An analysis of Russian Sea Ice Charts for 1933-2006

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An analysis of Russian Sea Ice Charts for 1933-2006 A. Mahoney, R.G. Barry and F. Fetterer National Snow and Ice Data Center, University of Colorado Boulder, Colorado, 80303, USA AARI ice chart April 8- 11, 2006

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An analysis of Russian Sea Ice Charts for 1933-2006. AARI ice chart April 8-11, 2006. A. Mahoney, R.G. Barry and F. Fetterer National Snow and Ice Data Center, University of Colorado Boulder, Colorado, 80303, USA. Outline. Introduction Background on AARI ice charts Method - PowerPoint PPT Presentation

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Page 1: An analysis of Russian Sea Ice Charts for 1933-2006

An analysis of Russian Sea Ice Charts for 1933-2006

A. Mahoney, R.G. Barry and F. FettererNational Snow and Ice Data Center, University of Colorado

Boulder, Colorado, 80303, USA

AARI ice chart April 8-11, 2006

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Outline

• Introduction

• Background on AARI ice charts

• Method• Locating discontinuous pack ice edges

• Results• 20th Century sea ice extent variability

• Comparison with other data• Meteorological data• Other ice charts

• Summary and conclusions

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Introduction and

Background

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About the AARI* ice charts

• Operational sea ice charts generated approximately every 10 days, dating back as far as 1933

• Charts produced by assimilation of different observations:• satellite active / passive microwave• airborne radar and infrared• visual observations from aircraft, ships and coastal stations• coastal radar installations• buoy-mounted instrumentation• automatic ice stations

• Provide information on:• sea ice concentration• stages of development• ice forms

*Arctic and Antarctic Research InstituteSt Petersburg, Russia

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Airborne radar flightlines

• Standard pattern of airborne radar observations

• Carried out periodically through the year since 1970s

• Highest concentration along Northern Sea Route

From: Remote Sensing of the Sea

Ice in the Northern Sea Route, Studies and Applications,

Johannessen et al, 2007

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AARI ice charts in EASE grid

• Ice charts are provided in SIGRID* format and converted to EASE-Grid**

• Separate charts for eastern and western Russian Arctic

• Spatial and temporal coverage is variable and discontinuous

* Sea Ice Grid (World Meteorological Organization)**Equal Area Scalable Earth Grid – details at http://www.nsidc.org/ease

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Examples of early AARI ice charts

• Chart coverage is poor

• Mostly limited to reconnaissance flights within range of coastal stations

• Still possible to identify and locate the ice edge

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Method

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Coast-to-pole vectors

• 360 vectors along meridians from the coast to the pole

• Used for locating the edge of the pack ice

• Can cope with discontinuous edges

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Locating the edge of the pack ice

1) Transition to <15% ice concentration

2) Pack ice / landfast ice boundary

3) The coast

Algorithm looks for ice edge along every coast-to-pole vector

Ice edge is defined by either:

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Manual inspection of algorithm

• Algorithm can be confused around islands and polynyas

• In these cases, the edge is corrected manually

• The edge on every chart will be manually inspected

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Results

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Spatio-temporal coverage of results

• Only spring and summer months charted in early years

• Frequency of charts increases through record

• Continuity of ice edges improves over time

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Changes in sea ice extent

• Much regional variability

• Reduced autumn ice extent in early 20th century

• Increasingly negative anomalies in both spring and autumn since 1970s

• Missing data during key period (1993-1996)

Manually inspected

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Changes in sea ice concentration

• Comparison of decadal monthly means

• Increase from 1940s – 1970s is mostly matched by the loss between 1970s and 2000s

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Comparison with other

data

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Temperature and pressure anomalies

• Derived from station data North of 65°N

• Early and late part of record warmer than middle

• Evidence of decadal variability

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Ice and temperature variability

• No significant interannual correlation between ice and air temperature

• Adjacent seas show similar temperature trends, but different trends in ice extent

• Similarly weak relationship to station SLP observations

• No consistent correlations with Arctic Oscillation index

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Comparison with NIC* charts

• Overall mean difference is close to zero

• AARI charts report higher concentration in autumn and winter

• NIC charts report higher concentration in summer

• No apparent long-term differences though number of common cells between chart sets increases with time

* National Ice Center

AARI>

NIC

NIC>

AARI

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Summary

AARI ice charts provide a long timeseries of ice extent variability in Russian Arctic

• Manual inspection of ice edges required throughout record

Ice edge results so far indicate:

• Reduced ice extent in 1930s – 40s

• greatest reduction in Barents Sea

• Most evident in fall minimum extent

• Greater reduction in ice extent since 1970s

• Evident in both spring and autumn

Hi-latitude observations show cooling in mid 20th Century

• No direct correlations with ice extent variability

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Future work

Finish manual inspection of ice edgesFinish manual inspection of ice edges

More detailed analysis of sea ice variabilityMore detailed analysis of sea ice variability

• Both temporal and spatialBoth temporal and spatial

• Include landfast sea iceInclude landfast sea ice

• Statistical analysis of atmospheric forcingStatistical analysis of atmospheric forcing

Extend comparisons with other datasetsExtend comparisons with other datasets

• Derive an optimal, merged sea ice record from different Derive an optimal, merged sea ice record from different chartscharts

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AcknowledgementsVasily SmolyanitskyArctic and Antarctic Research Institute (AARI)St. Petersburg, Russia

• Providing the AARI data in SIGRID format with near-EASE-grid regridding software

Joey ComeauxNational Center for Atomspheric Research (NCAR)Boulder, Colorado, USA

• Assistance acquiring meteorological station data

NASA

• Award NNG04GH03G, “Twentieth Century Sea Ice Conditions in the Eurasian Arctic from a Comprehensive Reconstitution and Synthesis of Russian Data Sources with Modern Satellite Data”