A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes
(2014) In Remote Sensing of Environment 141(5). p.243261 Abstract
 The use of PenmanMonteith (PM) equation in thermal remote sensing based surface energy balance modeling is not prevalent due to the unavailability of any direct method to integrate thermal data into the PM equation and due to the lack of physical models expressing the surface (or stomatal) and boundary layer conductances (g(S) and g(B)) as a function of surface temperature. Here we demonstrate a new method that physically integrates the radiometric surface temperature (TS) into the PM equation for estimating the terrestrial surface energy balance fluxes (sensible heat, H and latent heat, lambda E). The method combines satellite TS data with standard energy balance closure models in order to derive a hybrid closure that does not require... (More)
 The use of PenmanMonteith (PM) equation in thermal remote sensing based surface energy balance modeling is not prevalent due to the unavailability of any direct method to integrate thermal data into the PM equation and due to the lack of physical models expressing the surface (or stomatal) and boundary layer conductances (g(S) and g(B)) as a function of surface temperature. Here we demonstrate a new method that physically integrates the radiometric surface temperature (TS) into the PM equation for estimating the terrestrial surface energy balance fluxes (sensible heat, H and latent heat, lambda E). The method combines satellite TS data with standard energy balance closure models in order to derive a hybrid closure that does not require the specification of surface to atmosphere conductance terms. We call this the Surface Temperature Initiated Closure (STIC), which is formed by the simultaneous solution of four state equations. Taking advantage of the psychrometric relationship between temperature and vapor pressure, the present method also estimates the near surface moisture availability (M) from TS, air temperature (TA) and relative humidity (RH), thereby being capable of decomposing lambda E into evaporation (lambda EE) and transpiration (lambda ET). STIC is driven with TS, TA, RH, net radiation (RN), and ground heat flux (G). TS measurements from both MODIS Terra (MOD11A2) and Aqua (MYD11A2) were used in conjunction with FLUXNET RN, G, TA, RH, lambda E and H measurements corresponding to the MODIS equatorial crossing time. The performance of STIC has been evaluated in comparison to the eddy covariance measurements of lambda E and H at 30 sites that cover a broad range of biomes and climates. We found a RMSE of 37.79 (11%) (with MODIS Terra TS) and 44.27 W m(2) (15%) (with MODIS Aqua TS) in lambda E estimates, while the RMSE was 37.74(9%) (with Terra) and 44.72 W m(2) (8%) (with Aqua) in H. STIC could efficiently capture the lambda E dynamics during the dry down period in the semiarid landscapes where lambda E is strongly governed by the subsurface soil moisture and where the majority of other lambda E models generally show poor results. Sensitivity analysis revealed a high sensitivity of both the fluxes to the uncertainties in TS. A realistic response and modest relationship was also found when partitioned lambda E components (lambda EE and lambda ET) were compared to the observed soil moisture and rainfall. This is the first study to report the physical integration of TS into the PM equation and finding analytical solution of the physical (g(B)) and physiological conductances (g(S)). The performance of STIC over diverse biomes and climates points to its potential to benefit future NASA and NOAA missions having thermal sensors, such as HyspIRI, GeoSTAR and GOESR for mapping multiscale lambda E and drought. (C) 2013 Elsevier Inc. All rights reserved. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4364122
 author
 organization
 publishing date
 2014
 type
 Contribution to journal
 publication status
 published
 subject
 keywords
 Surface energy balance, PenmanMonteith equation, Advectionaridity, hypothesis, Boundary layer conductance, Surface conductance, MODIS, Land, surface temperature, FLUXNET, Evapotranspiration
 in
 Remote Sensing of Environment
 volume
 141
 issue
 5
 pages
 243  261
 publisher
 Elsevier
 external identifiers

 wos:000331662600020
 scopus:84889609592
 ISSN
 00344257
 DOI
 10.1016/j.rse.2013.10.022
 language
 English
 LU publication?
 yes
 id
 57ac12d01f074acdaa81cbd120d53c32 (old id 4364122)
 alternative location
 http://www.sciencedirect.com/science/article/pii/S0034425713003908
 date added to LUP
 20160401 10:59:26
 date last changed
 20211010 04:10:55
@article{57ac12d01f074acdaa81cbd120d53c32, abstract = {The use of PenmanMonteith (PM) equation in thermal remote sensing based surface energy balance modeling is not prevalent due to the unavailability of any direct method to integrate thermal data into the PM equation and due to the lack of physical models expressing the surface (or stomatal) and boundary layer conductances (g(S) and g(B)) as a function of surface temperature. Here we demonstrate a new method that physically integrates the radiometric surface temperature (TS) into the PM equation for estimating the terrestrial surface energy balance fluxes (sensible heat, H and latent heat, lambda E). The method combines satellite TS data with standard energy balance closure models in order to derive a hybrid closure that does not require the specification of surface to atmosphere conductance terms. We call this the Surface Temperature Initiated Closure (STIC), which is formed by the simultaneous solution of four state equations. Taking advantage of the psychrometric relationship between temperature and vapor pressure, the present method also estimates the near surface moisture availability (M) from TS, air temperature (TA) and relative humidity (RH), thereby being capable of decomposing lambda E into evaporation (lambda EE) and transpiration (lambda ET). STIC is driven with TS, TA, RH, net radiation (RN), and ground heat flux (G). TS measurements from both MODIS Terra (MOD11A2) and Aqua (MYD11A2) were used in conjunction with FLUXNET RN, G, TA, RH, lambda E and H measurements corresponding to the MODIS equatorial crossing time. The performance of STIC has been evaluated in comparison to the eddy covariance measurements of lambda E and H at 30 sites that cover a broad range of biomes and climates. We found a RMSE of 37.79 (11%) (with MODIS Terra TS) and 44.27 W m(2) (15%) (with MODIS Aqua TS) in lambda E estimates, while the RMSE was 37.74(9%) (with Terra) and 44.72 W m(2) (8%) (with Aqua) in H. STIC could efficiently capture the lambda E dynamics during the dry down period in the semiarid landscapes where lambda E is strongly governed by the subsurface soil moisture and where the majority of other lambda E models generally show poor results. Sensitivity analysis revealed a high sensitivity of both the fluxes to the uncertainties in TS. A realistic response and modest relationship was also found when partitioned lambda E components (lambda EE and lambda ET) were compared to the observed soil moisture and rainfall. This is the first study to report the physical integration of TS into the PM equation and finding analytical solution of the physical (g(B)) and physiological conductances (g(S)). The performance of STIC over diverse biomes and climates points to its potential to benefit future NASA and NOAA missions having thermal sensors, such as HyspIRI, GeoSTAR and GOESR for mapping multiscale lambda E and drought. (C) 2013 Elsevier Inc. All rights reserved.}, author = {Mallick, Kaniska and Jarvis, Andrew J. and Boegh, Eva and Fisher, Joshua B. and Drewry, Darren T. and Tu, Kevin P. and Hook, Simon J. and Hulley, Glynn and Ardö, Jonas and Beringer, Jason and Arain, Altaf and Niyogi, Dev}, issn = {00344257}, language = {eng}, number = {5}, pages = {243261}, publisher = {Elsevier}, series = {Remote Sensing of Environment}, title = {A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes}, url = {http://dx.doi.org/10.1016/j.rse.2013.10.022}, doi = {10.1016/j.rse.2013.10.022}, volume = {141}, year = {2014}, }