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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.

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