Black carbon(BC) deposited on snow and glacier surfaces can reduce albedo and lead to accelerated melt. An ice core recovered from Guoqu glacier on Mt. Geladaindong and analyzed using a Single Particle Soot Photometer...Black carbon(BC) deposited on snow and glacier surfaces can reduce albedo and lead to accelerated melt. An ice core recovered from Guoqu glacier on Mt. Geladaindong and analyzed using a Single Particle Soot Photometer(SP2) provides the ?rst long-term(1843-1982) record of BC from the central Tibetan Plateau. Post 1940 the record is characterized by an increased occurrence of years with above average BC, and the highest BC values of the record. The BC increase in recent decades is likely caused by a combination of increased emissions from regional BC sources, and a reduction in snow accumulation. Guoqu glacier has received no net ice accumulation since the 1980 s, and is a potential example of a glacier where an increase in the equilibrium line altitude is exposing buried high impurity layers. That BC concentrations in the uppermost layers of the Geladaindong ice core are not substantially higher relative to deeper in the ice core suggests that some of the BC that must have been deposited on Guoqu glacier via wet or dry deposition between 1983 and 2005 has been removed from the surface of the glacier, potentially via supraglacial or englacial meltwater.展开更多
Pine Island Glacier(PIG),the largest glacier in the Amundsen Sea Embayment of West Antarctica,has contributed to over a quarter of the observed sea level rise around Antarctica.In recent years,multiple observations ha...Pine Island Glacier(PIG),the largest glacier in the Amundsen Sea Embayment of West Antarctica,has contributed to over a quarter of the observed sea level rise around Antarctica.In recent years,multiple observations have confirmed its continuous retreat,ice flow acceleration and profound surface melt.Understanding these changes is crucial for accurately monitoring ice mass discharge and future Antarctic contributions to sea level rise.Therefore,it is essential to investigate the complex interactions between these variables to comprehend how they collectively affect the overall stability of the intricate PIG system.In this study,we utilized high-resolution remote sensing data and deep learning method to detect and analyze the spatio-temporal variations of surface melt,ice shelf calving,and ice flow velocity of the PIG from 2015 to 2023.We explored the correlations among these factors to understand their long-term impacts on the glacier's stability.Our findings reveal a retreat of 26.3 km and a mass loss of 1001.6 km^(2) during 2015-2023.Notably,extensive surface melting was observed,particularly in the 2016/2017 and 2019/2020 melting seasons.Satellite data vividly illustrate prolonged and intense melting periods,correlating with a significant retreat in the glacier's terminus position in 2019/2020.Furthermore,the comprehensive analysis of surface melting and the cumulative retreat of the ice shelf from 2017 to 2020 on the PIG shows atemporal relationship with subsequent significant changes in ice fow velocity,ranging from 10.9 to 12.2 m d^(-1),with an average acceleration rate of 12%.These empirical findings elucidate the intricate relationship among surface melt,ice flow velocity,and consequential glacier dynamics.A profound understanding of these interrelationships holds paramount importance in glacier dynamic changes and modeling,providing invaluable insights into potential glacier responses to global climate change.展开更多
为探讨云量对冰川表面能量平衡(SEB)的影响,利用架设在老虎沟12号冰川(简称12号冰川)消融区(4 550m a. s. l.)的自动气象站资料,结合能量平衡模型计算各能量分量并分析其季节变化,通过云量参数化方案获取云量因子并量化其对冰川表面能...为探讨云量对冰川表面能量平衡(SEB)的影响,利用架设在老虎沟12号冰川(简称12号冰川)消融区(4 550m a. s. l.)的自动气象站资料,结合能量平衡模型计算各能量分量并分析其季节变化,通过云量参数化方案获取云量因子并量化其对冰川表面能量收支的影响。结果表明:净短波辐射为冰川表面主要的能量来源(92%),净长波辐射为主要能量支出(61%),二者均受云量影响,但云的短波辐射效应更强(-37W·m^(-2))。云量通过影响辐射收支和湍流通量进而影响冰川表面能量收支,随云量的增加,冰川表面获得的能量减少,冰川消融速率降低。与其他区域的冰川表面能量收支对比,除地理位置、反照率、气温等因素外,海拔和云量的影响也非常显著。展开更多
As a component of streamflow, baseflow is critical for regulating seasonal distribution of river fows and stabilizing water supplies. Water resources in the arid area of Northwest China are mainly from multiple catchm...As a component of streamflow, baseflow is critical for regulating seasonal distribution of river fows and stabilizing water supplies. Water resources in the arid area of Northwest China are mainly from multiple catchments in the alpine that could be influenced by varieties of climatic, land cover, soil and geological factors. While numerous studies have been done on streamflow, systematic analysis of baseflow in the alpine river systems is scare. Based on historical daily streamflow data and the automated digital filter method of baseflow separation, this study investigated characteristics of hydrographs of overland flow, streamflow and baseflowof river systems fed by rainfall, snowmelt, glacier melt or mixtures of these. This study also calculated the recession constants and baseflow indices of 65 river systems. While the recession constant was o.oo34- o.o728 with a mean of o.o18, the baseflow index was 0.27-0.79 with a mean of 0.57. Further, Spearman＇s correlation analysis showed that the baseflow index was significantly correlated with catchment climatic factors （e.g., precipitation and temperature）, topographic factors （e.g., elevation and slope） and aquifer properties represented by the recession constant. Multiple regression analysis indicated that the factors explained 65% of the variability of baseflow index in the studv area.展开更多
