Email: klr324@psu.edu, Website: http://klr324.github.io/, ORCID: orcid.org/0000-0001-9513-2636
| MS | The Pennsylvania State University, Geosciences | January 2014 – December 2015 |
| Thesis: “Improving the statistical method can raise the upper tail of sea-level projections” | ||
| Advisor: Dr. Klaus Keller; Dr. Chris E. Forest | ||
| BS | Bowling Green State University, Geology | August 2010 – December 2013 |
| Graduated Cum Laude | ||
| Senior Thesis: “Climate influence on human conflict: past and present” | ||
| Minor: General Science; Geologic and Climatic Folklore |
| 2016- | Research Technologist II, Network for Sustainable Climate Risk Management, The Pennsylvania State University, PA |
| 2014-2016 | Graduate Research Assistant, Department of Geosciences, The Pennsylvania State University, PA |
| 5-8/2013 | Field Technician, Department of Chemistry, Bowling Green State University, OH |
| 5-6/2010 | Student Intern, Lake County Soil and Water Conservation District, Painesville, OH |
Programming/ Scripting Languages: R, Matlab, Python, Fortran90
GIS Software: ArcGIS, QGIS, ENVI
Web-based Development: HTML, CSS, JavaScript, Markdown
Office Applications: Microsoft Word, Excel, PowerPoint, LaTeX
Data Collection and Analysis in the Field and Laboratory: vulnerability assessment, disaster risk management planning, rock and mineral identification, biological identification (fish, macroinvertebrates, bacteria), streamflow measurements, water sampling, erosion assessment, chemical analysis
Statistical Analysis: Markov chain Monte Carlo, Generalized Extreme Value analysis, Latin hypercube sampling, bootstrapping, uncertainty quantification
Instruments: flow probe, turbidity meter, Hach HQ40d Analyzer, AQ2+ Seal Discrete Chemical Analyzer, Brunton compass, ruggedized tablets, GPS
Pennsylvania State University, University Park, PA
Undergraduate Student Mentor
NOAA Mid-Atlantic RISA team's real-time, interactive geophysical map for public engagement: www.marisa.psu.edu/map/.
Olson, R, Ruckert KL, Chang, Won, Keller, K, Haran, Murali, and An, S-I (2018). Stilt: Easy Emulation of Time Series AR(1) Computer Model Output in Multidimensional Parameter Space. The R Journal. doi: 10.32614/RJ-2018-049.
Wong, TE, Bakker, A, Ruckert, K, Applegate, P, Slangen, A, and Keller, K (2017). BRICK v0.2, a simple, accessible, and transparent model framework for climate and regional sea-level projections. Geoscientific Model Development, 10: 2741-2760. doi: 10.5194/gmd-10-2741-2017.
Bakker AMR, Wong TE, Ruckert KL, and Keller, K (2017). Sea-level projections representing the deeply uncertain contribution of the West Antarctic ice sheet. Scientific Reports, 7(1): 3880. doi: 10.1038/s41598-017-04134-5.
Ruckert, KL, Oddo, PC, and Keller, K (2017). Impacts of representing sea-level rise uncertainty on future flood risk: An example from San Francisco Bay. PLoS ONE 12(3): e0174666. doi: 10.1371/journal.pone.0174666.
Ruckert, KL, Shaffer, G, Pollard, D, Guan, Y, Wong TE, Forest, CE, and Keller, K (2017). Assessing the impact of retreat mechanisms in a simple Antarctic ice sheet model using Bayesian calibration. PLoS ONE, 12(1): e0170052. doi: 10.1371/journal.pone.0170052.
Ruckert, KL, Guan, Y, Bakker, AMR, Forest, CE, and Keller, K (2017). The effects of time-varying observation errors on semi-empirical sea-level projections. Climatic Change, 140(3): 349-360. doi: 10.1007/s10584-016-1858-z.
Ruckert, KL, Srikrishnan, V, and Keller, K (2018). Characterizing the deep uncertainties surrounding coastal flood hazard projections: A case study for Norfolk, VA. arXiv preprint. arXiv: 1812.04673.
Ruckert, KL, Wong, TE, Lee, BS, Guan, Y, and Haran, M. Bayesian Inference and Markov chain Monte Carlo Basics, In Applegate, PJ and Keller, K (Eds.) Risk analysis in the Earth sciences: A lab manual with exercises in R (2nd ed., in prep.).
Ruckert, KL, Wong, TE, Guan, Y, Haran, M, and Applegate, PJ. A Calibration Problem and Markov chain Monte Carlo, In Applegate, PJ and Keller, K (Eds.) Risk analysis in the Earth sciences: A lab manual with exercises in R (2nd ed., in prep.).
Ruckert, KL, Wong, TE, Guan, Y, and Haran, M. Applying Markov chain Monte Carlo to sea-level data, In Applegate, P.J. and K. Keller (Eds.) Risk analysis in the Earth sciences: A lab manual with exercises in R (2nd ed., in prep.).
Poster Presentation, “(Pre)-Calibrations for a reduced complexity model of the Antarctic contribution to sea-level changes.” American Geophysical Union, December 17, 2015
Poster Presentation, “Deep uncertainty about the modes and tails of sea-level projections.” European Geoscience Union, April 16, 2015
Poster Presentation, “Sources of contamination within the upper tributaries of the Portage watershed to reduce harmful algal blooms in Lake Erie,” SETGO Symposium, July 26, 2013
Summer School on Sustainable Climate Risk Management Workshop, Pennsylvania State University, University Park, PA, August 11-15, 2014
Geology Field Camp, Bowling Green State University, Bowling Green, OH, Summer, 2012
GeoJourney, Bowling Green State University, Bowling Green, OH, Summer, 2011
| 2014- | Network for Sustainable Climate Risk Management (SCRiM) |
| 2010- | Academic Investment in Math and Science (AIMS) |
| 2013 | Outstanding Undergraduate Award, Department of Geology, Bowling Green State University |
| 2012 | Dennis L. Roder Geological Field Experience Scholarship, Department of Geology, Bowling Green State University |
| 2011-2012 | Lougheed Book Scholarship, Department of Geology, Bowling Green State University |
| Fall 2010; Spring and Summer 2011; Fall 2012; Spring and Fall 2013 | Deans List, Bowling Green State University |
| 2010-2013 | GRAMS (Granting Access to Math and Science), Bowling Green State University |