ORCID Profile
0000-0002-0114-3260
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Publisher: American Geophysical Union (AGU)
Date: 03-2006
DOI: 10.1029/2005GL025052
Publisher: American Geophysical Union (AGU)
Date: 07-2005
DOI: 10.1029/2004WR003881
Publisher: Springer Science and Business Media LLC
Date: 02-04-2015
Publisher: Informa UK Limited
Date: 12-2003
Publisher: Elsevier BV
Date: 05-1996
Publisher: American Geophysical Union (AGU)
Date: 11-2011
DOI: 10.1029/2011WR010643
Publisher: American Geophysical Union (AGU)
Date: 12-2009
DOI: 10.1029/2009GL040598
Publisher: Wiley
Date: 24-05-2014
DOI: 10.1002/JOC.4041
Publisher: American Geophysical Union (AGU)
Date: 09-2005
DOI: 10.1029/2004WR003845
Publisher: American Geophysical Union (AGU)
Date: 08-2006
DOI: 10.1029/2005WR004672
Publisher: American Geophysical Union (AGU)
Date: 03-2006
DOI: 10.1029/2005WR004376
Publisher: American Geophysical Union (AGU)
Date: 05-2010
DOI: 10.1029/2009WR008328
Publisher: Geological Society of London
Date: 2004
Publisher: American Society of Civil Engineers
Date: 05-2008
Publisher: Elsevier BV
Date: 11-2006
Publisher: American Society of Civil Engineers
Date: 05-2008
Publisher: American Geophysical Union (AGU)
Date: 04-1998
DOI: 10.1029/97WR03041
Publisher: Springer Science and Business Media LLC
Date: 28-02-2001
Publisher: Elsevier BV
Date: 02-2005
Publisher: American Geophysical Union (AGU)
Date: 2003
DOI: 10.1029/2002GL015992
Publisher: American Geophysical Union (AGU)
Date: 03-2006
DOI: 10.1029/2005WR004368
Publisher: American Geophysical Union (AGU)
Date: 10-2004
DOI: 10.1029/2004WR003234
Publisher: Informa UK Limited
Date: 03-2007
Publisher: American Geophysical Union (AGU)
Date: 04-2009
DOI: 10.1029/2008WR006825
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-1999
Publisher: American Society of Civil Engineers
Date: 05-2008
Publisher: American Geophysical Union (AGU)
Date: 05-2010
DOI: 10.1029/2010GL043615
Publisher: IMPERIAL COLLEGE PRESS
Date: 05-02-2014
Publisher: American Geophysical Union (AGU)
Date: 11-2011
DOI: 10.1029/2010WR010034
Publisher: American Geophysical Union (AGU)
Date: 12-1997
DOI: 10.1029/97WR01963
Publisher: American Geophysical Union (AGU)
Date: 09-1999
DOI: 10.1029/1999WR900108
Publisher: Wiley
Date: 20-09-2012
DOI: 10.1002/HYP.9525
Publisher: Wiley
Date: 22-01-2002
DOI: 10.1002/HYP.600
Publisher: Informa UK Limited
Date: 02-2001
Publisher: Informa UK Limited
Date: 10-2001
Publisher: Elsevier BV
Date: 11-2003
Publisher: Wiley
Date: 22-01-2002
DOI: 10.1002/HYP.329
Publisher: Elsevier BV
Date: 03-2006
Publisher: Elsevier BV
Date: 03-2012
Publisher: Copernicus GmbH
Date: 13-10-2005
Abstract: Abstract. Characterising the development of evapotranspiration through time is a difficult task, particularly when utilising remote sensing data, because retrieved information is often spatially dense, but temporally sparse. Techniques to expand these essentially instantaneous measures are not only limited, they are restricted by the general paucity of information describing the spatial distribution and temporal evolution of evaporative patterns. In a novel approach, temporal changes in land surface temperatures, derived from NOAA-AVHRR imagery and a generalised split-window algorithm, are used as a calibration variable in a simple land surface scheme (TOPUP) and combined within the Generalised Likelihood Uncertainty Estimation (GLUE) methodology to provide estimates of areal evapotranspiration at the pixel scale. Such an approach offers an innovative means of transcending the patch or landscape scale of SVAT type models, to spatially distributed estimates of model output. The resulting spatial and temporal patterns of land surface fluxes and surface resistance are used to more fully understand the hydro-ecological trends observed across a study catchment in eastern Australia. The modelling approach is assessed by comparing predicted cumulative evapotranspiration values with surface fluxes determined from Bowen ratio systems and using auxiliary information such as in-situ soil moisture measurements and depth to groundwater to corroborate observed responses.
Publisher: Elsevier BV
Date: 03-2006
Publisher: Wiley
Date: 2008
DOI: 10.1002/JOC.1601
Publisher: Elsevier BV
Date: 07-2006
Publisher: Elsevier BV
Date: 03-2006
Publisher: Wiley
Date: 07-1998
DOI: 10.1002/(SICI)1099-1085(199807)12:9<1507::AID-HYP653>3.0.CO;2-J
Publisher: Elsevier BV
Date: 08-1997
Publisher: CSIRO Publishing
Date: 2004
DOI: 10.1071/WF03034
Abstract: This study investigates the influence that the El Niño/Southern Oscillation (ENSO) and the Inter-decadal Pacific Oscillation (IPO) have on long term daily weather conditions pertinent to high forest fire danger in New South Wales, Australia. Using historical meteorological data for 22 weather stations to compute the daily value of McArthur’s Forest Fire Danger Index (FFDI), it is shown that a strong relationship exists between climate variability, on a range of time scales, and forest fire risk. An investigation into the influence of ENSO on fire risk demonstrates that the proportion of days with a high, or greater than high, fire danger rating is markedly increased during El Niño episodes. More importantly, this study also shows that the already significantly enhanced fire danger associated with El Niño events was even further increased during El Niño events that occurred when the IPO was negative. The potential to use simple indices of climate variability to predict forest fire risk is therefore demonstrated to be significant.
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Stewart Franks.