Characterization of Moisture Sources for Austral Seas and Relationship with Sea Ice Concentration
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F!L3ljnew CITATIONS in COASTAL TOPICS • a
·/f1!f!!II:. f!l3lJNEW CITATIONS IN COASTAL TOPICS • A ., Addis, R.P.; Garstand, M., and Emmitt, G.D., J9R4. Downdrafts from tropical oceanic cumuli. Boundary-Layer Meteorology. 28(1-2).23-49. Admiraal, W.; Laane, R.W.P.M., and Peletier, H., 1984. Participation of diotoms in the amino-acid cycle of coastal waters uptake and excretion in cultures. Marine Ecology - Prowess Sf-ries. I ~(:1I. :lO:1-306. Ahmed, 8.T.; King, 8. L., and Clayton, J.R., 1984. Organic-mattler diagenesis in the anoxic sediments of Saanich Inlet. British Columbia. Canada - a case for highly evolved community interactions. Marine Chemistry. 14(3),233-252 Ajebouri, M.M. and Trollope, D.H., 1984. Indicator hacte'ia in fresh water and marine moUusks. HydrobioloRY, 111 (2), 9:l-1 02. Alam, M.; Piper, D.J.W., and Cooke, H.B.8., 198:\. Late Quaternarv stratigraphy and paleooceanography of the Crand Banks continental margin, eastern Canada. Boreas. \2(41. 25:1-2GI AIdabas, M.A.; Hybbard, F.H. , and McManus, J., 1984. The shell of Mytilus as an indicator of zonal variations of water quality within an estuary. Estuarine. Coastal and SI"'lf Science. I H(:ll. 2G:I-270. Allen, D.M., 1984. Population dynamics of the mysid shrimp Mysidop.,i., bili,-loll'i Tattersall. W.M. in a tern perate estuary. Jour nal of Crustacean Biology_ 4( 1).25':14 Allen, L.G. and Demartin, E.E., 198:\. Temporal and spatial patterns of nearshore distribution and abundance of the pelagic fishes off San Onofre Oceanside. Califol1lia. Fishery Rulll·tin, RI(:11. -
1 We Thank the Referees for Their Careful Review
We thank the referees for their careful review and thoughtful comments. Below please see our point-by-point responses and changes made to the manuscript. Referee report #1 Thank you for responding to my comments. It is now clearer what is going on, but some additional enhancements are desirable. You need to state clearly in the abstract and probably in the manuscript as well that you are using pre-industrial conditions to examine sea-ice generated Antarctic precipitation variability in the absence of anthropogenic forcing. This should appear explicitly in the first sentence of the abstract, I think, rather than being implicit here and throughout the manuscript. I am recommending minor revisions, but think that this is a very important aspect to address comprehensively to make the intent and methodology of your extensive work obvious to the reader. Done as suggested. Now the first sentence of the abstract reads “We conduct sensitivity experiments using a general circulation model that has an explicit water source tagging capability forced by prescribed composites of pre-industrial sea ice concentrations (SIC) and corresponding sea surface temperatures (SST) to understand the impact of sea ice anomalies on regional evaporation, moisture transport, and source–receptor relationships for Antarctic precipitation in the absence of anthropogenic forcing.” A similar statement is also made in the summary paragraph of the Introduction section: “In this study, we aim to understand the impact of SO sea ice anomalies associated with internal variability (in the absence of anthropogenic forcing) on local evaporation, moisture transport and source–receptor relationships for moisture and precipitation over Antarctica using a GCM that has an explicit water source tagging capability.” Section 3.2: You attribute southerly katabatic flow to the polar high. -
Data Structure
