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First 3446 results for ”EJM van den Besselaar”

1. High-Resolution Mapping of Nitrogen Dioxide With TROPOMI: First Results and Validation Over the Canadian Oil Sands

   Abstract TROPOspheric Monitoring Instrument (TROPOMI), on-board the Sentinel-5 Precurser satellit...

   Griffin, Debora; Zhao, Xiaoyi; McLinden, Chris A.; Boersma, Folkert; Bourassa, Adam; Dammers, Enrico; Degenstein, Doug; Eskes, Henk; Fehr, Lukas; Fioletov, Vitali; Hayden, Katherine; Kharol, Shailesh K.; Li, Shao-Meng; Makar, Paul; Martin, Randall V.; Mihele, Cristian; Mittermeier, Richard L.; Krotkov, Nickolay; Sneep, Maarten; Lamsal, Lok N.; Linden, Mark ter; Geffen, Jos van; Veefkind, Pepijn; Wolde, Mengistu | Journal: Geophysical Research Letters | Year: 2019 | doi: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018GL081095

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2. Precipitation Extremes and Water Vapor: Relationships in Current Climate and Implications for Climate Change.

   Purpose of Review: Review our current understanding of how precipitation is related to its thermo...

   J. David Neelin· Cristian Martinez-Villalobos · Samuel N. Stechmann· Fiaz Ahmed · Gang Chen · Jesse M. Norris · Yi-Hung Kuo · Geert Lenderink | Journal: Curr Clim Change Rep | Volume: 8 | Year: 2022 | First page: 17 | Last page: 33 | doi: 10.1007/s40641-021-00177-z

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3. Multi-method attribution analysis of extreme precipitation in Boulder, Colorado

   Understanding and attributing the characteristics of extreme events that lead to societal impacts...

   JM Eden, K Wolter, FEL Otto, GJ van Oldenborgh | Status: published | Journal: Environmental Research Letters | Volume: 11 | Year: 2016 | First page: 124009 | doi: 10.1088/1748-9326/11/12/124009

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4. An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts

   Empirical models, designed to predict surface variables over seasons to decades ahead, provide us...

   EB Suckling, GJ van Oldenborgh, JM Eden, E Hawkins | Status: published | Journal: Clim. Dyn. | Year: 2016 | doi: 10.1007/s00382-016-3255-8

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5. A global empirical system for probabilistic seasonal climate prediction

   Preparing for episodes with risks of anomalous weather a month to a year ahead is an important ch...

   JM Eden, GJ van Oldenborgh, E Hawkins, EB Suckling | Status: published | Journal: Geoscientific Model Development | Volume: 8 | Year: 2015 | First page: 3947 | Last page: 3973 | doi: doi:10.5194/gmd-8-3947-2015

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