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13. Derivation and compilation of lower atmospheric properties relating to temperature, wind, stability, moisture, and surface radiation budget over the central Arctic sea ice during MOSAiC

Author

Jozef, Gina C., Klingel, Robert, Cassano, John J., Maronga, Björn, Boer, Gijs, Dahlke, Sandro, and Cox, Christopher J.

Abstract

Atmospheric measurements taken over the span of an entire year between October 2019 and September 2020 during the icebreaker-based Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition provide insight into processes acting in the Arctic atmosphere. Through the merging of disparate, yet complementary in situ observations, we can derive information about these thermodynamic and kinematic processes with great detail. This paper describes methods used to create a lower atmospheric properties dataset containing information on several key features relating to the central Arctic atmospheric boundary layer, including properties of temperature inversions, low-level jets, near-surface meteorological conditions, cloud cover, and the surface radiation budget. The lower atmospheric properties dataset was developed using observations from radiosondes launched at least four times per day, a 10 m meteorological tower and radiation station deployed on the sea ice near the Research Vessel Polarstern, and a ceilometer located on the deck of the Polarstern. This lower atmospheric properties dataset, which can be found at *insert DOI when published*, contains metrics which fall into the overarching categories of temperature, wind, stability, clouds, and radiation at the time of each radiosonde launch. The purpose of the lower atmospheric properties dataset is to provide a consistent description of general atmospheric boundary layer conditions throughout the MOSAiC year which can aid in research applications with the overall goal of gaining a greater understanding of the atmospheric processes governing the central Arctic and how they may contribute to future climate change.

Published
2023

16. Estimating turbulent energy flux vertical profiles from uncrewed aircraft system measurements: exemplary results for the MOSAiC campaign

Author

Egerer, Ulrike, primary, Cassano, John J., additional, Shupe, Matthew D., additional, de Boer, Gijs, additional, Lawrence, Dale, additional, Doddi, Abhiram, additional, Siebert, Holger, additional, Jozef, Gina, additional, Calmer, Radiance, additional, Hamilton, Jonathan, additional, Pilz, Christian, additional, and Lonardi, Michael, additional

Published
2023
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19. Forcing For Varying Boundary Layer Stability Across Antarctica.

Author

Dice, Mckenzie J., Cassano, John J., and Jozef, Gina C.

Subjects
BOUNDARY layer (Aerodynamics), BOUNDARY layer control, POLITICAL stability, RADIATIVE forcing, WIND speed, MIXING height (Atmospheric chemistry), ICE cores
Abstract

The relative importance of changes in radiative forcing (downwelling longwave radiation) and mechanical mixing (20 m wind speed) in controlling boundary layer stability annually and seasonally at five study sites across the Antarctica continent is presented. From near-neutral to extremely strong near-surface stability, radiative forcing decreases with increasing stability, as expected, and is shown to be a major driving force behind variations in near-surface stability at all five sites. Mechanical mixing usually decreases with increasing near-surface stability for regimes with weak to extremely strong stability. For the cases where near-neutral, very shallow mixed, and weak stability occur, the wind speed in the very shallow mixed case is usually weaker compared to the near-neutral and weak stability cases while radiative forcing is largest for the near-neutral cases. This finding is an important distinguishing factor for the unique case where a very shallow mixed layer is present, indicating that weaker mechanical mixing in this case is likely responsible for the shallower boundary layer that defines the very shallow mixed stability regime. For cases with enhanced stability above a layer of weaker near-surface stability, lower downwelling longwave radiation promotes the persistence of the stronger stability aloft, while stronger near-surface winds act to maintain weaker stability immediately near the surface, resulting in this two-layer boundary layer stability regime. [ABSTRACT FROM AUTHOR]

Published
2023
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20. Variations in Boundary Layer Stability Across Antarctica: A Comparison Between Coastal and Interior Sites.

