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Matt Amos

Research student

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  1. Preprint
  2. Published

    LancasterAQ: A High Resolution Street Level Dataset of Ultrafine Particles

    Amos, M., Booker, D., Duncan, R., Gouldsbrough, L., Pinder, T., Young, P. & Carter, J., 3/10/2022, EarthArXiv.

    Research output: Working paper › Preprint

  3. Conference article
  4. Published

    Ensembling geophysical models with Bayesian Neural Networks

    Sengupta, U., Amos, M., Hosking, J. S., Rasmussen, C. E., Juniper, M. & Young, P., 7/10/2020, In: Advances in Neural Information Processing Systems. 33, p. 1-13 13 p.

    Research output: Contribution to Journal/Magazine › Conference article › peer-review

  5. Journal article
  6. Published

    Flyway-scale analysis reveals that the timing of migration in wading birds is becoming later

    Mondain-Monval, T. O., Amos, M., Chapman, J-L., MacColl, A. & Sharp, S. P., 31/10/2021, In: Ecology and Evolution. 11, 20, p. 14135-14145 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Projecting ozone hole recovery using an ensemble of chemistry-climate models weighted by model performance and independence

    Amos, M., Young, P., Hosking, J. S., Lamarque, J-F., Abraham, N. L., Akiyoshi, H., Archibald, A., Bekki, S., Deushi, M., Jöckel, P., Kinnison, D. E., Kirner, O., Kunze, M., Marchand, M., Plummer, D. A., Saint-Martin, D., Sudo, K., Tilmes, S. & Yamashita, Y., 26/08/2020, In: Atmospheric Chemistry and Physics . 20, p. 9961–9977 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Doctoral Thesis
  9. Published

    Improving the robustness, accuracy, and utility of chemistry-climate model ensembles

    Amos, M., 8/02/2022, Lancaster University. 177 p.

    Research output: Thesis › Doctoral Thesis

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