Download CV (Eng, Kor)

Education

Ph.D. (Water Resources Engineering and Remote Sensing of Environment), Jul 2013–Nov 2017
- School of Civil and Environmental Engineering, UNSW Sydney, NSW, Australia
- Thesis: Improvements and applications of satellite-derived soil moisture for flood forecasting (Download)
- Supervisors: Ashish Sharma, Fiona Johnson, Yi Liu
M.Eng. (Water Resources Engineering), Mar 2006–Feb 2008
- School of Civil and Environmental Engineering, Korea University, Seoul, Republic of Korea
- Thesis: Study for Improving Water Distribution System Reliability (Download)
- Supervisor: Joong Hoon Kim
B.Eng. (Civil and Environmental Engineering), Mar 1997–Feb 2001
- School of Civil and Environmental Engineering, Korea University, Seoul, Republic of Korea

Professional Appointments

Associate Manager, Water resources engineering in HDEC, Seoul, Republic of Korea, Jan 2008–Jul 2013

Military services (compulsory)

Platoon leader & intelligence officer (1st lieutenant), Republic of Korea Army, Jul 2001–Sept 2004

Publications

Evaluation of the reliability improvement of a water distribution system by changing pipe

Jun, H. D., Kim, S. H., Yoo, D. G., & Kim, J. H. (2009). Evaluation of the reliability improvement of a water distribution system by changing pipe. Journal of Korea Water Resources Association, 42(6), 505-511.

Use of single layer concrete armour units as toe reinforcement

Young, M., Hayman-Joyce, J., & Kim, S. H. (2012). Use of single layer concrete armour units as toe reinforcement. In Proceeding of International Conference on Coastal Engineering (pp. 48-59).

A global comparison of alternate AMSR2 soil moisture products: Why do they differ?

Kim, S., Liu, Y. Y., Johnson, F. M., Parinussa, R. M., & Sharma, A. (2015). A global comparison of alternate AMSR2 soil moisture products: Why do they differ?. Remote Sensing of Environment, 161, 43-62.

A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation

Kim, S., Parinussa, R. M., Liu, Y. Y., Johnson, F. M., & Sharma, A. (2015). A framework for combining multiple soil moisture retrievals based on maximizing temporal correlation. Geophysical Research Letters, 42(16), 6662-6670.

Merging alternate remotely-sensed soil moisture retrievals using a non-static model combination approach

Kim, S., Parinussa, R. M., Liu, Y. Y., Johnson, F. M., & Sharma, A. (2016). Merging alternate remotely-sensed soil moisture retrievals using a non-static model combination approach. Remote Sensing, 8(6), 518.

Assessment of Design Alternation via 2D Physical Modelling in the Main Breakwater of Colombo Port Expansion Project

Silva, A., Subasinghe, K., Rajapaksha, C., Raveenthiran, K., Kim, S. H., Young, M., ... & Araki, S. (2016). Assessment of Design Alternation via 2D Physical Modelling in the Main Breakwater of Colombo Port Expansion Project. Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), 72(2), I_1129-I_1134.

Spatial disaggregation of coarse soil moisture data by using high-resolution remotely sensed vegetation products

Kim, S., Balakrishnan, K., Liu, Y., Johnson, F., & Sharma, A. (2017). Spatial disaggregation of coarse soil moisture data by using high-resolution remotely sensed vegetation products. IEEE Geoscience and Remote Sensing Letters, 14(9), 1604-1608.

Building a flood-warning framework for ungauged locations using low resolution, open-access remotely sensed surface soil moisture, precipitation, soil, and topographic information

Kim, S., Paik, K., Johnson, F. M., & Sharma, A. (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(2), 375-387.

Catchment scale simulations of soil moisture dynamics using an equivalent cross-section based hydrological modelling approach

Khan, U., Ajami, H., Tuteja, N. K., Sharma, A., & Kim, S. (2018). Catchment scale simulations of soil moisture dynamics using an equivalent cross-section based hydrological modelling approach. Journal of Hydrology, 564, 944-966.

The role of floodplain topography in deriving basin discharge using passive microwave remote sensing

Kim, S., & Sharma, A. (2019). The role of floodplain topography in deriving basin discharge using passive microwave remote sensing. Water Resources Research, 55(2), 1707-1716.

A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes

Zhang, R., Kim, S., & Sharma, A. (2019). A comprehensive validation of the SMAP Enhanced Level-3 Soil Moisture product using ground measurements over varied climates and landscapes. Remote Sensing of Environment, 223, 82-94.

A framework for improving reliability of water distribution systems based on a segment-based minimum cut-set approach

Kim, S., Jun, H. D., Yoo, D. G., & Kim, J. H. (2019). A framework for improving reliability of water distribution systems based on a segment-based minimum cut-set approach. Water, 11(7), 1524.

