ADEOS-II User's Handbook

Total Page:16

File Type:pdf, Size:1020Kb

ADEOS-II User's Handbook ADEOS-II - Advanced Earth Observing Satellite-II - Reference Handbook Introduction Chapter 1 ADEOS-II Science Research Plan 1. Targets and objectives............................................................................................ 1 1.1 Targets..................................................................................................................... 1 1.2 Objectives ............................................................................................................... 2 2. Aeronomy .............................................................................................................. 3 2.1 Aeronomy with ADEOS-II..................................................................................... 3 2.2 Investigation into water cycle involving clouds ..................................................... 4 2.3 Investigation into influence on aerosols ................................................................. 5 2.4 Investigation into aeronomy in the polar regions ................................................... 5 3. Oceanography ........................................................................................................ 6 3.1 Oceanography with ADEOS-II............................................................................... 6 3.2 Marine metrology and physical oceanography....................................................... 7 3.2.1 Sea surface fluxes measurement using the satellite ....................................... 7 3.2.2 Investigation into ocean circulation mechanism............................................ 8 3.3 Marine biophysics................................................................................................. 10 3.3.1 Estimates of biomass and productivity ........................................................ 10 3.3.2 Investigation into mechanism of constituents circulation and food chain in ocean ............................................................................................................ 11 4 Hydrology ............................................................................................................ 13 4.1 Development of Hydrology with ADEOS-II........................................................ 13 4.2 Estimates of Primary Order of Water Amount ..................................................... 14 4.3 Tasks of Algorithm Development and Validation................................................ 18 5. CRYOLOGY ....................................................................................................... 19 5.1 Development of Cryology with ADEOS-II .......................................................... 19 5.2 Change in distribution of Ocean Ice, Glacial and Ice Sheet /Science with Microwave ............................................................................................................ 20 5.3 Science with Optical Observations ....................................................................... 21 6. Vegetation............................................................................................................ 24 6.1 Importance of observing vegetation with ADEOS-II ........................................... 24 6.2 Investigation into water-energy cycle process...................................................... 24 6.3 Assumption of carbon cycle and plant primary productivity................................ 24 6.4 Monitoring greenhouse effects ............................................................................. 25 6.5 Contribution to vegetation research and practical use .......................................... 25 7. For Comprehensive understanding ...................................................................... 26 8. Combination of remote sensing data with numerical value models .................... 28 9. Field program....................................................................................................... 31 1. GLI....................................................................................................................... 33 1.1 Scientific objectives.............................................................................................. 33 1.2 Overview of Mission Instruments......................................................................... 35 1.3 Specific ................................................................................................................. 38 1.3.1 Types of Higher-order Products................................................................... 38 1.3.2 Definition of Higher-order Products............................................................ 38 1.3.2.1 Standard Products ................................................................................. 38 1.3.2.2 Near-Real-Time Products ..................................................................... 38 i 1.3.2.3 Browse Data.......................................................................................... 38 1.3.2.4 Research Product .................................................................................. 39 1.3.3 Scene Definition........................................................................................... 46 1.3.4 Processing Level Definitions ....................................................................... 46 1.3.4.1 Level 1 .................................................................................................. 46 1.3.4.2 Level 2A (GLI-1km)............................................................................. 46 1.3.4.3 Level 2 .................................................................................................. 