Defining hydroclimatic regions using daily rainfall characteristics in the southern Appalachian Mountains

References

• Arguez, Anthony, Imke Durre, Scott Applequist, Mike Squires, Russell Vose, Xungang Yin, and Rocky Bilotta. 2010. “NOAA’s U.S. Climate Normals (1981-2010).” NOAA National Centers for Environmental Information. doi:10.7289/V5PN93JP.
   Google Scholar
• Barros, Ana P., and Dennis P. Lettenmaier. 1993. “Dynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas.” Monthly Weather Review. doi:10.1175/1520-0493(1993)121<1195:DMOTSD>2.0.CO;2.
   Web of Science ®Google Scholar
• Barry, Roger G. 2008. Mountain Weather and Climate. 3rd ed. Cambridge: Cambridge University Press.
   Google Scholar
• Basist, Alan, Gerald D. Bell, and Vernon Meentemeyer. 1994. “Statistical Relationships Between Topography and Precipitation Patterns.” Journal of Climate 7: 1305–1315. doi:10.1175/1520-0442(1994)007<1305:SRBTAP>2.0.CO;2.
   Web of Science ®Google Scholar
• Brock, Guy, Vasyl Pihur, Susmita Datta, and Somnath Datta. 2008. “ClValid, an R Package for Cluster Validation.” Journal of Statistical Software 25 (4). http://cran.us.r-project.org/web/packages/clValid/vignettes/clValid.pdf VN-readcube.com. doi: 10.18637/jss.v025.i04
   Web of Science ®Google Scholar
• Butler, Declan. 2006. “The Web-wide World.” Nature 439 (16): 776–778. doi: 10.1038/439776a
   PubMed Web of Science ®Google Scholar
• Carvalho, M. J., P. Melo-Gonçalves, J. C. Teixeira, and A. Rocha. 2016. “Regionalization of Europe Based on a K-Means Cluster Analysis of the Climate Change of Temperatures and Precipitation.” Physics and Chemistry of the Earth 94: 22–28. doi:10.1016/j.pce.2016.05.001.
   Web of Science ®Google Scholar
• Chen, Cheng T., and Thomas Knutson. 2008. “On the Verification and Comparison of Extreme Rainfall Indices from Climate Models.” Journal of Climate 21 (7): 1605–1621. doi:10.1175/2007JCLI1494.1.
   Web of Science ®Google Scholar
• Christensen, J. H., K. Krishna Kumar, E. Aldrian, S.-I. An, I. F. A. Cavalcanti, M. de Castro, W. Dong, et al. 2013. “Climate Phenomena and Their Relevance for Future Regional Climate Change.” Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. doi:10.1017/CBO9781107415324.028.
   Google Scholar
• Chubb, Thomas H., Michael J. Manton, Steven T. Siems, and Andrew D. Peace. 2016. “Evaluation of the AWAP Daily Precipitation Spatial Analysis with an Independent Gauge Network in the Snowy Mountains.” Journal of Southern Hemisphere Earth Systems Science 66: 55–67. doi: 10.22499/3.6601.006
   Web of Science ®Google Scholar
• Currier, William Ryan, Theodore Thorson, and Jessica D. Lundquist. 2017. “Independent Evaluation of Frozen Precipitation from WRF and PRISM in the Olympic Mountains.” Journal of Hydrometeorology 18 (10): 2681–2703. doi:10.1175/JHM-D-17-0026.1.
   Web of Science ®Google Scholar
• Daly, Christopher, Michael Halbleib, Joseph I. Smith, Wayne P. Gibson, Matthew K. Doggett, George H. Taylor, and Phillip P. Pasteris. 2008. “Physiographically Sensitive Mapping of Climatological Temperature and Precipitation Across the Conterminous United States.” International Journal of Climatology 28 (15): 2031–2064. doi:10.1002/joc.1688.
