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Section 2: Climate Change and Hydrology

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https://hdl.handle.net/10217/195527

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Browsing Section 2: Climate Change and Hydrology by Subject "Mongolia"

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    Earlywood, latewood, and adjusted latewood correlations to precipitation: a test case from the Khangai Mountains, Mongolia
    (Colorado State University. Libraries, 2015-06) Wolf, J. Marshall, author; Venable, Niah B. H., author; Nutag Action and Research Institute, publisher
    The Khangai Mountains of central Mongolia provide important ecosystem services to the surrounding region as the headwaters for a number of river systems and critical pasture for the animal herds of nomadic pastoralists. The mountains also provide a long-term record of regional moisture variability preserved within the tree-rings of Siberian larch (Larix sibirica) forests. Ring width measurements are commonly used to statistically reconstruct the hydroclimatology of a region based on the correlation of ring widths to precipitation and/or streamflow. Tree cores were collected, cross-dated, and the ring widths were measured from a site near Jargalant bagh in northern Bayankhongor aimag. Seasonal precipitation totals for the period from 1962 to 2012 were compiled from several meteorological stations surrounding the site. These historical precipitation values were compared to indices of total (TW), earlywood (EW), and latewood (LW) ring widths generated from a series of 16 cores. Nearly 70% of the annual precipitation in the Khangai region falls during the summer season (June, July, August), resulting in stronger correlations of ring widths (TW, EW and LW) to the previous year's summer precipitation than to the current year's spring or previous year's fall precipitation. The dependence of LW widths on antecedent EW ring widths masks any correlation to spring and fall precipitation. This dependence was removed using linear regression, resulting in the discovery of a negative relationship between the adjusted latewood (LWa) ring widths and precipitation in both spring of the current year and fall of the previous year. This indicates that LWa captures a different climate signal not detectable when working with the original LW, EW or TW measurements. Correlations of EW with (previous year's) summer precipitation were similar in value to correlations of TW with (previous year's) summer precipitation, suggesting that additional measurements of ring width may not be needed for use in reconstructing long-term summer precipitation variability. However, LWa and the associated measurements required for its calculation may be potentially useful for reconstructing spring and fall precipitation patterns in summer precipitation-dominated hydroclimate systems.
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    ItemOpen Access
    Spatial changes in climate across Mongolia
    (Colorado State University. Libraries, 2015-06) Venable, Niah B. H., author; Fassnacht, Steven R., author; Hendricks, Alyssa D., author; Nutag Action and Research Institute, publisher
    Previous research using meteorological station data suggests that temperatures and precipitation have been changing more across the semi-arid and arid country of Mongolia than in many other locations across the globe. We used gridded monthly data to determine the annual and seasonal rate of change in total precipitation (P), maximum temperature (Tmax), and minimum temperature (Tmin), as computed from the non-parametric Thiel-Sen slope estimator method. The significance of those changes were computed from the Mann-Kendall test. The University of East Anglia Climatic Research Unit (CRU) dataset was used for the 50-year time period from 1963 through 2012 at a 0.5 degree (~55 km) resolution. For the first 30 years, 30 to 35 meteorological stations from across Mongolia were used to create the spatially distributed "High Resolution Gridded Data of Month-by-Month Variation in Climate" CRU product; 20 to 30 stations were used for the last 20 years due to a decrease in the number of operational stations. Results are presented as maps of 1) mean total annual P, and mean annual Tmax and Tmin, and ii) annual trends over the length of record (1963-2012) with significance overlain, for the three variables. Rates of change at annual and seasonal time scales varied spatially with more consistent increases in temperature; significant precipitation trends were observed over smaller areas than significant temperature trends.