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Jupyter notebook markdown generator

Posts

Machine Learning from StatQuest

less than 1 minute read

Published: November 26, 2020

Linear Algebra from AngeloYeo

less than 1 minute read

Published: November 26, 2020

portfolio

Improvement of satellite data

This project aims to improve satellite (not limited to) data. The method that we are currently developing is merging multiple datasets derived from various sources

Evaluation of satellite data

This project aims to evaluate various satellite data for further improvement and/or applications.

Application of satellite data

This project aims to apply and analyze satellite (not limited to) data.

software

POST: Parameter Optimization and Simulation Toolkit for Flood Warning

MATLAB codes for optimizing model parameters and simulating floods (Kim et al.,2018)

Dynamic Linear Combination

MATLAB codes for dynamic linear combination of soil moisture datasets (Kim et al.,2016)

SNR-opt

MATLAB codes for SNR-opt for merging datasets (Kim et al.,2022)

talks

Improvement of Soil Moisture Dataset Combining AMSR2 Soil Moisture Products

Published: October 28, 2014

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

Reducing Structural Uncertainty in AMSR2 Soil Moisture Using a Model Combination Approach

Published: December 15, 2014

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

A temporal correlation based approach for spatial disaggregation of remotely sensed soil moisture

Published: December 12, 2016

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

Incorporating an operational satellite-derived leaf area index into a computationally efficient semi-distributed hydrologic modelling application (SMART)

Published: December 03, 2017

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

[Invited] On soil moisture, rain and flood extremes in a warming climate - using satellite remote sensing to define future antecedent conditions

Published: June 18, 2018

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

teaching

Catchment & Water Resources Modelling

Masters course (CVEN9612), School of Civil and Environmental Engineering, UNSW Sydney, 2020

Teaching period: 2020 (T3), 2019(T3), 2018(S2), 2017(S2)
Position: Post-Doctoral Teaching Assistant
Role: Teaching, coordinating and consulting
Number of students: 21~45
Course Profile (T3, 2020)

Water Resources Engineering

Undergraduate course (CVEN3501), School of Civil and Environmental Engineering, UNSW Sydney, 2020

Teaching period: 2020(T1), 2019(T1)
Position: Post-Doctoral Teaching Assistant
Role: Teaching, coordinating and consulting
Number of students: 452~610
Course Profile (T1, 2020)

Seokhyeon Kim