Other UNSW

Publication Search Results

Now showing 1 - 10 of 10
  • (2005) Thomas, PS; Gibson, PG; Wang, H; Shah, S; Henry, RL
    Journal Article

  • (2005) Gu, ZH; Wang, H; Thomas, P; Henry, RL; Wang, R
    Journal Article

  • (2005) Cortis, Natasha; Gibson, Christine
    Journal Article
    This article outlines the authors' experience of conducting collaborative research in the child welfare field. The research partnership involves an agency of the Uniting Church, UnitingCare Burnside (Burnside), one of the largest non-government providers of child and family services in NSW, and researchers at the University of Sydney. Facilitated by an Australian Research Council 'Linkage' Grant, the three year collaboration began in early 2002 with the goal of establishing the scope and limits of performance indicators in child and family services.

  • (2005) Zwi, Karen; Henry, RL
    Journal Article

  • (2005) Morton, J; Henry, RL; Thomas, PS; Ratnawati, R.
    Journal Article

  • (2005) Kennedy, SE; Rosenberg, AR; Henry, RL
    Journal Article

  • (2005) Magrabi, F; Lovell, NH; Henry, RL; Celler, BG
    Journal Article

  • (2005) Su, H; McCabe, Matthew Francis; Wood, E.F.; Su, Z; Prueger, J.
    Journal Article
    he Surface Energy Balance System (SEBS) model was developed to estimate land surface fluxes using remotely sensed data and available meteorology. In this study, a dual assessment of SEBS is performed using two independent, high-quality datasets that are collected during the Soil Moisture-Atmosphere Coupling Experiment (SMACEX). The purpose of this comparison is twofold. First, using high-quality local-scale data, model-predicted surface fluxes can be evaluated against in situ observations to determine the accuracy limit at the field scale using SEBS. To accomplish this, SEBS is forced with meteorological data derived from towers distributed throughout the Walnut Creek catchment. Flux measurements from 10 eddy covariance systems positioned on these towers are used to evaluate SEBS over both corn and soybean surfaces. These data allow for an assessment of modeled fluxes during a period of rapid vegetation growth and varied hydrometeorology. Results indicate that SEBS can predict evapotranspiration with accuracies approaching 10%-15% of that of the in situ measurements, effectively capturing the temporal development of surface flux patterns for both corn and soybean, even when the evaporative fraction ranges between 0.50 and 0.90. Second, utilizing high-resolution remote sensing data and operational meteorology, a catchment-scale examination of model performance is undertaken. To extend the field-based assessment of SEBS, information derived from the Landsat Enhanced Thematic Mapper (ETM) and data from the North American Land Data Assimilation System (NLDAS) were combined to determine regional surface energy fluxes for a clear day during the field experiment. Results from this analysis indicate that prediction accuracy was strongly related to crop type, with corn predictions showing improved estimates compared to those of soybean. Although root-mean-square errors were affected by the limited number of samples and one poorly performing soybean site, differences between the mean values of observations and SEBS Landsat-based predictions at the tower sites were approximately 5%. Overall, results from this analysis indicate much potential toward routine prediction of surface heat fluxes using remote sensing data and operational meteorology. © 2005 American Meteorological Society.

  • (2005) Cranney, Jacquelyn; Kofod, Michelle; Huon, Gail; Jensen, Lene; Levin, Kirsty; McAlpine, Iain; Whitaker, Noel
    Conference Paper

  • (2005) Fang, Wenzhong; Jin, Putai; Low, Boon Hong
    Journal Article