A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations

Bhattacharya, Bimal K.; Mallick, Kaniska; Desai, Devansh; Bhat, Ganapati S.; Morrison, Ross; Clevery, Jamie R.; Woodgate, William; Beringer, Jason; Cawse-Nicholson, Kerry; Ma, Siyan; Verfaillie, Joseph; Baldocchi, Dennis

doi:10.5194/bg-19-5521-2022

Title: A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations

Journal Article · Thu Dec 08 00:00:00 EST 2022 · Biogeosciences (Online)

DOI:https://doi.org/10.5194/bg-19-5521-2022· OSTI ID:1902476

Bhattacharya, Bimal K.;

; Desai, Devansh; Bhat, Ganapati S.;

; Clevery, Jamie R.; Woodgate, William;

; Cawse-Nicholson, Kerry; Ma, Siyan; Verfaillie, Joseph;

Abstract. One of the major undetermined problems in evaporation (ET) retrieval using thermal infrared remote sensing is the lack of a physically based ground heat flux (G) model and its integration within the surface energy balance (SEB) equation. Here, we present a novel approach based on coupling a thermal inertia (TI)-based mechanistic G model with an analytical surface energy balance model, Surface Temperature Initiated Closure (STIC, version STIC1.2). The coupled model is named STIC-TI. The model is driven by noon–night (13:30 and 01:30 local time) land surface temperature, surface albedo, and a vegetation index from MODIS Aqua in conjunction with a clear-sky net radiation sub-model and ancillary meteorological information. SEB flux estimates from STIC-TI were evaluated with respect to the in situ fluxes from eddy covariance measurements in diverse ecosystems of contrasting aridity in both the Northern Hemisphere and Southern Hemisphere. Sensitivity analysis revealed substantial sensitivity of STIC-TI-derived fluxes due to the land surface temperature uncertainty. An evaluation of noontime G (Gi) estimates showed 12 %–21 % error across six flux tower sites, and a comparison between STIC-TI versus empirical G models also revealed the substantially better performance of the former. While the instantaneous noontime net radiation (RNi) and latent heat flux (LEi) were overestimated (15 % and 25 %), sensible heat flux (Hi) was underestimated (22 %). Overestimation (underestimation) of LEi (Hi) was associated with the overestimation of net available energy (RNi−Gi) and use of unclosed surface energy balance flux measurements in LEi (Hi) validation. The mean percent deviations in Gi and Hi estimates were found to be strongly correlated with satellite day–night view angle difference in parabolic and linear pattern, and a relatively weak correlation was found between day–night view angle difference versus LEi deviation. Findings from this parameter-sparse coupled G–ET model can make a valuable contribution to mapping and monitoring the spatiotemporal variability of ecosystem water stress and evaporation using noon–night thermal infrared observations from future Earth observation satellite missions such as TRISHNA, LSTM, and SBG.

View Journal Article

Cite

Export

Save

Sponsoring Organization:: USDOE

Grant/Contract Number:: Ameriflux

OSTI ID:: 1902476

Journal Information:: Biogeosciences (Online), Journal Name: Biogeosciences (Online) Vol. 19 Journal Issue: 23; ISSN 1726-4189

Publisher:: Copernicus GmbHCopyright Statement

Country of Publication:: Germany

Language:: English

References (66)

