Local, Regional and Global Scale Monitoring of Land Surface Heat Fluxes

Evapotranspiration Modelling and Observation

Details

The HALO Group undertake cutting edge research in both the measurement and modelling of evapotranspiration. These activities range from determining the irrigation water requirements (and use) of agricultural fields to describing the global scale distribution and pattern of latent and sensible heat fluxes. We use a range of modelling and measurement approaches to do this, further details of which are provided in some of the links below:
  • Scale issues in remote sensing of evaporation:​ understanding how heat fluxes scale in space (and time) is a considerable challenge - especially when undertaking retreivals via satellite based sensors. With a wide range of possible sensors and systems available from which to derive heat fluxes (see Kalma et al, 2008 for a comprehsive review), determining the consistency and variabilty between them is of much interest. Following earlier work of McCabe et al. (2006) on "Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors", Mr Ali Ershadi has recently published an extensive examination of scale issues in flux retrieval using a time-series of high resolution LandSat data, finding that there are important consequences with both the resolution at which fluxes are retrieved and also the importance of the aggregation/disaggregation technique. Further details on this work can be found in Ershadi et al. (2013) Effects of spatial aggregation on the multi-scale estimation of evapotranspiration” in Remote Sensing of Environment. 
 
Relevant Publications
  1. Ershadi A, McCabe MF, Evans JP, Mariethoz G and Kavetski D (2013) “A Bayesian analysis of sensible heat flux estimation: quantifying uncertainty in meteorological forcing to improve model prediction”, Water Resources Research (in press) 
  2. Ershadi A, McCabe MF, Evans JP, Walker JP (2013) “Effects of spatial aggregation on the multi-scale estimation of evapotranspiration” Remote Sensing of Environment 131, 51-62
  3. Jimenez and others (2011), "Global intercomparison of 12 land surface heat flux estimates" Journal of Geophysical Research, 116(2), No. D02012
  4. Mueller and others (2011), "Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations", Geophysical Research Letters, vol. 38, no. 6, pp. L06402, 
  5. Kalma JD, McVicar TR and McCabe MF (2008), "Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data", Surveys in Geophysics, vol. 29, no. 4-5, pp. 421 - 469
  6. McCabe MF and Wood EF (2006), "Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors​", Remote Sensing of Environment, vol. 105, no. 4, pp. 271 - 285
  7. Su H, McCabe MF, Wood EF, Su Z and Prueger J (2005) "Modeling evapotranspiration during SMACEX: Comparing two approaches for local- and regional-scale prediction", Journal of Hydrometeorology, vol. 6, no. 6, pp. 910 - 922
  8. French A and others (2005) "Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA)", Remote Sensing of Environment, vol. 99, no. 1-2, pp. 55 - 65,
  9. McCabe MF, Kalma JD and Franks S (2005) "Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework​", Hydrology and Earth System Sciences, vol. 9, no. 5, pp. 467 - 480