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C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF
We present a model description and benchmark evaluation of an extension of the tropospheric chemi...
V Huijnen, J Flemming, S Chabrillat, Q Errera, Y Christophe, AM Blechschmidt, A Richter, H Eskes | Status: published | Journal: Geoscientific Model Development | Volume: 9 | Year: 2016 | First page: 3071 | Last page: 3091 | doi: 10.5194/gmd-9-3071-2016
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Global modeling of tropical cyclone storm surges using high-resolution forecasts
We assess the suitability of ECMWF Integrated Forecasting System (IFS) data for the global modeli...
N Bloemendaal, S Muis, RJ Haarsma, M Verlaan, MI Apecechea, H de Moel, PJ Ward, JCJH Aerts | Status: published | Journal: Clim. Dyn. | Year: 2019 | doi: 10.1007/s00382-018-4430-x
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Seasonal Streamflow Forecasting for Fresh Water Reservoir Management in the Netherlands: An Assessment of Multiple Prediction Systems
For efficient management of the Dutch surface water reservoir Lake IJssel, (sub)seasonal forecast...
Hurkmans, R. T. W. L., B. van den Hurk, M. Schmeits, F. Wetterhall, and I. G. Pechlivanidis | Journal: J. Hydrometeor. | Volume: 24 | Year: 2023 | First page: 1275 | Last page: 1290 | doi: https://doi.org/10.1175/JHM-D-22-0107.1
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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, Overeem, Brasjen, Meirink, Leijnse, Uijlenhoet | Status: published | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 55 | Year: 2017 | First page: 6849 | Last page: 6859 | doi: 10.1109/TGRS.2017.2735439
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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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