Biomass burning impacts vegetation dynamics, biogeochemical cycling, atmospheric chemistry, and climate, with sometimes deleterious socio-economic impacts. Under future climate projections it is often expected that the risk of wildfires will increase. Our ability to predict the magnitude and geographic pattern of future fire impacts rests on our ability to model...
A high-resolution primitive equation model simulation is used to form an energy budget for the principal semidiurnal tide (M₂) over a region of the Hawaiian Ridge from Niihau to Maui. This region includes the Kaena Ridge, one of the three main internal tide generation sites along the Hawaiian Ridge and...
An integrated analysis of turbulence observations from four unique instrument platforms obtained over
the Hawaiian Ridge leads to an assessment of the vertical, cross-ridge, and along-ridge structure of turbulence
dissipation rate and diffusivity. The diffusivity near the seafloor was, on average, 15 times that in the
midwater column. At 1000-m...
The relative influences of trans-Pacific and regional atmospheric transport on measured concentrations of polycyclic aromatic hydrocarbons (PAHs), PAH derivatives [Nitro- (NPAH) and Oxy-(OPAH)], organic carbon (OC), and Particulate Matter (PM) less than 2.5 μm in diameter (PM₂.₅) were investigated in the Pacific Northwest, USA in 2010-2011. Ambient high volume PM₂.₅...
Full Text:
Lafontaine,† Jill Schrlau,‡ Jack Butler,∇,§ Yuling Jia,‡ Barbara Harper,§,∇,∥ Stuart Harris,§,∇
Lisa M
Published November 1956. Facts and recommendations in this publication may no longer be valid. Please look for up-to-date information in the OSU Extension Catalog: http://extension.oregonstate.edu/catalog
Fires affect animals mainly through effects on their habitat. Fires often cause short-term increases in wildlife foods that contribute to increases in populations of some animals. These increases are moderated by the animals’ ability to thrive in the altered, often simplified, structure of the postfire environment. The extent of fire...
Currently, forecasts produced by the Oregon-Washington (OR-WA) Coastal Ocean Forecast System are constrained by assimilation of only surface observations. The 4-dimensional variational (4DVAR) data assimilation (DA) algorithm is utilized to combine the model and the data, with the time-independent forecast ("background'') error covariance B. In this study, two possible improvements...