Snow occurrence changes over the central and eastern United States under future. warming scenarios
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1 Snow occurrence changes over the central and eastern United States under future warming scenarios Liang Ning 1,2,3* and Raymond S. Bradley 2 1 Key Laboratory of Virtual Geographic Environment of Ministry of Education, School of Geography Science, and Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex System, School of Mathematical Science, Nanjing Normal University, Nanjing, , China 2 Northeast Climate Science Center, and Climate System Research Center, Department of Geosciences, University of Massachusetts, Amherst, 01003, United States 3 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, , China * lning@geo.umass.edu
2 Fig. S1 The locations of the ten representative stations used in this study Map was generated by NCAR Command Language (NCL).
3 RCP4.5 RCP8.5 Fig. S2 The changes of ensemble averaged daily average temperature for the RCP4.5 (left column), and RCP8.5 (right column) scenarios for the five months (Unit: C) Maps were generated by NCAR Command Language (NCL).
4 RCP4.5 RCP8.5 Fig. S3 The changes of ensemble averaged daily maximum temperature for the RCP4.5 (left column) and RCP8.5 (right column) scenarios for the five months (Unit: C) Maps were generated by NCAR Command Language (NCL).
5 RCP4.5 RCP8.5 Fig. S4 The changes of ensemble averaged daily minimum temperature for the RCP4.5 (left column) and RCP8.5 (right column) scenarios for the five months (Unit: C) Maps were generated by NCAR Command Language (NCL).
6 Historical RCP4.5 RCP8.5 Fig. S5 The distributions of ensemble averaged simulated lower limits of snow occurrences under historical ( ) (left column), RCP4.5 ( ) (middle column), and RCP8.5 ( ) (right column) emission scenarios (Unit: %) Maps were generated by NCAR Command Language (NCL).
7 Historical RCP4.5 RCP8.5 Fig. S6 The distributions of ensemble averaged simulated upper limits of snow occurrence under historical ( ) (left column), RCP4.5 ( ) (middle column), and RCP8.5 ( ) (right column) emission scenarios (Unit: %) Maps were generated by NCAR Command Language (NCL).
8 Fig. S7 The changes of ensemble averaged January snow frequency for RCP4.5 (a) and RCP8.5 (b) emission scenarios over the region surrounding Chicago (RCP scenarios relative to historical simulation) Maps were generated by NCAR Command Language (NCL).
9 Fig. S8 The inter-gcm uncertainties on the change of area with snow frequency larger than 10% (a) and 90% (b) under the RCP4.5 (blue) and RCP8.5 (red) emission scenarios for the five months (Unit: %)
10 Table. S1. The ten representative stations used in this study Name State Latitude Longitude Elevation Landscape type 1 Hot Springs VA N W 681.5m Mountain 2 Jefferson City MO N W 204.2m Urban 3 Danville IL N W 170.1m Inland 4 New York NY N W 39.6m Urban/Coast 5 State College PA N W 356.6m Mountain 6 Norwalk OH N W 204.2m Lakeside 7 Plymouth-Kingston MA N W 13.7m Coast 8 Keene NH N W 158.5m Inland 9 Hart MI N W 234.7m Lakeside 10 Presque Isle ME N W 182.6m Inland
11 Table. S2. The CMIP5 GCMs used in this study Model CanESM2 CCSM4 CNRM-CM5 CSIRO-MK3.6.0 GFDL-CM3 IPSL-CM5A-MR MIROC5 MPI-ESM-MR MRI-CGCM3 NorESM1-M Institution Canadian Centre for Climate Modelling and Analysis, Canada 1 National Center for Atmospheric Research (NCAR), USA 2 Centre National de Recherches Meteorologiques, Meteo-France, France 3 Australian Commonwealth Scientific and Industrial Research Organization, Australia 4 NOAA Geophysical Fluid Dynamics Laboratory (GFDL), USA 5 Institut Pierre-Simon Laplace, France 6 AORI (Atmosphere and Ocean Research Institute), NIES (National Institute for Environmental Studies), JAMSTEC (Japan Agency for Marine-Earth Science and Technology), Japan 7 Max Planck Institute for Meteorology, Germany 8,9 Meteorological Research Institute, Japan 10 Norwegian Climate Centre, Norway 11
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