Select Publications
Journal articles
2018, 'A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data', Remote Sensing of Environment, 210, pp. 229 - 241, http://dx.doi.org/10.1016/j.rse.2018.03.026
,2018, 'A software toolkit for correcting systematic biases in climate model simulations', Environmental Modelling and Software, 104, pp. 130 - 152, http://dx.doi.org/10.1016/j.envsoft.2018.02.010
,2018, 'Deriving daily water levels from satellite altimetry and land surface temperature for sparsely gauged catchments: A case study for the Mekong River', Remote Sensing of Environment, 212, pp. 31 - 46, http://dx.doi.org/10.1016/j.rse.2018.04.034
,2018, 'Can Regional Climate Modeling Capture the Observed Changes in Spatial Organization of Extreme Storms at Higher Temperatures?', Geophysical Research Letters, 45, pp. 4475 - 4484, http://dx.doi.org/10.1029/2018GL077716
,2018, 'A comprehensive continent-wide regionalisation investigation for daily design rainfall', Journal of Hydrology: Regional Studies, 16, pp. 67 - 79, http://dx.doi.org/10.1016/j.ejrh.2018.03.001
,2018, 'Building a Flood-Warning Framework for Ungauged Locations Using Low Resolution, Open-Access Remotely Sensed Surface Soil Moisture, Precipitation, Soil, and Topographic Information', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, pp. 375 - 387, http://dx.doi.org/10.1109/JSTARS.2018.2790409
,2018, 'Addressing Spatial Dependence Bias in Climate Model Simulations—An Independent Component Analysis Approach', Water Resources Research, 54, pp. 827 - 841, http://dx.doi.org/10.1002/2017WR021293
,2018, 'Addressing the mischaracterization of extreme rainfall in regional climate model simulations – A synoptic pattern based bias correction approach', Journal of Hydrology, 556, pp. 901 - 912, http://dx.doi.org/10.1016/j.jhydrol.2016.04.070
,2017, 'A comparison of methods to estimate future sub-daily design rainfall', Advances in Water Resources, 110, pp. 215 - 227, http://dx.doi.org/10.1016/j.advwatres.2017.10.020
,2017, 'How reliable are GCM simulations for different atmospheric variables?', Climatic Change, 145, pp. 237 - 248, http://dx.doi.org/10.1007/s10584-017-2086-x
,2017, 'Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products', IEEE Geoscience and Remote Sensing Letters, 14, pp. 1604 - 1608, http://dx.doi.org/10.1109/LGRS.2017.2725945
,2017, 'A rank-based approach for correcting systematic biases in spatial disaggregation of coarse-scale climate simulations', Journal of Hydrology, 550, pp. 716 - 725, http://dx.doi.org/10.1016/j.jhydrol.2017.05.045
,2017, 'Assessing the extent of non-stationary biases in GCMs', Journal of Hydrology, 549, pp. 148 - 162, http://dx.doi.org/10.1016/j.jhydrol.2017.03.045
,2017, 'Using second-order approximation to incorporate GCM uncertainty in climate change impact assessments', Climatic Change, 142, pp. 37 - 52, http://dx.doi.org/10.1007/s10584-017-1944-x
,2017, 'A comparison of methods for estimating climate change impact on design rainfall using a high-resolution RCM', Journal of Hydrology, 547, pp. 413 - 427, http://dx.doi.org/10.1016/j.jhydrol.2017.02.019
,2016, 'Improving radar rainfall estimation by merging point rainfall measurements within a model combination framework', Advances in Water Resources, 97, pp. 205 - 218, http://dx.doi.org/10.1016/j.advwatres.2016.09.011
,2016, 'Natural hazards in Australia: droughts', Climatic Change, 139, pp. 37 - 54, http://dx.doi.org/10.1007/s10584-016-1798-7
,2016, 'Natural hazards in Australia: floods', Climatic Change, 139, pp. 21 - 35, http://dx.doi.org/10.1007/s10584-016-1689-y
,2016, 'Merging radar and in situ rainfall measurements: An assessment of different combination algorithms', Water Resources Research, 52, pp. 8384 - 8398, http://dx.doi.org/10.1002/2015WR018441