Author

Dice, Mckenzie June, Cassano, John, Jozef, Gina Clara, and Seefeldt, Mark

Subjects
BOUNDARY layer (Aerodynamics), TEMPERATURE lapse rate, SELF-organizing maps, POLITICAL stability
Abstract

The range of boundary layer stability profiles, from the surface to 500 m above ground level, present in radiosonde observations from two continental interior (South Pole and Dome Concordia) and three coastal (McMurdo, Georg von Neumayer III, and Syowa) Antarctic sites, is examined using the self-organizing maps (SOMs) neural network algorithm. A wide range of potential temperature profiles is revealed, from shallow boundary layers with strong near-surface stability to deeper boundary layers with weaker or near-neutral stability, as well as profiles with weaker near-surface stability and enhanced stability aloft, above the boundary layer. Boundary layer regimes were defined based on the range of profiles revealed by the SOM analysis. Twenty boundary layer regimes were identified to account for differences in stability near the surface as well as above the boundary layer. Strong, very strong, or extremely strong stability, with vertical potential temperature gradients of 5 to in excess of 30 K (100 m)-1, occurred more than 80 % of the time at South Pole and Dome Concordia in the winter. Weaker stability was found in the winter at the coastal sites, with moderate and strong stability (vertical potential temperature gradients of 1.75 to 15 K (100 m)-1) occurring 70 % to 85 % of the time. Even in the summer, moderate and strong stability is found across all five sites, either immediately near the surface or aloft, just above the boundary layer. While the mean boundary layer height at the continental interior sites was found to be approximately 50 m, the mean boundary layer height at the costal sites was deeper, around 110 m. Further, a commonly described two stability regime system in the Arctic associated with clear or cloudy conditions was applied to the 20 boundary layer regimes identified in this study to understand if the two-regime behavior is also observed in the Antarctic. It was found that moderate and strong stability occur more often with clear than cloudy sky conditions, but weaker stability regimes occur almost equally for clear and cloudy conditions. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Overview of the MOSAiC expedition - Atmosphere

Author

Shupe, Matthew D., Rex, Markus, Blomquist, Byron, Persson, P. Ola G., Schmale, Julia, Uttal, Taneil, Althausen, Dietrich, Angot, Hélène, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Bucci, Silvia, Buck, Clifton, Boyer, Matt, Brasseur, Zoé, Brooks, Ian M., Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J., Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, de Boer, Gijs, Deckelmann, Holger, Dethloff, Klaus, Dütsch, Marina, Ebell, Kerstin, Ehrlich, André, Ellis, Jody, Engelmann, Ronny, Fong, Allison A., Frey, Markus M., Gallagher, Michael R., Ganzeveld, Laurens, Gradinger, Rolf, Graeser, Jürgen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Günther, Helmig, Detlev, Herber, Andreas, Heuzé, Céline, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Lüpkes, Christof, Maahn, Maximilian, Macke, Andreas, Maslowski, Wieslaw, Marsay, Christopher, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Pätzold, Falk, Perovich, Donald K., Petäjä, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A., Preußer, Andreas, Quéléver, Lauriane, Radenz, Martin, Rabe, Benjamin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stephens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M., Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, Yue, Fange, Shupe, Matthew D., Rex, Markus, Blomquist, Byron, Persson, P. Ola G., Schmale, Julia, Uttal, Taneil, Althausen, Dietrich, Angot, Hélène, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Bucci, Silvia, Buck, Clifton, Boyer, Matt, Brasseur, Zoé, Brooks, Ian M., Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J., Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, de Boer, Gijs, Deckelmann, Holger, Dethloff, Klaus, Dütsch, Marina, Ebell, Kerstin, Ehrlich, André, Ellis, Jody, Engelmann, Ronny, Fong, Allison A., Frey, Markus M., Gallagher, Michael R., Ganzeveld, Laurens, Gradinger, Rolf, Graeser, Jürgen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Günther, Helmig, Detlev, Herber, Andreas, Heuzé, Céline, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Lüpkes, Christof, Maahn, Maximilian, Macke, Andreas, Maslowski, Wieslaw, Marsay, Christopher, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Pätzold, Falk, Perovich, Donald K., Petäjä, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A., Preußer, Andreas, Quéléver, Lauriane, Radenz, Martin, Rabe, Benjamin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stephens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M., Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, and Yue, Fange