Data structure – Water The aim of this document is to provide a short and clear description of parameters (data items) that are to be reported in the data collection forms of the Global Monitoring Plan (GMP) data collection campaigns 2013–2014. The data itself should be reported by means of MS Excel sheets as suggested in the document UNEP/POPS/COP.6/INF/31, chapter 2.3, p. 22. Aggregated data can also be reported via on-line forms available in the GMP data warehouse (GMP DWH). Structure of the database and associated code lists are based on following documents, recommendations and expert opinions as adopted by the Stockholm Convention COP6 in 2013: · Guidance on the Global Monitoring Plan for Persistent Organic Pollutants UNEP/POPS/COP.6/INF/31 (version January 2013) · Conclusions of the Meeting of the Global Coordination Group and Regional Organization Groups for the Global Monitoring Plan for POPs, held in Geneva, 10–12 October 2012 · Conclusions of the Meeting of the expert group on data handling under the global monitoring plan for persistent organic pollutants, held in Brno, Czech Republic, 13-15 June 2012 The individual reported data component is inserted as: · free text or number (e.g. Site name, Monitoring programme, Value) · a defined item selected from a particular code list (e.g., Country, Chemical – group, Sampling). All code lists (i.e., allowed values for individual parameters) are enclosed in this document, either in a particular section (e.g., Region, Method) or listed separately in the annexes below (Country, Chemical – group, Parameter) for your reference. -
Validation of Reanalysis Southern Ocean Atmosphere Trends Using Sea Ice Data
Atmos. Chem. Phys., 20, 14757–14768, 2020 https://doi.org/10.5194/acp-20-14757-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. Validation of reanalysis Southern Ocean atmosphere trends using sea ice data William R. Hobbs1,3,5, Andrew R. Klekociuk2,3, and Yuhang Pan4 1Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, Hobart, TAS 7001, Australia 2Antarctica and the Global System Program, Australian Antarctic Division, 203 Channel Highway, Kingston, TAS 7050, Australia 3Australian Antarctic Program Partnership, IMAS, University of Tasmania, Hobart, TAS 7001, Australia 4School of Earth Sciences, McCoy Building, The University of Melbourne, Parkville, VIC 3010, Australia 5ARC Centre of Excellence for Climate Extremes, IMAS, University of Tasmania, Hobart, TAS 7001, Australia Correspondence: William R. Hobbs ([email protected]) Received: 11 June 2020 – Discussion started: 29 July 2020 Revised: 5 October 2020 – Accepted: 23 October 2020 – Published: 2 December 2020 Abstract. Reanalysis products are an invaluable tool for rep- ing of West Antarctic ice shelves (Lenaerts et al., 2017; Paolo resenting variability and long-term trends in regions with et al., 2018; Dotto et al., 2019), with implications for global limited in situ data, and especially the Antarctic. A compar- barystatic sea level rise (Dupont and Alley, 2005; Pritchard ison of eight different reanalysis products shows large dif- et al., 2012; Paolo et al., 2015), and polar winds are clearly ferences in sea level pressure and surface air temperature related to observed Antarctic sea ice trends (Holland and trends over the high-latitude Southern Ocean, with implica- Kwok, 2012). -
2019 Weddell Sea Expedition
Initial Environmental Evaluation SA Agulhas II in sea ice. Image: Johan Viljoen 1 Submitted to the Polar Regions Department, Foreign and Commonwealth Office, as part of an application for a permit / approval under the UK Antarctic Act 1994. Submitted by: Mr. Oliver Plunket Director Maritime Archaeology Consultants Switzerland AG c/o: Maritime Archaeology Consultants Switzerland AG Baarerstrasse 8, Zug, 6300, Switzerland Final version submitted: September 2018 IEE Prepared by: Dr. Neil Gilbert Director Constantia Consulting Ltd. Christchurch New Zealand 2 Table of contents Table of contents ________________________________________________________________ 3 List of Figures ___________________________________________________________________ 6 List of Tables ___________________________________________________________________ 8 Non-Technical Summary __________________________________________________________ 9 1. Introduction _________________________________________________________________ 18 2. Environmental Impact Assessment Process ________________________________________ 20 2.1 International Requirements ________________________________________________________ 20 2.2 National Requirements ____________________________________________________________ 21 2.3 Applicable ATCM Measures and Resolutions __________________________________________ 22 2.3.1 Non-governmental activities and general operations in Antarctica _______________________________ 22 2.3.2 Scientific research in Antarctica __________________________________________________________ -
