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Modeling and simulating spatial extremes by combining extreme value theory with generative adversarial networks
Modeling dependencies between climate extremes is important for climate risk assessment, for inst...
Y Boulaguiem, J Zschleischler, E Vignotto, K van der Wiel, S Engelke | Journal: Environmental Data Science | Volume: 1 | Year: 2022 | First page: e5 | doi: 10.1017/eds.2022.4
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Rainfall retrieval algorithm for commercial microwave links: stochastic calibration
During the last decade, rainfall monitoring using signal-level data from commercial microwave lin...
Wagner Wolff, Aart Overeem, Hidde Leijnse, Remko Uijlenhoet | Journal: Atmospheric Measurement Techniques | Volume: 15 | Year: 2022 | First page: 485 | Last page: 502 | doi: 10.5194/amt-15-485-2022
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Hoe extreem was de droogte van 2018?
In H2O Augustus 2019
Te downloaden/bekijken via:
https://www.h2owaternetwerk.nl/vakartikele...
Nienke Kramer,
Marjolein Mens,
Jules Beersma,
Neeltje Kielen | Year: 2019
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Evaluation of Rainfall Products Derived From Satellites and Microwave Links for The Netherlands
High-resolution inputs of rainfall are important in hydrological sciences, especially for urban h...
Rios Gaona, M. F., Overeem, A., Brasjen, A. M., Meirink, J. F., Leijnse, H., and Uijlenhoet, R | Journal: IEEE Transactions on Geoscience, Remote Sensing | Year: 2017 | doi: 10.1109/TGRS.2017.2735439
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In-flight performance of the Ozone Monitoring Instrument
The Dutch–Finnish Ozone Monitoring Instrument (OMI) is an imaging spectrograph flying on NASA's E...
Schenkeveld, V. M. E.; Jaross, G.; Marchenko, S.; Haffner, D.; Kleipool, Q. L.; Rozemeijer, N. C.; Veefkind, J. P.; Levelt, P. F. | Journal: Atmospheric Measurement Techniques | Year: 2017 | doi: https://doi.org/10.5194/amt-10-1957-2017
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