Improved methodologies for modelling atmospheric soluble iron and observation comparisons using the Mechanism of Intermediate complexity for Modelling Iron (MIMI v.1.0) and the impact on ocean biogeochemistry.
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W[2019AGUFM.B53I2514M]
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ADS bibcode
2019AGUFM.B53I2514M
year
2019
Listed Authors
Mahowald, N. M. Hamilton, D. S. Scanza, R. Moore, J. K. Feng, Y. Guinness, J. Hantson, S. Kaplan, J. O. Kok, J. F. Li, L. Rathod, S. D. Wan, J. S. Liu, X. Wu, M.
Listed Institutions
Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States Cornell University, Ithaca, NY, United States Earth System Science, University of California Irvine, Irvine, CA, United States Environmental Science Division, Argonne National Laboratory, Argonne, IL, United States Cornell University, Ithaca, United States University of California Irvine, Irvine, CA, United States École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland Atmospheric and Oceanic Sciences, University of California Los Angeles, Los Angeles, CA, United States Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, United States University of Illinois at Urbana Champaign, Urbana, IL, United States Cornell University, Ithaca, NY, United States Department of Atmospheric Science, University of Wyoming, Laramie, WY, United States Department of Atmospheric Science, University of Wyoming, Laramie, WY, United States
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