2018
DOI: 10.1016/j.csr.2018.01.002
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Coastal upwelling seasonality and variability of temperature and chlorophyll in a small coastal embayment

Abstract: A three-dimensional, near real-time data-assimilative modeling system for the California coastal ocean is presented. The system consists of a Regional Ocean Modeling System (ROMS) forced by the North American Mesoscale Forecast System (NAM). The ocean model has a horizontal resolution of approximately three kilometers and utilizes a multi-scale three-dimensional variational (3DVAR) data assimilation methodology. The system is run in near real-time to produce a nowcast every six hours and a 72-hour forecast eve… Show more

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Cited by 28 publications
(28 citation statements)
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References 77 publications
(51 reference statements)
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“…The long-term variability of these flows is not well-characterized by existing measurements, and knowledge of the spatial variability is limited to locations with aircraft studies and HF radar (Kim et al, 2011;Ràfols et al, 2017). In the lee of capes in eastern boundary upwelling systems, "upwelling shadows" create regions of low wind speeds and warm sea-surface temperature, accompanied by near coastal flows opposite to the direction of the prevailing regional wind (Graham and Largier, 1997;Roughan, 2005a,b;Piñones et al, 2007;Ryan et al, 2008Ryan et al, , 2014Woodson et al, 2009;Walter et al, 2016Walter et al, , 2018. When the regional wind weakens or "relaxes" periodically (Fewings et al, 2016;Fewings, 2017), the local diurnal wind patterns and ocean stratification change (Aristizábal et al, 2017).…”
Section: Orographic Wind Intensification and Small-scale Coastal Flowsmentioning
confidence: 99%
“…The long-term variability of these flows is not well-characterized by existing measurements, and knowledge of the spatial variability is limited to locations with aircraft studies and HF radar (Kim et al, 2011;Ràfols et al, 2017). In the lee of capes in eastern boundary upwelling systems, "upwelling shadows" create regions of low wind speeds and warm sea-surface temperature, accompanied by near coastal flows opposite to the direction of the prevailing regional wind (Graham and Largier, 1997;Roughan, 2005a,b;Piñones et al, 2007;Ryan et al, 2008Ryan et al, , 2014Woodson et al, 2009;Walter et al, 2016Walter et al, , 2018. When the regional wind weakens or "relaxes" periodically (Fewings et al, 2016;Fewings, 2017), the local diurnal wind patterns and ocean stratification change (Aristizábal et al, 2017).…”
Section: Orographic Wind Intensification and Small-scale Coastal Flowsmentioning
confidence: 99%
“…To guide the evaluation and optimal planning of offshore wind energy, it is critical to consider both spatial and temporal variability in energy production across a range of scales (Lee et al 2018). Offshore winds, such as along the California Coast, vary on interannual, seasonal (peaks in the spring), synoptic, and daily time scales (peaks in the early evening), in addition to being spatially variable (Walter et al 2018, Wang et al 2019. This spatiotemporal variability becomes critical in estimating power production since the power produced by a turbine depends on the cube of the wind speed, a nonlinear relationship that amplifies the effects of small changes in wind speed.…”
Section: Introductionmentioning
confidence: 99%
“…During months with stronger wind forcing (e.g., spring/summer upwelling months, cf. Walter et al [15]), the daily peaks arrived slightly later compared to during other months. For example, at 46028, wind speed peaks around 20 h in May and at 18 h in January.…”
Section: Buoy Climatologymentioning
confidence: 90%
“…This region is characterized by moderately strong and consistently equatorward winds throughout much of the year, particularly for the region north of Point Conception (e.g. [13,15]). A previous study suggested that the annual average of wind speed at hub height exceeds 7 m s À1 , highlighting the potential for offshore wind farms [12].…”
Section: Study Domainmentioning
confidence: 99%