   Web of Science ®Google Scholar
• Dunn, J. C. 1974. “Well-separated Clusters and Optimal Fuzzy Partitions.” Journal of Cybernetics 4 (1): 95–104. doi: 10.1080/01969727408546059
   Google Scholar
• Ellenburg, W. L., R. T. McNider, J. F. Cruise, and John R. Christy. 2016. “Towards an Understanding of the Twentieth-century Cooling Trend in the Southeastern United States: Biogeophysical Impacts of Land-use Change.” Earth Interactions 20 (18). doi:10.1175/EI-D-15-0038.1.
   Google Scholar
• Elmqvist, Niklas, and Philippas Tsigas. 2008. “A Taxonomy of 3D Occlusion Management for Visualization.” IEEE Transactions on Visualization and Computer Graphics 14 (5): 1095–1109. doi: 10.1109/TVCG.2008.59
   PubMed Web of Science ®Google Scholar
• Engström, Johanna, and Peter Waylen. 2017. “The Changing Hydroclimatology of Southeastern U.S.” Journal of Hydrology 548: 16–23. doi:10.1016/j.jhydrol.2017.02.039.
   Web of Science ®Google Scholar
• Engström, Johanna, and Peter Waylen. 2018. “Drivers of Long-Term Precipitation and Runoff Variability in the Southeastern USA.” Theoretical and Applied Climatology, 1133–1146. doi:10.1007/s00704-016-2030-4.
   Web of Science ®Google Scholar
• Fovell, Robert G. 1997. “Consensus Clustering of U.S. Temperature and Precipitation Data.” Journal of Climate 10 (6): 1405–1427. doi: 10.1175/1520-0442(1997)010<1405:CCOUST>2.0.CO;2
   Web of Science ®Google Scholar
• Fovell, Robert G., and Mei-Ying C. Fovell. 1993. “Climate Zones of the Coterminous United States Defined Using Clutser Analysis.” Journal of Climate 6: 2103–2135. doi: 10.1175/1520-0442(1993)006<2103:CZOTCU>2.0.CO;2
   Web of Science ®Google Scholar
• Frame, Jeffrey, and Paul Markowski. 2006. “The Interaction of Simulated Squall Lines with Idealized Mountain Ridges.” Monthly Weather Review 134 (7): 1919–1941. doi:10.1175/MWR3157.1.
   Web of Science ®Google Scholar
• Goodchild, M. F. 2008. “The Use Cases of Digital Earth.” International Journal of Digital Earth 1 (1): 31–42. doi:10.1080/17538940701782528.
   Web of Science ®Google Scholar
• Hartigan, J. A., and M. A. Wong. 1979. “Algorithm AS 136 : A K-Means Clustering Algorithm.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 28 (1): 100–108.
   Google Scholar
• Hevesi, Joseph A., Jonathan D. Istok, and Alan L. Flint. 1992. “Precipitation Estimation in Mountainous Terrain Using Multivariate Geostatistics. Part I: Structural Analysis.” Journal of Applied Meteorology 31 (7): 661–676. doi: 10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2
   Google Scholar
• Kahya, E., and J. Dracup. 1993. “US Streamflow Patterns in Relation to the El Nino/Southern Oscillation.” Water Resources Research. http://www.akademi.itu.edu.tr/kahyae/DosyaGetir/57273/WRR94.pdf%5Cnpapers2://publication/uuid/57F00DC9-AAB0-4EEB-B5CD-C768637D0755.
   PubMed Web of Science ®Google Scholar
• Kalkstein, Laurence S., Guanri Tan, and Jon A. Skindlov. 1987. “An Evaluation of Three Clustering Procedures for Use in Synoptic Climatological Classification.” Journal of Climate and Applied Meteorology 26 (6): 717–730. doi: 10.1175/1520-0450(1987)026<0717:AEOTCP>2.0.CO;2
   Google Scholar
• Katz, Richard W., Marc B. Parlange, and Claudia Tebaldi. 2003. “Stochastic Modeling of the Effects of Large-scale Circulation on Daily Weather in the Southeastern U.S.” Climatic Change 60 (1–2): 189–216. doi:10.1023/A:1026054330406.