Ground heat flux: An analytical review of 6 models evaluated at 88 sites and globally: GROUND HEAT FLUX Purdy, A. J.; Fisher, J. B.; Goulden, M. L. Journal of Geophysical Research: Biogeosciences, Vol. 121, Issue 12 https://doi.org/10.1002/2016JG003591	journal	December 2016
Updated world map of the Köppen-Geiger climate classification Peel, M. C.; Finlayson, B. L.; McMahon, T. A. Hydrology and Earth System Sciences, Vol. 11, Issue 5 https://doi.org/10.5194/hess-11-1633-2007	journal	January 2007
Mapping surface energy balance components by combining landsat thematic mapper and ground-based meteorological data☆ Moran, M.; Jackson, R.; Raymond, L. Remote Sensing of Environment, Vol. 30, Issue 1 https://doi.org/10.1016/0034-4257(89)90049-7	journal	October 1989
A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, Issue 4 https://doi.org/10.1109/36.602541	journal	July 1997
Evapotranspiration using MODIS data and limited ground observations over selected agroecosystems in India Mallick, K.; Bhattacharya, B. K.; Chaurasia, S. International Journal of Remote Sensing, Vol. 28, Issue 10 https://doi.org/10.1080/01431160600935620	journal	May 2007
Spatial and seasonal variations in evapotranspiration over Canada's landmass Wang, S.; Yang, Y.; Luo, Y. Hydrology and Earth System Sciences, Vol. 17, Issue 9 https://doi.org/10.5194/hess-17-3561-2013	journal	January 2013
Predicting soil properties in the tropics Minasny, Budiman; Hartemink, Alfred E. Earth-Science Reviews, Vol. 106, Issue 1-2 https://doi.org/10.1016/j.earscirev.2011.01.005	journal	May 2011
Latent heat flux estimation in clear sky days over Indian agroecosystems using noontime satellite remote sensing data Mallick, Kaniska; Bhattacharya, Bimal K.; Rao, V. U. M. Agricultural and Forest Meteorology, Vol. 149, Issue 10 https://doi.org/10.1016/j.agrformet.2009.05.006	journal	October 2009
Spatial and temporal variability in energy and water vapour fluxes observed at seven sites on the Indian subcontinent during 2017 Bhat, G. S.; Morrison, R.; Taylor, C. M. Quarterly Journal of the Royal Meteorological Society, Vol. 146, Issue 731 https://doi.org/10.1002/qj.3688	journal	December 2019
Estimation of evaporative fraction and evapotranspiration from MODIS products using a complementary based model Venturini, V.; Islam, S.; Rodriguez, L. Remote Sensing of Environment, Vol. 112, Issue 1 https://doi.org/10.1016/j.rse.2007.04.014	journal	January 2008
Cross-satellite comparison of operational land surface temperature products derived from MODIS and ASTER data over bare soil surfaces Duan, Si-Bo; Li, Zhao-Liang; Cheng, Jie ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 126 https://doi.org/10.1016/j.isprsjprs.2017.02.003	journal	April 2017
Footprint modeling for vegetation atmosphere exchange studies: a review and perspective Schmid, Hans Peter Agricultural and Forest Meteorology, Vol. 113, Issue 1-4 https://doi.org/10.1016/S0168-1923(02)00107-7	journal	December 2002
Characterizing the diurnal patterns of errors in the prediction of evapotranspiration by several land-surface models: An NACP analysis: Error patterns in modeled transpiration Matheny, Ashley M.; Bohrer, Gil; Stoy, Paul C. Journal of Geophysical Research: Biogeosciences, Vol. 119, Issue 7 https://doi.org/10.1002/2014JG002623	journal	July 2014
Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation Donohue, R. J.; Hume, I. H.; Roderick, M. L. Remote Sensing of Environment, Vol. 155 https://doi.org/10.1016/j.rse.2014.09.007	journal	December 2014
Energy balance closure at FLUXNET sites Wilson, Kell; Goldstein, Allen; Falge, Eva Agricultural and Forest Meteorology, Vol. 113, Issue 1-4 https://doi.org/10.1016/S0168-1923(02)00109-0	journal	December 2002
A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes Mallick, Kaniska; Jarvis, Andrew J.; Boegh, Eva Remote Sensing of Environment, Vol. 141 https://doi.org/10.1016/j.rse.2013.10.022	journal	February 2014
Flux and concentration footprint modelling: State of the art Vesala, T.; Kljun, N.; Rannik, Ü. Environmental Pollution, Vol. 152, Issue 3 https://doi.org/10.1016/j.envpol.2007.06.070	journal	April 2008