47 1.3.4.4 Level 2MAP.......................................................................................... 49 1.3.4.5 Level 3 Binned...................................................................................... 51 1.3.4.6 Level 3 STA Map.................................................................................. 56 1.3.5 Image Catalog (GLI 1km)............................................................................ 59 1.3.6 Standard Product Processing Format........................................................... 60 1.3.7 GAIT............................................................................................................ 61 1.3.7.1 GAIT Organization ............................................................................... 61 1.3.7.2 GAIT Analysis and Evaluation Functions ............................................ 61 1.3.8 GLI First-light images.................................................................................. 66 1.4 Calibration and Validation.................................................................................... 68 1.4.1 Calibration and Validation Plan................................................................... 68 1.4.1.1 Overview............................................................................................... 68 1.4.1.2 Definitions............................................................................................. 69 1.4.1.3 System................................................................................................... 70 1.4.1.4 Schedule................................................................................................ 72 1.4.1.5 Information Disclosure Policy .............................................................. 73 1.4.2 Calibration Plan ........................................................................................... 76 1.4.2.1 Solar-Ray Calibration and Internal-Lamp Calibration ......................... 76 1.4.2.2 Black-Body Calibration ........................................................................ 78 1.4.2.3 Geometric Calibration........................................................................... 79 1.4.2.4 Evaluation of Sensor Characteristics and Image Quality ..................... 80 1.4.2.5 Vicarious Calibration, Cross Calibration.............................................. 82 1.4.2.6 L1-Process Software ............................................................................. 84 1.4.3 Validation Plan............................................................................................. 85 1.4.3.1 Atmosphere........................................................................................... 85 1.4.3.2 Ocean .................................................................................................... 87 1.4.3.3 Land ...................................................................................................... 89 1.4.3.4 Cryosphere ............................................................................................ 91 2. AMSR ................................................................................................................... 93 2.1 Scientific Objectives ............................................................................................. 93 2.2 Overview of the Mission Instruments................................................................... 94 2.3 Specific ................................................................................................................. 96 2.3.1 Products........................................................................................................ 96 2.3.2 Definition of higher-order products............................................................. 96 2.3.2.1 Standard products.................................................................................. 96 2.3.2.2
Recommended publications
  • Properties of Snow Overlying the Sea Ice Off East Antarctica in Late Winter, 2007
    Title Properties of snow overlying the sea ice off East Antarctica in late winter, 2007 Author(s) Toyota, Takenobu; Massom, Robert; Tateyama, Kazutaka; Tamura, Takeshi; Fraser, Alexander Deep Sea Research Part II : Topical Studies in Oceanography, 58(9-10), 1137-1148 Citation https://doi.org/10.1016/j.dsr2.2010.12.002 Issue Date 2011-05 Doc URL http://hdl.handle.net/2115/46198 Type article (author version) File Information DSR58-9-10_1137-1148.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Title: Properties of snow overlying the sea ice off East Antarctica in late winter, 2007 Authors: Takenobu Toyota1, Robert Massom2, Kazutaka Tateyama3, Takeshi Tamura 4, and Alexander Fraser5 Submitted to Deep Sea Research II Affiliation 1*: Institute of Low Temperature Science, Hokkaido University N19W8, Kita-ku, Sapporo, 060-0819, Japan ([email protected]) *corresponding author Tel: +81-11-706-7431 Fax: +81-11-706-7142 2: Australian Antarctic Division and Antarctic Climate and Ecosystems Cooperative Research Centre, c/o University of Tasmania, Sandy Bay, Tasmania 7001, Australia 3: Kitami Institute of Technology, Kouencho, Kitami 090-8507, Japan 4: Antarctic Climate and Ecosystems Cooperative Research Centre, c/o University of Tasmania, Sandy Bay, Tasmania 7001, Australia 5: Institute of Marine and Antarctic Studies, Antarctic Climate and Ecosystems Cooperative Research Centre, University of Tasmania, Sandy Bay, Tasmania 7001, Australia 1 Abstract The properties of snow on East Antarctic sea ice off Wilkes Land were examined during the Sea Ice Physics and Ecosystem Experiment (SIPEX) in late winter of 2007, focusing on the interaction with sea ice.