Abstract

With the Arctic rapidly changing, the needs to observe, understand, and model the changes are essential. To support these needs, an annual cycle of observations of atmospheric properties, processes, and interactions were made while drifting with the sea ice across the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. An international team designed and implemented the comprehensive program to document and characterize all aspects of the Arctic atmospheric system in unprecedented detail, using a variety of approaches, and across multiple scales. These measurements were coordinated with other observational teams to explore cross-cutting and coupled interactions with the Arctic Ocean, sea ice, and ecosystem through a variety of physical and biogeochemical processes. This overview outlines the breadth and complexity of the atmospheric research program, which was organized into 4 subgroups: atmospheric state, clouds and precipitation, gases and aerosols, and energy budgets. Atmospheric variability over the annual cycle revealed important influences from a persistent large-scale winter circulation pattern, leading to some storms with pressure and winds that were outside the interquartile range of past conditions suggested by long-term reanalysis. Similarly, the MOSAiC location was warmer and wetter in summer than the reanalysis climatology, in part due to its close proximity to the sea ice edge. The comprehensiveness of the observational program for characterizing and analyzing atmospheric phenomena is demonstrated via a winter case study examining air mass transitions and a summer case study examining vertical atmospheric evolution. Overall, the MOSAiC atmospheric program successfully met its objectives and was the most comprehensive atmospheric measurement program to date conducted over the Arctic sea ice. The obtained data will support a broad range of coupled-system

Published
2022

23. Testing the efficacy of atmospheric boundary layer height detection algorithms using uncrewed aircraft system data from MOSAiC

Author

Jozef, Gina, Cassano, John, Dahlke, Sandro, de Boer, Gijs, Jozef, Gina, Cassano, John, Dahlke, Sandro, and de Boer, Gijs

Abstract

During the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, meteorological conditions over the lowest 1 km of the atmosphere were sampled with the DataHawk2 (DH2) fixed-wing uncrewed aircraft system (UAS). These in situ observations of the central Arctic atmosphere are some of the most extensive to date and provide unique insight into the atmospheric boundary layer (ABL) structure. The ABL is an important component of the Arctic climate, as it can be closely coupled to cloud properties, surface fluxes, and the atmospheric radiation budget. The high temporal resolution of the UAS observations allows us to manually identify the ABL height (ZABL) for 65 out of the total 89 flights conducted over the central Arctic Ocean between 23 March and 26 July 2020 by visually analyzing profiles of virtual potential temperature, humidity, and bulk Richardson number. Comparing this subjective ZABL with ZABL identified by various previously published automated objective methods allows us to determine which objective methods are most successful at accurately identifying ZABL in the central Arctic environment and how the success of the methods differs based on stability regime. The objective methods we use are the Liu–Liang, Heffter, virtual potential temperature gradient maximum, and bulk Richardson number methods. In the process of testing these objective methods on the DH2 data, numerical thresholds were adapted to work best for the UAS-based sampling. To determine if conclusions are robust across different measurement platforms, the subjective and objective ZABL determination processes were repeated using the radiosonde profile closest in time to each DH2 flight. For both the DH2 and radiosonde data, it is determined that the bulk Richardson number method is the most successful at identifying ZABL, while the Liu–Liang method is least successful. The results of this study are expected to be beneficial for upcoming observational and modelin

