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Ninth International Conference on Permafrost ... - IARC Research

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Recent Сlimatic Сhanges in YakutiaYu.B. SkachkovMelnikov <strong>Permafrost</strong> Institute, SB RAS, Yakutsk, RussiaIntroducti<strong>on</strong>Yakutia is the largest administrative regi<strong>on</strong> of the RussianFederati<strong>on</strong>, occupying an area of 3.1 milli<strong>on</strong> squarekilometers. Most of the regi<strong>on</strong> is underlain by c<strong>on</strong>tinuouspermafrost. Being the product of climate, permafrost is asensitive indicator of its l<strong>on</strong>g-term changes. In view of thepredicted permafrost degradati<strong>on</strong> due to global warming andits negative c<strong>on</strong>sequences, it is extremely important to gaincomplete informati<strong>on</strong> <strong>on</strong> recent air temperature variati<strong>on</strong>s inthe regi<strong>on</strong>.During the past years, several works have been published<strong>on</strong> the general assessing of climate changes in Siberia andthe Far East over different periods of time (Ippolitov etal. 2007, Izrael et al. 2006, Pavlov & Malkova 2005, andothers). The present paper c<strong>on</strong>tinues the previous researchmade by the author over the period 1966–1995 (Skachkov2001), and using the new data of the last decade, informs <strong>on</strong>the current rate of climate warming in Yakutia.Data and Calculati<strong>on</strong> TechniqueTo assess trends of the changes of the annual average airtemperature (T air) over the period 1966–2005 throughoutYakutia the following acti<strong>on</strong>s have been carried out:1. selecti<strong>on</strong> of 29 weather stati<strong>on</strong>s with accurateunceasing observati<strong>on</strong> data (Fig. 1).2. calculati<strong>on</strong> of the linear trend of the air temperatureand annual air temperature amplitude and their variance.3. assessment of the linear trends.The linear trends significance was estimated with theFigure 1. The plan of locati<strong>on</strong> of the stati<strong>on</strong>s selected for analysis.student criteria by the determinati<strong>on</strong> coefficient squaredvalue R 2 . The determinati<strong>on</strong> coefficient shows the linear trenddeposit in the general variati<strong>on</strong> of the analyzed parameter. Theparameter variati<strong>on</strong> trend would be c<strong>on</strong>sidered significant ifits c<strong>on</strong>fidence level equaled or surpassed 95% (Р ≥ 0.95).With the sample size of 30 years, it c<strong>on</strong>forms to R 2 ≥ 14%,and of 40 years, R 2 .≥ 12%.The period 1966–2005 is also n<strong>on</strong>random. In 1966, thehydrometeorological service of the USSR changed the gaugethat carried out measurements four times a day with the<strong>on</strong>es that carried out measurements eight times a day; thusthe mean day parameters obtained from those observati<strong>on</strong>sbecome more accurate. Sec<strong>on</strong>dly, WMO recommends a 30-year period as the main <strong>on</strong>e for climate descripti<strong>on</strong>. Thethird and most important reas<strong>on</strong>: the beginning of the periodcoincides with the beginning of the observed warming. Thusthe series of observati<strong>on</strong>s 1966–2005 can be c<strong>on</strong>sidered asclimatologically homogeneous regarding several factors.The temporal series data of the mean m<strong>on</strong>thly airtemperature were used in the analysis. The meteorologicalobservati<strong>on</strong> data were obtained from the climatologichandbook and m<strong>on</strong>thly magazines and also from theUSA Nati<strong>on</strong>al Ocean and Atmosphere Agency database(http:www.ncdc.noaa.gov). Trend parameter calculati<strong>on</strong>swere performed with Microsoft Excel 97.Results and Discussi<strong>on</strong>The mean annual air temperature field analysis showsthat T airover the observed area widely varies from -16.7°С(Oymyak<strong>on</strong>) to -5.6°С (Vitim). High interannual variabilityof the mean annual air temperature is the peculiarity ofextreme c<strong>on</strong>tinental climate endemic for the major territoryof Yakutia. The fluctuati<strong>on</strong>s of T airover the observed periodin the mean from all stati<strong>on</strong>s amount to 4–5°С. The lowestfluctuati<strong>on</strong>s of T air(-3.4°С) were noticed in Batamaya, andthe highest (-5.6°С), in Tiksi and Chulman.The global warming started in the end of 1960s over themajority of the Northern Hemisphere including Yakutia.From 1966 to 1989, the warming in this area passed <strong>on</strong> rathersmoothly and had almost z<strong>on</strong>ati<strong>on</strong>al increment of the airtemperature. The highest increment values (1°С and more)are noticed in central and south Yakutia. Toward the north,there is noticed the decrease of temperature increment. Theair temperature trend values of the Laptev Sea shore, islandstati<strong>on</strong>s and northwest of Yakutia are subzero at this time(Skachkov 2001).The early 1990s saw spatially variegated temperatureincrease appear sharply throughout Yakutia. Southward ofthe latitude 64°N, the air temperature increment amountedto 1.5–2°С and more; northwest and northeast Yakutia was0.5–1°С. It is significant that the major c<strong>on</strong>tributi<strong>on</strong> to the291

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