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First 584 results for ” Matthew H. Alford”

  1. Supporting Earth-Observation Calibration and Validation: A new generation of tools for crowdsourcing and citizen science

    Citizens are providing vast amounts of georeferenced data in the form of in situ data collections...

    L See, S Fritz, E Dias, E Hendriks, B Mijling, F Snik, P Stammes, F Vescovi, G Zeug, PP Mathieu, YL Desnos, M Rast | Status: published | Journal: IEEE Gosci. Remote Sensing Letters | Volume: 4 | Year: 2016 | First page: 38 | Last page: 50 | doi: 10.1109/MGRS.2015.2498840

    Publication

  2. Impact of synthetic space-borne NO2 observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO2 analyses

    We present an Observing System Simulation Experiment (OSSE) dedicated to the evaluation of the ad...

    R Timmermans, A Segers, L Curier, R Abida, JL Attie, L El Amraoui, H Eskes, J de Haan, A Oude Nijhuis, P Veefkind | Status: published | Journal: Atm. Chem. Phys. | Volume: 19 | Year: 2019 | First page: 12811 | Last page: 12833 | doi: https://doi.org/10.5194/acp-19-12811-2019

    Publication

  3. Intra-pixel variability in satellite tropospheric NO2 column densities derived from simultaneous space-borne and airborne observations over the South African Highveld

    S Broccardo, KP Heue, D Walter, C Meyer, A Kokhanosky, RJ van der A, S Piketh, K Langerman, U Platt | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2018 | First page: 2797 | Last page: 2819 | doi: 10.5194/amt-11-2797-2018

    Publication

  4. Investigating the impact of soil moisture on European summer climate in ensemble numberical experiments

    C Ardilouze, L Batté, M Déqué, E van Meijgaard, BJJM van den Hurk | Status: published | Journal: Clim. Dyn. | Year: 2018 | doi: 10.1007.s00382-018-4358-1

    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