Effects of climate change on thermal properties of lakes and reservoirs, and possible implications
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- Sahoo, G.B., Schladow, S.G., Reuter, J.E. et al. Stoch Environ Res Risk Assess (2011) 25: 445. doi:10.1007/s00477-010-0414-z
Meteorologic-driven processes exert large and diverse impacts on lakes’ internal heating, cooling, and mixing. Thus, continued global warming and climate change will affect lakes’ thermal properties, dynamics, and ecosystem. The impact of climate change on Lake Tahoe (in the states of California and Nevada in the United States) is investigated here, as a case study of climate change effects on the physical processes occurring within a lake. In the Tahoe basin, air temperature data show upward trends and streamflow trends indicate earlier snowmelt. Precipitation in the basin is shifting from snow to rain, and the frequency of intense rainfall events is increasing. In-lake water temperature records of the past 38 years (1970–2007) show that Lake Tahoe is warming at an average rate of 0.013°C/year. The future trends of weather variables, such as air temperature, precipitation, longwave radiation, downward shortwave radiation, and wind speed are estimated from predictions of three General Circulation Models (GCMs) for the period 2001–2100. Future trends of weather variables of each GCM are found to be different to those of the other GCMs. A series of simulation years into the future (2000–2040) is established using streamflows and associated loadings, and meteorologic data sets for the period 1994–2004. Future simulation years and trends of weather variables are selected so that: (1) future simulated warming trend would be consistent with the observed warming trend (0.013°C/year); and (2) future mixing pattern frequency would closely match with the historical mixing pattern frequency. Results of 40-year simulations show that the lake continues to become warmer and more stable, and mixing is reduced. Continued warming in the Tahoe has important implications for efforts towards managing biodiversity and maintaining clarity of the lake.
KeywordsClimate change General circulation model Lake clarity model Lake mixing dynamics Water quality
Meteorology is the driving force for lake internal heating, cooling, mixing, and circulation, which, in turn, affect nutrient cycling, food-web characteristics, fish-habitat, aquatic ecosystem, and other important features of lake/reservoir limnology. Therefore, climate changes will affect the physical, chemical, and biological attributes of lakes and reservoirs (McCormick 1990; O’Reilly et al. 2003; Austin and Colman 2007, 2008) because of changes that include: (1) the thermodynamic balance across the air–water interface; (2) the amount of wind-driven energy input to the system; and (3) the timing of stream delivery into lake/reservoir. These processes can exert changes across the entire water column depth. The existing problems, such as water quality and quantity, may be exacerbated due to continued climate change.
Lake Tahoe, in the states of California and Nevada in the United States, is an ultra-oligotrophic and sub-alpine lake, and is renowned for its deep blue color and clarity. However, due to progressive loss of clarity, at the rate of 0.22 m/year (Tahoe Environmental Research Center (TERC) 2008), the lake has been the focus of major efforts by local, state, and federal agencies and policy-makers to halt the trend in clarity and trophic status. Moreover, records of the past 38 years (1970–2007) show that Lake Tahoe has become both warmer and more stable (Coats et al. 2006; Coats 2008). Air temperature and precipitation, and their hydrologic linkages (e.g. changes in streamflows, snowmelt timing) are most commonly examined to investigate the impact of climate change on water resources (e.g. Cayan et al. 2008; Siliverstovs et al. 2009; Zhang et al. 2009). To relate lake warming trend with climate change, shifts in trends of air temperature, snowfall percent to total precipitations, and snow melt timing in the basin are examined.
Climate change is a long-term (decades to millennium) shift in the statistics of the weather. Climate change is a normal part of the earth’s natural variability, which is related to interactions among the atmosphere, ocean, and land, as well as changes in the amount of solar radiation reaching the earth. Global warming, the rise in global atmospheric temperature due to an increasing heat-trapping gas emissions (e.g. CO2 emission from vehicles, industry, power plants, and deforestation) in the atmosphere, is the primary cause of climate change. The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC 2007) indicates that: (1) there is high agreement and much evidence that, with current climate change mitigation policies and related sustainable development practices, global green house gas (GHG) emissions will continue to grow over the next few decades; and (2) continued GHG emissions at or above current rates would cause further warming and induce many changes in the global climate system during the twenty-first century. Therefore, the objectives of this study are: (1) to assess the future trends of climatic variables (e.g. air temperature, precipitation, wind speed, longwave radiation, and solar radiation) using predictions of three General Circulation Models; (2) to estimate the thermal properties and maximum mixing depth of Lake Tahoe using the hydrodynamics modules of Lake Clarity Model (developed by researchers at UC Davis); and (3) to discuss future possible implications on water quality due to changes in thermal properties in the lake.
