Sea ice melt and freeze detection
With Dr. Thorsten Markus, I developed an algorithm to determine when sea ice in the Northern Hemisphere first begins to melt in each calendar year, and when it first begins to freeze up again. I am working to refine and improve the algorithm.
This work is important in tracking the length of the melt season in the Arctic as a metric for climate change.
Senior Scientific Programmer
KBRWyle - NASA Goddard Space Flight Center
August 2004 - Present
In this position, I support the Cryospheric Sciences Lab at GSFC. This includes algorithm development and testing, data product processing / vetting / improvement, and tracking instrument calibration and health. I interface directly with mission PIs with whatever scientific programming tasks they need both on a day to day and routine basis.
Senior Calibration and Validation Analyst
Science Systems Applications Inc. - NASA Goddard Space Flight Center
April 1998 - August 2004
In this position, I supported the Landsat Project Science office here at GSFC. I created software tools to characterize and refine the instrument calibration, as well as to monitor and report on instrument health. I reported directly to the Project Scientists on a day to day basis, and delivered talks as semiannual science team meetings.
PhD postgraduate work, University of Maryland, College Park
Ballinger, T. J., E. Hanna, R. J. Hall, et al. J. Miller, M. H. Ribergaard, and J. L. Hoyer. 2017. Greenland coastal air temperatures linked to Baffin Bay and Greenland Sea ice conditions during autumn through regional blocking patterns Climate Dynamics 1--18 [10.1007/s00382-017-3583-3]
Petty, A. A., D. Schröder, J. C. Stroeve, et al. T. Markus, J. Miller, N. T. Kurtz, D. L. Feltham, and D. Flocco. 2017. Skillful spring forecasts of September Arctic sea ice extent using passive microwave sea ice observations Earth's Future 5 254–263 [10.1002/2016EF000495]
Hall, D. K., S. V. Nghiem, I. G. Rigor, and J. A. Miller. 2015. Uncertainties of temperature measurements on snow-covered land and sea ice from in situ and MODIS data during BROMEX Journal of Applied Meteorology and Climatology 54 (5): 966-978 [10.1175/JAMC-D-114-01751.1]
Dong, J., M. Ek, D. K. Hall, et al. C. D. Peters-Lidard, B. Cosgrove, J. Miller, G. Riggs, and Y. Xia. 2014. Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United States J. Hydrometeor. 15 (2): 551-562 [10.1175/JHM-D-13-060.1]
Cavalieri, D. J., T. Markus, A. Ivanoff, et al. J. A. Miller, L. Brucker, M. Sturm, J. Maslanik, J. F. Heinrichs, A. J. Gasiewski, C. Leuschen, W. B. Krabill, and J. G. Sonntag. 2012. A Comparison of Snow Depth on Sea Ice Retrievals Using Airborne Altimeters and an AMSR-E Simulator IEEE Trans. Geosci. Remote Sensing 50 (8): 3027-3040 [10.1109/TGRS.2011.2180535]
Kurtz, N., T. Markus, D. J. Cavalieri, et al. B. Krabill, J. G. Sonntag, and J. Miller. 2008. Comparison of ICESat Data With Airborne Laser Altimeter Measurements Over Arctic Sea Ice IEEE Trans. Geosci. Remote Sensing 46 (7): 1913-1924 [10.1109/TGRS.2008.916639]
Markham, B. L., D. Jenstrom, B. Sauer, et al. S. Pszcolka, V. Dulski, J. Hair, J. McCorkel, G. Kvaran, K. Thome, M. Montanaro, J. Pedelty, C. Anderson, M. Choate, J. A. Barsi, E. Kaita, and J. Miller. 2020. Landsat 9 Mission update and status Earth Observing Systems XXV 11501 (O): 1-8 [10.1117/12.2569748]