   Web of Science ®Google Scholar
• Kaufman, L., and P. J. Rousseeuw. 1990. Finding Groups in Data: An Introduction to Cluster Analysis. New York: John Wiley & Sons, Inc.
   Google Scholar
• Kelly, Ginger M., L. Baker Perry, Brett F. Taubman, and Peter T. Soulé. 2012. “Synoptic Classification of 2009–2010 Precipitation Events in the Southern Appalachian Mountains, USA.” Climate Research 55 (1): 1–15. doi:10.3354/cr01116.
   Web of Science ®Google Scholar
• King, Andrew D, Lisa V Alexander, and Markus G Donat. 2013. “The Efficacy of Using Gridded Data to Examine Extreme Rainfall Characteristics : A Case Study for Australia.” International Journal of Climatology 33: 2376–2387. doi:10.1002/joc.3588.
   Web of Science ®Google Scholar
• Konrad, Charles E. 1996. “Relationships Between Precipitation Event Types and Topography in the Southern Blue Ridge Mountains of the Southeastern USA.” International Journal of Climatology 16 (January): 49–62. doi:10.1002/(SICI)1097-0088(199601)16:1<49::AID-JOC993>3.0.CO;2-D.
   Google Scholar
• Konrad, Charles E. 1997. “Synoptic-scale Features Associated with Warm Season Heavy Rainfall Over the Interior Southeastern United States.” Weather and Forecasting 12 (3): 557–571. doi: 10.1175/1520-0434(1997)012<0557:SSFAWW>2.0.CO;2
   Web of Science ®Google Scholar
• Kramer, Randall A., and Jonathan I. Eisen-Hecht. 2002. “Estimating the Economic Value of Water Quality Protection in the Catawba River Basin.” Water Resources Research 38 (9): 21-1–21-10. doi:10.1029/2001WR000755.
   Web of Science ®Google Scholar
• Lin, Yuh-Lang, Sen Chiao, Ting-An Wang, Michael L. Kaplan, and Ronald P. Weglarz. 2001. “Some Common Ingredients for Heavy Orographic Rainfall.” Weather and Forecasting 16 (6): 633–661. doi: 10.1175/1520-0434(2001)016<0633:SCIFHO>2.0.CO;2
   Web of Science ®Google Scholar
• Maechler, M., P. Rousseeuw, A. Struyf, M. Hubert, and K. Hornik. 2013. “Package ‘Cluster’”.
   Google Scholar
• Manuel, John. 2008. “Drought in the Southeast: Lessons for Water Management.” Environmental Health Perspectives 116 (4): 168–171. doi: 10.1289/ehp.116-a168
   Web of Science ®Google Scholar
• Maxwell, Justin T., and Peter T. Soulé. 2009. “United States Drought of 2007: Historical Perspectives.” Climate Research 38 (2): 95–104. doi:10.3354/cr00772.
   Web of Science ®Google Scholar
• Meehl, Gerald A., Julie M. Arblaster, and Grant Branstator. 2012. “Mechanisms Contributing to the Warming Hole and the Consequent U.S. East-West Differential of Heat Extremes.” Journal of Climate 25 (18): 6394–6408. doi:10.1175/JCLI-D-11-00655.1.
   Web of Science ®Google Scholar
• Nykanen, Deborah K., and Daniel Harris. 2003. “Orographic Influences on the Multiscale Statistical Properties of Precipitation.” Journal of Geophysical Research 108 (D8), doi:10.1029/2001JD001518.
   PubMed Web of Science ®Google Scholar
• Ortegren, Jason T., Paul A. Knapp, Justin T. Maxwell, William P. Tyminski, and Peter T. Soulé. 2011. “Ocean–Atmosphere Influences on Low-frequency Warm-season Drought Variability in the Gulf Coast and Southeastern United States.” Journal of Applied Meteorology and Climatology 50 (6): 1177–1186. doi:10.1175/2010JAMC2566.1.