Advances in thermal infrared remote sensing for land surface modeling Kustas, William; Anderson, Martha Agricultural and Forest Meteorology, Vol. 149, Issue 12 https://doi.org/10.1016/j.agrformet.2009.05.016	journal	December 2009
Components of near-surface energy balance derived from satellite soundings – Part 1: Noontime net available energy Mallick, K.; Jarvis, A.; Wohlfahrt, G. Biogeosciences, Vol. 12, Issue 2 https://doi.org/10.5194/bg-12-433-2015	journal	January 2015
Technical note: An experimental set-up to measure latent and sensible heat fluxes from (artificial) plant leaves Schymanski, Stanislaus J.; Breitenstein, Daniel; Or, Dani Hydrology and Earth System Sciences, Vol. 21, Issue 7 https://doi.org/10.5194/hess-21-3377-2017	journal	January 2017
Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US Bhattarai, Nishan; Mallick, Kaniska; Brunsell, Nathaniel A. Hydrology and Earth System Sciences, Vol. 22, Issue 4 https://doi.org/10.5194/hess-22-2311-2018	journal	January 2018
Remote sensing of surface energy fluxes at 10 ¹ -m pixel resolutions : REMOTE SENSING OF SURFACE ENERGY FLUXES Norman, J. M.; Anderson, M. C.; Kustas, W. P. Water Resources Research, Vol. 39, Issue 8 https://doi.org/10.1029/2002WR001775	journal	August 2003
First operational BRDF, albedo nadir reflectance products from MODIS Schaaf, Crystal B.; Gao, Feng; Strahler, Alan H. Remote Sensing of Environment, Vol. 83, Issue 1-2 https://doi.org/10.1016/S0034-4257(02)00091-3	journal	November 2002
Diurnal Covariation in Soil Heat Flux and Net Radiation Santanello, Joseph A.; Friedl, Mark A. Journal of Applied Meteorology, Vol. 42, Issue 6 https://doi.org/10.1175/1520-0450(2003)042<0851:DCISHF>2.0.CO;2	journal	June 2003
An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data Bhattarai, Nishan; Mallick, Kaniska; Stuart, Julia Remote Sensing of Environment, Vol. 229 https://doi.org/10.1016/j.rse.2019.04.026	journal	August 2019
Rainfall interception and the coupled surface water and energy balance van Dijk, Albert I. J. M.; Gash, John H.; van Gorsel, Eva Agricultural and Forest Meteorology, Vol. 214-215 https://doi.org/10.1016/j.agrformet.2015.09.006	journal	December 2015
A Global Analysis of Land Surface Temperature Diurnal Cycle Using MODIS Observations Sharifnezhadazizi, Zahra; Norouzi, Hamid; Prakash, Satya Journal of Applied Meteorology and Climatology, Vol. 58, Issue 6 https://doi.org/10.1175/JAMC-D-18-0256.1	journal	June 2019
Interaction of convective organization with monsoon precipitation, atmosphere, surface and sea: The 2016 INCOMPASS field campaign in India Turner, A. G.; Bhat, G. S.; Martin, G. M. Quarterly Journal of the Royal Meteorological Society, Vol. 146, Issue 731 https://doi.org/10.1002/qj.3633	journal	October 2019
Remote estimation of thermal inertia and soil heat flux for bare soil Verhoef, Anne Agricultural and Forest Meteorology, Vol. 123, Issue 3-4 https://doi.org/10.1016/j.agrformet.2003.11.005	journal	June 2004
Estimation of surface heat flux and an index of soil moisture using adjoint-state surface energy balance Castelli, Fabio; Entekhabi, Dara; Caporali, Enrica Water Resources Research, Vol. 35, Issue 10 https://doi.org/10.1029/1999WR900140	journal	October 1999
A data-driven analysis of energy balance closure across FLUXNET research sites: The role of landscape scale heterogeneity Stoy, Paul C.; Mauder, Matthias; Foken, Thomas Agricultural and Forest Meteorology, Vol. 171-172 https://doi.org/10.1016/j.agrformet.2012.11.004	journal	April 2013
Ground Heat Flux Determination according to Land Skin Temperature Observations from In Situ Stations and Satellites Tsuang, Ben-Jei Journal of Hydrometeorology, Vol. 6, Issue 4 https://doi.org/10.1175/JHM425.1	journal	August 2005
Moving towards a more mechanistic approach in the determination of soil heat flux from remote measurements Murray, T.; Verhoef, A. Agricultural and Forest Meteorology, Vol. 147, Issue 1-2 https://doi.org/10.1016/j.agrformet.2007.07.004	journal	November 2007
Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa Kiptala, J. K.; Mohamed, Y.; Mul, M. L. Water Resources Research, Vol. 49, Issue 12 https://doi.org/10.1002/2013WR014240	journal	December 2013
A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation: EVAPOTRANSPIRATION AND MOISTURE STRESS Anderson, Martha C.; Norman, John M.; Mecikalski, John R. Journal of Geophysical Research: Atmospheres, Vol. 112, Issue D10 https://doi.org/10.1029/2006JD007506	journal	May 2007
Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign Anderson, Martha C.; Kustas, William P.; Alfieri, Joseph G. Advances in Water Resources, Vol. 50 https://doi.org/10.1016/j.advwatres.2012.06.005	journal	December 2012
Spatial Disaggregation of Latent Heat Flux Using Contextual Models over India Eswar, Rajasekaran; Sekhar, Muddu; Bhattacharya, Bimal Remote Sensing, Vol. 9, Issue 9 https://doi.org/10.3390/rs9090949	journal	September 2017
OzFlux data: network integration from collection to curation Isaac, Peter; Cleverly, James; McHugh, Ian Biogeosciences, Vol. 14, Issue 12 https://doi.org/10.5194/bg-14-2903-2017	journal	January 2017
Impact of wave phase difference between soil surface heat flux and soil surface temperature on soil surface energy balance closure Gao, Z.; Horton, R.; Liu, H. P. Journal of Geophysical Research, Vol. 115, Issue D16 https://doi.org/10.1029/2009JD013278	journal	January 2010
A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland Mallick, Kaniska; Wandera, Loise; Bhattarai, Nishan Water, Vol. 10, Issue 12 https://doi.org/10.3390/w10121753	journal	November 2018
On the Role of Land Surface Temperature as Proxy of Soil Moisture Status for Drought Monitoring in Europe Cammalleri, Carmelo; Vogt, Jürgen Remote Sensing, Vol. 7, Issue 12 https://doi.org/10.3390/rs71215857	journal	December 2015
Decreased surface albedo driven by denser vegetation on the Tibetan Plateau Tian, Li; Zhang, Yangjian; Zhu, Juntao Environmental Research Letters, Vol. 9, Issue 10 https://doi.org/10.1088/1748-9326/9/10/104001	journal	October 2014
An introduction to the Australian and New Zealand flux tower network – OzFlux Beringer, Jason; Hutley, Lindsay B.; McHugh, Ian Biogeosciences, Vol. 13, Issue 21 https://doi.org/10.5194/bg-13-5895-2016	journal	January 2016
New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product Wan, Zhengming Remote Sensing of Environment, Vol. 140 https://doi.org/10.1016/j.rse.2013.08.027	journal	January 2014
Effects of Vegetation Clumping on Two–Source Model Estimates of Surface Energy Fluxes from an Agricultural Landscape during SMACEX Anderson, Martha C.; Norman, J. M.; Kustas, William P. Journal of Hydrometeorology, Vol. 6, Issue 6 https://doi.org/10.1175/JHM465.1	journal	December 2005
Estimation of Global Ground Heat Flux Bennett, William B.; Wang, Jingfeng; Bras, Rafael L. Journal of Hydrometeorology, Vol. 9, Issue 4 https://doi.org/10.1175/2008JHM940.1	journal	August 2008
Reintroducing radiometric surface temperature into the Penman-Monteith formulation: THERMAL REMOTE SENSING OF PENMAN-MONTEITH EQUATION Mallick, Kaniska; Boegh, Eva; Trebs, Ivonne Water Resources Research, Vol. 51, Issue 8 https://doi.org/10.1002/2014WR016106	journal	August 2015
Combining weather prediction and remote sensing data for the calculation of evapotranspiration rates: application to Denmark Boegh, E.; Soegaard, H.; Christensen, J. H. International Journal of Remote Sensing, Vol. 25, Issue 13 https://doi.org/10.1080/01431160310001647984	journal	July 2004
The Indian-French Trishna Mission: Earth Observation in the Thermal Infrared with High Spatio-Temporal Resolution Lagouarde, J. -P.; Bhattacharya, B. K.; Crebassol, P. IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium https://doi.org/10.1109/IGARSS.2018.8518720	conference	July 2018
A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation Bastiaanssen, W. G. M.; Menenti, M.; Feddes, R. A. Journal of Hydrology, Vol. 212-213 https://doi.org/10.1016/S0022-1694(98)00253-4	journal	December 1998
Trends in Summer Rainfall over China Associated with the Tibetan Plateau Sensible Heat Source during 1980–2008 Duan, Anmin; Wang, Meirong; Lei, Yonghui Journal of Climate, Vol. 26, Issue 1 https://doi.org/10.1175/JCLI-D-11-00669.1	journal	January 2013
Spatio-temporal surface soil heat flux estimates from satellite data; results for the AMMA experiment at the Fakara (Niger) supersite Verhoef, Anne; Ottlé, Catherine; Cappelaere, Bernard Agricultural and Forest Meteorology, Vol. 154-155 https://doi.org/10.1016/j.agrformet.2011.08.003	journal	March 2012
Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin Mallick, Kaniska; Trebs, Ivonne; Boegh, Eva Hydrology and Earth System Sciences, Vol. 20, Issue 10 https://doi.org/10.5194/hess-20-4237-2016	journal	January 2016
Sensitivity of soil surface temperature in a force-restore equation to heat fluxes and deep soil temperature Mihailović, Dragutin T.; Kallos, George; Arsenić, Ilija D. International Journal of Climatology, Vol. 19, Issue 14 https://doi.org/10.1002/(SICI)1097-0088(19991130)19:14<1617::AID-JOC448>3.0.CO;2-B	journal	November 1999
Critical analysis of thermal inertia approaches for surface soil water content retrieval Maltese, A.; Bates, P. D.; Capodici, F. Hydrological Sciences Journal, Vol. 58, Issue 5 https://doi.org/10.1080/02626667.2013.802322	journal	July 2013
Indo-French High-Resolution Thermal Infrared Space Mission for Earth Natural Resources Assessment and Monitoring – Concept and Definition of Trishna Lagouarde, J. -P.; Bhattacharya, B. K.; Crébassol, P. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-3/W6 https://doi.org/10.5194/isprs-archives-XLII-3-W6-403-2019	journal	July 2019
What lies beneath: Vertical temperature heterogeneity in a Mediterranean woodland savanna Johnston, Miriam R.; Andreu, Ana; Verfaillie, Joseph Remote Sensing of Environment, Vol. 274 https://doi.org/10.1016/j.rse.2022.112950	journal	June 2022
A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales Anderson, Martha C.; Norman, J. M.; Mecikalski, John R. Journal of Hydrometeorology, Vol. 5, Issue 2 https://doi.org/10.1175/1525-7541(2004)005<0343:AMRSMF>2.0.CO;2	journal	April 2004
The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes Su, Z. Hydrology and Earth System Sciences, Vol. 6, Issue 1 https://doi.org/10.5194/hess-6-85-2002	journal	January 2002
Stomatal Control of Transpiration: Scaling Up from Leaf to Region Jarvis, P. G.; McNaughton, K. G. Advances in Ecological Research https://doi.org/10.1016/S0065-2504(08)60119-1	book	January 1986
A Closed-form Equation for Predicting the Hydraulic Conductivity of Unsaturated Soils1 van Genuchten, M. Th. Soil Science Society of America Journal, Vol. 44, Issue 5 https://doi.org/10.2136/sssaj1980.03615995004400050002x	journal	January 1980
Insights Into the Aerodynamic Versus Radiometric Surface Temperature Debate in Thermal‐Based Evaporation Modeling Mallick, Kaniska; Baldocchi, Dennis; Jarvis, Andrew Geophysical Research Letters, Vol. 49, Issue 15 https://doi.org/10.1029/2021GL097568	journal	August 2022
The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models Trebs, Ivonne; Mallick, Kaniska; Bhattarai, Nishan Remote Sensing of Environment, Vol. 264 https://doi.org/10.1016/j.rse.2021.112602	journal	October 2021
On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient Bai, Yun; Zhang, Sha; Bhattarai, Nishan Agricultural and Forest Meteorology, Vol. 298-299 https://doi.org/10.1016/j.agrformet.2020.108308	journal	March 2021
A method for the determination of the global solar radiation from meteorological satellite data Cano, D.; Monget, J. M.; Albuisson, M. Solar Energy, Vol. 37, Issue 1 https://doi.org/10.1016/0038-092X(86)90104-0	journal	January 1986
Surface energy balance and flux partitioning of annual crops in southwestern France Dare-Idowu, Oluwakemi; Brut, Aurore; Cuxart, Joan Agricultural and Forest Meteorology, Vol. 308-309 https://doi.org/10.1016/j.agrformet.2021.108529	journal	October 2021

Similar Records

Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US

Journal Article · Wed Apr 18 00:00:00 EDT 2018 · Hydrology and Earth System Sciences (Online) · OSTI ID:1902476

Bhattarai, Nishan; Mallick, Kaniska; Brunsell, Nathaniel A.; +2 more

On the surface energy balance closure at different temporal scales

Journal Article · Thu Oct 31 00:00:00 EDT 2019 · Agricultural and Forest Meteorology · OSTI ID:1902476

Grachev, Andrey A.; Fairall, Christopher W.; Blomquist, Byron W.; +5 more

The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms

Journal Article · Tue Feb 23 00:00:00 EST 2016 · Hydrology and Earth System Sciences (Online) · OSTI ID:1902476

Michel, D.; Jimenez, C.; Miralles, D. G.; +10 more

Title: A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations

Citation Formats

References (66)

Similar Records

Related Subjects