Using 3D robust smoothing to fill land surface temperature gaps at the continental scale

Pham, H. T., Kim, S., Marshall, L., & Johnson, F. (2019). Using 3D robust smoothing to fill land surface temperature gaps at the continental scale. International Journal of Applied Earth Observation and Geoinformation, 82, 101879.

A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation

Kim, S., Zhang, R., Pham, H., & Sharma, A. (2019). A Review of Satellite-Derived Soil Moisture and Its Usage for Flood Estimation. Remote Sensing in Earth Systems Sciences, 2(4), 225-246.

Using particle composition of fly ash to predict concrete strength and electrical resistivity

Kim, T., Ley, M. T., Kang, S., Davis, J. M., Kim, S., & Amrollahi, P. (2020). Using particle composition of fly ash to predict concrete strength and electrical resistivity. Cement and Concrete Composites, 107, 103493.

Predicting cyanobacteria occurrence using climatological and environmental controls

Kim, S., Kim, S., Mehrotra, R., & Sharma, A. (2020). Predicting cyanobacteria occurrence using climatological and environmental controls. Water Research, 115639.

Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data Merging

Hagan, D.F.T., Wang, G., Kim, S., Parinussa, R.M., Liu, Y., Ullah, W., Bhatti, A.S., Ma, X., Jiang, T. and Su, B., 2020. Maximizing temporal correlations in long-term global satellite soil moisture data-merging. Remote Sensing, 12(13), 2164.

Quantification of uncertainty in projections of extreme daily precipitation

Kim, S., Eghdamirad, S., Sharma, A., & Kim, J. H. (2020). Quantification of uncertainty in projections of extreme daily precipitation. Earth and Space Science, 7(8), e2019EA001052.

Quantifying natural organic matter concentration in water from climatological parameters using different machine learning algorithms

Moradi, S., Agostino, A., Gandomkar, Z., Kim, S., Hamilton, L., Sharma, A., Henderson, R. and Leslie, G., 2020. Quantifying natural organic matter concentration in water from climatological parameters using different machine learning algorithms. h2oj, 3(1), 328-342.

Impact of atmospheric circulation on the rainfall-temperature relationship in Australia

Magan, B., Kim, S., Wasko, C., Barbero, R., Moron, V., Nathan, R., & Sharma, A. (2020). Impact of atmospheric circulation on the rainfall-temperature relationship in Australia. Environmental Research Letters, 15(9), 094098.

Using remotely sensed information to improve vegetation parameterization in a semi-distributed hydrological model (SMART) for upland catchments in Australia

Kim, S., Ajami, H., & Sharma, A. (2020). Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia. Remote Sensing, 12(18), 3051.

Improving the combination of satellite soil moisture datasets by considering error cross-correlation: A comparison between triple collocation (TC) and extended double instrumental variable (EIVD) alternatives

Kim, S., Pham, H., Liu Y., Marshall L. & Sharma, A. (2020). Improving the combination of satellite soil moisture datasets by considering error cross-correlation: A comparison between triple collocation (TC) and extended double instrumental variable (EIVD) alternatives. ,IEEE Transactions on Geoscience and Remote Sensing, 59(9), 7285-7295

Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability using a model combination approach

Zhang, R., Kim, S., Sharma, A., & Lakshmi, V. (2021). Identifying relative strengths of SMAP, SMOS-IC, and ASCAT to capture temporal variability. Remote Sensing of Environment, 252, 112126.

An Assessment of Concurrency in Evapotranspiration Trends Across Multiple Global Datasets

Kim, S., Anabalon, A., & Sharma, A. (2021). An Assessment of Concurrency in Evapotranspiration Trends Across Multiple Global Datasets. ,Journal of Hydrometeorology, 22(1), 231-244.

Probabilistic forecasting of Cyanobacterial concentration in riverine systems using environmental drivers

Kim, S., Mehrotra, R., Kim, S., & Sharma, A. (2021). Probabilistic forecasting of cyanobacterial concentration in riverine systems using environmental drivers. Journal of Hydrology, 593, 125626.

Assessing countermeasure effectiveness in controlling cyanobacterial exceedance in riverine systems using probabilistic forecasting alternatives

Kim S., Mehrotra R., Kim S., Sharma A. (2021). Assessing countermeasure effectiveness in controlling cyanobacterial exceedance in riverine systems using probabilistic forecasting alternatives, Journal of Water Resources Planning and Management, 147(10), 04021062

A triple collocation-based comparison of three L-band soil moisture datasets, SMAP, SMOS-IC, and SMOS, over varied climates and land covers

Kim S., Dong J., Sharma A. (2021). A triple collocation-based comparison of three L-band soil moisture datasets, SMAP, SMOS-IC, and SMOS, over varied climates and land covers, Frontiers in Water, 3, 64