Observations on Penguins in the King Haakon VII Sea, Antarctica P.R
S. Afr. J. Antarct. Res., Vol. 9, 1979 29 Observations on penguins in the King Haakon VII Sea, Antarctica P.R. Condy Mammal Research Institute, University of Pretoria, Pretoria 0002 Data 011 penguin density, species composition, group size and and the surface nature of a floe was recorded as being either distribution were collected during the course of a seal census in smooth or hummocked. lee floes which were only partly pack ice in the King Haakon VII Sea, Antarctica, in January hummocked presented difficulties when classifying surface and February 1977. A total of 774 Addie mu/ 39 emperor pen structure, and only that part of the floe which was occupied guins were counted witl1in the 0,4 km wide cens1ts strips. An was classified. Penguins tended to move about a floe if the area of 288,17 km'!. of pack ice was censused and Adr'!lie and ship passed close by, so only the surface nature of that part emperor penguins occurred at densities of 2,69 and 0,14 indi of the floc occupied by them when they were first SCCil was viduals per km2 respecth·dy. Mean group size was 3,72 +3,76 classified. (n~J83) and 1,17±0,38 (n--~29) respecth·ely. Mean pack ice Observations were made from the ship's bridge 10 m above conce1/lration throughout the census was 0,48 ±0,25 tenths the waterline, and the limits of the 200 m census strips on (n~336). Both species were sem in all ice conditions, being either side of the ship were estimated using a sighting board more numerous in open to medium ice concentrations. -
Article Size, 12 Nm Pore Size; YMC Collision Energy 15, 22.5, and 30; Isolation Window 1.0 M/Z)
Biogeosciences, 18, 3485–3504, 2021 https://doi.org/10.5194/bg-18-3485-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Archaeal intact polar lipids in polar waters: a comparison between the Amundsen and Scotia seas Charlotte L. Spencer-Jones1, Erin L. McClymont1, Nicole J. Bale2, Ellen C. Hopmans2, Stefan Schouten2,3, Juliane Müller4, E. Povl Abrahamsen5, Claire Allen5, Torsten Bickert6, Claus-Dieter Hillenbrand5, Elaine Mawbey5, Victoria Peck5, Aleksandra Svalova7, and James A. Smith5 1Department of Geography, Durham University, Lower Mountjoy, South Road, Durham, DH1 3LE, UK 2NIOZ Royal Netherlands Institute for Sea Research, Department of Marine Microbiology and Biogeochemistry, P.O. Box 59, 1790 AB Den Burg, Texel, the Netherlands 3Department of Earth Sciences, Utrecht University, Utrecht, the Netherlands 4Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, 27568 Bremerhaven, Germany 5British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, UK 6MARUM – Center for Marine Environmental Sciences, University of Bremen, Leobener Str. 8, 28359, Bremen, Germany 7School of Natural and Environmental Sciences, Newcastle University, Newcastle-upon-Tyne, NE1 7RU, UK Correspondence: Charlotte L. Spencer-Jones ([email protected]) Received: 7 September 2020 – Discussion started: 5 November 2020 Revised: 3 March 2021 – Accepted: 23 March 2021 – Published: 11 June 2021 Abstract. The West Antarctic Ice Sheet (WAIS) is one of compassing the sub-Antarctic front through to the southern the largest potential sources of future sea-level rise, with boundary of the Antarctic Circumpolar Current. IPL-GDGTs glaciers draining the WAIS thinning at an accelerating rate with low cyclic diversity were detected throughout the water over the past 40 years. -
Verification of a New NOAA/NSIDC Passive Microwave Sea-Ice