2 Facts about Lake Tahoe
Over 90% of precipitation in the lake watershed occurs as snow at the higher elevations; at lake level, both rain and snow fall in significant amounts (Perez-Losada 2001). The greatest transport of sediment and some associated nutrients occurs during high flows caused by storms and snowmelt (Hatch et al. 2001). The high residence time allows for internal nutrient and sediment cycling.
3.1 Lake clarity model
The LCM requires daily meteorologic data, such as solar shortwave radiation (kJ/m2/day), incoming longwave radiation (kJ/m2/day) or a surrogate, such as fraction of cloud cover and air temperature (°C), vapor pressure (mbar) or relative humidity (%), wind speed (m/s at 10 m above the water surface), and precipitation (mm, 24-h total). Hourly data from 1994 to 2004 were collected at Tahoe City meteorologic station (SNOTEL gage maintained by the United States Natural Resources Conservation Services: 39.172°N latitude and 120.138°W longitude). The hourly recorded data are then further averaged or integrated as necessary to obtain daily values.
3.2 Future 41-year scenario
To run the lake clarity model, a series of simulation years into the future (41-year period i.e. 2000–2040) is established. This time period is selected for example purposes only to examine the effect of global warming and climate change on Lake Tahoe. Since a principal driving force for watershed loading and lake clarity is annual precipitation (Jassby et al. 2003), the annual total precipitation for the period 1968–2005 is analyzed to establish a realistic scenario for future years (the Lake Clarity Model requires precipitation values for those years to be simulated).
Flow from ten streams (Upper Truckee River, Ward Creek, Trout Creek, Third Creek, Logan House Creek, Incline Creek, Glenbrook Creek, General Creek, Edgewood Creek, and Blackwood Creek) are regularly monitored as part of the Lake Tahoe Interagency Monitoring Program (LTIMP); these 10 tributaries (Fig. 5) account for up to 40% of the total annual stream discharge into the lake. Although LTIMP became operational in Water Year 1980 (Leonard and Goldman 1981), for many years depth-integrated temperature and water quality data are only available on an event basis with sampling frequency on the order of 25–30 times per year (Rowe et al. 2002). In collaboration with USGS, LTIMP Stream Monitoring Program has been producing streamflow and nutrient and suspended sediment concentrations data for tributaries to Lake Tahoe since 1988. These field samples are analyzed for nitrogen, phosphorus, and suspended sediment, and annual loads are calculated based on the continuous flow hydrographs recorded at each site (Rowe et al. 2002). The loading simulation program in C++ (LSPC) watershed model (Tetra Tech Inc. 2007) is calibrated and validated based on the available 11 years (1994–2004) of LTIMP complete field data.
3.3 Future trends of climatic variables
In lakes and reservoirs, the longwave radiation exchanges, sensible heat transfer, and the evaporative heat losses affect only the surface layer temperature (Fischer et al. 1979; Martin and McCutcheon 1999). Only the visible part of the solar spectrum (0.36 to 0.76 μm) effectively penetrates below the surface layer and supplies heat into the deeper part of the lake. Wind produces shear near the water surface and initiates motion in water. Mixing (i.e. deepening of epilimnion) takes place because of water movement. Precipitation on the lake changes temperature and lake volume of the surface layer. Therefore, trends of GCM-predicted weather variables, such as downward shortwave radiation, longwave radiations, air temperature, wind speed, and precipitation, are calculated.
The trends of the twenty-first century weather variables for the modeling grid that includes Lake Tahoe are estimated using predictions of three GCMs: (1) Model for Interdisciplinary Research on Climate V. 3.2 High Resolution (MIROC-HIRES), Japan; (2) the National Center for Atmospheric Research, Community Climate Model (NCAR CCM V. 3.0); and (3) the National Oceanic and Atmospheric Administration (NOAA) Geophysical Fluid Dynamics Laboratory V CM2.1 (NOAA GFDL CM2.1). The modeling latitude and longitude resolutions of the MIROC-HIRES, NCAR CCM V3.0, and NOAA GFDL CM2.1 models are 160 × 320 (i.e. 1.125° × 1.125°), 128 × 256 (i.e. 1.14° × 1.14°), and 90 × 144 (i.e. 2.0° × 2.5°), respectively. The National Institute of Environmental Studies (NIES), Japan report that they have not carried out the A2 IPCC special report on emission scenario (SRES) experiment for the MIROC-HIRES Model (personal communication with Manabu ABE, NIES, Japan during September–October, 2008). On our request, NIES, Japan provided daily weather variables for B1 SRES experiment data. For the other two GCM models, we download data for A2 SRES experiments from the respective data portal sites (http://nomads.gfdl.noaa.gov/CM2.X/, http://www.earthsystemgrid.org/).
