Title Development of the Pan-Arctic Snowfall Reconstruction; new land-based solid precipitation estimates for 1940- 99
Author Cherry, J.E.; Tremblay, L.B.; Stieglitz, M.; Gong, G.; Déry, S.J.
Author Affil Cherry, J.E., University of Alaska Fairbanks, International Arctic Research Center, Fairbanks, AK. Other: McGill University, Canada; Georgia Institute of Technology; Columbia University; University of Northern British Columbia, Canada
Source Journal of Hydrometeorology, 8(6), p.1243-1263, . Publisher: American Meteorological Society, Boston, MA, United States. ISSN: 1525-755X
Publication Date Dec. 2007
Notes In English. NSF Grant OPP-0002239. 89 refs. GeoRef Acc. No: 284761
Index Terms precipitation (meteorology); meteorology; models; snow; snow accumulation; weather observations; Arctic region; United States--Alaska--Barrow; Canada--British Columbia; United States--North Dakota--Minot; Canada--Saskatchewan--Regina; United States-- North Dakota--Ward County; Alaska; atmospheric precipitation; Barrow Alaska; British Columbia; Canada; Dease Lake; Minot North Dakota; North Dakota; Northern Alaska; reconstruction; Regina Saskatchewan; Saskatchewan; United States; Ward County North Dakota; Western Canada
Abstract A new product, the Pan-Arctic Snowfall Reconstruction (PASR), is developed to address the problem of cold season precipitation gauge biases for the 1940-99 period. The method used to create the PASR is different from methods used in other large- scale precipitation data products and has not previously been employed for estimating pan- arctic snowfall. The NASA Interannual-to- Seasonal Prediction Project Catchment Land Surface Model is used to reconstruct solid precipitation from observed snow depth and surface air temperatures. The method is tested at four stations in the United States and Canada where results are examined in depth. Reconstructed snowfall at Dease Lake, British Columbia, and Barrow, Alaska, is higher than gauge observations. Reconstructed snowfall at Regina, Saskatchewan, and Minot, North Dakota, is lower than gauge observations, probably because snow is transported by wind out of the Prairie region and enters the hydrometeorological cycle elsewhere. These results are similar to gauge biases estimated by a water budget approach. Reconstructed snowfall is consistently higher than snowfall from the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re- Analysis (ERA-40) but does not have a consistent relationship with snowfall derived from the WMO Solid Precipitation Intercomparison Project correction algorithms. Advantages of the PASR approach include that 1) the assimilation of snow depth observations captures blowing snow where it is deposited and 2) the modeling approach takes into account physical snowpack evolution. These advantages suggest that the PASR product could be a valuable alternative to statistical gauge corrections and that arctic ground-based solid precipitation observing networks might emphasize snow depth measurements over gauges.
URL http://hdl.handle.net/10.1175/2007JHM765.1
Publication Type journal article
Record ID 62005069