walker, J.P.

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Canberra: Modelling and Simulation Society of Australia and New Zealand, 2011. editor/s (773b) = Chan F, Marinova D and Anderssen R S; Event dates (773o) = 12-16 December 2011; Parent title (773t) = International Congress on Modelling and Simulation.

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N2 - Near-surface soil moisture is an important parameter in hydrological, meteorological and agricultural applications. Passive microwave observations, both airborne and satellite, can be used to infer near-surface soil moisture. The brightness temperature of the thermal radiation that crosses the soil'air interface is the product of the soil emissivity and the effective temperature. At L-band, the emissivity is sensitive to the moisture content in the top few to several centimetres, while the effective temperature isthe weighted average of the emission from all locations within the soil. The effective temperature is used to normalise the observed brightness temperature so that the near-surface soil moisture can be inferred. The effective temperature is a function of the soil temperature and moisture profiles, full information of which is not available for remote sensing applications. The so-called 'C-parameterisation' uses two temperatures, one at or near the soil surface and the other at depth, to estimate the effective temperature. Variations in the shape of the temperature profile are not taken into account, so diurnal temperature variations might impact on the effectiveness of this method. Moreover, the best results have been obtained when the temperature just below the surface (e.g., 5 cm) is used. Operational applications thus rely onsimulations to provide the necessary sub-surface temperature information.The primary aim of the work presented here is to investigate the influence of diurnal temperature variations on the effectiveness of the C-parameterisation. A new method (the 'ratio model') is then introduced by which TEFF may be estimated solely from thermal infrared measurements of the soil skin temperature. The Simultaneous Heat and Water model of Flerchinger et al. (1998) was used to simulate temperature and moisture profiles under bare soil.The daytime profiles were used, with the aim of developing a model for use primarily with airborne observations acquired throughout the day.The C-parameterisation performed best when the temperature at a depth of 5 cm was used, with an RMS error of 0.29 K. When the temperature at the soil surface was used instead, the RMS error increased to 1.7 K and the residuals exhibited an increase from approx 2 to 3 K between 10:00 and 18:00 hours. This trend is owing to the phase difference between the effective temperature and soil skin temperature. The skin temperature peaks at approx13:00 hours, while the effective temperature peaks approx 3 hours later.The ratio between the effective temperature and soil skin temperature was found to vary smoothly, decreasing to a minimum near the middle of the day. By fitting a 3-parameter model to the data, the effective temperature could be estimated as a function of the skin temperature and hour of day. With an RMS error of 0.95 K, this model outperformed the C-parameterisation when using the soil skin temperature. The ratio model is primarily expected to be beneficial for airborne operations. A modified form may be required to account for variations in latitude, season, soil and vegetation properties, and meteorological conditions.

AB - Near-surface soil moisture is an important parameter in hydrological, meteorological and agricultural applications. Passive microwave observations, both airborne and satellite, can be used to infer near-surface soil moisture. The brightness temperature of the thermal radiation that crosses the soil'air interface is the product of the soil emissivity and the effective temperature. At L-band, the emissivity is sensitive to the moisture content in the top few to several centimetres, while the effective temperature isthe weighted average of the emission from all locations within the soil. The effective temperature is used to normalise the observed brightness temperature so that the near-surface soil moisture can be inferred. The effective temperature is a function of the soil temperature and moisture profiles, full information of which is not available for remote sensing applications. The so-called 'C-parameterisation' uses two temperatures, one at or near the soil surface and the other at depth, to estimate the effective temperature. Variations in the shape of the temperature profile are not taken into account, so diurnal temperature variations might impact on the effectiveness of this method. Moreover, the best results have been obtained when the temperature just below the surface (e.g., 5 cm) is used. Operational applications thus rely onsimulations to provide the necessary sub-surface temperature information.The primary aim of the work presented here is to investigate the influence of diurnal temperature variations on the effectiveness of the C-parameterisation. A new method (the 'ratio model') is then introduced by which TEFF may be estimated solely from thermal infrared measurements of the soil skin temperature. The Simultaneous Heat and Water model of Flerchinger et al. (1998) was used to simulate temperature and moisture profiles under bare soil.The daytime profiles were used, with the aim of developing a model for use primarily with airborne observations acquired throughout the day.The C-parameterisation performed best when the temperature at a depth of 5 cm was used, with an RMS error of 0.29 K. When the temperature at the soil surface was used instead, the RMS error increased to 1.7 K and the residuals exhibited an increase from approx 2 to 3 K between 10:00 and 18:00 hours. This trend is owing to the phase difference between the effective temperature and soil skin temperature. The skin temperature peaks at approx13:00 hours, while the effective temperature peaks approx 3 hours later.The ratio between the effective temperature and soil skin temperature was found to vary smoothly, decreasing to a minimum near the middle of the day. By fitting a 3-parameter model to the data, the effective temperature could be estimated as a function of the skin temperature and hour of day. With an RMS error of 0.95 K, this model outperformed the C-parameterisation when using the soil skin temperature. The ratio model is primarily expected to be beneficial for airborne operations. A modified form may be required to account for variations in latitude, season, soil and vegetation properties, and meteorological conditions.

KW - Microwave radiometry

KW - Remote sensing

KW - Soil measurements

KW - Temperature

M3 - Conference paper

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EP - 3383

BT - MODSIM 2011

A2 - F, Marinova D Chan

A2 - R S, Anderssen R S Anderssen R

PB - Modelling and Simulation Society of Australia and New Zealand

CY - Canberra

ER -

O'Neill P, Dehaan R, Walker JP. Diurnal temperature profile impacts on estimating effective soil temperature at L-Band. In F MDC, R S ARSAR, editors, MODSIM 2011: Sustaining our future: Understanding and living with uncertainty. Canberra: Modelling and Simulation Society of Australia and New Zealand. 2011. p. 3377-3383