4 Results and discussion
4.1 Future trend of climatic variables
Name of GCM
IPCC SRES experiment
Table 1 and Figs. 9, 10, 11 suggest that each GCM considered in this study produces different slopes of trend lines. This implies that the future trend for the 40-year simulation run should be within these ranges; however, trend values should be selected so that future simulated lake warming trend would be consistent with the historic warming trend. We use observed meteorologic data for years 2000–2004. Values of progressive net change in weather are added to the 2005–2040 year data for future modeling simulation runs. Each year, a fixed value is added to weather variables. For example, the change in air temperature (ΔT) in a year is (1.6/35) × (Year − 2005). The net change selected in this study for air temperature, longwave radiation, wind speed, and precipitation during 2005–2040 are +1.6°C, +7%, –5%, and –30 mm, respectively. The positive and negative signs indicate increasing and decreasing trend, respectively. These values are selected for example purpose so that: (1) the volume-weighted average temperature will closely match with the historical observed volume-weighted average temperature (i.e. 0.013°C/year); and (2) the net change in weather will be well within the GCM-predicted range. One could arrange a number of combinations for the net change in weather variables. Because future changing rate is uncertain, we select, for example purpose, one combination that would produce historical lake warming trend. The main reason for such a selection is to answer the question—what will happen to the lake’s thermal properties with continued climate change at historical lake warming rate? Our future study will estimate the trends of downscaled 12 × 12 km weather variables and will use downscaled GCM predictions in the simulation.
4.2 Lake warming and stability change
The lake warming and mixing pattern will change when the assumptions for the rate and magnitude of meteorologic variables (e.g. air temperature, longwave radiation, wind speed) change. It should be noted that the results presented herein are valid only for the assumptions made. Thus, one should not take the present findings as predictions and/or estimations; rather, one should take a message that lake dynamics and thermal properties will change with continued climate change. The presented results are only preliminary, and further detailed research is required to ascertain these findings.
4.3 Possible effects on lake due to warming trend
The trends in the observed data during 1970–2007 and in the LCM estimation for the period 2005–2040 show that Lake Tahoe is warming at the rate of 0.013°C/year. With continued climate change, the lake might be permanently stratified and mixing would reduce. The significant possible effects on the lake will most likely be associated with the warming, increased thermal stability, and reduced mixing.
First, the dissolved oxygen holding capacity of the water decreases as temperature increases. Therefore, with increasing surface temperature, the solubility of gaseous oxygen at the air–water interface decreases. Deep mixing occurs during winter once in approximately 3 years (TERC 2008). Thus, highly concentrated DO is transported from the epilimnion layer to the hypolimnion layer during deep mixing. Reduced mixing will shut down transport of dissolved oxygen from surface to the hypolimnion layer of the lake. Aquatic organisms, decay processes of dead algae and bacteria, and other pollutants (such as ammonia, nitrite, and particulate organic nitrogen) in water consume DO. Reduced mixing, increasing water temperature, and continuous consumption of DO would strip DO level to the minimum in the hypolimnion over time. This might result in hypoxia at the sediment surface in deep water, triggering solubilization of accumulated phosphorus and heavy metal in the sediments.
Second, the kinematics of many important elements in lake ecosystems, such as phosphorous, nitrogen, sulfur, silica, and iron, are dominated by microbial activity, which is controlled primarily by DO concentration (redox potential), temperature, pH, and various concentrations of these elements. In general, increasing temperature accelerates reaction rates. Decreased redox potential caused by low DO availability affects many equilibrium reactions. Phosphorous (P) cycle is sensitive to DO, particularly the near-bottom concentration. Even a short, extreme anoxic period near the bottom can induce P mobilization from the sediment to the water body, and change the lake permanently to eutrophic. With increasing temperature, the solubility of gases decreases and processes, such as denitrification and nitrogen fixation, are accelerated. Such changes will lead to many water quality problems in lakes.