RESEARCH/REVIEW ARTICLE Verification of a new NOAA/NSIDC passive microwave sea-ice concentration climate record Walter N. Meier,1 Ge Peng,2,3 Donna J. Scott4 & Matt H. Savoie4 1 Cryospheric Sciences Lab, Code 615, National Aeronautics and Space Administration Goddard Space Flight Center, Greenbelt, MD 20771, USA 2 Cooperative Institute for Climate and Satellites, North Carolina State University, Raleigh, NC, USA 3 Remote Sensing and Applications Division, National Oceanic and Atmospheric Administration National Climatic Data Center, 151 Patton Avenue, Asheville, NC 28801, USA 4 National Snow and Ice Data Center, University of Colorado, UCB 449, Boulder CO 80309, USA Keywords Abstract Sea ice; Arctic and Antarctic oceans; climate data record; evaluation; passive A new satellite-based passive microwave sea-ice concentration product microwave remote sensing. developed for the National Oceanic and Atmospheric Administration (NOAA) Climate Data Record (CDR) programme is evaluated via comparison with Correspondence other passive microwave-derived estimates. The new product leverages two Walter N. Meier, Cryospheric Sciences well-established concentration algorithms, known as the NASA Team and Lab, Code 615, National Aeronautics and Bootstrap, both developed at and produced by the National Aeronautics and Space Administration Goddard Space Space Administration (NASA) Goddard Space Flight Center (GSFC). The sea- Flight Center, Greenbelt, MD 20771, USA. ice estimates compare well with similar GSFC products while also fulfilling all E-mail: [email protected] NOAA CDR initial operation capability (IOC) requirements, including (1) self- describing file format, (2) ISO 19115-2 compliant collection-level metadata, (3) Climate and Forecast (CF) compliant file-level metadata, (4) grid-cell level metadata (data quality fields), (5) fully automated and reproducible processing and (6) open online access to full documentation with version control, including source code and an algorithm theoretical basic document. -
1 Influence of Sea Ice Anomalies on Antarctic Precipitation Using
https://doi.org/10.5194/tc-2019-69 Preprint. Discussion started: 12 June 2019 c Author(s) 2019. CC BY 4.0 License. Influence of Sea Ice Anomalies on Antarctic Precipitation Using Source Attribution Hailong Wang1*, Jeremy Fyke2,3, Jan Lenaerts4, Jesse Nusbaumer5,6, Hansi Singh1, David Noone7, and Philip Rasch1 (1) Pacific Northwest National Laboratory, Richland, WA 5 (2) Los Alamos National Laboratory, Los Alamos, NM (3) Associated Engineering, Vernon, British Columbia, Canada (4) Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, Boulder, CO (5) NASA Goddard Institute for Space Studies, New York, NY (6) Center for Climate Systems Research, Columbia University, New York, NY 10 (7) Oregon State University, Corvallis, OR *Correspondence to: [email protected] 1 https://doi.org/10.5194/tc-2019-69 Preprint. Discussion started: 12 June 2019 c Author(s) 2019. CC BY 4.0 License. Abstract We conduct sensitivity experiments using a climate model that has an explicit water source tagging capability forced by prescribed composites of sea ice concentrations (SIC) and corresponding SSTs to understand the impact of sea ice anomalies on regional evaporation, moisture transport, and source– 5 receptor relationships for precipitation over Antarctica. Surface sensible heat fluxes, evaporation, and column-integrated water vapor are larger over Southern Ocean (SO) areas with lower SIC, but changes in Antarctic precipitation and its source attribution with SICs reflect a strong spatial variability. Among the tagged source regions, the Southern Ocean (south of 50°S) contributes the most (40%) to the Antarctic total precipitation, followed by more northerly ocean basins, most notably the S. -
West Antarctic Ice Sheet Retreat in the Amundsen Sea Driven by Decadal Oceanic Variability
1 West Antarctic Ice Sheet retreat in the Amundsen Sea driven by decadal oceanic variability 2 Adrian Jenkins1*, Deb Shoosmith1, Pierre Dutrieux2, Stan Jacobs2, Tae Wan Kim3, Sang Hoon Lee3, Ho 3 Kyung Ha4 & Sharon Stammerjohn5 4 1British Antarctic Survey, Natural Environment Research Council, Cambridge CB3 0ET, U.K. 5 2Lamont‐Doherty Earth Observatory of Columbia University, Palisades, NY 10964, U.S.A. 6 3Korea Polar Research Institute, Incheon 406‐840, Korea. 7 4Department of Ocean Sciences, Inha University, Incheon 22212, Korea. 8 5Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, U.S.A. 9 10 Mass loss from the Amundsen Sea sector of the West Antarctic Ice Sheet has increased in recent 11 decades, suggestive of sustained ocean forcing or ongoing, possibly unstable response to a past 12 climate anomaly. Lengthening satellite records appear incompatible with either process, 13 however, revealing both periodic hiatuses in acceleration and intermittent episodes of thinning. 