Published
2022

24. Overview of the MOSAiC expedition: Atmosphere

Author

Shupe, Matthew D, Rex, Markus, Blomquist, Byron, Persson, POG, Schmale, J, Uttal, Taneil, Althausen, Dietrich, Angot, Hélène, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Boyer, Matt, Brasseur, Zoe, Brooks, Ian M, Bucci, Silvia, Buck, Clifton, Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J, Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, De Boer, G, Deckelmann, Holger, Dethloff, Klaus, Dütsch, Marina, Ebell, Kerstin, Ehrlich, André, Ellis, Jody, Engelmann, Ronny, Fong, Allison A, Frey, Markus M, Gallagher, Michael R, Ganzeveld, L, Gradinger, Rolf, Graeser, Juergen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Günther, Helmig, Detlev, Herber, Andreas, Heuzé, Céline, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William M, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Lüpkes, Christof, Maahn, Max, Macke, Andreas, Marsay, Christopher, Maslowski, Wieslaw, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Pätzold, Falk, Perovich, Donald K, Petäjä, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A, Preußer, Andreas, Quelever, Lauriane, Rabe, Benjamin, Radenz, Martin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stevens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M, Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, Yue, Fange, Shupe, Matthew D, Rex, Markus, Blomquist, Byron, Persson, POG, Schmale, J, Uttal, Taneil, Althausen, Dietrich, Angot, Hélène, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Boyer, Matt, Brasseur, Zoe, Brooks, Ian M, Bucci, Silvia, Buck, Clifton, Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J, Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, De Boer, G, Deckelmann, Holger, Dethloff, Klaus, Dütsch, Marina, Ebell, Kerstin, Ehrlich, André, Ellis, Jody, Engelmann, Ronny, Fong, Allison A, Frey, Markus M, Gallagher, Michael R, Ganzeveld, L, Gradinger, Rolf, Graeser, Juergen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Günther, Helmig, Detlev, Herber, Andreas, Heuzé, Céline, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William M, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Lüpkes, Christof, Maahn, Max, Macke, Andreas, Marsay, Christopher, Maslowski, Wieslaw, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Pätzold, Falk, Perovich, Donald K, Petäjä, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A, Preußer, Andreas, Quelever, Lauriane, Rabe, Benjamin, Radenz, Martin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stevens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M, Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, and Yue, Fange

Abstract

With the Arctic rapidly changing, the needs to observe, understand, and model the changes are essential. To support these needs, an annual cycle of observations of atmospheric properties, processes, and interactions were made while drifting with the sea ice across the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. An international team designed and implemented the comprehensive program to document and characterize all aspects of the Arctic atmospheric system in unprecedented detail, using a variety of approaches, and across multiple scales. These measurements were coordinated with other observational teams to explore cross- cutting and coupled interactions with the Arctic Ocean, sea ice, and ecosystem through a variety of physical and biogeochemical processes. This overview outlines the breadth and complexity of the atmospheric research program, which was organized into 4 subgroups: atmospheric state, clouds and precipitation, gases and aerosols, and energy budgets. Atmospheric variability over the annual cycle revealed important influences from a persistent large-scale winter circulation pattern, leading to some storms with pressure and winds that were outside the interquartile range of past conditions suggested by long-term reanalysis. Similarly, the MOSAiC location was warmer and wetter in summer than the reanalysis climatology, in part due to its close proximity to the sea ice edge.The comprehensiveness of the observational program for characterizing and analyzing atmospheric phenomena is demonstrated via a winter case study examining air mass transitions and a summer case study examining vertical atmospheric evolution. Overall, the MOSAiC atmospheric program successfully met its objectives and was the most comprehensive atmospheric measurement program to date conducted over the Arctic sea ice. The obtained data will support a broad range of coupled-system