Third, evaporation from the lake surface increases for increasing surface temperature. However, due to reduced wind speed, the evaporative losses may be lower. Estimation of the total evaporative loss due to rising temperature and reduced wind speed requires more detailed studies.
Fourth, reduced snowfall as percentage of precipitation and early snowmelt peak runoff indicate a longer summer period. In such a case, current lake gate operation (i.e. outflow) may need to be changed for necessary releases to downstream users of the Truckee River and for the maintenance of required lake water surface level.
Finally, fine (<20 μm) inorganic sediment has been shown to play an important role in reducing the clarity of the lake (Swift et al. 2006; Sahoo et al. 2007b). This impact is greatest in years following heavy stream runoff, and is prolonged by an absence of deep-water mixing events (Jassby et al. 1999). Following mixing, the fine particles suspended at the upper layer are dispersed throughout the water column. As a result, fine particles at the epilimnion are pushed down to the bottom, and clarity is increased. Because settling velocity of fine particles is very low, they remain suspended in the upper layer of the water column for a prolonged period, unless they coagulate to form bigger particles and settle faster. In the absence of full or deep mixing, the reduced lake clarity may be prolonged following a heavy runoff that carries huge amounts of fine sediments to the lake. The above hypotheses will be examined in a future study.
5 Conclusions and future directions
This study investigated the impact of climate change on Lake Tahoe. Trends in maximum and minimum daily air temperatures were calculated for the Tahoe City meteorologic station. Precipitation data at Tahoe City were analyzed for trends in form (rain versus snow) and intensity of rainfall. Daily streamflow data for gaging stations in the Tahoe basin were examined for trends in snowmelt timing. The results for the Tahoe basin indicate strong upward trends in air temperature, a shift from rain to snow, a shift in snowmelt timing to earlier dates, increased rainfall intensity, increased interannual variability in rainfall intensity, and continued increase in the temperature of Lake Tahoe. Trends in 38 years of records (1970–2007) suggest that Lake Tahoe is warming at an average rate of 0.013°C/year, and, as a result, its thermal stability and resistance to mixing are increasing.
Predictions from three GCMs (GFDL CM2.1, MIROC-HIRES, and NCAR CCM V3.0) indicate that the average air temperature at Lake Tahoe would increase by approximately 1.6 and 5°C at the end of 2040 and 2099, respectively. The GCMs also indicate that net longwave radiation will increase by approximately 1–10%, and wind speed will decrease by approximately 0.5–10%. The GCMs’ prediction trends show no significant change in downward shortwave radiation. Although, GFDL CM2.1 model shows negative trend for precipitation, trends of observed data at the Tahoe City meteorologic station and predictions of MIROC-HIRES and NCAR CCM V3.0 models show an upward trend. The combination of increased air temperature and longwave radiation and reduced wind speed resulted in Lake Tahoe warming at the rate approximately 0.013°C/year. Lake warming is associated with the increased thermal stability at the rate approximately 0.3 kJ/m2/year. Rising air temperatures account for only part of the lake’s recent warming. Other climate variables, such as the change in longwave radiation and wind speed, are also causes of lake warming. Increasing lake stability resulted in resistance to deep mixing. It was shown that at the current rate of climate change specified in this study, Lake Tahoe will stop deep mixing after 2019. However, this change depends on future rate and magnitude of climate change. Reduced mixing and lake warming may have significant adverse impacts on lake ecosystems and aggravate the existing problems.
It must be noted that the results shown here are not predictions and/or estimations; rather, they are possible future scenarios. Future lake warming rate depends on the rate and magnitude of climate change as well as the success of on-going efforts to reduce the anthropogenic flux of nutrients to the lake. The present results and findings will most likely change when the rate and magnitude of the meteorologic variables change from the assumptions made in this study. Since climate change is inevitable, current lake management strategies should be integrated with new approaches and methodologies that can handle issues on water quality problems due to climate change. Research and development on lakes should focus on methodologies and approaches that can handle extreme uncertainties as well.
We wish to acknowledge the efforts of the many faculty, staff, and students who have worked at Lake Tahoe in acquiring and maintaining the long-term data base that could be used to ground truth modeling results. We acknowledge National Institute of Environmental Studies (NIES), Japan, the National Center for Atmospheric Research, and National Oceanic and Atmospheric Administration (NOAA) for allowing us to use their GCMs’ prediction data.
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