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First 268 results for ” Pinto”

  1. Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties

    S Compernolle, T Verhoelst, G Pinardi, J Granville, D Hubert, A Keppens, ......, F Boersma, ......, H Eskes, ......, A Piters, ......, J van Geffen, Et al | Status: published | Journal: Atm. Chem. Phys. | Year: 2020 | doi: 10.5194/acp-20-8017-2020

    Publication

  2. Validation of tropospheric NO2 column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations

    G Pinardi, M Van Roozendael, F Hendrick, N Theys, N Abuhassan, A Bais, F Boersma, A Cede, ......, H Eskes, ......, A Piters, ......, T Vlemmix, Et al. | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2020 | doi: 10.5194/amt-13-6141-2020

    Publication

  3. Ground-motion networks in the Groningen field: usability and consistency of surface recordings

    Several strong-motion networks have been installed in the Groningen gas field in the Netherlands ...

    M Ntinalexis, JJ Bommer, E Ruigrok, B Edwards, R Pinho, B Dost, AA Correia, J Uilenreef, PJ Stafford, J Van Elk | Status: published | Journal: J. Seism. | Volume: 23 | Year: 2019 | First page: 1233 | Last page: 1253 | doi: 10.1007/s10950-019-09870-x

    Publication

  4. Assessment of the TROPOMI tropospheric NO2 product based on airborne APEX observations

    Sentinel-5 Precursor (S-5P), launched in October 2017, carrying the TROPOspheric Monitoring Instr...

    Tack, F., Merlaud, A., Iordache, M.-D., Pinardi, G., Dimitropoulou, E., Eskes, H., Bomans, B., Veefkind, P., and Van Roozendael, M. | Journal: Atmos. Meas. Tech. | Volume: 14 | Year: 2021 | First page: 615 | Last page: 646 | doi: 10.5194/amt-14-615-2021

    Publication

  5. SWIRRL. Managing Provenance-aware and Reproducible Workspaces

    Modern interactive tools for data analysis and visualisation are designed to expose their functio...

    Alessandro Spinuso, Mats Veldhuizen, Daniele Bailo, Valerio Vinciarelli, Tor Langeland | Journal: Data Intelligence | Year: 2022 | doi: https://doi.org/10.1162/dint_a_00129

    Publication