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contributor authorBroxton, Patrick D.;Zeng, Xubin;Dawson, Nicholas
date accessioned2018-01-03T11:01:38Z
date available2018-01-03T11:01:38Z
date copyright7/28/2017 12:00:00 AM
date issued2017
identifier otherjcli-d-17-0072.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246222
description abstractAbstractAcross much of the Northern Hemisphere, Climate Forecast System forecasts made earlier in the winter (e.g., on 1 January) are found to have more snow water equivalent (SWE) in April?June than forecasts made later (e.g., on 1 April); furthermore, later forecasts tend to predict earlier snowmelt than earlier forecasts. As a result, other forecasted model quantities (e.g., soil moisture in April?June) show systematic differences dependent on the forecast lead time. Notably, earlier forecasts predict much colder near-surface air temperatures in April?June than later forecasts. Although the later forecasts of temperature are more accurate, earlier forecasts of SWE are more realistic, suggesting that the improvement in temperature forecasts occurs for the wrong reasons. Thus, this study highlights the need to improve atmospheric processes in the model (e.g., radiative transfer, turbulence) that would cause cold biases when a more realistic amount of snow is on the ground. Furthermore, SWE differences in earlier versus later forecasts are found to much more strongly affect April?June temperature forecasts than the sea surface temperature differences over different regions, suggesting the major role of snowpack in seasonal prediction during the spring?summer transition over snowy regions.
publisherAmerican Meteorological Society
titleThe Impact of a Low Bias in Snow Water Equivalent Initialization on CFS Seasonal Forecasts
typeJournal Paper
journal volume30
journal issue21
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-17-0072.1
journal fristpage8657
journal lastpage8671
treeJournal of Climate:;2017:;volume( 030 ):;issue: 021
contenttypeFulltext


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