Dr Julienne Stroeve

Principals of Weather and Climate, Remote sensing of the cryosphere, introduction to earth science

Interested in deriving accurate geophysical variables from satellite data. This involves developing novel algorithms and validation through in situ field campaigns. Once we have reilable data we can investigate seasonal, interannal and long-term changes, and understand their drivers in conjunction with other climate data. This is important in order to understand how the cryosphere will evolve into the future. I'm also focused on understanding biases in climate models and how we can improve them to inform policy decisions.

The Research Team: https://umanitoba.ca/earth-observation-science/julienne-stroeve-project-page

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Stroeve, J., M. M. Holland, W. Meier, T. Scambos and M. Serreze, (2007). Arctic sea ice decline: Faster than Forecast, Geophys. Res. Lett., 34

Stroeve, J., M. Vancoppenolle, G. Veyssiere, M. Lebrun, G. Castellani, M. Babin, M. Karcher, J. Landy, G.E. Liston and J. Wilkinson (2021), A multi-sensor and modelling approach for mapping light under sea ice during the ice-growth season, Front. Mar. Sci

Stroeve, J., V. Nandan, R. Willatt, R. Tonboe, S. Hendricks, R. Ricker, J. Mead, R. Mallett, M. Huntemann, P. Itkin, M. Schneebli, D. Krampe, G. Spreen, J. Wilkinson, I. Matero, M. Hoppmann, and M. Tsamados (2020), Surface-based Ku- and Ka-band polarimetric radar for sea ice studies, Cryosphere

Stroeve, J., G. Liston, S. Buzzard, L. Zhou, R. Mallett, A. Barrett, M. Tsamados, M. Tschudi, P. Itkin and J.S. Stewart (2020), A Lagrangian Snow-Evolution System for Sea Ice Applications (SnowModel-LG): Part II - Analyses, J. Geophys. Res. Oceans, 125