The covered-ice breakup in subarctic to arctic rivers in the early snowmelt season often gives any damage to instruments monitoring physical and chemical factors of water. The serious condition has brought few time se...The covered-ice breakup in subarctic to arctic rivers in the early snowmelt season often gives any damage to instruments monitoring physical and chemical factors of water. The serious condition has brought few time series data during the snowmelt runoff except the river stage or discharge. In this study, the contribution of snowmelt runoff to the discharge and sediment load is quantified by monitoring water turbidity and temperature at the lowest gauging station of U. S. Geological Survey in the Yukon River, Alaska, for more than 3 years (June 2006 to September 2009). The turbidity was recorded by a self-recording turbidimeter with a sensor of infrared-ray back-scattering type, of which the window is cleaned by a wiper just before a measurement. The turbidity time series, coupled with frequent river water sampling at mid-channel, produce time series of suspended sediment (SS) concentration, particulate organic carbon (POC) concentration and particulate organic nitrogen (PON) concentration (mg?L–1) by using the high correlation (R2 = 0.747 to 0.790;P 11 to 2.01 × 1011 m3), 8.7% - 22.5% of the annual sediment load (3.94 × 107 to 5.08 × 107 ton), 11.6% - 23.7% of the annual POC flux (4.05 × 105 to 4.77 × 105 ton), and 10.3% - 24.5% of the annual PON flux (2.80 × 104 to 3.44 × 104 ton). In the snowmelt season, the peak suspended sediment concentration preceded the peak discharge by a few days. This probably results from the fluvial sediment erosion in the river channels.展开更多
Hydrology of the high glacierized region in the Tianshan Mountains is an important water resource for arid and semiarid areas of China,even Central Asia.The hydrological process is complex to understand,due to the hig...Hydrology of the high glacierized region in the Tianshan Mountains is an important water resource for arid and semiarid areas of China,even Central Asia.The hydrological process is complex to understand,due to the high variability in cli mate and the lack of hydrometeorological data.Based on field observations,the present study analyzes the meteorological and hydrological characteristics of the Koxkar Glacier River Basin during 20082011;and the factors influencing climate impact on glacier hydrology are discussed.The results show that precipitation at the terminus of the glacier was 426.2 mm,471.8 mm,624.9 mm,and 532 mm in 2008,2009,2010,and 2011,respectively.Discharge increases starting in May,reaches its highest value in July and August,and then starts to decrease.The mean annual discharge was 118.23×106 m3 during the four years observed,with 87.0%occurring in the ablation season(May September).During the study period,the runoff in August accounted for 29%of total streamflow,followed by July(22%)and June(14%).The runoff exhibited obviously high interannual variability from April to September,induced by drastic changes in climate factors.Discharge autocorrelations are very high for all the years.The climate factors show different influences on discharge.The highest correlation R between daily temperature and discharge was for a time lag of 23 days 2on the Koxkar Glacier(0.660.76).The daily depth of runoff to daily temperature and daily water vapor pressure had an R value of 0.56 and 0.69,respective ly,which could be described by an exponential function.A closer relationship is found between runoff and either tempera ture or water vapor pressure on a monthly scale;the R2 values are 0.65 and 0.78,respectively.The study helps us to under stand the mechanisms of the hydrological meteorological system of typical regional glaciers and to provide a reference for glacier-runoff simulations and water-resource management.展开更多
