Publications

Peer-reviewed articles

Lenaerts, J. T. M., Camron, M. D., Wyburn-Powell, C. R. & Kay, J. E. (2020). Present-day and future Greenland Ice Sheet precipitation frequency from CloudSat observations and the Community Earth System Model. The Cryosphere. 14, 2253–2265, doi:10.5194/tc-14-2253-2020.

Responsibilities included the production of figures, data analysis, and contributing to the interpretation of results.

Presentations

Wyburn-Powell, C., Jahn, A., England, M. (2020) Realism of simulated internal variability in Arctic sea ice. Virtual Poster [C021-0012, 675618] presented at 2020 Fall Meeting, AGU, San Francisco, CA, 9-13 Dec.

Problem: Internal variability in observations is difficult to measure with only one realization of reality. Large ensembles are one way for models to represent internal variability.

Solution: By resampling observational and model time series, we can use this consistent method to compare observations and models.

Key finding: Resampling indicates the internal variability of selected CMIP5 models are not inconsistent with observations.

Chris Wyburn-Powell & David Edwards. (2018) What goes up must come down: Radiosonde Descent Data. Met Office Operations Weekly Seminar, Exeter, England, 2018-08-22.

An hour-long presentation to 43 attendees summarizing the analysis I undertook during my summer placement and conveying the positive results for applications of radiosonde descent data in operational models.

Other publications

Chris Wyburn-Powell, David Edwards (2018) Investigation into the Performance of Met Office Radiosonde Descent Data. UK Met Office.

An internal UK Met Office report produced during a summer internship (June-August 2018). Analysis of radiosonde descent data from 6 diverse sites and collaboration with ECMWF for background model comparisons. Findings showed a vast majority of descent data has sufficiently low biases to warrant further investigation for assimilation into operational model analyses.

Alex West, Chris Wyburn-Powell, Ed Blockley (2018) Briefing on Arctic and Antarctic sea ice - August 2018. UK Met Office.

Responsibilities included running Python code for heuristic model outputs and writing analyses of the data outputs.