Back to Search Start Over

The MOSAiC Distributed Network: Observing the coupled Arctic system with multidisciplinary, coordinated platforms

Authors :
Rabe, Benjamin
Cox, Christopher J
Fang, Ying-Chih
Goessling, Helge
Granskog, Mats A
Hoppmann, Mario
Hutchings, Jennifer K
Krumpen, Thomas
Kuznetsov, Ivan
Lei, Ruibo
Li, Tao
Maslowski, Wieslaw
Nicolaus, Marcel
Perovich, Don
Persson, Ola
Regnery, Julia
Rigor, Ignatius
Shupe, Matthew D
Sokolov, Vladimir
Spreen, Gunnar
Stanton, Tim
Watkins, Daniel M
Blockley, Ed
Buenger, H Jakob
Cole, Sylvia
Fong, Allison
Haapala, Jari
Heuzé, Céline
Hoppe, Clara JM
Janout, Markus
Jutila, Arttu
Katlein, Christian
Krishfield, Richard
Lin, Long
Ludwig, Valentin
Morgenstern, Anne
O’Brien, Jeff
Zurita, Alejandra Quintanilla
Rackow, Thomas
Riemann-Campe, Kathrin
Rohde, Jan
Shaw, William
Smolyanitsky, Vasily
Solomon, Amy
Sperling, Anneke
Tao, Ran
Toole, John
Tsamados, Michel
Zhu, Jialiang
Zuo, Guangyu
Rabe, Benjamin
Cox, Christopher J
Fang, Ying-Chih
Goessling, Helge
Granskog, Mats A
Hoppmann, Mario
Hutchings, Jennifer K
Krumpen, Thomas
Kuznetsov, Ivan
Lei, Ruibo
Li, Tao
Maslowski, Wieslaw
Nicolaus, Marcel
Perovich, Don
Persson, Ola
Regnery, Julia
Rigor, Ignatius
Shupe, Matthew D
Sokolov, Vladimir
Spreen, Gunnar
Stanton, Tim
Watkins, Daniel M
Blockley, Ed
Buenger, H Jakob
Cole, Sylvia
Fong, Allison
Haapala, Jari
Heuzé, Céline
Hoppe, Clara JM
Janout, Markus
Jutila, Arttu
Katlein, Christian
Krishfield, Richard
Lin, Long
Ludwig, Valentin
Morgenstern, Anne
O’Brien, Jeff
Zurita, Alejandra Quintanilla
Rackow, Thomas
Riemann-Campe, Kathrin
Rohde, Jan
Shaw, William
Smolyanitsky, Vasily
Solomon, Amy
Sperling, Anneke
Tao, Ran
Toole, John
Tsamados, Michel
Zhu, Jialiang
Zuo, Guangyu
Source :
EPIC3Elem Sci Anth, University of California Press, 12(1), ISSN: 2325-1026
Publication Year :
2024

Abstract

<jats:p>Central Arctic properties and processes are important to the regional and global coupled climate system. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network (DN) of autonomous ice-tethered systems aimed to bridge gaps in our understanding of temporal and spatial scales, in particular with respect to the resolution of Earth system models. By characterizing variability around local measurements made at a Central Observatory, the DN covers both the coupled system interactions involving the ocean-ice-atmosphere interfaces as well as three-dimensional processes in the ocean, sea ice, and atmosphere. The more than 200 autonomous instruments (“buoys”) were of varying complexity and set up at different sites mostly within 50 km of the Central Observatory. During an exemplary midwinter month, the DN observations captured the spatial variability of atmospheric processes on sub-monthly time scales, but less so for monthly means. They show significant variability in snow depth and ice thickness, and provide a temporally and spatially resolved characterization of ice motion and deformation, showing coherency at the DN scale but less at smaller spatial scales. Ocean data show the background gradient across the DN as well as spatially dependent time variability due to local mixed layer sub-mesoscale and mesoscale processes, influenced by a variable ice cover. The second case (May–June 2020) illustrates the utility of the DN during the absence of manually obtained data by providing continuity of physical and biological observations during this key transitional period. We show examples of synergies between the extensive MOSAiC remote sensing observations and numerical modeling, such as estimating the skill of ice drift forecasts and evaluating coupled system modeling. The MOSAiC DN has been proven to enable analysis of local to mesoscale processes in the coupled atmosphere-ice-ocean system and has the potential to improve m

Details

Database :
OAIster
Journal :
EPIC3Elem Sci Anth, University of California Press, 12(1), ISSN: 2325-1026
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1449535630
Document Type :
Electronic Resource