Supraglacial debris is widely present on glaciers in alpine environments and its distribution greatly affects glacier melt.The present study aims to determine the effect of debris on glacier ice melt on Ponkar Glacier...Supraglacial debris is widely present on glaciers in alpine environments and its distribution greatly affects glacier melt.The present study aims to determine the effect of debris on glacier ice melt on Ponkar Glacier,Manang District,Nepal.We estimated ice melt under various debris thickness using Energy Balance(EB)model and conductive heat flux methods,which are compared with in-situ observations.Four stakes are installed on the glacier at different debris thickness of 11−40 cm.Meteorological data from March 2016 to May 2018 are obtained from the Automatic Weather Station(AWS)installed on the glacier surface at an elevation of 3,881 m a.s.l.for the energy balance calculation.Debris surface temperature and different debris depths are also measured on the glacier.The calculated ablation rates from the conductive heat flux method are 0.9,1.62 and 0.41 cm/d on pre-monsoon,monsoon and post-monsoon,respectively,with mean debris thermal conductivity 1.04 W/(m∙K).The net radiation shows little variation between the seasons,while turbulent heat flux varies in the season.Sensible heat flux was found to be highest in post-monsoon season due to a larger temperature gradient between surface and air.展开更多
In the Third Pole (TP) region, there are about 100,000 km2of glaciers [1], distributed mainly in the Tibetan Plateau and its surroundings. Glacier melt-water from these glaciers not only feeds rivers, such as the Indu...In the Third Pole (TP) region, there are about 100,000 km2of glaciers [1], distributed mainly in the Tibetan Plateau and its surroundings. Glacier melt-water from these glaciers not only feeds rivers, such as the Indus, Brahmaputra, Ganges, Yellow and Yangtze, which finally reach the seas, but also feeds the rivers, such as the Tarim River, Heihe River and a lot of other rivers, which finally reach the arid areas or deserts. The Asian Water Tower [2]is, therefore, proposed to characterize the significance of the glaciers and glacier melt water at all the river heads in the TP, which is important water resource both for regulating seasonal water demands in the arid areas or deserts and for sea level rising. In addition, they also change the water cycle at a large scale [3].展开更多
Hydrologiska Byrans Vattenbalansavdeling(HBV) Light model was used to evaluate the performance of the model in response to climate change in the snowy and glaciated catchment area of Hunza River Basin. The study aimed...Hydrologiska Byrans Vattenbalansavdeling(HBV) Light model was used to evaluate the performance of the model in response to climate change in the snowy and glaciated catchment area of Hunza River Basin. The study aimed to understand the temporal variation of streamflow of Hunza River and its contribution to Indus River System(IRS). HBV model performed fairly well both during calibration(R2=0.87, Reff=0.85, PBIAS=-0.36) and validation(R2=0.86, Reff=0.83, PBIAS=-13.58) periods on daily time scale in the Hunza River Basin. Model performed better on monthly time scale with slightly underestimated low flows period during bothcalibration(R2=0.94, Reff=0.88, PBIAS=0.47) and validation(R2=0.92, Reff=0.85, PBIAS=15.83) periods. Simulated streamflow analysis from 1995-2010 unveiled that the average percentage contribution of snow, rain and glacier melt to the streamflow of Hunza River is about 16.5%, 19.4% and 64% respectively. In addition, the HBV-Light model performance was also evaluated for prediction of future streamflow in the Hunza River using future projected data of three General Circulation Model(GCMs) i.e. BCC-CSM1.1, CanESM2, and MIROCESM under RCP2.6, 4.5 and 8.5 and predictions were made over three time periods, 2010-2039, 2040-2069 and 2070-2099, using 1980-2010 as the control period. Overall projected climate results reveal that temperature and precipitation are the most sensitiveparameters to the streamflow of Hunza River. MIROC-ESM predicted the highest increase in the future streamflow of the Hunza River due to increase in temperature and precipitation under RCP4.5 and 8.5 scenarios from 2010-2099 while predicted slight increase in the streamflow under RCP2.6 during the start and end of the 21 th century. However, BCCCSM1.1 predicted decrease in the streamflow under RCP8.5 due to decrease in temperature and precipitation from 2010-2099. However, Can ESM2 predicted 22%-88% increase in the streamflow under RCP4.5 from 2010-2099. The results of this study could be useful for decision making and effective fut展开更多
基金funded by the National Science Foundation(OISE-0653933 and EAR-0957935)the National Natural Science Foundation of China(41121001,41225002)Geological Society of America Graduate Research Grant
