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Title:   Author  item
                                            YU, XUAN - Pennsylvania State Universityitem
                                            DUFFY, CHRISTOPHER - Pennsylvania State Universityitem
                                            KAYE, JASON - Pennsylvania State Universityitem
                                            Crow, Wadeitem
                                            BHATT, GOPAL - Pennsylvania State Universityitem
                                            SHI, YUNING - Pennsylvania State University
  Submitted to: American Geophysical Union
                                    Publication Type: Book / Chapter
                                    Publication Acceptance Date: 9/15/2013
                                    Publication  Date: 10/31/2014
                                    Citation: Yu, X., Duffy, C., Kaye, J. , Crow, W.T., Bhatt, G., Shi, Y. 2013. Reanalysis of water and carbon cycle models at a Critical Zone Observatory. In: Lakshmi, V., Alsdorf, D., Anderson, M., Biancamaria, S., Cosh, M. H., Entin, J., Huffman, G., Kustas, W., van Oevelen, P., Painter, T., Parajka, J., Rodell, M., Rudiger, C. Remote Sensing of the Terrestrial Water Cycle. Hoboken, NJ: John Wiley & Sons, Inc. p.493-510.Interpretive Summary:
                                Technical Abstract: The Susquehanna Shale Hills Critical Zone Observatory (SSHCZO) is a forested, hill-slope catchment located in the temperate-climate of central Pennsylvania with an extensive network of ground-based instrumentation for model testing and development.  In this paper we discuss the use of multi-state field observations along with forcing from the North American Land Data Assimilation System (NLDAS-2) at a Critical Zone Observatory to constrain independent hydrological and biogeochemical models at the site.  Eco-hydrologic reanalysis (1979-2011) of the watershed is performed using PIHM (a physics-based hydrologic model) and Biome-BGC (a process-based ecosystem process model) models.  The assessments of multiple data sources and NLDAS forcing data are used to support calibration and validation of hydrologic biogeochemical modeling and to provide insight into future improvements in the coupled simulation of carbon dynamics with the terrestrial water cycle.  Evaluation of the re-analysis shows that changes in the hydrologic regime have a profound influence on biogeochemical processes and considerable impact on the spatial redistribution of nutrients and ecological function with the watershed – therefore altering many of the important biogeochemical linkages between atmosphere and land.


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