Search results

First 669 results for ”K Horsburgh”

1. A 2-year intercomparison of continuous-wave focusing wind lidar and tall mast wind measurements at Cabauw

   A 2-year measurement campaign of the ZephIR 300 vertical profiling continuous-wave (CW) focusing ...

   S Knoop, FC Bosveld, MJ de Haij, A Apituley | Status: published | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 2219 | Last page: 2235 | doi: https://doi.org/10.5194/amt-14-2219-2021

   Publication

2. Estimating lockdown-induced European NO2 changes using satellite and surface observations and air quality models

   This study provides a comprehensive assessment of NO2 changes across the main European urban area...

   Jérôme Barré, John Douros | Journal: Atmospheric Chemistry and Physics | Volume: Volume 21, Issue 9 | Year: 2021 | doi: https://doi.org/10.5194/acp-21-7373-2021

   Publication

3. Validation of the NSCAT-5 Geophysical Model Function for Scatsat-1 Wind Scatterometer

   Recent developments on the wind geophysical model function (GMF) of Ku-band scatterometers includ...

   Wenming Lin, Marcos Portabella, Ad Stoffelen, Anton Verhoef, Zhixiong Wang | Journal: IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium | Year: 2018 | doi: https://doi.org/10.1109/IGARSS.2018.8517739

   Publication

4. An SST‐dependent K u‐band geophysical model function for R apid S cat

   A new Ku-band geophysical model function (GMF), which includes sea surface temperature (SST) depe...

   Zhixiong Wang, Ad Stoffelen, Chaofang Zhao, Jur Vogelzang, Anton Verhoef, Jeroen Verspeek, Mingsen Lin, Ge Chen | Journal: Journal of Geophysical Research: Oceans | Volume: 122 | Year: 2017 | doi: https://doi.org/10.1002/2016JC012619

   Publication

5. Bayesian Algorithm for Rain Detection in Ku-Band Scatterometer Data

   Ku-band scatterometers are sensitive to rain effects due to their centimeter-scale radar waveleng...

   Zhao, K., A. Stoffelen, J. Verspeek, A. Verhoef and C. Zhao | Journal: IEEE Transactions on Geoscience and Remote Sensing | Volume: 61 | Year: 2023 | doi: 10.1109/TGRS.2023.3264245

   Publication