Dominance of grain size impacts on seasonal snow albedo at open sites in New Hampshire

Snow cover serves as a major control on the surface energy budget in temperate regions due to its high reflectivity compared to underlying surfaces. Winter in the northeastern United States has changed over the last several decades, resulting in shallower snowpacks, fewer days of snow cover, and increasing precipitation falling as rain in the winter. As these climatic changes occur, it is imperative that we understand current controls on the evolution of seasonal snow albedo in the region. Over three winter seasons between 2013 and 2015, snow characterization measurements were made at three open sites across New Hampshire. These near-daily measurements include spectral albedo, snow optical grain size determined through contact spectroscopy, snow depth, snow density, black carbon content, local meteorological parameters, and analysis of storm trajectories using the Hybrid Single-Particle Lagrangian Integrated Trajectory model. Using analysis of variance, we determine that land-based winter storms result in marginally higher albedo than coastal storms or storms from the Atlantic Ocean. Through multiple regression analysis, we determine that snow grain size is significantly more important in albedo reduction than black carbon content or snow density. And finally, we present a parameterization of albedo based on days since snowfall and temperature that accounts for 52% of variance in albedo over all three sites and years. Our improved understanding of current controls on snow albedo in the region will allow for better assessment of potential response of seasonal snow albedo and snow cover to changing climate.

[1]  S. Warren,et al.  A Model for the Spectral Albedo of Snow. II: Snow Containing Atmospheric Aerosols , 1980 .

[2]  A. Hall,et al.  On the persistent spread in snow-albedo feedback , 2012, Climate Dynamics.

[3]  Thomas R. Karl,et al.  Observed Impact of Snow Cover on the Heat Balance and the Rise of Continental Spring Temperatures , 1994, Science.

[4]  J. Hansen,et al.  Soot climate forcing via snow and ice albedos. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[5]  A. Hall,et al.  Using the current seasonal cycle to constrain snow albedo feedback in future climate change , 2006 .

[6]  Kenneth G. Libbrecht,et al.  The physics of snow crystals , 2005 .

[7]  Thomas H. Painter,et al.  Dust radiative forcing in snow of the Upper Colorado River Basin: 1. A 6 year record of energy balance, radiation, and dust concentrations , 2012 .

[8]  L. Hamilton,et al.  Warming winters and New Hampshire’s lost ski areas: an integrated case study , 2003 .

[9]  Charles S. Zender,et al.  Linking snowpack microphysics and albedo evolution , 2006 .

[10]  Anil V. Kulkarni,et al.  Hyperspectral analysis of snow reflectance to understand the effects of contamination and grain size , 2010, Annals of Glaciology.

[11]  Elizabeth A. Burakowski,et al.  Climate Impacts on the Winter Tourism Economy in the United States , 2012 .

[12]  Liming Zhou,et al.  Change in snow phenology and its potential feedback to temperature in the Northern Hemisphere over the last three decades , 2013 .

[13]  Jesse,et al.  U.S. Climate Reference Network after One Decade of Operations: Status and Assessment , 2013 .

[14]  Glenn A. Hodgkins,et al.  Changes in the Proportion of Precipitation Occurring as Snow in New England (1949–2000) , 2004 .

[15]  Philip W. Mote,et al.  The Response of Northern Hemisphere Snow Cover to a Changing Climate , 2008 .

[16]  J. Randerson,et al.  Technical Description of version 4.0 of the Community Land Model (CLM) , 2010 .

[17]  Thomas H. Painter,et al.  Improving snow albedo processes in WRF/SSiB regional climate model to assess impact of dust and black carbon in snow on surface energy balance and hydrology over western U.S. , 2015 .

[18]  W. McDowell,et al.  A longer vernal window: the role of winter coldness and snowpack in driving spring transitions and lags , 2017, Global change biology.

[19]  Thomas H. Painter,et al.  Dust radiative forcing in snow of the Upper Colorado River Basin: 2. Interannual variability in radiative forcing and snowmelt rates , 2012 .

[20]  Philip J. Rasch,et al.  Present-day climate forcing and response from black carbon in snow , 2006 .

[21]  Teruo Aoki,et al.  Physically based snow albedo model for calculating broadband albedos and the solar heating profile in snowpack for general circulation models , 2011 .

[22]  B. J. Mason,et al.  The influence of temperature and supersaturation on the habit of ice crystals grown from the vapour , 1958, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[23]  J. Schauer,et al.  Neither dust nor black carbon causing apparent albedo decline in Greenland's dry snow zone: Implications for MODIS C5 surface reflectance , 2015 .

[24]  T. Barnett,et al.  Potential impacts of a warming climate on water availability in snow-dominated regions , 2005, Nature.

[25]  Christopher G. Fletcher,et al.  Using models and satellite observations to evaluate the strength of snow albedo feedback , 2012 .

[26]  Teruo Aoki,et al.  Effects of snow physical parameters on shortwave broadband albedos , 2003 .

[27]  Ross D. Brown,et al.  Recent Northern Hemisphere snow cover extent trends and implications for the snow‐albedo feedback , 2007 .

[28]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[29]  Christophe Kinnard,et al.  Albedo over rough snow and ice surfaces , 2014 .

[30]  J. Tukey Comparing individual means in the analysis of variance. , 1949, Biometrics.

[31]  C. Wake,et al.  Major fraction of black carbon is flushed from the melting New Hampshire snowpack nearly as quickly as soluble impurities , 2017 .

[32]  Mo Wang,et al.  Light-absorbing particles in snow and ice: Measurement and modeling of climatic and hydrological impact , 2014, Advances in Atmospheric Sciences.