文摘Black carbon(BC) deposited on snow and glacier surfaces can reduce albedo and lead to accelerated melt. An ice core recovered from Guoqu glacier on Mt. Geladaindong and analyzed using a Single Particle Soot Photometer(SP2) provides the ?rst long-term(1843-1982) record of BC from the central Tibetan Plateau. Post 1940 the record is characterized by an increased occurrence of years with above average BC, and the highest BC values of the record. The BC increase in recent decades is likely caused by a combination of increased emissions from regional BC sources, and a reduction in snow accumulation. Guoqu glacier has received no net ice accumulation since the 1980 s, and is a potential example of a glacier where an increase in the equilibrium line altitude is exposing buried high impurity layers. That BC concentrations in the uppermost layers of the Geladaindong ice core are not substantially higher relative to deeper in the ice core suggests that some of the BC that must have been deposited on Guoqu glacier via wet or dry deposition between 1983 and 2005 has been removed from the surface of the glacier, potentially via supraglacial or englacial meltwater.
基金This work was supported by the National Natural Science Foundation of China(42376246)the Key Research and Development Project of Guangxi(GuikeAB24010046)the Joint Funds of the National Natural Science Foundation of China(U2268217)。
文摘Pine Island Glacier(PIG),the largest glacier in the Amundsen Sea Embayment of West Antarctica,has contributed to over a quarter of the observed sea level rise around Antarctica.In recent years,multiple observations have confirmed its continuous retreat,ice flow acceleration and profound surface melt.Understanding these changes is crucial for accurately monitoring ice mass discharge and future Antarctic contributions to sea level rise.Therefore,it is essential to investigate the complex interactions between these variables to comprehend how they collectively affect the overall stability of the intricate PIG system.In this study,we utilized high-resolution remote sensing data and deep learning method to detect and analyze the spatio-temporal variations of surface melt,ice shelf calving,and ice flow velocity of the PIG from 2015 to 2023.We explored the correlations among these factors to understand their long-term impacts on the glacier's stability.Our findings reveal a retreat of 26.3 km and a mass loss of 1001.6 km^(2) during 2015-2023.Notably,extensive surface melting was observed,particularly in the 2016/2017 and 2019/2020 melting seasons.Satellite data vividly illustrate prolonged and intense melting periods,correlating with a significant retreat in the glacier's terminus position in 2019/2020.Furthermore,the comprehensive analysis of surface melting and the cumulative retreat of the ice shelf from 2017 to 2020 on the PIG shows atemporal relationship with subsequent significant changes in ice fow velocity,ranging from 10.9 to 12.2 m d^(-1),with an average acceleration rate of 12%.These empirical findings elucidate the intricate relationship among surface melt,ice flow velocity,and consequential glacier dynamics.A profound understanding of these interrelationships holds paramount importance in glacier dynamic changes and modeling,providing invaluable insights into potential glacier responses to global climate change.
文摘为探讨云量对冰川表面能量平衡(SEB)的影响,利用架设在老虎沟12号冰川(简称12号冰川)消融区(4 550m a. s. l.)的自动气象站资料,结合能量平衡模型计算各能量分量并分析其季节变化,通过云量参数化方案获取云量因子并量化其对冰川表面能量收支的影响。结果表明:净短波辐射为冰川表面主要的能量来源(92%),净长波辐射为主要能量支出(61%),二者均受云量影响,但云的短波辐射效应更强(-37W·m^(-2))。云量通过影响辐射收支和湍流通量进而影响冰川表面能量收支,随云量的增加,冰川表面获得的能量减少,冰川消融速率降低。与其他区域的冰川表面能量收支对比,除地理位置、反照率、气温等因素外,海拔和云量的影响也非常显著。
基金funded by the International Co-operation Program of the Ministry of Science and Technology of China (Grant No. 2010DFA92720)the Project of the National Eleventh-Five Year Research Program of China (Grant No. 2012BAC19B07)
文摘As a component of streamflow, baseflow is critical for regulating seasonal distribution of river fows and stabilizing water supplies. Water resources in the arid area of Northwest China are mainly from multiple catchments in the alpine that could be influenced by varieties of climatic, land cover, soil and geological factors. While numerous studies have been done on streamflow, systematic analysis of baseflow in the alpine river systems is scare. Based on historical daily streamflow data and the automated digital filter method of baseflow separation, this study investigated characteristics of hydrographs of overland flow, streamflow and baseflowof river systems fed by rainfall, snowmelt, glacier melt or mixtures of these. This study also calculated the recession constants and baseflow indices of 65 river systems. While the recession constant was o.oo34- o.o728 with a mean of o.o18, the baseflow index was 0.27-0.79 with a mean of 0.57. Further, Spearman＇s correlation analysis showed that the baseflow index was significantly correlated with catchment climatic factors （e.g., precipitation and temperature）, topographic factors （e.g., elevation and slope） and aquifer properties represented by the recession constant. Multiple regression analysis indicated that the factors explained 65% of the variability of baseflow index in the studv area.
