https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55181 Wed 24 Apr 2024 09:41:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:16698 Wed 11 Apr 2018 15:13:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43459 2) is used to run the simulations. Further, we compared and contrasted the runoff generated at the outlet by grid-wise simulations, basin averaged simulation, and simulations from ensemble rainfall as input with the observed streamflow. The results show that the grid-wise streamflow generation are comparatively better in capturing the peak flow events in the Macleay Basin and sub-basins than the basin-wise streamflow output probably due to the use of the same parameter throughout the simulations, lower averaged streamflow at each sub-basins, and more amount of overall losses at the basin scale. The observed peak flow is within the range of streamflow simulated using ensemble rainfall for all the basins. The application of interest to this study is the use of ensemble precipitation forecasts to generate ensemble streamflow forecasts. This study shows that the rainfall-runoff modelling with ensemble precipitation inputs can considerably reduce the amount of uncertainty in simulation results, particularly in data-spar]]> Tue 20 Sep 2022 08:14:18 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45944 Tue 08 Nov 2022 10:07:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43845 Tue 04 Oct 2022 11:53:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2429 Thu 20 Oct 2022 09:41:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35254 Thu 04 Jul 2019 14:24:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:8916 Sat 24 Mar 2018 08:38:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:11485 Sat 24 Mar 2018 08:10:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6095 Sat 24 Mar 2018 07:44:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22843 Eucalyptus regnans and E. delegatensis stands, correlated strongly with forest overstorey stocking density (R² 0.72). This curvilinear relationship was used with routine forest stocking density and basal area measurements to estimate sapwood area of the forest overstorey at various times in 15 research catchments in undisturbed and disturbed forests located in the Great Dividing Range, Victoria, Australia. Up to 45 years of annual precipitation and streamflow data available from the 15 catchments were used to examine relationships between mean annual loss (evapotranspiration estimated as mean annual precipitation minus mean annual streamflow), and sapwood area. Catchment mean sapwood area correlated strongly (R² 0.88) with catchment mean annual loss. Variation in sapwood area accounted for 68% more variation in mean annual streamflow than precipitation alone (R² 0.90 compared with R² 0.22). Changes in sapwood area accounted for 96% of the changes in mean annual loss observed after forest thinning or clear-cutting and regeneration. We conclude that forest inventory data can be used reliably to predict spatial and temporal variation in catchment annual losses and streamflow in response to natural and imposed disturbances in even-aged forests. Consequently, recent advances in mapping of sapwood area using airborne light detection and ranging will enable high resolution spatial and temporal mapping of mean annual loss and mean annual streamflow over large areas of forested catchment. This will be particularly beneficial in management of water resources from forested catchments subject to disturbance but lacking reliable long-term (years to decades) streamflow records.]]> Sat 24 Mar 2018 07:16:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52128 Mon 29 Jan 2024 18:39:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32456 Mon 23 Sep 2019 12:46:33 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41273 Mon 01 Aug 2022 09:56:26 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42210 2 remote study area, a rainfall interpolation procedure using available rainfall data and information on terrain was integrated into a new seasonal streamflow model, called ABCF, which uses catchment sapwood area (SA) as the emergent property that equilibrates with potential evapotranspiration (PET), and a soil storage threshold that reduces AET below PET when soil water is limiting. We produce seasonal estimates of streamflow with Nash Sutcliffe efficiencies of 0.85, 0.87, and 0.91 for three major catchments within the study area. A fundamental feature of the "top-down" model approach is the use of LiDAR data and forest inventory data to model forest structural properties that relate strongly with SA. Building on our previous work with this modelling framework, our representation of eco-hydrological properties of the forest has been refined with a more accurate procedure for estimating stand mean sapwood thickness, and hence SA, and a remotely sensed tree stocking density (N) of old-growth forests to correct the temporal evolution of N as a means to improve SA estimates. Regional consistency of model parameters shows that the "top-down" modelling framework may be used to estimate streamflow in ungauged catchments using a forest growth model. The seasonal model generalised for both water-limited and water-unlimited forest conditions has significant potential for application in water supply planning and drought security.]]> Fri 26 Aug 2022 09:29:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55140 Fri 12 Apr 2024 18:03:21 AEST ]]>