@article{deng_zhu_sun_guo_2016, title={Assessing the impact of climate variability on runoff using a new linear runoff generation model}, volume={61}, number={6}, journal={Hydrological Sciences Journal-Journal Des Sciences Hydrologiques}, author={Deng, P. and Zhu, J. T. and Sun, S. L. and Guo, Y.}, year={2016}, pages={1040–1053} }
 @article{sun_sun_cohen_mcnulty_caldwell_duan_zhang_2016, title={Projecting water yield and ecosystem productivity across the United States by linking an ecohydrological model to WRF dynamically downscaled climate data}, volume={20}, number={2}, journal={Hydrology and Earth System Sciences}, author={Sun, S. L. and Sun, G. and Cohen, E. and McNulty, S. G. and Caldwell, P. V. and Duan, K. and Zhang, Y.}, year={2016}, pages={935–952} }
 @article{sun_sun_caldwell_mcnulty_cohen_xiao_zhang_2015, title={Drought impacts on ecosystem functions of the US National Forests and Grasslands: Part I evaluation of a water and carbon balance model}, volume={353}, ISSN={["1872-7042"]}, DOI={10.1016/j.foreco.2015.03.054}, abstractNote={Understanding and quantitatively evaluating the regional impacts of climate change and variability (e.g., droughts) on forest ecosystem functions (i.e., water yield, evapotranspiration, and productivity) and services (e.g., fresh water supply and carbon sequestration) is of great importance for developing climate change adaptation strategies for National Forests and Grasslands (NFs) in the United States. However, few reliable continental-scale modeling tools are available to account for both water and carbon dynamics. The objective of this study was to test a monthly water and carbon balance model, the Water Supply Stress Index (WaSSI) model, for potential application in addressing the influences of drought on NFs ecosystem services across the conterminous United States (CONUS). The performance of the WaSSI model was comprehensively assessed with measured streamflow (Q) at 72 U.S. Geological Survey (USGS) gauging stations, and satellite-based estimates of watershed evapotranspiration (ET) and gross primary productivity (GPP) for 170 National Forest and Grassland (NFs). Across the 72 USGS watersheds, the WaSSI model generally captured the spatial variability of multi-year mean annual and monthly Q and annual ET as evaluated by Correlation Coefficient (R = 0.71–1.0), Nash–Sutcliffe Efficiency (NS = 0.31–1.00), and normalized Root Mean Squared Error (0.06–0.48). The modeled ET and GPP by WaSSI agreed well with the remote sensing-based estimates for multi-year annual and monthly means for all the NFs. However, there were systemic discrepancies in GPP between our simulations and the satellite-based estimates on a yearly and monthly scale, suggesting uncertainties in GPP estimates in all methods (i.e., remote sensing and modeling). Overall, our assessments suggested that the WaSSI model had the capability to reconstruct the long-term forest watershed water and carbon balances at a broad scale. This model evaluation study provides a foundation for model applications in understanding the impacts of climate change and variability (e.g., droughts) on NFs ecosystem service functions.}, journal={FOREST ECOLOGY AND MANAGEMENT}, author={Sun, Shanlei and Sun, Ge and Caldwell, Peter and McNulty, Steven G. and Cohen, Erika and Xiao, Jingfeng and Zhang, Yang}, year={2015}, month={Oct}, pages={260–268} }
 @article{sun_sun_caldwell_mcnulty_cohen_xiao_zhang_2015, title={Drought impacts on ecosystem functions of the US National Forests and Grasslands: Part II assessment results and management implications}, volume={353}, ISSN={["1872-7042"]}, DOI={10.1016/j.foreco.2015.04.002}, abstractNote={The 781,000 km2 (193 million acre) United States National Forests and Grasslands system (NF) provides important ecosystem services such as clean water supply, timber production, wildlife habitat, and recreation opportunities to the American public. Quantifying the historical impacts of climate change and drought on ecosystem functions at the national scale is essential to develop sound forest management and watershed restoration plans under a changing climate. This study applied the previously validated Water Supply and Stress Index model (WaSSI) to 170 NFs in the conterminous U.S. (CONUS) to examine how historical extreme droughts have affected forest water yield (Q) and gross primary productivity (GPP). For each NF, we focused on the five years with the lowest annual SPI3 (Standardized Precipitation Index on a 3-month time scale) during 1962–2012. The extent of extreme droughts as measured by the number of NFs and total area affected by droughts has increased during the last decade. Across all lands in CONUS, the most extreme drought during the past decade occurred in 2002, resulting in a mean reduction of Q by 32% and GPP by 20%. For the 170 individual NFs, on average, the top-five droughts represented a reduction in precipitation by 145 mm yr−1 (or 22%), causing reductions in evapotranspiration by 29 mm yr−1 (or 8%), Q by 110 mm yr−1 (or 37%) and GPP by 65 gC m−2 yr−1 (or 9%). The responses of the forest hydrology and productivity to the top-five droughts varied spatially due to different land-surface characteristics (e.g., climatology and vegetation) and drought severity at each NF. This study provides a comprehensive benchmark assessment of likely drought impacts on the hydrology and productivity in NFs using consistent methods and datasets across the conterminous U.S. The study results are useful to the forestry decision makers for developing appropriate strategies to restore and protect ecosystem services in anticipating potential future droughts and climate change.}, journal={FOREST ECOLOGY AND MANAGEMENT}, author={Sun, Shanlei and Sun, Ge and Caldwell, Peter and McNulty, Steve and Cohen, Erika and Xiao, Jingfeng and Zhang, Yang}, year={2015}, month={Oct}, pages={269–279} }
 @article{sun_chen_ju_yu_hua_yin_2014, title={On the attribution of the changing hydrological cycle in Poyang Lake Basin, China}, volume={514}, journal={Journal of Hydrology}, author={Sun, S. L. and Chen, H. S. and Ju, W. M. and Yu, M. and Hua, W. J. and Yin, Y.}, year={2014}, pages={214–225} }