文摘The covered-ice breakup in subarctic to arctic rivers in the early snowmelt season often gives any damage to instruments monitoring physical and chemical factors of water. The serious condition has brought few time series data during the snowmelt runoff except the river stage or discharge. In this study, the contribution of snowmelt runoff to the discharge and sediment load is quantified by monitoring water turbidity and temperature at the lowest gauging station of U. S. Geological Survey in the Yukon River, Alaska, for more than 3 years (June 2006 to September 2009). The turbidity was recorded by a self-recording turbidimeter with a sensor of infrared-ray back-scattering type, of which the window is cleaned by a wiper just before a measurement. The turbidity time series, coupled with frequent river water sampling at mid-channel, produce time series of suspended sediment (SS) concentration, particulate organic carbon (POC) concentration and particulate organic nitrogen (PON) concentration (mg?L–1) by using the high correlation (R2 = 0.747 to 0.790;P 11 to 2.01 × 1011 m3), 8.7% - 22.5% of the annual sediment load (3.94 × 107 to 5.08 × 107 ton), 11.6% - 23.7% of the annual POC flux (4.05 × 105 to 4.77 × 105 ton), and 10.3% - 24.5% of the annual PON flux (2.80 × 104 to 3.44 × 104 ton). In the snowmelt season, the peak suspended sediment concentration preceded the peak discharge by a few days. This probably results from the fluvial sediment erosion in the river channels.
基金supported by the National Natural Science Foundation of China(41971094,41871055,41871059)a project of the State Key Laboratory of Cryospheric Science(SKLCS-ZZ-2019)+1 种基金the Youth Innovation Promotion Association CAS(2019414)the CAS Pioneer Hundred Talents Program(Xiaoming Wang)
文摘Hydrology of the high glacierized region in the Tianshan Mountains is an important water resource for arid and semiarid areas of China,even Central Asia.The hydrological process is complex to understand,due to the high variability in cli mate and the lack of hydrometeorological data.Based on field observations,the present study analyzes the meteorological and hydrological characteristics of the Koxkar Glacier River Basin during 20082011;and the factors influencing climate impact on glacier hydrology are discussed.The results show that precipitation at the terminus of the glacier was 426.2 mm,471.8 mm,624.9 mm,and 532 mm in 2008,2009,2010,and 2011,respectively.Discharge increases starting in May,reaches its highest value in July and August,and then starts to decrease.The mean annual discharge was 118.23×106 m3 during the four years observed,with 87.0%occurring in the ablation season(May September).During the study period,the runoff in August accounted for 29%of total streamflow,followed by July(22%)and June(14%).The runoff exhibited obviously high interannual variability from April to September,induced by drastic changes in climate factors.Discharge autocorrelations are very high for all the years.The climate factors show different influences on discharge.The highest correlation R between daily temperature and discharge was for a time lag of 23 days 2on the Koxkar Glacier(0.660.76).The daily depth of runoff to daily temperature and daily water vapor pressure had an R value of 0.56 and 0.69,respective ly,which could be described by an exponential function.A closer relationship is found between runoff and either tempera ture or water vapor pressure on a monthly scale;the R2 values are 0.65 and 0.78,respectively.The study helps us to under stand the mechanisms of the hydrological meteorological system of typical regional glaciers and to provide a reference for glacier-runoff simulations and water-resource management.