    [Show full text]
  • Laboratory Study of Initial Sea-Ice Growth: Properties of Grease Ice and Nilas
    The Cryosphere, 6, 729–741, 2012 www.the-cryosphere.net/6/729/2012/ The Cryosphere doi:10.5194/tc-6-729-2012 © Author(s) 2012. CC Attribution 3.0 License. Laboratory study of initial sea-ice growth: properties of grease ice and nilas A. K. Naumann1, D. Notz1, L. Havik˚ 2, and A. Sirevaag2 1Max Planck Institute for Meteorology, Hamburg, Germany 2Geophysical Institute, University of Bergen, Bergen, Norway Correspondence to: A. K. Naumann ([email protected]) Received: 23 December 2011 – Published in The Cryosphere Discuss.: 13 January 2012 Revised: 26 May 2012 – Accepted: 12 June 2012 – Published: 10 July 2012 Abstract. We investigate initial sea-ice growth in an ice-tank parts of the water surface ice free and therefore allowed for a study by freezing an NaCl solution of about 29 g kg−1 in higher heat loss from the water. The development of the ice three different setups: grease ice grew in experiments with thickness can be reproduced well with simple, one dimen- waves and in experiments with a current and wind, while ni- sional models that only require air temperature or ice surface las formed in a quiescent experimental setup. In this paper temperature as input. we focus on the differences in bulk salinity, solid fraction and thickness between these two ice types. The bulk salinity of the grease-ice layer in our experiments remained almost constant until the ice began to consolidate. 1 Introduction In contrast, the initial bulk-salinity evolution of the nilas is well described by a linear decrease of about 2.1 g kg−1 h−1 Sea-ice growth in turbulent water differs from sea-ice growth independent of air temperature.
    [Show full text]
  • A Model for Entrainment of Sediment Into Sea Ice by Aggregation Between Frazil-Ice Crystals and Sediment Grains
    Journal of Glaciology, Vo l. 48, No.160, 2002 A model for entrainment of sediment into sea ice by aggregation between frazil-ice crystals and sediment grains Lars Henrik SMEDSRUD Geophysical Institute, University of Bergen, Allegaten 70,N-5007 Bergen, Norway E-mail:[email protected] ABSTRACT. Avertical numerical model has been developed that simulates tank experi- ments of sediment entrainment into sea ice. Physical processes considered were:turbulent vertical diffusion of heat, salt, sediment, frazil ice and their aggregates; differential growth of frazil-ice crystals; secondary nucleation of crystals; and aggregation between sediment and ice. The model approximated the real size distribution of frazil ice and sediment using five classes of each. Frazil crystals (25 mm to 1.5 cm) were modelled as discs with a constant 1 thickness of 30 their diameter. Each class had a constant rise velocity based on the density of ice and drag forces. Sediment grains (1^600 mm) were modelled as constant density spheres, with corresponding sinking velocities. The vertical diffusion was set constant for experi- ments based on calculated turbulent rms velocities and dissipation rates from current data. The balance between the rise/sinking velocities and the constant vertical diffusion is an im- portant feature of the model. The efficiency of the modeled entrainment process was esti- mated through , an aggregation factor. Values for are in the range h0.0003, 0.1i,but average values are often close to 0.01. Entrainment increases with increasing sediment con- centration and turbulence of the water, and heat flux to the air. 1. INTRODUCTION some experiments were completed in a larger tank at a scale more likely to represent natural conditions in time and Sediment-laden sea ice was observed during the first journey space (Smedsrud,1998, 2001; Haas and others,1999).
