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Ninth International Conference on Permafrost ... - IARC Research

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Historical Changes in the Seas<strong>on</strong>ally Frozen Ground Regi<strong>on</strong>s of the Russian ArcticOliver W. Frauenfeld, Tingjun Zhang, Andrew J. Etringer, Roger G. BarryCIRES Nati<strong>on</strong>al Snow and Ice Data Center, University of Colorado, Boulder, Colorado, USADavid GilichinskySoil Cryology Laboratory, Institute of Physico-Chemical and Biological Problems in Soil Sciences,Russian Academy of Sciences, Pushchino, Moscow Regi<strong>on</strong>, RussiaIntroducti<strong>on</strong>Seas<strong>on</strong>al freezing and thawing processes in cold regi<strong>on</strong>splay an important role in ecosystem diversity, productivity,and the Arctic hydrological system (Hinzman et al. 1991,Kane et al. 1991, Woo 1992, Osterkamp et al. 2000, Nels<strong>on</strong>2003). L<strong>on</strong>g-term changes in seas<strong>on</strong>al freeze and thaw depthsare also useful indicators of climate change (Frauenfeld etal. 2004). However, <strong>on</strong>ly sparse historical measurements ofseas<strong>on</strong>al freeze and thaw depths are available for permafrostand seas<strong>on</strong>ally frozen ground regi<strong>on</strong>s. In previous work, weapplied mean m<strong>on</strong>thly soil temperature data for 1930–1990at 242 sites located throughout Russia, and employed asimple interpolati<strong>on</strong> scheme to determine the depth of the0°C isotherm based <strong>on</strong> soil temperature data measured at 13depths between 0.2 m and 3.2 m. The relati<strong>on</strong>ship betweenavailable observed annual maximum freeze and thaw depthsand our interpolated values indicates a perfect correlati<strong>on</strong>,and thereby verifies our methodology (Frauenfeld et al.2004).In this analysis, we improve <strong>on</strong> our previous work byemploying a greatly expanded stati<strong>on</strong> database with soiltemperatures for 423 sites with updated observati<strong>on</strong>s throughthe year 2000. These 423 stati<strong>on</strong>s are located throughoutRussia (Fig. 1) and can be obtained from the Frozen GroundData Center (http://nsidc.org/fgdc/). The additi<strong>on</strong> of 181sites throughout the Russian Arctic combined with 10more years of observati<strong>on</strong>s allows for a significantly morecomprehensive evaluati<strong>on</strong>. Furthermore, the additi<strong>on</strong> of1991–2000 allows us to quantify changes in the soil thermalregime during a decade when accelerated climate warminghas potentially occurred.Data and MethodsDetailed descripti<strong>on</strong>s of soil temperature measurementsin the former Soviet Uni<strong>on</strong> were provided by Gilichinskyet al. (1998), by Zhang et al. (2001), and in the instructi<strong>on</strong>manuals of the State Committee of the U.S.S.R. forHydrometeorology and Envir<strong>on</strong>mental C<strong>on</strong>trol (1985).Observati<strong>on</strong>s are available for the 0.2 m, 0.4 m, 0.6 m, 0.8m, 1.2 m, 1.6 m, 2.0 m, 2.4 m, and 3.2 m depths. We linearlyinterpolated the depth of the 0ºC isotherm throughout the0.2 m–3.2 m temperature profile (recognizing that this isnot necessarily the same as the “true” freeze/thaw depth).The 423 stati<strong>on</strong>s were first classified as either permafrostor seas<strong>on</strong>ally frozen ground, depending <strong>on</strong> soil temperatureat the 3.2 m depth. If, for the entire record, a stati<strong>on</strong>’s soiltemperature at 3.2 m was positive, that stati<strong>on</strong> was classifiedas a seas<strong>on</strong>ally frozen ground stati<strong>on</strong>; 387 of the 423 stati<strong>on</strong>sFigure 1. Locati<strong>on</strong> of the 428 soil temperature observing sites inRussia.qualified. We also employ kriging to improve data quality andin-fill missing observati<strong>on</strong>s, and produce nearly c<strong>on</strong>tinuousstati<strong>on</strong> time series for 1930–2000. For the seas<strong>on</strong>ally frozenground stati<strong>on</strong>s, the freeze depth was interpolated betweenthose layers where the temperature switched from negativeto positive. The maximum depth of freezing was selectedfrom the m<strong>on</strong>ths of March, April, and May <strong>on</strong>ly. An averagetime series was generated by averaging all available stati<strong>on</strong>s’maximum annual freezing depth departures (with respectto each stati<strong>on</strong>’s l<strong>on</strong>g-term mean) in the seas<strong>on</strong>ally frozenground regi<strong>on</strong> of the Russian Arctic. Linear least-squaresregressi<strong>on</strong> was then applied to the time series to quantify itsl<strong>on</strong>g-term changes.Results and Discussi<strong>on</strong>In our previous work the l<strong>on</strong>g-term trend for the 1930–1990 period based <strong>on</strong> 211 seas<strong>on</strong>ally frozen groundstati<strong>on</strong>s indicated a decrease in seas<strong>on</strong>al freeze depths ofapproximately 4.4 cm decade −1 , or 27 cm overall (Fig. 2).This trend is statistically significant (95%-level). However,because prior to the mid-1950s there were too few stati<strong>on</strong>sto produce a robust trend (Fig. 2), this 27 cm change had tobe interpreted cautiously. Based <strong>on</strong> the 1956–1990 period,when 100 or more stati<strong>on</strong>s c<strong>on</strong>tribute to each year’s meanvalue, the overall change is approximately -34 cm (notshown). Note that while a total of 211 stati<strong>on</strong>s were availableto generate the time series, a maximum of 158 stati<strong>on</strong>sc<strong>on</strong>tribute at any given year, as most individual stati<strong>on</strong> timeseries are incomplete and have gaps due to missing data.With the additi<strong>on</strong> of 176 new sites in seas<strong>on</strong>ally frozenground regi<strong>on</strong>s, more data for the original 211 sites, and75

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