Dr Agnieszka Faulkner

I have completed my MSc and PhD at the University of Reading. My PhD thesis focused on "Characterisation of industrial thermal plumes discharged into coastal waters using remote sensing and simulation techniques".

Previously, I have worked at the University of Reading within the Remote Sensing group. I used Landsat 8 and ASTER data and worked on improving cloud cover in the coastal regions for the SLSTR instrument onboard Sentinel 3.

I have joined NOC in 2022. I am a member of the Surface Processes team within Global Climate group at NOC. 
I mainly work with surface variables datasets (SST, MAT) and surface flux datasets. I also contribute content to the Curated Dashboard project within NOC.
I have worked on the GloMar gridding package and kriging techniques used for data infilling. 
My current focus is on analysing the state variables and fluxes within the Tropics using GTMBA tropical buoy network

My work revolves around:
- data gridding and in-filling using kriging techniques
- datasets comparison 
- data visualisation

I work mainly in Python. If you have any Python queries or are looking into developing / sharing Python code - feel free to contact me. 

 

My publications:

Faulkner, Agnieszka, Claire E. Bulgin, and Christopher J. Merchant. "Coastal tidal effects on industrial thermal plumes in satellite imagery." Remote Sensing 11.18 (2019): 2132.

Faulkner, Agnieszka, Claire E. Bulgin, and Christopher J. Merchant. "Characterising industrial thermal plumes in coastal regions using 3-D numerical simulations." Environmental Research Communications 3.4 (2021): 045003.

Claire E. Bulgin, Agnieszka Faulkner, Christopher J. Merchant, Gary K. Corlett, Niall McCarroll, Owen Embury, Edward Polehampton "Improving the combined use of reflectance and thermal channels for ocean and coastal cloud detection for the Sea and Land Surface Temperature Radiometer (SLSTR)" Remote Sensing of Environment
 
Cornes, Richard C., Steven C. Chan, Archie Cable, Duo Chan, Agnieszka Faulkner, Elizabeth C. Kent, and Joseph T. Siddons. "GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications." Geoscience Data Journal 13, no. 2 (2026): e70064.

Chan, D., Chan, S.C., Siddons, J.T., Cable, A., Faulkner, A., Cornes, R.C., Kent, E.C., Gebbie, G. and Huybers, P., 2026. "DCENT‐I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset." Geoscience Data Journal, 13(2), p.e70054.