基金the International Centre for Integrated Mountain Development(ICIMOD)and supported by the Norwegian Ministry of Foreign Affairs and Contribution to High Asia Runoff from Ice and Snow(CHARIS)funded by United States Agency for International Development(USAID)through the University of Colorado at Boulder,CO,USA。
文摘Supraglacial debris is widely present on glaciers in alpine environments and its distribution greatly affects glacier melt.The present study aims to determine the effect of debris on glacier ice melt on Ponkar Glacier,Manang District,Nepal.We estimated ice melt under various debris thickness using Energy Balance(EB)model and conductive heat flux methods,which are compared with in-situ observations.Four stakes are installed on the glacier at different debris thickness of 11−40 cm.Meteorological data from March 2016 to May 2018 are obtained from the Automatic Weather Station(AWS)installed on the glacier surface at an elevation of 3,881 m a.s.l.for the energy balance calculation.Debris surface temperature and different debris depths are also measured on the glacier.The calculated ablation rates from the conductive heat flux method are 0.9,1.62 and 0.41 cm/d on pre-monsoon,monsoon and post-monsoon,respectively,with mean debris thermal conductivity 1.04 W/(m∙K).The net radiation shows little variation between the seasons,while turbulent heat flux varies in the season.Sensible heat flux was found to be highest in post-monsoon season due to a larger temperature gradient between surface and air.
基金supported by the International Partnership Program of Chinese Academy of Sciences (131C11KYSB20160061)the Strategic Priority Research Program of Chinese Academy of Sciences (XDA20100309)
文摘In the Third Pole (TP) region, there are about 100,000 km2of glaciers [1], distributed mainly in the Tibetan Plateau and its surroundings. Glacier melt-water from these glaciers not only feeds rivers, such as the Indus, Brahmaputra, Ganges, Yellow and Yangtze, which finally reach the seas, but also feeds the rivers, such as the Tarim River, Heihe River and a lot of other rivers, which finally reach the arid areas or deserts. The Asian Water Tower [2]is, therefore, proposed to characterize the significance of the glaciers and glacier melt water at all the river heads in the TP, which is important water resource both for regulating seasonal water demands in the arid areas or deserts and for sea level rising. In addition, they also change the water cycle at a large scale [3].
基金the National Natural Science foundation of China(Grant Nos.41690145 and 41670158)
文摘Hydrologiska Byrans Vattenbalansavdeling(HBV) Light model was used to evaluate the performance of the model in response to climate change in the snowy and glaciated catchment area of Hunza River Basin. The study aimed to understand the temporal variation of streamflow of Hunza River and its contribution to Indus River System(IRS). HBV model performed fairly well both during calibration(R2=0.87, Reff=0.85, PBIAS=-0.36) and validation(R2=0.86, Reff=0.83, PBIAS=-13.58) periods on daily time scale in the Hunza River Basin. Model performed better on monthly time scale with slightly underestimated low flows period during bothcalibration(R2=0.94, Reff=0.88, PBIAS=0.47) and validation(R2=0.92, Reff=0.85, PBIAS=15.83) periods. Simulated streamflow analysis from 1995-2010 unveiled that the average percentage contribution of snow, rain and glacier melt to the streamflow of Hunza River is about 16.5%, 19.4% and 64% respectively. In addition, the HBV-Light model performance was also evaluated for prediction of future streamflow in the Hunza River using future projected data of three General Circulation Model(GCMs) i.e. BCC-CSM1.1, CanESM2, and MIROCESM under RCP2.6, 4.5 and 8.5 and predictions were made over three time periods, 2010-2039, 2040-2069 and 2070-2099, using 1980-2010 as the control period. Overall projected climate results reveal that temperature and precipitation are the most sensitiveparameters to the streamflow of Hunza River. MIROC-ESM predicted the highest increase in the future streamflow of the Hunza River due to increase in temperature and precipitation under RCP4.5 and 8.5 scenarios from 2010-2099 while predicted slight increase in the streamflow under RCP2.6 during the start and end of the 21 th century. However, BCCCSM1.1 predicted decrease in the streamflow under RCP8.5 due to decrease in temperature and precipitation from 2010-2099. However, Can ESM2 predicted 22%-88% increase in the streamflow under RCP4.5 from 2010-2099. The results of this study could be useful for decision making and effective fut
