Search results

Verberg filters
Sort by
Types
Publication types
Publication year
t/m
Toon filters

First 3179 results for ” Rob van Dorland”

  1. Atmosfeer-oceaan interactie bij extreem weer

    De huidige standaard voor waterstandvoorspellingen bestaat uit het 2D ondiep water model WAQUA/DC...

    NC Zweers | Journal: Meteorologica | Volume: 17 | Year: 2008

    Publication

  2. Validation of five years (2003-2007) of SCIAMACHY CO total column measurements using Ground-Based Spectrometer observations

    This paper presents a validation study of SCIAMACHY CO total column measurements from the IMLM al...

    ATJ de Laat, et al. | Status: accepted | Journal: Atmospheric Measurement Techniques | Volume: 3 | Year: 2010 | First page: 1457 | Last page: 1471 | doi: 10.5194/amt-3-1457-2010, 2010.

    Publication

  3. Himawari-8 aerosol optical depth (AOD) retrieval using a deep neural network trained using AERONET observations

    Spectral aerosol optical depth (AOD) estimation from satellite-measured top of atmosphere (TOA) r...

    L She, H Zhang, Z Li, G de Leeuw, B Huang | Status: published | Journal: Remote Sensing | Volume: 12 | Year: 2020 | First page: 1 | Last page: 19 | doi: doi:10.3390/rs12244125

    Publication

  4. An AeroCom–AeroSat study: intercomparison of satellite AOD datasets for aerosol model evaluation

    To better understand and characterize current uncertainties in the important observational constr...

    N Schutgens, AM Sayer, A Heckel, C Hsu, H Jethva, G de Leeuw, Et al. | Status: published | Journal: Atm. Chem. Phys. | Volume: 20 | Year: 2020 | First page: 12431 | Last page: 12457 | doi: https://doi.org/10.5194/acp-20-12431-2020

    Publication

  5. FY-4A/AGRI Aerosol Optical Depth Retrieval Capability Test and Validation Based on NNAeroG

    The Advanced Geostationary Radiation Imager (AGRI) is one of the main imaging sensors on the Feng...

    Ding, H., L. Zhao, S. Liu, X. Chen, G. de Leeuw, F. Wang, F. Zheng, Y. Zhang, J. Liu, J. Li, L. She, Y. Si, X. Gu. | Journal: Remote Sensing | Volume: 14 | Year: 2022 | First page: 5591 | doi: https://doi.org/10.3390/rs14215591

    Publication