Associate Research Scholar, Princeton University, USA, 2016–2020
Postdoc, European Commission, Joint Research Centre, Italy, 2013–2016
PhD, VU University Amsterdam, the Netherlands, 2009–2013
Research Interests
Professor Beck's interests lie in leveraging the latest developments in machine learning, remote sensing, and modeling to recognize, understand, and manage climate hazards such as floods, droughts, and heat waves.
Selected Publications
Krabbenhoft, C.A., Allen, G.H., Lin, P., Beck, H.E., et al., 2022. Assessing placement bias of the global river gauge network. Nature Sustainability. https://doi.org/10.1038/s41893-022-00873-0
Beck, H., A. van Dijk, P. Larraondo, T. McVicar. M. Pan, E. Dutra, and D. Miralles, 2022. MSWX: global 3-hourly 0.1◦ bias-corrected meteorological data including near real-time updates and forecast ensembles, Bulletin of the American Meteorological Society 103(3), E710–E732.
Yang, Y., M. Pan, P. Lin, H. Beck, Z. Zeng, D. Yamazaki, C. David, H. Lu, K. Yang, Y. Hong, and E. Wood, 2021. Global reach-level 3-hourly river flood reanalysis (1980–2019), Bulletin of the American Meteorological Society 102(11), E2086–E2105.
Beck, H., M. Pan, D. Miralles, R. Reichle,W. Dorigo, S. Hahn, J. Sheffield, L. Karthikeyan, G. Balsamo, R. Parinussa, A. van Dijk, J. Du, J. Kimball, N. Vergopolan, and E. Wood, 2021. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors, Hydrology and Earth System Sciences 25(1), 17–40.
Fu, D., P. Chang, C. Patricola, R. Saravanan, X. Liu, and H. Beck, 2021. Central American mountains inhibit eastern North Pacific seasonal tropical cyclone activity, Nature communications 12(1), 1–11.