Abstract
Air pollution from greenhouse gases and atmospheric aerosols are the major driving force of climate change that directly alters the terrestrial hydrological cycle and ecosystem functions. However, most current Global Climate Models (GCMs) use prescribed chemical concentrations of limited species; they do not explicitly simulate the time-varying concentrations of trace gases and aerosols and their impacts on climate change. This study investigates the individual and combined impacts of climate change and air pollution on water availability and ecosystem productivity over the conterminous US (CONUS). An ecohydrological model is driven by multiple regional climate scenarios with and without taking into account the impacts of air pollutants on the climate system. The results indicate that regional chemistry-climate feedbacks may largely offset the future warming and wetting trends predicted by GCMs without considering air pollution at the CONUS scale. Consequently, the interactions of air pollution and climate change are expected to significantly reduce water availability by the middle of twenty-first century. On the other hand, the combined impact of climate change and air pollution on ecosystem productivity is less pronounced, but there may still be notable declines in eastern and central regions. The results suggest that air pollution could aggravate regional climate change impacts on water shortage. We conclude that air pollution plays an important role in affecting climate and thus ecohydrological processes. Overlooking the impact of air pollution may cause evident overestimation of future water availability and ecosystem productivity.
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References
Ahlström A, Schurgers G, Arneth A, Smith B (2012) Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections. Environ Res Lett 7:044008
Burnash R (1995) The NWS river forecast system-catchment modeling. Computer models of watershed hydrology. Water Resources Publications, Littleton, Colorado
Bytnerowicz A, Omasa K, Paoletti E (2007) Integrated effects of air pollution and climate change on forests: a northern hemisphere perspective. Environ Pollut 147:438–445
Caldwell P, Sun G, McNulty S, Cohen E, Moore Myers J (2012) Impacts of impervious cover, water withdrawals, and climate change on river flows in the conterminous US. Hydrol Earth Syst Sci 16:2839–2857
Cheng L, Zhang L, Wang Y-P, Yu Q, Eamus D, O’Grady A (2014) Impacts of elevated CO2, climate change and their interactions on water budgets in four different catchments in Australia. J Hydrol 519:1350–1361
Daly C et al (2008) Physiographically sensitive map** of climatological temperature and precipitation across the conterminous United States. Int J Climatol 28:2031–2064
Duan K, Mei Y (2014a) Comparison of meteorological, hydrological and agricultural drought responses to climate change and uncertainty assessment. Water Resour Manag 28:5039–5054
Duan K, Mei Y (2014b) A comparison study of three statistical downscaling methods and their model-averaging ensemble for precipitation downscaling in China. Theor Appl Climatol 116:707–719
Duan K, Mei Y, Zhang L (2016a) Copula-based bivariate flood frequency analysis in a changing climate—a case study in the Huai River basin, China. J Earth Sci 27:37–46
Duan K et al. (2016b) Divergence of ecosystem services in U.S. National Forests and Grasslands under a changing climate. Sci Rep. doi:10.1038/srep24441
Forkel R et al (2015) Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distributions. Atmos Environ:630–645
Gantt B, He J, Zhang X, Zhang Y, Nenes A (2014) Incorporation of advanced aerosol activation treatments into CESM/CAM5: model evaluation and impacts on aerosol indirect effects. Atmos Chem Phys 14:7485–7497
Ge ZM, Kellomäki S, Zhou X, Wang KY, Peltola H, Väisänen H, Strandman H (2013) Effects of climate change on evapotranspiration and soil water availability in Norway spruce forests in southern Finland: an ecosystem model based approach. Ecohydrology 6:51–63
Gedney N, Cox P, Betts R, Boucher O, Huntingford C, Stott P (2006) Detection of a direct carbon dioxide effect in continental river runoff records. Nature 439:835–838
Gedney N, Huntingford C, Weedon G, Bellouin N, Boucher O, Cox P (2014) Detection of solar dimming and brightening effects on Northern Hemisphere river flow. Nat Geosci 7:796–800
Givati A, Rosenfeld D (2004) Quantifying precipitation suppression due to air pollution. J Appl Meteorol 43:1038–1056
Grell GA, Peckham SE, Schmitz R, McKeen SA, Frost G, Skamarock WC, Eder B (2005) Fully coupled “online” chemistry within the WRF model. Atmos Environ 39:6957–6975