   Web of Science ®Google Scholar
• Pan, Zaitao, Raymond W. Arritt, Eugene S. Takle, William J. Gutowski, Christopher J. Anderson, and Moti Segal. 2004. “Altered Hydrologic Feedback in a Warming Climate Introduces a ‘Warming Hole’.” Geophysical Research Letters 31 (17): 2–5. doi:10.1029/2004GL020528.
   Web of Science ®Google Scholar
• Papalexiou, Simon Michael, Amir AghaKouchak, and Efi Foufoula-Georgiou. 2018. “A Diagnostic Framework for Understanding Climatology of Tails of Hourly Precipitation Extremes in the United States.” Water Resources Research, 6725–6738. doi:10.1029/2018WR022732.
   Web of Science ®Google Scholar
• Papalexiou, Simon Michael, and Demetris Koutsoyiannis. 2016. “A Global Survey on the Seasonal Variation of the Marginal Distribution of Daily Precipitation.” Advances in Water Resources 94: 131–145. doi:10.1016/j.advwatres.2016.05.005.
   Web of Science ®Google Scholar
• Perry, L. Baker, and Charles E. Konrad. 2006. “Relationships Between NW Flow Snowfall and Topography in the Southern Appalachians, USA.” Climate Research 32: 35–47. doi: 10.3354/cr032035
   Web of Science ®Google Scholar
• Prism Climate Group. 2015. “Prism Gridded Climate Data.” Terms of Use. http://prism.oregonstate.edu.
   Google Scholar
• Rousseeuw, Peter J. 1987. “Silhouettes: A Graphical Aid to the Interpretation and Validation of Cluster Analysis.” Journal of Computational and Applied Mathematics 20: 53–65. doi:10.1016/0377-0427(87)90125-7.
   Web of Science ®Google Scholar
• Ruhl, J. B. 2005. “Water Wars, Eastern Style: Divvying Up the Apalachicola-Chattahoochee-Flint River Basin.” Journal of Contemporary Water Research & Education 131 (May): 47–54. doi:10.1111/j.1936-704X.2005.mp131001008.x.
   Google Scholar
• SCO-NC. 2015. “Overview.” State Climate Office of North Carolina. http://www.nc-climate.ncsu.edu/climate/ncclimate.html.
   Google Scholar
• Shinker, Jacqueline J. 2010. “Visualizing Spatial Heterogeneity of Western U.S. Climate Variability.” Earth Interactions 14 (10): 1–15. doi:10.1175/2010EI323.1.
   Web of Science ®Google Scholar
• Sinclair, Mark R., David S. Wratt, Roddy D. Henderson, and Warren R. Gray. 1997. “Factors Affecting the Distribution and Spillover of Precipitation in the Southern Alps of New Zealand – A Case Study.” Journal of Applied Meteorology 36 (5): 428–442. doi: 10.1175/1520-0450(1997)036<0428:FATDAS>2.0.CO;2
   Google Scholar
• Slocum, Terry A, Connie Blok, Bin Jiang, Alexandra Koussoulakou, Daniel R Montello, Sven Fuhrmann, and Nicholas R Hedley. 2001. “Cognitive and Usability Issues in Geovisualization.” Cartography and Geographic Information Science 28: 61–76. doi: 10.1559/152304001782173998
   Google Scholar
• Stooksbury, D. E., and P. J. Michaels. 1991. “Cluster Analysis of Southeastern U.S. Climate Stations.” Theoretical and Applied Climatology 44 (3–4): 143–150. doi: 10.1007/BF00868169
   Web of Science ®Google Scholar
• Sugg, Johnathan W., and Charles E. Konrad. 2017. “Relating Warm Season Hydroclimatic Variability in the Southern Appalachians to Synoptic Weather Patterns Using Self-organizing Maps.” Climate Research 74: 145–160. doi: 10.3354/cr01493
   Web of Science ®Google Scholar
• Sun, Ge, Peter V. Caldwell, Steven G. Mcnulty, Aris P. Georgakakos, Sankar Arumugam, James Cruise, Richard T. McNider, et al. 2013. Impacts of Climate Change and Variability on Water Resources in the Southeast USA.