Published
2022

25. Overview of the MOSAiC expedition-Atmosphere INTRODUCTION

Author

Shupe, Matthew D., Rex, Markus, Blomquist, Byron, Persson, P. Ola G., Schmale, Julia, Uttal, Taneil, Althausen, Dietrich, Angot, Helene, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Bucci, Silvia, Buck, Clifton, Boyer, Matt, Brasseur, Zoe, Brooks, Ian M., Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J., Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, de Boer, Gijs, Deckelmann, Holger, Dethloff, Klaus, Duetsch, Marina, Ebell, Kerstin, Ehrlich, Andre, Ellis, Jody, Engelmann, Ronny, Fong, Allison A., Frey, Markus M., Gallagher, Michael R., Ganzeveld, Laurens, Gradinger, Rolf, Graeser, Juergen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Guenther, Helmig, Detlev, Herber, Andreas, Heuze, Celine, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Luepkes, Christof, Maahn, Maximilian, Macke, Andreas, Maslowski, Wieslaw, Marsay, Christopher, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Paetzold, Falk, Perovich, Donald K., Petaja, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A., Preusser, Andreas, Quelever, Lauriane, Radenz, Martin, Rabe, Benjamin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stephens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M., Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, Yue, Fange, Shupe, Matthew D., Rex, Markus, Blomquist, Byron, Persson, P. Ola G., Schmale, Julia, Uttal, Taneil, Althausen, Dietrich, Angot, Helene, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Bilberry, John, Bucci, Silvia, Buck, Clifton, Boyer, Matt, Brasseur, Zoe, Brooks, Ian M., Calmer, Radiance, Cassano, John, Castro, Vagner, Chu, David, Costa, David, Cox, Christopher J., Creamean, Jessie, Crewell, Susanne, Dahlke, Sandro, Damm, Ellen, de Boer, Gijs, Deckelmann, Holger, Dethloff, Klaus, Duetsch, Marina, Ebell, Kerstin, Ehrlich, Andre, Ellis, Jody, Engelmann, Ronny, Fong, Allison A., Frey, Markus M., Gallagher, Michael R., Ganzeveld, Laurens, Gradinger, Rolf, Graeser, Juergen, Greenamyer, Vernon, Griesche, Hannes, Griffiths, Steele, Hamilton, Jonathan, Heinemann, Guenther, Helmig, Detlev, Herber, Andreas, Heuze, Celine, Hofer, Julian, Houchens, Todd, Howard, Dean, Inoue, Jun, Jacobi, Hans-Werner, Jaiser, Ralf, Jokinen, Tuija, Jourdan, Olivier, Jozef, Gina, King, Wessley, Kirchgaessner, Amelie, Klingebiel, Marcus, Krassovski, Misha, Krumpen, Thomas, Lampert, Astrid, Landing, William, Laurila, Tiia, Lawrence, Dale, Lonardi, Michael, Loose, Brice, Luepkes, Christof, Maahn, Maximilian, Macke, Andreas, Maslowski, Wieslaw, Marsay, Christopher, Maturilli, Marion, Mech, Mario, Morris, Sara, Moser, Manuel, Nicolaus, Marcel, Ortega, Paul, Osborn, Jackson, Paetzold, Falk, Perovich, Donald K., Petaja, Tuukka, Pilz, Christian, Pirazzini, Roberta, Posman, Kevin, Powers, Heath, Pratt, Kerri A., Preusser, Andreas, Quelever, Lauriane, Radenz, Martin, Rabe, Benjamin, Rinke, Annette, Sachs, Torsten, Schulz, Alexander, Siebert, Holger, Silva, Tercio, Solomon, Amy, Sommerfeld, Anja, Spreen, Gunnar, Stephens, Mark, Stohl, Andreas, Svensson, Gunilla, Uin, Janek, Viegas, Juarez, Voigt, Christiane, von der Gathen, Peter, Wehner, Birgit, Welker, Jeffrey M., Wendisch, Manfred, Werner, Martin, Xie, ZhouQing, and Yue, Fange

Abstract

With the Arctic rapidly changing, the needs to observe, understand, and model the changes are essential. To support these needs, an annual cycle of observations of atmospheric properties, processes, and interactions were made while drifting with the sea ice across the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. An international team designed and implemented the comprehensive program to document and characterize all aspects of the Arctic atmospheric system in unprecedented detail, using a variety of approaches, and across multiple scales. These measurements were coordinated with other observational teams to explore crosscutting and coupled interactions with the Arctic Ocean, sea ice, and ecosystem through a variety of physical and biogeochemical processes. This overview outlines the breadth and complexity of the atmospheric research program, which was organized into 4 subgroups: atmospheric state, clouds and precipitation, gases and aerosols, and energy budgets. Atmospheric variability over the annual cycle revealed important influences from a persistent large-scale winter circulation pattern, leading to some storms with pressure and winds that were outside the interquartile range of past conditions suggested by long-term reanalysis. Similarly, the MOSAiC location was warmer and wetter in summer than the reanalysis climatology, in part due to its close proximity to the sea ice edge. The comprehensiveness of the observational program for characterizing and analyzing atmospheric phenomena is demonstrated via a winter case study examining air mass transitions and a summer case study examining vertical atmospheric evolution. Overall, the MOSAiC atmospheric program successfully met its objectives and was the most comprehensive atmospheric measurement program to date conducted over the Arctic sea ice. The obtained data will support a broad range of coupled-system s