14 Here we use ocean temperature, salinity, dissolved‐oxygen and current measurements taken from 15 2000‐2016 near Dotson Ice Shelf to determine temporal changes in net basal melting. A decadal 16 cycle dominates the ocean record, with melt changing by a factor of ~4 between cool and warm 17 extremes via a non‐linear relationship with ocean temperature. A warm phase that peaked 18 around 2009 coincided with ice shelf thinning and retreat of the grounding line, which re‐ 19 advanced during a post‐2011 cool phase. Those observations demonstrate how discontinuous ice 20 retreat is linked with ocean variability, and that the strength and timing of decadal extremes is 21 more influential than changes in the longer‐term mean state. -
Hydrography and Phytoplankton Distribution in the Amundsen and Ross Seas
W&M ScholarWorks Dissertations, Theses, and Masters Projects Theses, Dissertations, & Master Projects 2009 Hydrography and Phytoplankton Distribution in the Amundsen and Ross Seas Glaucia M. Fragoso College of William and Mary - Virginia Institute of Marine Science Follow this and additional works at: https://scholarworks.wm.edu/etd Part of the Marine Biology Commons, and the Oceanography Commons Recommended Citation Fragoso, Glaucia M., "Hydrography and Phytoplankton Distribution in the Amundsen and Ross Seas" (2009). Dissertations, Theses, and Masters Projects. Paper 1539617887. https://dx.doi.org/doi:10.25773/v5-kwnk-k208 This Thesis is brought to you for free and open access by the Theses, Dissertations, & Master Projects at W&M ScholarWorks. It has been accepted for inclusion in Dissertations, Theses, and Masters Projects by an authorized administrator of W&M ScholarWorks. For more information, please contact [email protected]. Hydrography and phytoplankton distribution in the Amundsen and Ross Seas A Thesis Presented to The Faculty of the School of Marine Science The College of William and Mary in Virginia In Partial Fulfillment of the Requirements for the Degree of Master of Science by Glaucia M. Fragoso 2009 APPROVAL SHEET This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science UAA£ a Ck laucia M. Frago Approved by the Committee, November 2009 Walker O. Smith, Ph D. Commitfbe Chairman/Advisor eborah A. BronkfPh.D Deborah K. Steinberg, Ph Kam W. Tang ■ Ph.D. DEDICATION I dedicate this work to my parents, Claudio and Vera Lucia Fragoso, and family for their encouragement, guidance and unconditional love. -
List of Commonly Used Variables for Sea-Ice Studies
(A) (B) Free Drift Linear Viscosity (C) (D) Ideal Plastic Viscous Plastic Collision Induced Rheology Figure 2.1: Schematic representation of the most commonly used rheologies includ- ing (A) free drift, (B) linear viscosity, (C) ideal and viscous plastic, and (D) collision induced. Modified from Washington and Parkinson (2005; Figure 3.24) 15 Figure 2.2: Schematic representation of the energy balance vertically through an ice pack. Modified from Washington and Parkinson (2005; Figure 3.21). is balanced along the air/snow, air/ice, snow/ice, and ice/ocean interfaces. The steady-state equation for the conservation of energy at the surface of ice covered water follows: 0 if T0 < Tf QH + QL + QLW + (1 α0)QSW I0 QLW + QG0 = (2.14) ↓ − ↓ − − ↑ Q if T = T M 0 f where I0 is the amount of solar radiation that penetratesthe snow/ice column, and Tf is the salinity dependent freezing point. The surface energy balance for the sea- ice zone will be equal to zero for surface temperatures below freezing (T0 < Tf ), otherwise melt will occur (Wadhams 2000, Washington and Parkinson 2005). It should be noted that for sea ice, the sensible and latent heat fluxes are positive downward ( ) (Washington and Parkinson 2005). ↓ The steady-state equation for the conservation of energy along the air/snow interface follows equation 2.14 for the snow surface and the values for emissivity, 17 albedo, and the conductive flux are specific to the snow surface ("s, αs, and QGs ). Snowmelt is dependent on surface temperature, which is that of the snow surface, and equals 0 for surface temperature below freezing.