During the summer monsoon season,the moisture of precipitation events in southern and central regions of the Tibetan Plateau is mainly moisture from the Indian Ocean transported by the Indian monsoon and terrestrial vapor derived from the surface of the Tibetan Plateau.However,the respective contributions of these two types of moisture are not clear.From June to September,the excess deuterium values of precipitation and river water in the Nam Co basin are higher than those for the southern Tibetan Plateau.This reflects the mixing of evaporation from Nam Co and local atmospheric vapor.On the basis of theory for estimating the contribution of evaporative vapor from surface water bodies to atmospheric vapor and relative stable isotopes in water bodies (precipitation,river water,atmospheric moisture and lake water),this study preliminarily estimates that the average contribution of evaporation from the Lake Nam Co to local atmospheric vapor has varied from 28.4% to 31.1% during the summer monsoon season in recent years.
Water storage has important significance for understanding water cycles of global and local domains and for monitoring climate and environmental changes.As a key variable in hydrology,water storage change represents the sum of precipitation,evaporation,surface runoff,soil water and groundwater exchanges.Water storage change data during the period of 2003-2008 for the source region of the Yellow River were collected from Gravity Recovery and Climate Experiment(GRACE)satellite data.The monthly actual evaporation was estimated according to the water balance equation.The simulated actual evaporation was significantly consistent and correlative with not only the observed pan(20 cm)data,but also the simulated results of the version 2 of Simple Biosphere model.The average annual evaporation of the Tangnaihai Basin was 506.4 mm,where evaporation in spring,summer,autumn and winter was 130.9 mm,275.2 mm,74.3 mm and 26.1 mm,and accounted for 25.8%,54.3%,14.7% and 5.2% of the average annual evaporation,respectively.The precipitation increased slightly and the actual evaporation showed an obvious decrease.The water storage change of the source region of the Yellow River displayed an increase of 0.51 mm per month from 2003 to 2008,which indicated that the storage capacity has significantly increased,probably caused by the degradation of permafrost and the increase of the thickness of active layers.The decline of actual evaporation and the increase of water storage capacity resulted in the increase of river runoff.
Min XUBaiSheng YEQiuDong ZHAOShiQing ZHANGJiang WANG
Relative humidity is an important factor in water and water vapor feedback cycles.In this study,we established a 222-year annual tree-ring δ^(18)O chronology for Siberian larch(Larix sibirica Ldb.)from the Altay Mountains in northwestern China.Climate response analyses revealed that the relative humidity was the primary factor limiting tree-ring δ^(18)O fractionation.Based on our analysis,tree-ring δ^(18)O can be used to reconstruct the July–August relative humidity based on both a reasonable mechanism of tree-ring δ^(18)O fractionation and a statistically significant regression model.We used this model to reconstruct variations in the July–August relative humidity,and the model explained 47.4% of the total variation in the measured relative humidity data from 1961 to 2011.The relative humidity in the study area increased from 1900 to the 1990s and decreased thereafter.Two regime-shift dry periods were detected during the study period(one from 1817 to 1830 and the other from 2004 to 2011).
A field observation on the albedo of the snowpack in Central Tibet was conducted in the Nam Co region in the winter of 2011. Snow properties, including grain size and density, were measured in the field, and surface-layer snow samples (down to 5 cm) were collected. The average concentrations of black carbon and dust were 72 ppbm (close to that in the glaciers of Mt. Nyainqentanglha) and 120 ppmm, respectively. Inverse trends were found to exist between the albedo of the snowpack and light-absorbing aerosols (LAAs) as well as grain size growth. Modeling showed that black carbon, dust, and grain growth in the winter snowpack can reduce the broadband albedo by 11%, 28%, and 61%, respectively.