    [Show full text]
  • ASPECT: Antarctic Sea Ice Processes & Climate
    ASPeCt Antarctic Sea-Ice Processes and Climate Science and Implementation Plan 1998-2008 TABLE OF CONTENTS EXECUTIVE SUMMARY 1. OVERVIEW 1.1 Introduction 1.2 History of the ASPeCt Programme 1.3 Rationale 1.4 Overall Objectives of ASPeCt 2. KEY SCIENTIFIC QUESTIONS FOR ASPeCt 3. IMPLEMENTATION STRATEGY 3.1 Climatology 3.1.1. Reconstruction of 1980-1997 Climatology 3.1.2. Climatology Studies in the Implementation Period 1998-2008 3.1.2.1. Snow and ice thickness distributions 3.1.2.2. Snow and ice properties surveys 3.2 Process Studies 3.2.1. Short Time Series Experiments 3.2.2. Coastal Polynyas 3.2.3. Long Time Series Experiments 3.2.4. Ice Edge Experiments 3.3 Long Term Observations: Landfast Ice 4. RELATED DATA SETS AND PROGRAMME COORDINATION 4.1 Satellite Data Records 4.2 World Climate Research Programme (WCRP) 4.2.1. International Programme on Antarctic Buoys (IPAB) 4.2.2. Antarctic Ice Thickness Measurement Programme (AnITMP) 4.3 International Antarctic Zone (IAnZone) 5. REFERENCES APPENDICES A. ASPeCt Science Steering Group B. ASPeCt Activities and Schedule C. Ice Observation Protocols D. Snow and Ice Properties-Survey Protocols E. Antarctic Coastal Polynas: Candidates for ASPeCt Study F. List of Acronyms and Abbreviations FIGURES EXECUTIVE SUMMARY With the growth of activities in Global Change research in the Antarctic, both by SCAR programmes and by other international programmes such as IGBP and WCRP, key deficiencies in our understanding and lack of data from the sea ice zone have been identified. Important problems remaining to be adequately covered by Antarctic sea ice research programmes include: 1.
    [Show full text]
  • Seasonal and Interannual Variability of Landfast Sea Ice in Atka Bay, 2 Weddell Sea, Antarctica
    1 Seasonal and interannual variability of landfast sea ice in Atka Bay, 2 Weddell Sea, Antarctica 3 Stefanie Arndt1, Mario Hoppmann1, Holger Schmithüsen1, Alexander D. Fraser2,3, Marcel Nicolaus1 4 1Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, 27570 Bremerhaven, Germany 5 2 Institute for Marine and Antarctic Studies, University of Tasmania, Hobart 7001, Tasmania, Australia 6 3Antarctic Climate & Ecosystems Cooperative Research Centre, University of Tasmania, Hobart 7001, Tasmania, Australia 7 Correspondence to: Stefanie Arndt ([email protected]) 8 Abstract. Landfast sea ice (fast ice) attached to Antarctic (near-)coastal elements is a critical component of the local physical 9 and ecological systems. Through its direct coupling with the atmosphere and ocean, fast ice properties are also a potential 10 indicator of processes related to a changing climate. However, in-situ fast-ice observations in Antarctica are extremely sparse 11 because of logistical challenges and harsh environmental conditions. Since 2010, a monitoring program observing the seasonal 12 evolution of fast ice in Atka Bay has been conducted as part of the Antarctic Fast Ice Network (AFIN). The bay is located on 13 the north-eastern edge of Ekström Ice Shelf in the eastern Weddell Sea, close to the German wintering station Neumayer III. 14 A number of sampling sites have been regularly revisited each year between annual ice formation and breakup to obtain a 15 continuous record of sea-ice and sub-ice platelet-layer thickness, as well as snow depth and freeboard across the bay. 16 Here, we present the time series of these measurements over the last nine years.