,2016, 'Merging alternate remotely-sensed soil moisture retrievals using a non-static model combination approach', Remote Sensing, 8, pp. 518, http://dx.doi.org/10.3390/rs8060518
,2016, 'Water resources climate change projections using supervised nonlinear and multivariate soft computing techniques', Journal of Hydrology, 536, pp. 119 - 132, http://dx.doi.org/10.1016/j.jhydrol.2016.02.040
,2016, 'A new framework for monitoring flood inundation using readily available satellite data', Geophysical Research Letters, 43, pp. 2599 - 2605, http://dx.doi.org/10.1002/2016GL068192
,2016, 'Topographic relationships for design rainfalls over Australia', Journal of Hydrology, 533, pp. 439 - 451, http://dx.doi.org/10.1016/j.jhydrol.2015.12.035
,2016, 'Comparing and combining remotely sensed land surface temperature products for improved hydrological applications', Remote Sensing, 8, pp. 162, http://dx.doi.org/10.3390/rs8020162
,2016, 'Quantifying the sources of uncertainty in upper air climate variables', Journal of Geophysical Research, 121, pp. 3859 - 3874, http://dx.doi.org/10.1002/2015JD024341
,2015, 'Does storm duration modulate the extreme precipitation-temperature scaling relationship?', Geophysical Research Letters, 42, pp. 8783 - 8790, http://dx.doi.org/10.1002/2015GL066274
,2015, 'Evaluating the effect of climate change on areal reduction factors using regional climate model projections', Journal of Hydrology, 528, pp. 419 - 434, http://dx.doi.org/10.1016/j.jhydrol.2015.06.067
,2015, 'A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation', Geophysical Research Letters, 42, pp. 6662 - 6670, http://dx.doi.org/10.1002/2015GL064981
,2015, 'Comparing three methods to form regions for design rainfall statistics: Two case studies in Australia', Journal of Hydrology, 527, pp. 62 - 76, http://dx.doi.org/10.1016/j.jhydrol.2015.04.043
,2015, 'What are the impacts of bias correction on future drought projections?', Journal of Hydrology, 525, pp. 472 - 485, http://dx.doi.org/10.1016/j.jhydrol.2015.04.002
,2015, 'A global comparison of alternate AMSR2 soil moisture products: Why do they differ?', Remote Sensing of Environment, 161, pp. 43 - 62, http://dx.doi.org/10.1016/j.rse.2015.02.002
,2014, 'Correcting bias in radar Z-R relationships due to uncertainty in point rain gauge networks', Journal of Hydrology, 519, pp. 1668 - 1676, http://dx.doi.org/10.1016/j.jhydrol.2014.09.060
,2014, 'Future changes to the intensity and frequency of short-duration extreme rainfall', Reviews of Geophysics, 52, pp. 522 - 555, http://dx.doi.org/10.1002/2014RG000464
,2013, 'How well do GCMs represent low-frequency rainfall variability?', Water Resources Research, 50, pp. 2108 - 2123, http://dx.doi.org/10.1002/2012WR013085
,2012, 'A nesting model for bias correction of variability at multiple time scales in general circulation model precipitation simulations', Water Resources Research, 48, pp. Article number: W01504, http://dx.doi.org/10.1029/2011WR010464
,2011, 'Accounting for interannual variability: A comparison of options for water resources climate change impact assessments', Water Resources Research, 47, pp. Article no: W04508, http://dx.doi.org/10.1029/2010WR009272
,2011, 'An Assessment of GCM Skill in Simulating Persistence across Multiple Time Scales', Journal of Climate, 24, pp. 3609 - 3623, http://dx.doi.org/10.1175/2011JCLI3732.1
,2010, 'A comparison of Australian open water body evaporation trends for current and future climates estimated from Class A evaporation pans and general circulation models', Journal of Hydrometeorology, 11, pp. 105 - 121, http://dx.doi.org/10.1175/2009JHM1158.1
,2009, 'Measurement of GCM skill in predicting variables relevant for hydroclimatological assessments', Journal of Climate, 22, pp. 4373 - 4382, http://dx.doi.org/10.1175/2009jcli2681.1
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