2 research outputs found

    Hydroclimate in Eurasia from the Arctic to the Tropics

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    Thesis (Ph.D.) University of Alaska Fairbanks, 2018Hydrometeorology in Eurasia connects the Arctic with lower latitudes through exchanges in moisture and teleconnections influencing climate variability. This thesis investigates the role of dams on the Kolyma basin, of precipitation and temperature change on a pristine permafrost lined basin of the Yana, and of changing snow cover over Eurasia on the Indian Monsoon. These three pieces of work illustrate different aspects of a changing climate that impact Eurasian hydrometeorological variations. The Kolyma is one of the large rivers which flows into the Arctic Ocean where there has been a large winter increase and summer decrease in flow over the 1986-2000 period. Winter months are characterized by low flow while summer months by high flow. Reservoir regulation was identified as the main cause of changes in the discharge pattern, since water is released in winter for power generation and stored in summer for flood control. The overall discharge to the Arctic Ocean has decreased for Kolyma basin, despite the increase during winter. This study documents how human activities (particularly reservoirs) impact seasonal and regional hydrological variations. The Yana Basin is a small pristine basin that has experienced minimal human impact and is ideal for investigating the role of climate variability on discharge. The precipitation discharge and temperature discharge analysis for Ubileinaya suggests that increased precipitation and higher temperatures resulted in higher discharge, but other parameters also come into play since greater precipitation does not always yield higher discharge. Overall our analysis for this station has increased our understanding of natural basins and how the climate variables like precipitation and temperature play a role. Recent increases in May-June Indian monsoon rain fall were investigated in the context of Eurasian snow cover variations since the onset of the monsoon has long been linked to Himalayan snow cover. Himalayan snow cover and depth have decreased and this study argues that this is the driver of increased rainfall during May-June, the pre-monsoon and early monsoon period. In addition, there has been an increase in snow water equivalent in Northern part of Eurasia and decrease in Southern part, suggesting that the anomalies are large-scale. Storm track analysis reveals an increase in the number of storms in northern and a decrease in southern Eurasia. The large-scale Eurasian snow increases have been shown by other studies to be linked to Arctic sea ice decline. The direct linkage between fall Arctic sea ice decline and an increase in May-June Indian monsoon rainfall is proposed in this work but the exact climate mechanism is tenuous at this point. This study is focused on understanding changing Arctic rivers and the connection of the Arctic with the Indian monsoon. Our study has shed some light into the connection between the Arctic and the tropics. This study could benefit from modeling study where we could have case study with and without sea ice to understand better how that could impact the monsoon and the hydrological cycle in the present and the future. Better understanding of the mechanism would help us take steps towards better adaptation policies.1. Introduction -- 1.1 Introduction to Arctic Hydrology -- 1.2 Introduction to Indian Monsoon and its link to the Arctic -- 1.3 Scientific Questions and Objectives -- 1.4 References. 2. Streamflow Characteristics and Changes in Kolyma Basin in Siberia -- 2.1 Abstract -- 2.2 Introduction -- 2.3 Basin description, datasets, and methods of analyses -- 2.4 Streamflow regime and change -- a. Kulu (upper basin) -- b. Orotuk (upper basin) -- c. Duscania (upper basin) -- d. Sinegor'e (upper basin) -- e. Ust'-Srednekan (upper basin) -- f. Yasachnaya at Nelemnoy (unregulated tributary/middle basin) -- g. Srednekolunsk (lower basin) -- h. Kolymskoye (lower basin) -- i. Eastern tributaries -- 2.5 Conclusions -- 2.6 Acknowledgments -- 2.7 Figures -- 2.8 Tables -- 2.9 References. 3. Streamflow analysis for the Yana basin in eastern Siberia -- 3.1 Abstract -- 3.2 Introduction -- 3.3 Data and Methodology -- 3.4 Result and Discussion -- a. Basin climatology -- 3.5 Basin hydrology -- 3.6 SWE vs runoff -- 3.7 SWE vs discharge -- 3.8 Conclusion -- 3.9 Figures -- 3.10 References. 4. Is there a Link Between Changing Indian Monsoon Seasonality and the Cryosphere? -- 4.1 Abstract -- 4.2 Introduction -- 4.3 Data and Methods -- 4.3.1 Data -- 4.3.1.1 All India Rainfall Data -- 4.3.1.2 SnowWater Equivalent -- 4.3.1.3 Snow cover Extent -- 4.3.1.4 Himalaya Snow Depth Data -- 4.3.1.5 Sea Ice -- 4.3.1.6 Storm Tracks -- 4.3.1.7 CESM LENS -- 4.3.2 Analysis Methods -- 4.4 Results -- 4.4.1 Monsoon Trend and Changing Seasonality -- 4.4.2 Eurasian Snow -- 4.4.3 Future of Monsoon: Comparison with Model and Future Simulations -- 4.5 Discussion -- 4.6 Conclusion -- 4.7 Figures -- 4.8 References. 5. Conclusions -- 5.1 Summary -- 5.2 Conclusions -- 5.3 Future outlook

    Modelling climate change impacts on the Brahmaputra streamflow resulting from change in snowpack attributes

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    The Tibetan Plateau (TP) plays a critical role in modulating the hydrology for a number of prominent river basins. Despite its importance, changes in hydrological processes of the region are not closely monitored. It is now well known that rising temperatures are impacting the water cycle in the Plateau. The Upper Brahmaputra Basin, originating from the TP, provides fresh water for a large population downstream and its likely change in reference to future water availability is the focus of this thesis. One possible way to ascertain and project such changes is to formulate hydrological models and use simulations from General Circulation Models (GCMs) and Regional Climate Models (RCMs) as inputs. This thesis seeks to investigate climate change impacts on snowpack and streamflow as its two key aims. The first part of the thesis explores snowpack changes in terms of within-year accumulation and depletion across the Northern Hemisphere using measured spatially distributed snow water equivalent (SWE) information. Following this, a catchment-scale investigation of uncertainties in precipitation downscaling across the TP is then presented. Such uncertainties affect future projections of precipitation, which in turn influence streamflow simulations. Next, an evaluation of GCM and RCM-derived SWE is reported, which reveals that both GCM and RCM products suffer from significant uncertainties and biases. Such uncertainties and biases in SWE and other climatic variables are reduced significantly using a multivariate bias correction approach. In the second part of the thesis, a conceptual hydrological model is proposed to assess the impact of temperature-driven changes in snowpack attributes on the streamflow, considering the lack of data available for the upper Brahmaputra basin. The model simulates snow cover fraction, SWE and streamflow using temperature and precipitation information. The results show that SWE is likely to decrease in the near future (2041 to 2064) as well as in the far future (2071 to 2094), which will impact streamflow, and hence water availability for a significant portion of the global population that depends on the water supplied by the Brahmaputra as well as the other major rivers originating from the Tibetan Plateau
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