Linking total precipitable water to precipitation extremes globally

Kim S., Sharma A., Wasko C., Nathan R. (2022). Linking total precipitable water to precipitation extremes globally, Earth’s Future, 10(2), e2021EF002473

Bayesian model calibration using surrogate streamflow in ungauged catchments

Yoon, H.N., Marshall, L., Sharma, A., Kim, S. (2022), Bayesian model calibration using surrogate streamflow in ungauged catchments, Water Resources Research, 58(1), e2021WR031287

Rethinking Satellite Data Merging: From Averaging to SNR Optimization

Kim, S., Sharma, A., Liu, Y., Young S.I. (2022). Rethinking Satellite Data Merging: From Averaging to SNR Optimization, IEEE Transactions on Geoscience and Remote Sensing, 60, 1-15

Development of Car-free Street Mapping (CfSM) Model using an Integrated System with Unmanned Aerial Vehicle, Aerial Mapping Camera and Deep Learning Algorithm

Lee, S., Kim, S., Moonb, S. (2022). Lee, S., Kim S., and Moon S., Development of Car-free Street Mapping (CfSM) Model using an Integrated System with Unmanned Aerial Vehicle, Aerial Mapping Camera and Deep Learning Algorithm, Journal of Computing in Civil Engineering, 36(3), 04022003

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

December 03, 2017

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

June 18, 2018

Awards & Scholarship

Early Career Research Excellence (ECRE) Award: MSSANZ, 2021
UNSW Early Career Academic Seed grants (AUD 1,000): UNSW Sydney, 2021
UNSW Strategic Research Fund (AUD 4,000): UNSW Sydney, 2021
UNSW Postgraduate Writing Fellowship (AUD 6,500): UNSW Sydney, May 2017–Aug 2017
Tuition Fee, Stipend and Top-up Scholarship: UNSW Sydney, Jul 2013–Jan 2017
Scholarships from Administrative Assistant, GS E&C Corp., and NRKF BK 21: Korea University, 2006–2007

Certification

Professional Engineer Skill Level 1 Civil Engineer: Engineers Australia, Apr 2018
Engineer Civil Engineering: Human Resources Development Service of Korea, Oct 2000

Languages

Korean (mother tongue), English (fluent)

Skills & Expertise

Hydrology and water resources engineering, remote sensing, MATLAB, Python, ArcGIS/QGIS

Research Experience

Research Associate, UNSW, Sydney, Australia, Apr 2017–Feb 2022
- Applications of environmental data (satellite, reanalysis, ground)
Ph.D. Student, UNSW, Sydney, Australia, Jul. 2013–Mar 2017
- Improvements and applications of satellite-derived data
Master Student, Korea University, Seoul, Republic of Korea, Mar 2006–Feb 2008
- Improving water system reliability

Teaching Experiences

Post-Doctoral Teaching Assistant, UNSW Sydney, Australia, Jul 2017–Mar 2020
- Teaching, coordinating and consulting for Catchment and Water Resources Modelling (PG), Water Resources Engineering (UG)
- Academic supervision of masters/honours students
Teaching Assistant, UNSW Sydney, Australia, Jul 2013–Mar 2017
Teaching Assistant, Korea University, Seoul, Republic of Korea, Mar 2006–Feb 2008

Professional activities

Reviewer for Scholarly Journal: Int. J. Appl. Earth Obs. Geoinf.; J. Hydrol.; Remote Sens. Environ.; Stoch Environ Res Risk Assess; PLOS ONE; KSCE J. Civ. Eng.; ISPRS J. Photogramm. Remote Sens.; Environ. Res. Lett.; ISPRS Int. J. Geo-Inf.
Conference session convener: AOGS 2020 and MODSIM 2021
Professional membership: Member, Engineers Australia (EA); Member, Australian Water Association (AWA); Member, Korean Society of Remote Sensing (KSRS); Member, Korea Water Resources Association (KWRA); Member, Korean Society of Civil Engineers (KSCE)

Projects Involved

Research Associate, UNSW Sydney, Australia, Apr 2017–Feb 2022
- Australian Research Council (ARC) Discovery Project (DP), Assessing Water Supply Security in a Nonstationary Environment, May 2020–Feb 2022
- ARC DP, A Fourier approach to address low-frequency variability bias in hydrology, May 2019–April 2020
- ARC Linkage Project, funded by WaterNSW and Sydney Water, Adapting catchment monitoring and portable water treatment to climate change, Apr 2017–May 2019
Ph.D. candidate, UNSW Sydney, Australia, Jul 2013–Mar 2017
- ARC DP, Reducing Flood Loss-Data Assimilation Framework for Improving Forecasting Capability in Sparsely Gauged Regions, Jul 2013–Mar 2017
- Soil Moisture Active Passive Experiment - the 4th campaign SMAPEx-4, May 2015

Seokhyeon Kim