HR: 1340h
AN: C23A-0937 [Abstracts]
TI: Towards predicting streamflow based on SWE, melt timing, and topography in subarctic heterogeneous terrain
AU: * Yan, F
EM: fey206@lehigh.edu
AF: Earth and Environmental Sciences, Lehigh University, 31 Williams Dr., Bethlehem, PA
18015, United States
AU: Ramage, J
EM: ramage@lehigh.edu
AF: Earth and Environmental Sciences, Lehigh University, 31 Williams Dr., Bethlehem, PA
18015, United States
AU: McKenney, R
EM: mckennra@plu.edu
AF: Geosciences/Environmental Studies, Pacific Lutheran University, Rieke 158, Tacoma, WA
98447, United States
AB:
Snowmelt onset date and snow water equivalent (SWE) are major factors that influence the spring runoff in high
latitude, snow dominated basins. We combine AMSR-E L3 daily SWE from March to June 2003-2006, daily
hydrological records from 3 sites on the Pelly and Ross Rivers, Yukon Territory [Pelly Crossing N62.82¡ã,
W136.58¡ã, Faro N62.22¡ã,W133.37¡ã, and Ross River N61.99¡ã,W132.37¡ã], and a 1:250,000 DEM to develop a
technique to predict streamflow in subarctic heterogeneous terrain. The AMSR-E L3 SWE algorithm was
developed for global snow cover distributions; it is not optimized for heterogeneous terrain. Field data suggest
that it underestimates the SWE in this area. We assume it represents the minimum SWE per pixel. SWE
variations of the Pelly River basin (49,000 km2) and its two nested sub-basins (22,100 km2 and 7,250 km2),
show that SWE had an apparent drop shortly after the snowmelt onset date determined from Tb and diurnal
amplitude variations (DAV), which are also correlated with temperature change. During the early stage of
snowmelt, high and low elevations have no significant SWE difference. After mid-April, the most intense melt
period at lower elevations, low elevation SWE drops far below high elevation SWE, which is just beginning the
melt process. Initial melt and the drop in low elevation SWE likely cause the first small discharge peak in the
hydrograph. When the SWE throughout the basin approaches 0 mm for more than 3 days, it is followed by the
peak flow. The largest basin has an about 14 day lag between the SWE drop and the flow increase, while the
smaller basins have an about 9 day lag. Snow distribution, melt, runoff, and the lag times vary due to diverse
terrain and microclimate factors such as: forest cover, permafrost, temperature and precipitation. By combining
topography, snow distribution and melt timing, we have developed an understanding of basin-specific stream
discharge response to spring thaw. Passive microwave derived daily SWE data combined with terrain and melt
timing have significant potential for constraining and predicting stream flow timing and magnitude during the melt
season in subarctic regions.
DE: 0736 Snow (1827, 1863)
DE: 0740 Snowmelt
DE: 0758 Remote sensing
SC: Cryosphere [C]
MN: 2007 Fall Meeting