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First 3179 results for ” Rob van Dorland”

1. 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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2. Surface solar radiation forecasts by advecting cloud physical properties derived from Meteosat Second Generation observations

   A surface solar radiation forecast algorithm is developed using cloud physical properties from th...

   Wang, P., van Westrhenen, R., Meirink, J. F., van der Veen, S., and Knap, W | Journal: Solar Energy | Volume: 177 | Year: 2019 | doi: https://doi.org/10.1016/j.solener.2018.10.073

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3. Ambient ultraviolet-B radiation, supplements and other factors interact to impact vitamin D status differently depending on ethnicity: a cross-sectional study

   Background & aims Many determinants of vitamin D status have been well-described, yet supp...

   Brennan, M.M., van Geffen, J., van Weele, M., Zgaga, L. and Shraim | Journal: Clinical Nutrition | Volume: 43 | Year: 2024 | First page: 1308 | Last page: 1317 | doi: 10.1016/j.clnu.2024.04.006

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4. Correction of rainfall series in the Netherlands resulting from leaky rain gauges

   In the period 2012-2014 new rain gauges were installed on the 320 stations of the KNMI manual dai...

   T. Brandsma, J.J. Beersma, J.W. van den Brink, T.A. Buishand, R. Jilderda, A. Overeem | Year: 2020 | Pages: 44

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5. Comparison of S5P/TROPOMI Inferred NO2 Surface Concentrations with In Situ Measurements over Central Europe

   The aim of this paper is to evaluate the surface concentration of nitrogen dioxide (NO2) inferred...

   Pseftogkas, A., Koukouli, M., Segers, A., Manders, A., Van Geffen, J., Balis, D., Meleti, C., Stavrakou, T. and Eskes, H | Journal: Remote Sensing | Volume: 14 | Year: 2022 | doi: https://doi.org/10.3390/rs14194886

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