Published
2022

26. Thermodynamic and Kinematic Drivers of Atmospheric Boundary Layer Stability in the Central Arctic during MOSAiC.

Author

Jozef, Gina C., Cassano, John J., Dahlke, Sandro, Dice, Mckenzie, Cox, Christopher J., and de Boer, Gijs

Abstract

Observations collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) provide a detailed description of the impact of thermodynamic and kinematic forcings on atmospheric boundary layer (ABL) stability in the central Arctic. This study reveals that the Arctic ABL is stable and near-neutral with similar frequencies, and strong stability is the most persistent of all stability regimes. MOSAiC radiosonde observations, in conjunction with observations from additional measurement platforms including a 10 m meteorological tower, ceilometer, microwave radiometer, and radiation station, provide insight into the relationships between atmospheric stability and various atmospheric thermodynamic and kinematic forcings of ABL turbulence, and how these relationships differ by season. We found that stronger stability largely occurs in low wind (i.e., wind speeds are slow), low radiation (i.e., surface radiative fluxes are minimal) environments, a very shallow mixed ABL forms in low wind, high radiation environments, weak stability occurs in high wind, moderate radiation environments, and a near-neutral ABL forms in high wind, high radiation environments. Surface pressure (a proxy for synoptic staging) partially explains the observed wind speeds for different stability regimes. Cloud frequency and atmospheric moisture contribute to the observed surface radiation budget. Unique to summer, stronger stability may also form when moist air is advected from over the warmer open ocean to over the colder sea ice surface, which decouples the colder near-surface atmosphere from the advected layer, and is identifiable through observations of fog and atmospheric moisture. [ABSTRACT FROM AUTHOR]

Published
2023
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27. An Overview of the Vertical Structure of the Atmospheric Boundary Layer in the Central Arctic during MOSAiC.

Author

Jozef, Gina C., Cassano, John J., Dahlke, Sandro, Dice, Mckenzie, Cox, Christopher J., and de Boer, Gijs

Abstract

Observations collected during the Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC) provide an annual cycle of the vertical thermodynamic and kinematic structure of the atmospheric boundary layer (ABL) in the central Arctic. A self-organizing map (SOM) analysis conducted using radiosonde observations shows a range in the Arctic ABL vertical structure from very shallow and stable, with a strong surfacebased virtual potential temperature (v) inversion, to deep and near-neutral, with a weak elevated v inversion. Profile observations from the DataHawk2 uncrewed aircraft system between 23 March and 26 July 2020 largely sampled the same profile structures, which can be further analyzed to provide unique insight into the turbulent characteristics of the ABL. The patterns identified by the SOM allowed for the derivation of criteria to categorize stability within and just above the ABL, which reveals that the Arctic ABL is stable and near-neutral with similar frequencies. In conjunction with observations from additional measurement platforms, including a 10 m meteorological tower, ceilometer, and microwave radiometer, the radiosonde observations provide insight into the relationships between atmospheric stability and a variety of atmospheric thermodynamic and kinematic features. The average ABL height was found to be 150 m, and ABL height increases with decreasing stability. A low-level jet was observed in 76% of the radiosondes, with an average height of 401 m and an average speed of 11.5 m s-1. At least one temperature inversion below 5 km was observed in 99.7% of the radiosondes, with an average base height of 260 m and an average intensity of 4.8 °C. The only cases without a temperature inversion were those with weak stability aloft. Clouds were observed within the 30 minutes preceding radiosonde launch 64% of the time. These were typically low clouds, and high clouds largely coincide with a stable ABL. The amount of atmospheric moisture present increases with decreasing stability. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Overview of the MOSAiC expedition: Atmosphere