   Google Scholar
• Tozer, C. R., A. S. Kiem, and D. C. Verdon-Kidd. 2012. “On the Uncertainties Associated with Using Gridded Rainfall Data as a Proxy for Observed.” Hydrology and Earth System Sciences 16: 1481–1499. doi:10.5194/hess-16-1481-2012.
   Web of Science ®Google Scholar
• Wear, David, and John Greis. 2011. “The Southern Forest Resource Assessment: Summary Report. Gen. Tech. Rep. SRS-54.” 1–79.
   Google Scholar
• Wilks, Daniel S. 2011. Statistical Methods in the Atmospheric Sciences. 3rd ed. Academic Press. https://books.google.com/books?id=IJuCVtQ0ySIC&lr=&source=gbs_navlinks_s.
   Google Scholar
• Williams, Park, Benjamin Cook, Jason E. Smerdon, Daniel A. Bishop, Richard Seager, and Justin S. Mankin. 2017. “The 2016 Southeastern U.S. Drought: An Extreme Departure From Centennial Wetting and Cooling.” Journal of Geophysical Research: Atmospheres 122 (20): 10888–10905. doi:10.1002/2017JD027523.
   PubMed Web of Science ®Google Scholar
• Wilson, Anna M., and Ana P. Barros. 2014. “An Investigation of Warm Rainfall Microphysics in the Southern Appalachians: Orographic Enhancement via Low-level Seeder–Feeder Interactions.” Journal of the Atmospheric Sciences, 1783–1805. doi:10.1175/JAS-D-13-0228.1.
   Web of Science ®Google Scholar
• Wootten, Adrienne, and Ryan P. Boyles. 2014. “Comparison of NCEP Multisensor Precipitation Estimates with Independent Gauge Data Over the Eastern United States.” Journal of Applied Meteorology and Climatology 53: 2848–2862. doi:10.1175/JAMC-D-14-0034.1.
   Web of Science ®Google Scholar
• Wootten, Adrienne, Kara Smith, Ryan Boyles, Adam Terando, Lydia Stefanova, Vasu Misra, Tom Smith, David Blodgett, and Fredrick Semazzi. 2014. Downscaled Climate Projections for the Southeast United States : Evaluation and Use for Ecological Applications: U.S. Geological Survey Open-File Report 2014-1190, 54 p., doi:10.3133/ofr20141190
   Google Scholar
• Yu, Le, and Peng Gong. 2012. “Google Earth as a Virtual Globe Tool for Earth Science Applications at the Global Scale: Progress and Perspectives.” International Journal of Remote Sensing 33 (12): 3966–3986. doi:10.1080/01431161.2011.636081.
   Web of Science ®Google Scholar
• Zambreski, Zachary T., Xiaomao Lin, Robert M. Aiken, Gerard J. Kluitenberg, and Roger A. Pielke. 2018. “Identification of Hydroclimate Subregions for Seasonal Drought Monitoring in the U.S. Great Plains.” Journal of Hydrology 567 (April): 370–381. doi:10.1016/j.jhydrol.2018.10.013.
   Google Scholar
• Zhang, Jian, Kenneth Howard, Carrie Langston, Steve Vasiloff, Brian Kaney, Ami Arthur, Suzanne Van Cooten, et al. 2011. “National Mosaic and Multi-sensor QPE (NMQ) System: Description, Results, and Future Plans.” Bulletin of the American Meteorological Society 92 (10): 1321–1338. doi:10.1175/2011BAMS-D-11-00047.1.
   Web of Science ®Google Scholar
• Zhang, Ying, Semu Moges, and Paul Block. 2016. “Optimal Cluster Analysis for Objective Regionalization of Seasonal Precipitation in Regions of High Spatial–Temporal Variability: Application to Western Ethiopia.” Journal of Climate 29 (10): 3697–3717. doi:10.1175/JCLI-D-15-0582.1.
   Web of Science ®Google Scholar