How does total precipitable water link to precipitation extremes?
Kim S., Sharma A., Wasko C., Nathan R. How does total precipitable water link to precipitation extremes?, MODSIM 2021, Sydney, Australia Link
Talks and presentations
Improvements of satellite observations through data merging: status and challenges
Kim S., Zhang R., Sharma A., Lakshmi V. Improvements of satellite observations through data merging: status and challenges, AGU Fall Meeting 2020, Online Link Download
Combining geophysical variables for maximizing temporal correlation without reference data
Kim S., Pham H., Liu Y., Sharma A., Marshall L. Combining geophysical variables for maximizing temporal correlation without reference data, The 23rd International Congress on Modelling and Simulation (MODSIM2019), Canberra, Australia Link Download
[Invited] On soil moisture, rain and flood extremes in a warming climate - using satellite remote sensing to define future antecedent conditions
Kim S., Guo Y., Wasko C., Sharma A. On soil moisture, rain and flood extremes in a warming climate - using satellite remote sensing to define future antecedent conditions, The Korean Society of Climate Change Research (KSCC) 2018, Jeju, Republic of Korea Link Download
Incorporating an operational satellite-derived leaf area index into a computationally efficient semi-distributed hydrologic modelling application (SMART)
Kim S., Ajami H., Sharma A. Incorporating an operational satellite-derived leaf area index into a computationally efficient semi-distributed hydrologic modelling application (SMART), The 22nd International Congress on Modelling and Simulation (MODSIM2017), Hobart, Australia Link Download
A temporal correlation based approach for spatial disaggregation of remotely sensed soil moisture
Kim S., Liu Y., Johnson F., Sharma A. A temporal correlation-based approach for spatial disaggregation of remotely sensed soil moisture, American Geophysical Union (AGU) fall meeting 2016, San Francisco, CA, USA Link Download
Reducing Structural Uncertainty in AMSR2 Soil Moisture Using a Model Combination Approach
S. Kim, Y. Liu, F. Johnson, R. Parinussa, A. Sharma. Reducing Structural Uncertainty in AMSR2 Soil Moisture Using a Model Combination Approach, American Geophysical Union (AGU) fall meeting 2014, San Francisco, CA, USA Link Download
Improvement of Soil Moisture Dataset Combining AMSR2 Soil Moisture Products
Kim S., Liu Y., Johnson F., Parinussa R., Sharma A. Improvement of Soil Moisture Dataset Combining AMSR2 Soil Moisture Products, The Australian Energy and Water Exchange Initiative (OzEWEX) 2014, Canberra, ACT, Australia Link Download