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Shupe, Matthew D., primary, Rex, Markus, additional, Blomquist, Byron, additional, Persson, P. Ola G., additional, Schmale, Julia, additional, Uttal, Taneil, additional, Althausen, Dietrich, additional, Angot, Hélène, additional, Archer, Stephen, additional, Bariteau, Ludovic, additional, Beck, Ivo, additional, Bilberry, John, additional, Bucci, Silvia, additional, Buck, Clifton, additional, Boyer, Matt, additional, Brasseur, Zoé, additional, Brooks, Ian M., additional, Calmer, Radiance, additional, Cassano, John, additional, Castro, Vagner, additional, Chu, David, additional, Costa, David, additional, Cox, Christopher J., additional, Creamean, Jessie, additional, Crewell, Susanne, additional, Dahlke, Sandro, additional, Damm, Ellen, additional, de Boer, Gijs, additional, Deckelmann, Holger, additional, Dethloff, Klaus, additional, Dütsch, Marina, additional, Ebell, Kerstin, additional, Ehrlich, André, additional, Ellis, Jody, additional, Engelmann, Ronny, additional, Fong, Allison A., additional, Frey, Markus M., additional, Gallagher, Michael R., additional, Ganzeveld, Laurens, additional, Gradinger, Rolf, additional, Graeser, Jürgen, additional, Greenamyer, Vernon, additional, Griesche, Hannes, additional, Griffiths, Steele, additional, Hamilton, Jonathan, additional, Heinemann, Günther, additional, Helmig, Detlev, additional, Herber, Andreas, additional, Heuzé, Céline, additional, Hofer, Julian, additional, Houchens, Todd, additional, Howard, Dean, additional, Inoue, Jun, additional, Jacobi, Hans-Werner, additional, Jaiser, Ralf, additional, Jokinen, Tuija, additional, Jourdan, Olivier, additional, Jozef, Gina, additional, King, Wessley, additional, Kirchgaessner, Amelie, additional, Klingebiel, Marcus, additional, Krassovski, Misha, additional, Krumpen, Thomas, additional, Lampert, Astrid, additional, Landing, William, additional, Laurila, Tiia, additional, Lawrence, Dale, additional, Lonardi, Michael, additional, Loose, Brice, additional, Lüpkes, Christof, additional, Maahn, Maximilian, additional, Macke, Andreas, additional, Maslowski, Wieslaw, additional, Marsay, Christopher, additional, Maturilli, Marion, additional, Mech, Mario, additional, Morris, Sara, additional, Moser, Manuel, additional, Nicolaus, Marcel, additional, Ortega, Paul, additional, Osborn, Jackson, additional, Pätzold, Falk, additional, Perovich, Donald K., additional, Petäjä, Tuukka, additional, Pilz, Christian, additional, Pirazzini, Roberta, additional, Posman, Kevin, additional, Powers, Heath, additional, Pratt, Kerri A., additional, Preußer, Andreas, additional, Quéléver, Lauriane, additional, Radenz, Martin, additional, Rabe, Benjamin, additional, Rinke, Annette, additional, Sachs, Torsten, additional, Schulz, Alexander, additional, Siebert, Holger, additional, Silva, Tercio, additional, Solomon, Amy, additional, Sommerfeld, Anja, additional, Spreen, Gunnar, additional, Stephens, Mark, additional, Stohl, Andreas, additional, Svensson, Gunilla, additional, Uin, Janek, additional, Viegas, Juarez, additional, Voigt, Christiane, additional, von der Gathen, Peter, additional, Wehner, Birgit, additional, Welker, Jeffrey M., additional, Wendisch, Manfred, additional, Werner, Martin, additional, Xie, ZhouQing, additional, and Yue, Fange, additional

Published
2022
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