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First 1668 results for ” J Clinton”

1. Time series transformation tool version 3.1 Description of the program to generate time series consistent with the KNMI’14 climate scenarios

   This report presents the ’Transformation Program version 3.1 KNMI’14’1,2. Chapter 2 to 4 are devo...

   A. Bakker | Year: 2015 | Pages: 43

   Publication

2. Wind field and gust climatology of the Persian Gulf during 1988–2010 using in-situ, reanalysis and satellite sea surface winds

   This study aimed to investigate the wind-field and gust climatology of the Persian Gulf (PG), usi...

   Elaheh Owlad, Ad Stoffelen, Parvin Ghafarian, Siavash Gholami | Journal: Regional Studies in Marine Science | Volume: 52 | Year: 2022 | doi: https://doi.org/10.1016/j.rsma.2022.102255

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3. 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

4. CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

   This paper presents the third edition of The Satellite Application Facility on Climate Monitoring...

   Karl-Göran Karlsson, Martin Stengel, Jan Fokke Meirink, Aku Riihelä, Jörg Trentmann, Tom Akkermans, Diana Stein, Abhay Devasthale, Salomon Eliasson, Erik Johansson, Nina Håkansson, Irina Solodovnik, Nikos Benas, Nicolas Clerbaux, Nathalie Selbach, Marc Schröder, and Rainer Hollmann | Journal: Earth System Science Data | Volume: 15 | Year: 2023 | First page: 4901 | Last page: 4926 | doi: 10.5194/essd-15-4901-2023

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5. Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models

   Climate change has a large influence on the occurrence of extreme hydrological events. However, r...

   SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108

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