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First 1699 results for ” D Easterling”

1. Ability of the MAX-DOAS method to derive profile information for NO2: can the boundary layer and free troposphere be separated?
   T Vlemmix, AJM Piters, AJC Berkhout, LFL Gast, P Wang, PF Levelt | Status: published | Journal: Atmospheric Measurement Techniques | Year: 2011 | First page: 2659 | Last page: 2684 | doi: 10.5194/amt-4-2659-2011

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2. Curriculum vitae of the LOTOS–EUROS (v2.0) chemistry transport model

   The development and application of chemistry transport models has a long tradition. Within the Ne...

   Astrid M. M. Manders, John Douros, Henk Eskes, Peter van Velthoven | Status: published | Journal: Geoscientific Model Development | Volume: Volume 10, issue 11 | Year: 2017 | doi: https://doi.org/10.5194/gmd-10-4145-2017

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3. The global chemistry transport model TM5: description and evaluation of the tropospheric chemistry version 3.0

   We present a comprehensive description and benchmark evaluation of the tropospheric chemistry ver...

   V Huijnen, J Williams, M van Weele, T van Noije, M Krol, F Dentener, A Segers, S Houweling, W Peters, J de Laat, F Boersma, P Bergamaschi, P van Velthoven, P Le Sager, H Eskes, F Alkemade, R Scheele, P Nédélec, H-W Pätz | Status: published | Journal: Geosci. Model Dev. | Volume: 3 | Year: 2010 | First page: 445 | Last page: 473 | doi: 10.5194/gmd-3-445-2010

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4. Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud cci project

   New cloud property datasets based on measurements from the passive imaging satellite sensors AVHR...

   Stengel, Stapelberg, Sus, Schlundt, Poulsen, Thomas, Christensen, Carbajal Henken, Preusker, Fischer, Devasthale, Willen, Karlsson, McGarragh, Proud, Povey, Grainger, Meirink, Feofilov, Bennartz, Bojanowski, Hollmann | Status: published | Journal: Earth System Science Data | Volume: 9 | Year: 2017 | First page: 881 | Last page: 904 | doi: 10.5194/essd-9-881-2017

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5. Towards monitoring the englacial fracture state using virtual-reflector seismology

   In seismology, coda wave interferometry (CWI) is an effective tool to monitor time-lapse changes ...

   F Lindner, C Weemstra, F Walter, C Hadziioannou | Journal: Geophysical Journal International | Volume: 214 | Year: 2018 | First page: 825 | Last page: 844 | doi: https://doi.org/10.1093/gji/ggy156

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