    [Show full text]
  • The 2018 North Greenland Polynya Observed by a Newly Introduced Merged Optical and Passive Microwave Sea-Ice Concentration Dataset
    The Cryosphere, 13, 2051–2073, 2019 https://doi.org/10.5194/tc-13-2051-2019 © Author(s) 2019. This work is distributed under the Creative Commons Attribution 4.0 License. The 2018 North Greenland polynya observed by a newly introduced merged optical and passive microwave sea-ice concentration dataset Valentin Ludwig1, Gunnar Spreen1, Christian Haas1,2, Larysa Istomina1, Frank Kauker2,3, and Dmitrii Murashkin1 1Institute for Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany 2Alfred Wegener Institute for Polar and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany 3O.A.Sys – Ocean Atmosphere Systems GmbH, Tewessteg 4, 20249 Hamburg, Germany Correspondence: Valentin Ludwig ([email protected]) Received: 25 January 2019 – Discussion started: 18 February 2019 Revised: 6 June 2019 – Accepted: 25 June 2019 – Published: 29 July 2019 Abstract. Observations of sea-ice concentration are avail- polynya are complicated by rafting and ridging. A sea-ice able from satellites year-round and almost weather- volume of 33 km3 was produced thermodynamically. independently using passive microwave radiometers at reso- lutions down to 5 km. Thermal infrared radiometers provide data with a resolution of 1 km but only under cloud-free con- ditions. We use the best of the two satellite measurements and 1 Introduction merge thermal infrared and passive microwave sea-ice con- centrations. This yields a merged sea-ice concentration prod- Arctic sea ice influences the climate system by radiating in- uct combining the gap-free spatial coverage of the passive cident heat back into space and by regulating the ocean– microwave sea-ice concentration and the 1 km resolution of atmosphere exchange of heat, humidity and momentum.
    [Show full text]
  • Climate Response to Increasing Antarctic Iceberg and Ice Shelf Melt
    15 OCTOBER 2020 M A C K I E E T A L . 8917 Climate Response to Increasing Antarctic Iceberg and Ice Shelf Melt SHONA MACKIE AND INGA J. SMITH Department of Physics, University of Otago, Dunedin, New Zealand JEFF K. RIDLEY Met Office, Exeter, United Kingdom Downloaded from http://journals.ametsoc.org/jcli/article-pdf/33/20/8917/5000848/jclid190881.pdf by UNIVERSITY OF EAST ANGLIA user on 25 September 2020 DAVID P. STEVENS School of Mathematics, University of East Anglia, Norwich, United Kingdom PATRICIA J. LANGHORNE Department of Physics, University of Otago, Dunedin, New Zealand (Manuscript received 26 November 2019, in final form 4 August 2020) ABSTRACT: Mass loss from the Antarctic continent is increasing; however, climate models either assume a constant mass loss rate or return snowfall over land to the ocean to maintain equilibrium. Numerous studies have investigated sea ice and ocean sensitivity to this assumption and reached different conclusions, possibly due to different representations of melt fluxes. The coupled atmosphere–land–ocean–sea ice model, HadGEM3-GC3.1, includes a realistic spatial distribution of coastal melt fluxes, a new ice shelf cavity parameterization, and explicit representation of icebergs. This configuration makes it appropriate to revisit how increasing melt fluxes influence ocean and sea ice and to assess whether responses to melt from ice shelves and icebergs are distinguishable. We present results from simulated scenarios of increasing meltwater fluxes and show that these drive sea ice increases and, for increasing ice shelf melt, a decline in Antarctic Bottom Water formation. In our experiments, the mixed layer around the Antarctic coast deepens in response to rising ice shelf meltwater and shallows in response to stratification driven by iceberg melt.
    [Show full text]
  • Optical Properties of Laboratory Grown Sea Ice Doped with Light Absorbing Impurities (Black Carbon) Amelia A
    The Cryosphere Discuss., doi:10.5194/tc-2017-76, 2017 Manuscript under review for journal The Cryosphere Discussion started: 16 May 2017 c Author(s) 2017. CC-BY 3.0 License. Optical properties of laboratory grown sea ice doped with light absorbing impurities (black carbon) Amelia A. Marks1, Maxim L. Lamare1, and Martin D. King1 1Department of Earth Sciences, Royal Holloway University of London, Egham, Surrey, TW20 0EX, UK. Correspondence to: Martin King ([email protected]) Abstract. Sea ice radiative-transfer models are of great importance for prediction of future sea ice trends but they are lim- ited by uncertainty in models and requirement for evaluation of modelled irradiance data against measured irradiance data. Presented here are the first results from the Royal Holloway sea ice simulator used to evaluate the output of the TUV-snow radiative-transfer model against the optical properties from the simulated sea ice. The sea ice simulator creates a realistic sea ice 5 environment where both optical (reflectance and light penetration depth (e-folding depth)) and physical (temperature, salinity, density) properties of a 30 cm thick sea ice can be monitored and measured. Using albedo and e-folding depth data measured ∼ from simulated sea ice, scattering and absorption cross-sections of the ice are derived using the TUV-snow model. Absorption cross-sections for the ice are highly wavelength dependent, suggesting the addition of a further absorbing impurity in the ice matching the absorption spectrum of algae. Scattering cross-sections were wavelength independent with values ranging from 2 1 10 0.012 and 0.032 cm kg− for different ice created in the simulator.
