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