A5082726122- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Precipitation Measurement and Analysis
- Flood Risk Assessment and Management
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Geophysics and Gravity Measurements
- Remote Sensing in Agriculture
- Climate variability and models
- Urban Heat Island Mitigation
- Atmospheric and Environmental Gas Dynamics
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Hydrology and Drought Analysis
- Water resources management and optimization
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Soil Geostatistics and Mapping
- Soil and Unsaturated Flow
- Geophysical and Geoelectrical Methods
- Mining Techniques and Economics
- Species Distribution and Climate Change
- Calibration and Measurement Techniques
Australian National University
2013-2024
Bureau of Meteorology
2023-2024
CSIRO Land and Water
2009-2018
ACT Government
2009-2017
Commonwealth Scientific and Industrial Research Organisation
2006-2015
King's College London
2013
École Polytechnique Fédérale de Lausanne
2013
Cooperative Research Centre for Tissue Growth and Repair
2006
Curtin University
2003
Abstract. Spatial water resource monitoring systems (SWRMS) can provide valuable information in support of management, but current operational are few and only a subset the required. Necessary innovations include explicit description redistribution use from river groundwater systems, achieving greater spatial detail (particularly key features such as irrigated areas wetlands), improving accuracy assessed against hydrometric observations, well assimilating those observations. The Australian...
Abstract. We present a global water cycle reanalysis that merges balance estimates derived from the Gravity Recovery And Climate Experiment (GRACE) satellite mission, level altimetry and off-line several hydrological models. Error for sequential data assimilation scheme were available uncertainty information triple collocation technique. Errors in four GRACE storage products estimated to be 11–12 mm over land areas, while errors monthly changes five models 17–28 mm. Prior posterior evaluated...
Abstract The accuracy of global water balance estimates is limited by the lack observations at large scale and uncertainties model simulations. Global retrievals terrestrial storage (TWS) change soil moisture (SM) from satellites provide an opportunity to improve through data assimilation. However, combining these two sets challenging due disparity in temporal spatial resolution both vertical horizontal scale. For first time, TWS Gravity Recovery Climate Experiment (GRACE) near‐surface SM...
Abstract. Many thousands of large dam reservoirs have been constructed worldwide during the last 70 years to increase reliable water supplies and support economic growth. Because reservoir storage measurements are generally not publicly available, so far there has no global assessment long-term dynamic changes in volumes. We overcame this by using optical (Landsat) altimetry remote sensing reconstruct monthly for 6695 between 1984 2015. relate resilience vulnerability investigate...
Abstract. Measuring the spatiotemporal dynamics of lake and reservoir water storage is fundamental for assessing influence climate variability anthropogenic activities on quantity quality. Previous studies estimated relative volume changes lakes where both satellite-derived extent radar altimetry data are available. This approach limited to only a few hundred worldwide cannot estimate absolute (i.e. total volume) storage. We increased number measured by factor 300 using high-resolution...
We describe results of a project known as OptIC (Optimisation InterComparison) for comparison parameter estimation methods in terrestrial biogeochemical models. A highly simplified test model was used to generate pseudo‐data which noise with different characteristics added. Participants the were asked estimate parameters this data, and predict variables into future. Ten participants contributed using one following methods: Levenberg‐Marquardt, adjoint, Kalman filter, Markov chain Monte Carlo...
Abstract Precipitation estimates from reanalyses and satellite observations are routinely used in hydrologic applications, but their accuracy is seldom systematically evaluated. This study high-resolution gauge-only daily precipitation analyses for Australia (SILO) South East Asia [Asian Precipitation—Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE)] to calculate the detection metrics three [ECMWF Re-Analysis Interim (ERA-Interim), Japanese 25-yr Reanalysis...
Abstract Dryland ecosystems are characterised by rainfall variability and strong vegetation response to changes in water availability over a range of timescales. Forecasting dryland condition can be great value planning agricultural decisions, drought relief, land management fire preparedness. At monthly seasonal time scales, knowledge stored the system contributes more predictability than climate state. However, realising forecast skill requires vertical distribution moisture below surface...
Abstract. The lack of direct measurement root-zone soil moisture poses a challenge to the large-scale prediction ecosystem response variation in water. Microwave remote sensing capability is limited measuring content uppermost few centimetres soil. GRACE (Gravity Recovery and Climate Experiment) mission detected variability storage within total water column. However, cannot be separated from GRACE-observed anomalies without ancillary information on surface groundwater changes. In this study,...
Fine spatial resolution (i.e., ≤ 100 m) land surface temperature (LST) data are crucial to study heterogeneous landscapes (e.g., agricultural and urban). Some well-known spatiotemporal fusion methods like the Spatial Temporal Adaptive Reflectance Fusion Model (STARFM) Enhanced STARFM (ESTARFM), which were originally developed fuse reflectance data, may not be suitable for direct application in LST studies due high sub-diurnal dynamics of LST. Furthermore, effectiveness has been thoroughly...
The geostationary Himawari-8 satellite offers a unique opportunity to monitor sub-daily thermal dynamics over Asia and Oceania, several operational land surface temperature (LST) retrieval algorithms have been developed for this purpose. However, studies reported inconsistency between LST data obtained from polar-orbiting platforms, particularly daytime LST, which can arise variations in viewing geometries inherent differences sensor types algorithms. Despite this, previous research has...
Terrestrial water storage (TWS) estimates retrieved from the Gravity Recovery and Climate Experiment (GRACE) satellite mission were compared to TWS modeled by Australian Water Resources Assessment (AWRA) system. The aim was test whether differences could be attributed used identify model deficiencies. Data for 2003–2010 decomposed into seasonal cycle, linear trends remaining de‐trended anomalies before comparing. AWRA tended have smaller amplitude than GRACE. GRACE showed a strong (>15 mm...
Abstract. The coarse spatial resolution of global hydrological models (typically > 0.25°) limits their ability to resolve key water balance processes for many river basins and thus compromises suitability resources management, especially when compared locally tuned models. A possible solution the problem may be drive coarse-resolution with available high-spatial-resolution meteorological data as well assimilate ground-based remotely sensed observations cycle variables. While this would...
Abstract. A portion of globally generated surface and groundwater resources evaporates from wetlands, waterbodies irrigated areas. This secondary evaporation “blue” water directly affects the remaining available for ecosystems human use. At global scale, a lack detailed balance studies direct observations limits our understanding magnitude spatial temporal distribution evaporation. Here, we propose methodology to assimilate satellite-derived information into landscape hydrological model W3...