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First 208 results for ” Cho”

1. Characterizing Buoy Wind Speed Error in High Winds and Varying Sea State with ASCAT and ERA5

   Buoys provide key observations of wind speed over the ocean and are routinely used as a source of...

   Ethan E Wright, Mark A Bourassa, Ad Stoffelen, Jean-Raymond Bidlot | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/10.3390/rs13224558

   Publication

2. Interdecadal Changes in Aerosol Optical Depth Over Pakistan Based on the MERRA‐2 Reanalysis Data during 1980–2018

   The spatiotemporal evolution and trends in aerosol optical depth (AOD) over environ‐ mentally di...

   Khan, R.; Kumar, K.R.; Zhao, T.; Ullah, W.; de Leeuw, G. | Journal: Remote Sensing | Year: 2021 | doi: 10.3390/ rs13040822

   Publication

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

   Publication

4. KNMI'23 climate scenarios for the Netherlands: storyline scenarios of regional climate change

   This paper presents the methodology for the construction of the KNMI'23 national climate scenario...

   K van der Wiel, J Beersma, H van den Brink, F Krikken, F Selten, C Severijns, A Sterl, E van Meijgaard, T Reerink, R van Dorland | Journal: Earth's Future | Volume: 12 | Year: 2024 | First page: e2023EF003983 | doi: 10.1029/2023EF003983

   Publication

5. Investigating MSG-SEVIRI data as an additional predictor source in the KNMI probabilistic (severe) thunderstorm forecasting system

   Thunderstorms can be a serious threat to society. In the Netherlands, the Royal Netherlands Meteo...

   VA van Gastel | Year: 2012 | Pages: 65

   Publication