Greve P, Orlowsky B, Mueller B, Sheffield J, Reichstein M, Seneviratne SI (2014) Global assessment of trends in wetting and drying over land. Nat Geosci 7:716–721
He J, Zhang Y (2014) Improvement and further development in CESM/CAM5: gas-phase chemistry and inorganic aerosol treatments. Atmos Chem Phys 14:9171–9200
He J, Zhang Y, Glotfelty T, He R, Bennartz R, Rausch J, Sartelet K (2015a) Decadal simulation and comprehensive evaluation of CESM/CAM5. 1 with advanced chemistry, aerosol microphysics, and aerosol-cloud interactions. J Adv Model Earth Syst 7:110–141
He J et al. (2015b) CESM/CAM5 improvement and application: comparison and evaluation of updated CB05_GE and MOZART-4 gas-phase mechanisms and associated impacts on global air quality and climate. Geosci Model Dev:3999–4025 doi:10.5194/gmd-8-3999-2015
Huang Y, Dickinson RE, Chameides WL (2006) Impact of aerosol indirect effect on surface temperature over East Asia. Proc Natl Acad Sci U S A 103:4371–4376
Hurrell JW et al (2013) The community earth system model: a framework for collaborative research. Bull Am Meteorol Soc 94:1339–1360
Kay A, Rudd A, Davies H, Kendon E, Jones R (2015) Use of very high resolution climate model data for hydrological modelling: baseline performance and future flood changes. Clim Chang 133:193–208
Keenan TF, Hollinger DY, Bohrer G, Dragoni D, Munger JW, Schmid HP, Richardson AD (2013) Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature 499:324–327
Khain A, BenMoshe N, Pokrovsky A (2008) Factors determining the impact of aerosols on surface precipitation from clouds: an attempt at classification. J Atmos Sci 65:1721–1748
Krinner G et al. (2005) A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system. Glob Biogeochem Cycles 19. doi:10.1029/2003GB002199
Noormets A, McNulty SG, DeForest JL, Sun G, Li Q, Chen J (2008) Drought during canopy development has lasting effect on annual carbon balance in a deciduous temperate forest. New Phytol 179:818–828
Pan S, Tian H, Dangal SR, Yang Q, Yang J, Lu C, Tao B, Ren W, Ouyang Z (2015) Responses of global terrestrial evapotranspiration to climate change and increasing atmospheric CO2 in the twenty-first century. Earth's Futur 3(1):15–35
Ramanathan V, Crutzen P, Kiehl J, Rosenfeld D (2001) Aerosols, climate, and the hydrological cycle. Science 294:2119–2124
Ramanathan V et al (2005) Atmospheric brown clouds: impacts on south Asian climate and hydrological cycle. Proc Natl Acad Sci U S A 102:5326–5333
Rosenfeld D et al (2008) Flood or drought: how do aerosols affect precipitation? Science 321:1309–1313
Rudd AC, Kay AL (2015) Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation. Hydrol Res. doi:10.2166/nh.2015.028
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Wang W, Powers JG (2005) A description of the advanced research WRF version 2. DTIC Document
Sun G, McNulty SG, Moore Myers JA, Cohen EC (2008) Impacts of multiple stresses on water demand and supply across the Southeastern United States. J Am Water Resour Assoc 44:1441–1457
Sun G et al (2011) Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model. J Geophys Res Biogeosci 2005–2012:116
Sun G, Caldwell PV, McNulty SG (2015a) Modelling the potential role of forest thinning in maintaining water supplies under a changing climate across the conterminous United States. Hydrol Process. doi:10.1002/hyp.10469
Sun S, Sun G, Caldwell P, McNulty S, Cohen E, **ao J, Zhang Y (2015b) Drought impacts on ecosystem functions of the US National Forests and grasslands: part I evaluation of a water and carbon balance model. For Ecol Manag. doi:10.1016/j.foreco.2015.03.054
Sun S, Sun G, Cohen E, McNulty SG, Caldwell PV, Duan K, Zhang Y (2016) Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data. Hydrol Earth Syst Sci 20:935–952
Tao W-K, Chen J-P, Li Z, Wang C, Zhang C (2012) Impact of aerosols on convective clouds and precipitation. Rev Geophys. doi:10.1029/2011RG000369
Taylor KE, Stouffer RJ, Meehl GA (2012) An overview of CMIP5 and the experiment design. Bull Am Meteorol Soc 93:485–498
Thompson J, Green A, Kingston D (2014) Potential evapotranspiration-related uncertainty in climate change impacts on river flow: an assessment for the Mekong River basin. J Hydrol 510:259–279
Tian H et al (2012) Century-scale responses of ecosystem carbon storage and flux to multiple environmental changes in the southern United States. Ecosystems 15:674–694
USGS, USDA (2013) Federal standards and procedures for the national watershed boundary dataset (WBD) http://www.nrcs.usda.gov/wps/portal/nrcs/main/national/water/watersheds/dataset/.
