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First 1215 results for ” D Richardson”

1. Seasonal and regional contrasts of future trends in interannual arctic climate variability

   Future changes in interannual variability (IAV) of Arctic climate indicators such as sea ice and ...

   Marlen Kolbe1 · Richard Bintanja1, 2 · Eveline C. van der Linden2 | Journal: Climate Dynamics | Volume: 61 | Year: 2023 | First page: 3673 | Last page: 3706 | doi: https://doi.org/10.1007/s00382-023-06766-y

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2. High resolution satellite observations give new view of UK air quality

   New state-of-the-art satellite measurements of tropospheric column NO2 from the TROPOMI instrumen...

   Pope, Richard J.; Graham, Ailish M.; Chipperfield, Martyn P.; Veefkind, J. Pepijn | Journal: Weather | Year: 2019 | doi: https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/wea.3441

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3. Abrupt increase in Greenland melt enhanced by atmospheric wave changes

   Recent Greenland ice-sheet melt constitutes a considerable contribution to global sea-level rise....

   Rune Grand Graversen, Tuomas Heiskanen, Richard Bintanja & Heiko Goelzer | Journal: Climate Dynamics | Volume: 62 | Year: 2024 | First page: 7171 | Last page: 7183 | doi: https://doi.org/10.1007/s00382-024-07271-6

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4. The time of emergence of Arctic warming, wetting and sea ice melting

   In the rapidly warming and wetting Arctic, the time of emergence (ToE) of a new climate state occ...

   Nicoleta Tsakali, Marlen Kolbe, Richard Bintanja, Nomikos Skyllas | Journal: Nature Scientific Reports | Volume: 15 | Year: 2025 | First page: 12626 | doi: https://doi.org/10.1038/s41598-025-96607-1

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5. Simulating and Analysing Seabird Flyways: An Approach Combining Least-Cost Path Modelling and Machine Learning

   Aim We develop and test a cost framework to simulate the flyways of migratory seabirds, consider...

   Nomikos Skyllas, Mo A Verhoeven, Maarten JJE Loonen, Richard Bintanja | Journal: Global Ecology and Biogeography | Volume: 34 | Year: 2025 | First page: e70016 | doi: https://doi.org/10.1111/geb.70016

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