    [Show full text]
  • Prof. Wadhams Peter Docente Non Universitario Esperienze: Current Position Professor of Ocean Physics, Department of Applied
    Prof. Wadhams Peter Docente non Universitario Esperienze: Current position Professor of Ocean Physics, Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, Wilberforce Road, Cambridge CB3 0WA. Concurrently: Professeur Associé Recherche, Université Pierre et Marie Curie, Paris, based at Laboratoire d’Océanographie de Villefranche (adjunct position). Born 14 May 1948. Married to Maria Pia Casarini of Milan, Italy. Education 1966 69 - Churchill College, Cambridge. College Scholar. 1969 BA in Natural Sciences (Physics). 1972 MA (Cantab). 1970 74 - Scott Polar Research Institute, University of Cambridge. PhD awarded April 1974. Thesis "The effect of a sea ice cover on ocean surface waves". 1994 ScD (Cantab) awarded for published work. Appointments 1969 Sept 1970 Oct. Research scientist, Bedford Institute of Oceanography, Dartmouth, Canada. Assistant to Senior Scientist on "Hudson 70" Expedition, an 11-month oceanographic cruise which accomplished the first circumnavigation of the Americas, by way of Antarctica, Chilean fjords, south and north Pacific, Northwest Passage. 1974 Apr 1975 Dec. Postdoctoral fellow of National Research Council of Canada at Institute of Ocean Sciences, Victoria, B.C., Canada, working on sea ice structure and dynamics in the Beaufort Sea and oil spill impacts. 1976 Jan – 2002 Dec. Scott Polar Research Institute, University of Cambridge. Initially Senior Research Associate (Principal Investigator for Office of Naval Research); 1981-7 Assistant Director of Research; 1987-1992 Director; 1992-2001 Reader in Polar Studies; 2001-2 Professor of Ocean Physics. 2003 Jan. Transferred Chair to DAMTP. 1980-1990 Senior Research Fellow, Churchill College, Cambridge 2013- Fellow, Clare Hall, Cambridge. Visiting professorships:- 1980 81. Office of Naval Research Chair of Arctic Marine Science, Naval Postgraduate School, Monterey, California.
    [Show full text]
  • Initial Sea-Ice Growth in Open Water: Abstract Introduction Properties of Grease Ice and Nilas Conclusions References
    Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | The Cryosphere Discuss., 6, 125–158, 2012 www.the-cryosphere-discuss.net/6/125/2012/ The Cryosphere doi:10.5194/tcd-6-125-2012 Discussions TCD © Author(s) 2012. CC Attribution 3.0 License. 6, 125–158, 2012 This discussion paper is/has been under review for the journal The Cryosphere (TC). Initial sea-ice growth Please refer to the corresponding final paper in TC if available. in open water A. K. Naumann et al. Title Page Initial sea-ice growth in open water: Abstract Introduction properties of grease ice and nilas Conclusions References Tables Figures A. K. Naumann1, D. Notz1, L. Havik˚ 2, and A. Sirevaag2 1 Max Planck Institute for Meteorology, Hamburg, Germany J I 2Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway J I Received: 23 December 2011 – Accepted: 3 January 2012 – Published: 13 January 2012 Back Close Correspondence to: A. K. Naumann ([email protected]) Full Screen / Esc Published by Copernicus Publications on behalf of the European Geosciences Union. Printer-friendly Version Interactive Discussion 125 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract TCD To investigate initial sea-ice growth in open water, we carried out an ice-tank study with three different setups: grease ice grew in experiments with waves and in experiments 6, 125–158, 2012 with a current and wind, while nilas formed in a quiescent experimental setup. In this 5 paper we focus on the differences in bulk salinity, solid fraction and thickness between Initial sea-ice growth these two ice types.