[33]  Eleonora P Zege,et al.  Scattering optics of snow. , 2004, Applied optics.

[34]  Thomas H. Painter,et al.  Accelerated glacier melt on Snow Dome, Mount Olympus, Washington, USA, due to deposition of black carbon and mineral dust from wildfire , 2015 .

[35]  S. Kaspari,et al.  Black carbon concentrations in snow at Tronsen Meadow in Central Washington from 2012 to 2013: Temporal and spatial variations and the role of local forest fire activity , 2015 .

[36]  Jean-François Mahfouf,et al.  A new snow parameterization for the Météo-France climate model , 1995 .

[37]  Thomas H. Painter,et al.  Response of Colorado River runoff to dust radiative forcing in snow , 2010, Proceedings of the National Academy of Sciences.

[38]  S. Warren,et al.  Black carbon and other light‐absorbing particles in snow of central North America , 2014 .

[39]  V. Ramanathan,et al.  Global and regional climate changes due to black carbon , 2008 .

[40]  Zoe Courville,et al.  Comparing MODIS daily snow albedo to spectral albedo field measurements in Central Greenland , 2014 .

[41]  Michael D. Dettinger,et al.  Trends in Snowfall versus Rainfall in the Western United States , 2006 .

[42]  K. Trenberth Changes in precipitation with climate change , 2011 .

[43]  J. Dozier,et al.  Retention and radiative forcing of black carbon in eastern Sierra Nevada snow , 2012 .

[44]  Variations of the snow physical parameters and their effects on albedo in Sapporo, Japan , 2007, Annals of Glaciology.

[45]  S. Warren,et al.  Reflection of solar radiation by the Antarctic snow surface at ultraviolet, visible, and near‐infrared wavelengths , 1994 .

[46]  J. McConnell,et al.  Delineation of carbonate dust, aluminous dust, and sea salt deposition in a Greenland glaciochemical array using positive matrix factorization , 2008 .

[47]  Teruo Aoki,et al.  Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface , 2000 .

[48]  John Sall,et al.  Leverage Plots for General Linear Hypotheses , 1990 .

[49]  T. Kirchstetter,et al.  Black-carbon reduction of snow albedo , 2012 .

[50]  D. Perovich Light reflection and transmission by a temperate snow cover , 2007, Journal of Glaciology.

[51]  L. Ruby Leung,et al.  Effects of soot‐induced snow albedo change on snowpack and hydrological cycle in western United States based on Weather Research and Forecasting chemistry and regional climate simulations , 2009 .

[52]  J. M. Norman,et al.  Partitioning solar radiation into direct and diffuse, visible and near-infrared components , 1985 .

[53]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[54]  Donald K. Perovich,et al.  Seasonal evolution of the albedo of multiyear Arctic sea ice , 2002 .

[55]  Thomas H. Painter,et al.  Contact spectroscopy for determination of stratigraphy of snow optical grain size , 2007, Journal of Glaciology.

[56]  R. Koster,et al.  Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth system , 2015 .

[57]  M. Sofiev,et al.  Spectral albedo of seasonal snow during intensive melt period at Sodankylä, beyond the Arctic Circle , 2013 .

[58]  T. Berntsen,et al.  In situ observations of black carbon in snow and the corresponding spectral surface albedo reduction , 2015 .

[59]  J. Steffensen The size distribution of microparticles from selected segments of the Greenland Ice Core Project ice core representing different climatic periods , 1997 .

[60]  A. Hall,et al.  What Controls the Strength of Snow-Albedo Feedback? , 2007 .

[61]  Laurent Arnaud,et al.  Snow spectral albedo at Summit, Greenland: measurements and numerical simulations based on physical and chemical properties of the snowpack , 2013 .

[62]  J. Dozier,et al.  A Hyperspectral Method for Remotely Sensing the Grain Size of Snow , 2000 .

[63]  S. Colbeck,et al.  An overview of seasonal snow metamorphism , 1982 .

[64]  T. Painter,et al.  Retrieval of subpixel snow-covered area and grain size from imaging spectrometer data , 2003 .

[65]  S. Warren,et al.  A Model for the Spectral Albedo of Snow. I: Pure Snow , 1980 .

[66]  Dara Entekhabi,et al.  Recent Arctic amplification and extreme mid-latitude weather , 2014 .

[67]  T. Painter,et al.  Seasonal and elevational variations of black carbon and dust in snow and ice in the Solu-Khumbu, Nepal and estimated radiative forcings , 2013 .

[68]  G. Picard,et al.  Vertical profile of the specific surface area and density of the snow at Dome C and on a transect to Dumont D'Urville, Antarctica – albedo calculations and comparison to remote sensing products , 2011 .

[69]  Laurent Arnaud,et al.  Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series , 2016 .

[70]  S. Warren,et al.  Parameterizations for narrowband and broadband albedo of pure snow and snow containing mineral dust and black carbon , 2014 .

[71]  D. Verseghy,et al.  Class—A Canadian land surface scheme for GCMS. I. Soil model , 2007 .

[72]  A. Pitman,et al.  The validation of a snow parameterization designed for use in general circulation models , 1998 .

[73]  John C. Lin,et al.  Regional variability in dust‐on‐snow processes and impacts in the Upper Colorado River Basin , 2015 .

[74]  S. Warren,et al.  Causes of variability in light absorption by particles in snow at sites in Idaho and Utah , 2016 .

[75]  T. Painter,et al.  Impact of disturbed desert soils on duration of mountain snow cover , 2007 .