Wang G, Yu M, Pal JS, Mei R, Bonan GB, Levis S, Thornton PE (2015a) On the development of a coupled regional climate–vegetation model RCM–CLM–CN–DV and its validation in Tropical Africa. Clim Dyn:1–25
Wang K, Zhang Y, Yahya K, Wu S-Y, Grell G (2015b) Implementation and initial application of new chemistry-aerosol options in WRF/Chem for simulating secondary organic aerosols and aerosol indirect effects for regional air quality. Atmos Environ:716–732
Werner A, Cannon A (2015) Hydrologic extremes–an intercomparison of multiple gridded statistical downscaling methods. Hydrol Earth Syst Sci Discuss 12:6179–6239
Wood AW, Maurer EP, Kumar A, Lettenmaier DP (2002) Long-range experimental hydrologic forecasting for the eastern United States. J Geophys Res Atmos 107:4429
Wood AW, Leung LR, Sridhar V, Lettenmaier D (2004) Hydrologic implications of dynamical and statistical approaches to downscaling climate model outputs. Clim Chang 62:189–216
Yahya K, Wang K, Campbell P, Glotfelty T, He J, Zhang Y (2016) Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6. 1. Geosci Model Dev 9:671–695
Zhang Y (2008) Online-coupled meteorology and chemistry models: history, current status, and outlook. Atmos Chem Phys 8:2895–2932
Zhang Y, Wen X-Y, Jang C (2010) Simulating chemistry–aerosol–cloud–radiation–climate feedbacks over the continental US using the online-coupled weather research forecasting model with chemistry (WRF/Chem). Atmos Environ 44:3568–3582
Zhang Y, Chen Y, Sarwar G, Schere K (2012a) Impact of gas-phase mechanisms on weather research forecasting model with chemistry (WRF/Chem) predictions: mechanism implementation and comparative evaluation. J Geophys Res Atmos 117. doi:10.1029/2011JD015775
Zhang Y et al (2012b) Development and initial application of the global-through-urban weather research and forecasting model with chemistry (GU-WRF/Chem). J Geophys Res Atmos 117. doi:10.1029/2012JD017966
Zhang Y, Chen Y, Fan J, Leung L-YR (2015a) Application of an online-coupled regional climate model, WRF-CAM5, over East Asia for examination of ice nucleation schemes: part II. Sensitivity to heterogeneous ice nucleation parameterizations and dust emissions. Climate 3:753–774
Zhang Y, Zhang X, Wang K, He J, Leung LR, Fan J, Nenes A (2015b) Incorporating an advanced aerosol activation parameterization into WRF-CAM5: model evaluation and parameterization intercomparison. J Geophys Res Atmos 120:6952–6979
Acknowledgments
This work was supported by the National Science Foundation EaSM program (AGS-1049200) awarded to North Carolina State University, and the Eastern Forest Environmental Threat Assessment Center (EFETAC), USDA Forest Service. The emissions for chemical species that are not available from the RCP emissions in WRF/Chem simulations are taken from the 2008 NEI-derived emissions for 2006 and 2010 provided by the U.S. EPA, Environment Canada, and Mexican Secretariat of the Environment and Natural Resources (Secretaría de Medio Ambiente y Recursos Naturales-SEMARNAT) and National Institute of Ecology (Instituto Nacional de Ecología-INE) as part of the Air Quality Model Evaluation International Initiative (AQMEII). The authors acknowledge use of the WRF-Chem preprocessor tool mozbc provided by the Atmospheric Chemistry Observations and Modeling Lab (ACOM) of NCAR and the script to generate initial and boundary conditions for WRF based on CESM results provided by Ruby Leung, PNNL. The authors acknowledge high-performance computing support for CESM, WRF, and WRF/Chem simulations from Yellowstone (ark:/85065/d7wd3xhc) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation and Information Systems Laboratory. Some development work, testing, and initial applications of WRF/Chem were performed on the Stampede Extreme Science and Engineering Discovery Environment (XSEDE) high-performance computing system, which is supported by the National Science Foundation grant number ACI-1053575.
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Duan, K., Sun, G., Zhang, Y. et al. Impact of air pollution induced climate change on water availability and ecosystem productivity in the conterminous United States. Climatic Change 140, 259–272 (2017). https://doi.org/10.1007/s10584-016-1850-7
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DOI: https://doi.org/10.1007/s10584-016-1850-7