    [Show full text]
  • In Arctic and Antarctic Sea Ice by Gauthier Carnat
    Towards an understanding of the physical and biological controls on the cycling of dimethylsulfide (DMS) in Arctic and Antarctic sea ice by Gauthier Carnat A thesis submitted to the Faculty of Graduate Studies of The University of Manitoba in partial fulfilment of the requirements of the degree of DOCTOR OF PHILOSOPHY Department of Environment and Geography University of Manitoba Winnipeg, Manitoba, Canada Copyright © 2014 by Gauthier Carnat Abstract In the last two decades there has been an increasing interest in the role played by the marine cryosphere in the production and emission of the climate-active gas dimethylsulfide (DMS). This was motivated by observations of high concentrations of the DMS precursor, the intracellular metabolite dimethylsulfoniopropionate (DMSP), in Arctic and Antarctic sea ice. The understanding of the factors driving the cycling of DMS in sea ice is limited. Little is known about the spatio-temporal variability and fate of the sea ice DMS pool. To date, studies have essentially focused on biotic factors, linking the high DMSP concentrations to the high biomass of sympagic communities, and to their physiological adaptations to the low temperatures and high salinities of the brine habitat. In this thesis, an approach integrating both biotic and abiotic factors is presented, and the influence of ice growth processes and brine dynamics on the DMS cycle is investigated. First, the halo-thermodynamic evolution of sea ice and brine dynamics from growth to melt are explored and defined based on a significant data set of ice temperature and salinity collected in the Arctic. A strong desalination phase over a small time window in the spring is identified.
    [Show full text]
  • Climate Response to Increasing Antarctic Iceberg and Ice Shelf Melt
    1 Climate response to increasing Antarctic iceberg and ice shelf melt 2 Shona Mackie⇤ 3 Department of Physics, University of Otago, Dunedin, New Zealand 4 Inga J. Smith 5 Department of Physics, University of Otago, Dunedin, New Zealand 6 Jeff K. Ridley 7 Met Office, Exeter, U.K. 8 David P. Stevens 9 School of Mathematics, University of East Anglia, Norwich, U.K. 10 Patricia J. Langhorne 11 Department of Physics, University of Otago, Dunedin, New Zealand 12 ⇤Corresponding author address: Department of Physics, University of Otago, Dunedin 9016, New 13 Zealand 14 E-mail: [email protected] Generated using v4.3.2 of the AMS LATEX template 1 ABSTRACT 2 15 Mass loss from the Antarctic continent is increasing, however climate mod- 16 els either assume a constant mass loss rate, or return snowfall over land to 17 the ocean to maintain equilibrium. Numerous studies have investigated sea 18 ice and ocean sensitivity to this assumption and reached different conclu- 19 sions, possibly due to different representations of melt fluxes. The coupled 20 atmosphere-land-ocean-sea ice model, HadGEM3-GC3.1, includes a realistic 21 spatial distribution of coastal melt fluxes, a new ice shelf cavity parametriza- 22 tion and explicit representation of icebergs. This makes it appropriate to re- 23 visit how increasing melt fluxes influence ocean and sea ice, and to assess 24 whether responses to melt from ice shelves and icebergs are distinguishable. 25 We present results from simulated scenarios of increasing meltwater fluxes 26 and show that these drive sea ice increases and, for increasing ice shelf melt, a 27 decline in Antarctic Bottom Water formation.
    [Show full text]