Blar i CICERO Research Archive på forfatter "Salawitch, Ross J."
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A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1
Nicely, Julie M.; Duncan, Bryan; Hanisco, Thomas F.; Wolfe, Glenn M.; Salawitch, Ross J.; Deushi, Makoto; Haslerud, Amund Søvde; Jöckel, Patrick; Josse, Béatrice; Kinnison, Douglas E.; Klekociuk, Andrew; Manyin, Michael E.; Marécal, Virginie; Morgenstern, Olaf; Murray, Lee T.; Myhre, Gunnar; Oman, Luke D.; Pitari, Giovanni; Pozzer, Andrea; Quaglia, Ilaria; Revell, Laura E.; Rozanov, Eugene; Stenke, Andrea; Stone, Kane; Strahan, Susan E.; Tilmes, Simone; Tost, Holger; Westervelt, Daniel M.; Zeng, Guang (Journal article; Peer reviewed, 2020)The hydroxyl radical (OH) plays critical roles within the troposphere, such as determining the lifetime of methane (CH4), yet is challenging to model due to its fast cycling and dependence on a multitude of sources and ... -
Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections
Nicholls, Z.; Meinshausen, Malte; Lewis, J.; Corradi, M. Rojas; Dorheim, K.; Gasser, Thomas; Gieseke, R.; Hope, A.P.; Leach, N.J.; McBride, L.A.; Quilcaille, Y.; Rogelj, Joeri; Salawitch, Ross J.; Samset, B.H.; Sandstad, Marit; Shiklomanov, A.; Skeie, Ragnhild Bieltvedt; Smith, Christopher J.; Smith, Steven J.; Su, X.; Tsutsui, J.; Vega-Westhoff, B.; Woodard, D.L. (Journal article; Peer reviewed, 2021)Over the last decades, climate science has evolved rapidly across multiple expert domains. Our best tools to capture state-of-the-art knowledge in an internally self-consistent modeling framework are the increasingly complex ...