Observed trends in surface freezing/thawing index over the period 1987–2005 in Mongolia

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Abstract

The annual ground surface freezing and thawing indices can be useful to assess the temporal changes of ground thermal regime in permafrost and seasonally frozen ground regions. The previous analyses of in-situ observation results show that the annual freezing/thawing index could be reliably obtained from monthly observation data. We thus employ monthly ground surface temperature to calculate the annual surface freezing/thawing index in Mongolia. In this study we used Mann–Kendal test and Sen-slope estimate to perform the temporal and spatial trend analysis of annual surface freezing/thawing index at a set of 20 meteorological stations in Mongolia. The study indicates that the annual surface freezing index displays a general increasing trend at 70% of stations although the trend is not statistically significant, which corresponds to a slight winter cooling over the period 1987–2005 in Mongolia. However, the annual surface thawing index shows a statistically significant increase in Mongolia during the past 19 years. The surface thawing index has increased by 29 °C-days/yr in Mongolia, which is far greater than that in the high-latitudinal regions of Northern Hemisphere during recent decades. The intensive increase of annual surface thawing index is predicted to be responsible for the increase in active layer thickness, as well as the changes of permafrost distribution in this country.

Highlights

► The accuracy of calculating freezing/thawing index using monthly data was assessed at an in-situ station. ► Long-term trends of surface freezing/thawing index were detected by non-parametric statistical methods. ► The results could provide implication for ongoing concerned permafrost researches.

Introduction

Mongolia is located in central Asia at the latitudes between 41°35′N and 52°09′N and at the longitudes between 87°44′E and 119°56′E, and occupies a territory of about 1.56 million km2 in area. The Mongolian relief is characterized by relatively high elevation, which is 1580 m above the sea level on average in this landlocked country. Owing to the continental cold and dry climate with severe winters in Mongolia, approximately 67% of the country is underlain by permafrost (Tumurbaatar and Mijiddorj, 2006). During the last 60 years, the mean annual air temperature in Mongolia has significantly increased by 1.66 °C (Nandintsetseg et al., 2007) and the warming trend was predicted to continue in the following 80 years (Sato and Kimura, 2006). In the context of great warming occurring in the last decades, the noticeable increase in permafrost temperatures and active layer thickness has been observed in Mongolia (Sharkhuu et al., 2007, Sharkhuu et al., 2008a, Zhao et al., 2010). The prominent permafrost degradation has exerted profound influence on the stream hydrology, taiga forest distribution, ecosystems, and sustainable development in Mongolia (Bohannon, 2008, Dulamsuren et al., 2010).
The annual freezing and thawing indices of the ground surface are one of the most important parameters to assess the permafrost and seasonally frozen ground distribution and to estimate the seasonal freeze and thaw depth in cold regions (Anisimov et al., 2007, Frauenfeld et al., 2004, Nelson and Outcalt, 1987, Shiklomanov and Nelson, 2002, Zhang et al., 2005), applied extensively in engineering designs in cold regions (Lunardini, 1981), and considered as a useful indicator of climate change as well (Frauenfeld et al., 2007). Freezing index reflects combined magnitude and duration of air or surface temperatures below freezing during given cold season and is one of the major parameters used to assess the ground-freezing potential of a given climate. The most important applications of freezing index are to determine the seasonal ground frost depth, to estimate the effect of freezing conditions on the soil foundations of structures, and to provide implications for design of road pavement and maintenance operations of infrastructures in cold regions (Schmidlin and Dethier, 1985, Steurer, 1996). Similarly, a close relationship between thawing index and active layer thickness has been demonstrated in many studies (Brown et al., 2000, Frauenfeld et al., 2004, Hinkel and Nelson, 2003, Nelson et al., 1998, Romanovsky and Osterkamp, 1997). In Geocryology, the square root of surface annual thawing index is used to directly determine active layer thickness in Stefan equation (Nelson and Outcalt, 1983, Nelson and Outcalt, 1987, Zhang et al., 2005). An important parameter, n-factor, was introduced to reflect the relationship between the air temperature and the ground surface temperature in cold regions (Lunardini, 1978). The surface freezing and thawing indices are essential variables involved in the calculation of the n-factor.
There are two kinds of freezing and thawing indices in terminology of climatology; air freezing/thawing index and surface freezing/thawing index. Generally, the air and surface freezing/thawing indices are defined as the cumulative number of degree-days below/above 0 °C for air temperature and ground surface temperature respectively during a given time period. There are a lot of studies to introduce the freezing and thawing indices of air temperature (Frauenfeld et al., 2007, Hanson et al., 2010, Jiang et al., 2008, Schmidlin and Dethier, 1985, Steurer, 1996, Wu et al., 2008). The widely applied air freezing/thawing index during the past decades was described by Frauenfeld et al. (2007), while at present there are relatively few literature demonstrating the surface freezing and thawing indices because of unavailability of consecutive instrumental records of long-term ground surface temperature time series.
In this paper we document the variations of surface freezing/thawing index in Mongolia, on the basis of analysis of continuous instrumental records of monthly ground surface temperature series at 20 meteorological stations relatively evenly distributed in this country from 1987 to 2006. The 3-year observation of ground surface temperature acquired by infrared sensor and thermistor sensor at the depth of 5 cm at a representative automatic weather station is used to assess the validity of using monthly ground surface temperature data in the calculation of the approximate annual surface freezing/thawing index. The estimation of variations in the annual freezing/thawing index would be counted on to enhance our understanding of climate change and variations in thermal regime of ground surface near the southern boundary of Siberian permafrost regions.

Section snippets

Data and methodology

We use mean monthly ground surface temperature data to calculate the surface freezing/thawing index at 20 meteorological stations (Fig. 1), whose ground surface temperature series is available and continuously covering the period of 1987–2006. The ground surface temperature was measured at a depth of 0 cm at each standard meteorological station. The monthly ground surface temperature series dataset was provided by the Institute of Meteorology and Hydrology of Mongolia (IMH). Few missing values

Results and discussion

Table 3 summarizes the annual trends of surface freezing and thawing indices at the selected 20 stations in Mongolia during the period 1987–2005. As for the reminiscent reflector of cold-season temperature climatology, the surface freezing index at Baruunturuu and Uliastai station shows a significant increase at a rate of 18 °C-day/yr and 39 °C-day/yr at the 95% level of confidence. However, no significant change in surface freezing index for the time period 1987–2005 is observed at the other 18

Conclusions

A set of 3-year continuous daily observation data of ground surface temperature at an automatic weather station in the central Mongolian Plateau is used to assess the accuracy of using monthly observation data to calculate surface freezing/thawing index. The result has shown that the relative errors of surface freezing/thawing index between using daily and monthly measured data are less than 2% for calculation of surface freezing index and less than 3% for calculation of surface thawing index.

Acknowledgment

The study conducted in this paper is funded by the Project "Establishment of Early Observation Network for the Impacts of Global Warming", sponsored by the Ministry of Environment, Japan. The work is also partly supported by the Global Change Research Program of China (2010CB951402). The authors thank the Institute of Meteorology and Hydrology, Mongolian Academy of Sciences, for providing the meteorological data for this study. The constructive comments from two anonymous reviewers are

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