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First 938 results for ” F Hase”

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

   The QA4ECV (Quality Assurance for Essential Climate Variables) version 1.1 stratospheric and trop...

   Compernolle, S., Verhoelst, T., Pinardi, G., Granville, J., Hubert, D., Keppens, A., Niemeijer, S., Rino, B., Bais, A., Beirle, S., Boersma, K.F., Burrows, J.P., De Smedt, I., Eskes, H., Goutail, F., Hendrick, F., Lorente, A., Pazmino, A., Piters, A., Peters, E., Pommereau, J.-P., Remmers, J., Richter, A., van Geffen, J., Van Roozendael, M., Wagner, T. and Lambert, J.-C | Journal: Atmospheric Chemistry and Physics | Volume: 20 | Year: 2020 | doi: https://doi.org/10.5194/acp-20-8017-2020

   Publication

2. Defining aerosol layer height for UVAI interpretation using aerosol vertical distributions characterized by MERRA-2

   Aerosol vertical distributions are important for aerosol radiative forcing assessments and atmosp...

   J. Sun, J.P. Veefkind, P. van Velthoven, L.G. Tilstra, J. Chimot, S. Nanda, P.F. Levelt | Journal: Atmospheric Chemistry and Physics | Year: 2020 | doi: https://doi.org/10.5194/acp-2020-39

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3. Evaluation of CLARA-A2 and ISCCP-H Cloud Cover Climate Data Records over Europe with ECA&D Ground-Based Measurements

   Clouds are of high importance for the climate system but they still remain one of its principal u...

   Tzallas, V., Hatzianastassiou, N., Benas, N., Meirink, J. F., Matsoukas, C., Stackhouse, P., and Vardavas, I | Journal: Remote Sensing | Volume: 11 | Year: 2019 | doi: https://doi.org/10.3390/rs11020212

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4. The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model

   The Cloud Climate Change Initiative (Cloud_cci) satellite simulator has been developed to enable ...

   Eliasson, S., Karlsson, K. G., van Meijgaard, E., Meirink, J. F., Stengel, M., andWill´en, U | Journal: Geoscientific Model Development | Year: 2019 | doi: https://doi.org/10.5194/gmd-12-829-2019

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5. Improvements in Ku-band scatterometer wind ambiguity removal using ASCAT-based empirical background error correlations

   Wind scatterometry is an established technique for accurately measuring wind vectors over the wor...

   Jur Vogelzang, Ad Stoffelen | Journal: Quarterly Journal of the Royal Meteorological Society | Volume: 144 | Year: 2018 | doi: https://doi.org/10.1002/qj.3349

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