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39<br />
63 rd EASTERN SNOW CONFERENCE<br />
Newark, Delaware USA 2006<br />
20 th Century North Americ<strong>an</strong> <strong>Snow</strong> Extent Trends:<br />
Climate Ch<strong>an</strong>ge or Natural Climate Variability?<br />
EXTENDED ABSTRACT<br />
ALLAN FREI, 1 GAVIN GONG, 2 DAVID A. ROBINSON, 3<br />
GWANGYONG CHOI, 4 DEBJANI GHATAK, 5 AND YAN GE 6<br />
The purpose of this <strong>an</strong>alysis is to test <strong>the</strong> null hypo<strong>the</strong>sis that continental scale variations in<br />
North Americ<strong>an</strong> snow cover extent (NA SCE) c<strong>an</strong> be explained by atmospheric circulation alone,<br />
without need to invoke additional expl<strong>an</strong>atory factors such <strong>as</strong> climate ch<strong>an</strong>ge. We test <strong>the</strong> null<br />
hypo<strong>the</strong>sis by (1) presenting what is known about decadal scale variations in twentieth century<br />
continental scale NA SCE, <strong>an</strong>d (2) examining historical variations in surface climate, tropospheric<br />
<strong>an</strong>d stratospheric circulation, <strong>as</strong> well <strong>as</strong> corollary evidence from arctic sea ice variations, to<br />
determine whe<strong>the</strong>r <strong>the</strong> available evidence supports or refutes <strong>the</strong> null hypo<strong>the</strong>sis. In this<br />
presentation, preliminary results are presented focusing on snow extent during spring (i.e., March).<br />
The full report is being prepared for submission for publication elsewhere.<br />
METHODS AND DATA<br />
In order to test <strong>the</strong> null hypo<strong>the</strong>sis, we utilize data sets that extend back to, <strong>an</strong>d beyond, <strong>the</strong> mid<br />
twentieth century. Variations in snow depth, surface temperature <strong>an</strong>d precipitation rate, <strong>as</strong> well <strong>as</strong><br />
upper tropospheric <strong>an</strong>d mid stratospheric geopotential heights <strong>an</strong>d wind speeds are examined<br />
using time series, composite, <strong>an</strong>d correlation <strong>an</strong>alyses. Time series <strong>an</strong>alyses are used to identify<br />
climatic features in <strong>the</strong>se fields that covary over inter<strong>an</strong>nual <strong>an</strong>d decadal time scales. To evaluate<br />
decadal ch<strong>an</strong>ges, time series were smoo<strong>the</strong>d using 9-year running me<strong>an</strong>s <strong>as</strong> a low p<strong>as</strong>s filter in<br />
order to focus on decadal <strong>an</strong>d longer scale variations. The results <strong>an</strong>d conclusions are robust with<br />
regards to ch<strong>an</strong>ges in <strong>the</strong> smoothing window size. Observations of snow extent are taken from <strong>the</strong><br />
NOAA visible b<strong>as</strong>ed satellite product (Ramsay 1998; Robinson et al. 1999; Helfrich et al. 2006);<br />
reconstructed snow extent is from two sources (Brown 2000; Frei et al. 1999); snow depth is from<br />
a new gridded product (described in Dyer <strong>an</strong>d Mote 2006); climatological fields are from <strong>the</strong><br />
NCEP/NCAR Re<strong>an</strong>alysis project (Kalnay <strong>an</strong>d co-authors 1996); <strong>an</strong>d teleconnection indices are<br />
from <strong>the</strong> NOAA Climate Diagnostic Center, <strong>the</strong> Climate Research Unit of <strong>the</strong> University of E<strong>as</strong>t<br />
Anglia, <strong>an</strong>d <strong>the</strong> National Center for Atmospheric Research.<br />
1<br />
Department of Geography, Hunter College, Graduate Program in Earth <strong>an</strong>d Environmental<br />
Sciences, City University of New York, NY.<br />
2<br />
Department of Earth <strong>an</strong>d Environmental Engineering, Columbia University, NY.<br />
3<br />
Department of Geography, Rutgers University, NJ.<br />
4<br />
Department of Geography, Rutgers University, NJ.<br />
5<br />
Department of Geography, Hunter College, Graduate Program in Earth <strong>an</strong>d Environmental<br />
Sciences, City University of New York, NY.<br />
6<br />
Department of Earth <strong>an</strong>d Environmental Engineering, Columbia University, NY.