Publication database KNMI

The publication database contains the (co-)authored publications in scientific journals, KNMI reports and other publications

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  1. ASCAT L2 winds Data Record Product User Manual version 1.2

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) reprocessed...

    A Verhoef, A Stoffelen | 2016 | EUMETSAT | 2016
  2. ASCAT L2 winds Data Record validation report version 1.2

    This report contains validation information about the Metop-A/ASCAT wind Climate Data Record (CDR...

    A Verhoef, J Vogelzang, A Stoffelen | 2016 | EUMETSAT | 2016
  3. CMOD7

    A new GMF is being developed for C-band scatterometers. CMOD6 is used for ERS and ASCAT and is va...

    JA Verspeek, A Stoffelen | 2016 | KNMI | 2016
  4. ASCAT Wind Product User Manual version 1.14

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) and EUMETSA...

    A Verhoef, A Stoffelen | 2016 | EUMETSAT | 2016
  5. RapidScat wind Product User Manual version 1.2

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) RapidScat w...

    A Verhoef, A Stoffelen | 2016 | EUMETSAT | 2016
  6. Reprocessed SeaWinds L2 winds Product User Manual version 1.4

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) reprocessed...

    A Verhoef, A Stoffelen | 2016 | EUMETSAT | 2016
  7. Reprocessed SeaWinds L2 winds validation report version 1.4

    This report contains validation information about the QuikSCAT/SeaWinds wind Climate Data Record ...

    A Verhoef, J Vogelzang, A Stoffelen | 2016 | EUMETSAT | 2016
  8. PenWP Test Plan and Test Report version 2.0

    Test Plan and Test Report for the Pencil beam Wind Processor (PenWP) software package produced in...

    A Verhoef, J Vogelzang, J Verspeek, A Stoffelen | 2015 | EUMETSAT | 2015
  9. ASCAT-A backscatter anomalies in September and October 2014

    In September and October 2014 two small anomalies occurred for the ASCAT-A scatterometer. This do...

    JA Verspeek, A Stoffelen | 2015 | KNMI | 2015
  10. Statistical Quality Control of High-Resolution Winds of Different Radiosonde Types for Climatology Analysis

    Quality control (QC) is among the most important steps in any data processing. These steps are el...

    K Houchi, A Stoffelen, GJ Marseille, J de Kloe | published | J. Atm. Oceanic Technol. | 2015 | 32
  11. ASCAT Wind Quality Control Near Rain

    In this paper, anomalous spatial gradients are investigated by an image processing method, known ...

    W Lin, M Portabella, A Stoffelen, A Verhoef, A Turiel | published | IEEE Transactions on Geoscience and Remote Sensing | 2015
  12. ASCAT wind quality under high subcell wind variability conditions

    The assessment and validation of the quality of satellite scatterometer vector winds is challengi...

    W Lin, M Portabella, A Stoffelen, J Vogelzang, A Verhoef | published | J. Geophys. Res. | 2015
  13. SeaWinds wind Climate Data Record validation report version 1.3

    This report contains validation information about the QuikSCAT/SeaWinds wind Climate Data Record ...

    A Verhoef, J Vogelzang, A Stoffelen | 2015 | EUMETSAT | 2015
  14. SeaWinds wind Climate Data Record Product User Manual version 1.3

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) SeaWinds wi...

    A Verhoef, A Stoffelen | 2015 | EUMETSAT | 2015
  15. RapidScat wind validation report version 1.1

    The OSI SAF delivers level 2 wind products with 25 and 50 km Wind Vector Cell (WVC) spacing in ne...

    A Verhoef, J Vogelzang, A Stoffelen | 2015 | EUMETSAT | 2015
  16. RapidScat wind Product User Manual version 1.1

    Product User Manual of the Ocean and Sea Ice Satellite Application Facility (OSI SAF) RapidScat w...

    A Verhoef, A Stoffelen | 2015 | EUMETSAT | 2015
  17. Algorithm Theoretical Basis Document for the OSI SAF wind products version 1.2

    Algorithm Theoretical Basis Document (ATBD) for all OSI SAF wind products, providing a general in...

    A Verhoef, A Stoffelen | 2015 | EUMETSAT | 2015
  18. Spatial variances of wind fields: their sensitivity to sampling strategy and their relation to second-order structure functions and spectra

    A statistical quantity called spatial variance is defined. It combines the advantages of spectral...

    J Vogelzang, GP King, A Stoffelen | published | J. Geophys. Res. | 2015 | 120
  19. Linearity aspects of the ensemble of data assimilations technique

    We examine the linearity of the Ensemble of Data Assimilations (EDA) technique with respect to th...

    L Megner, DGH Tan, H Kornich, A Horanyi, A Stoffelen, GJ Marseille | published | Quart. J. Royal Meteor. Soc. | 2014
  20. performance of Aeolus in heterogeneous atmospheric conditions using high-resolution radiosonde data

    The European Space Agency Aeolus mission aims to measure wind profiles from space. A major challe...

    XJ Sun, RW Zhang, GJ Marseille, A Stoffelen, D Donovan, L Jiu, J Zhao | published | Atmospheric Measurement Techniques | 2014 | 7
  21. Retrieving hurricane wind speeds using cross-polarization C-band measurements

    Hurricane-force wind speeds can have a large societal impact and in this paper microwave C-band c...

    GJ van Zadelhoff, A Stoffelen, PW Vachon, J Wolfe, J Horstmann, M Belmonte-Rivas | published | Atmospheric Measurement Techniques | 2014 | 7
  22. The Benefit of HH and VH Polarizations in Retrieving Extreme Wind Speeds for an ASCAT-Type Scatterometer

    The wind retrieval performance of a fixed fan-beam scatterometer operating at C-band in VV polari...

    M Belmonte-Rivas, A Stoffelen, GJ van Zadelhoff | published | IEEE Gosci. Remote Sensing Letters | 2014 | 52
  23. Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT

    Highlights: • We combine satellite surface ocean wind vector data from three satellites. • Offsho...

    C Hasager, A Mouche, M Badger, F Bingol, I Karagali, T Driesenaar, A Stoffelen, A Pina, N Longepe | published | Remote Sens. Environ. | 2014 | 156
  24. Extended triple collocation: estimating errors and correlation coefficients with respect to an unknown target

    Calibration and validation of geophysical measurement systems typically requires knowledge of the...

    KA McColl, J Vogelzang, AG Konings, D Entekhabi, M Piles, A Stoffelen | published | Geophys. Res. Lett. | 2014 | 41
  25. estimation of background error correlation functions

    The aim of this work is to find optimal error correlation functions that enable 2DVAR to arrive a...

    J Vogelzang, A Stoffelen | published | 2014