Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Colin Sowder"'
Publikováno v:
Ecological Indicators. 84:11-26
Understanding, predicting, and managing the spatiotemporal complexity of stream thermal regimes requires monitoring strategies designed specifically to make inference about spatiotemporal variability on the whole stream network. Moreover, monitoring
Publikováno v:
JAWRA Journal of the American Water Resources Association. 52:769-787
Although mean temperatures change annually and are highly correlated with elevation, the entire thermal regime on the Snoqualmie River, Washington, USA does not simply shift with elevation or season. Particular facets of the thermal regime have uniqu
Autor:
Marie Novak, David Bolin, Peter Guttorp, Lee Richardson, Colin Sowder, Harry Podschwit, Aila Särkkä, Aaron Zimmerman, Alex Januzzi
Publikováno v:
Journal of Applied Meteorology and Climatology. 53:2163-2170
The process of moving from an ensemble of global climate model temperature projections to local sea level projections requires several steps. Sea level was estimated in Olympia, Washington (a city that is very concerned with sea level rise because pa
Autor:
Nicholas A. Som, Chris E. Jordan, Jay M. Ver Hoef, Christian E. Torgersen, Aaron S. Ruesch, Colin Sowder, Jeffrey A. Falke, Marie-Josée Fortin, Pascal Monestiez, Daniel J. Isaak, E. Ashley Steel, Erin E. Peterson, Seth J. Wenger
Publikováno v:
Wiley Interdisciplinary Reviews: Water. 1:277-294
Streams and rivers host a significant portion of Earth's biodiversity and provide important ecosystem services for human populations. Accurate information regarding the status and trends of stream resources is vital for their effective conservation a
Autor:
Colin Sowder, E. Ashley Steel
Publikováno v:
Water, Vol 4, Iss 3, Pp 597-606 (2012)
Inexpensive remote temperature data loggers have allowed for a dramatic increase of data describing water temperature regimes. This data is used in understanding the ecological functioning of natural riverine systems and in quantifying changes in the
Autor:
Daniel Jones, Marie Novak, Peter Guttorp, Harry Podschwit, Alex Januzzi, Lee Richardson, David Bolin, Colin Sowder, Aila Särkkä, Aaron Zimmerman
Publikováno v:
Statistica Sinica.
Sea level rise is a threat to many coastal communities, and projection of future sea level for different climate change scenarios is an important societal task In this paper, we first construct a time series regression model to predict global sea lev