2014
DOI: 10.1175/jpo-d-13-018.1
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Wind-Driven Sea Level Variability on the California Coast: An Adjoint Sensitivity Analysis

Abstract: Effects of atmospheric forcing on coastal sea surface height near Port San Luis, central California, are investigated using a regional state estimate and its adjoint. The physical pathways for the propagation of nonlocal [O(100 km)] wind stress effects are identified through adjoint sensitivity analyses, with a cost function that is localized in space so that the adjoint shows details of the propagation of sensitivities. Transfer functions between wind stress and SSH response are calculated and compared to pre… Show more

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Cited by 33 publications
(48 citation statements)
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“…Our results and previous 2014-16 CCS anomaly attribution studies (Chao et al 2017;Frischknecht et al 2017;Myers et al 2018) are sensitive to model configurations and the geometry of the ocean volume being analyzed. As discussed in Zaba et al (2018), the 3-month assimilation window used here is shorter than that of a former long-term (2007-10) version of CASE Todd et al 2011Todd et al , 2012Verdy et al 2014) to increase model controllability of eddy variability. This 3-month window is longer than that of other CCS modeling studies (Chao et al 2018;Kurapov et al 2017;Neveu et al 2016) to capture the continuous evolution of ocean dynamics over monthly time scales.…”
Section: Discussionmentioning
confidence: 99%
“…Our results and previous 2014-16 CCS anomaly attribution studies (Chao et al 2017;Frischknecht et al 2017;Myers et al 2018) are sensitive to model configurations and the geometry of the ocean volume being analyzed. As discussed in Zaba et al (2018), the 3-month assimilation window used here is shorter than that of a former long-term (2007-10) version of CASE Todd et al 2011Todd et al , 2012Verdy et al 2014) to increase model controllability of eddy variability. This 3-month window is longer than that of other CCS modeling studies (Chao et al 2018;Kurapov et al 2017;Neveu et al 2016) to capture the continuous evolution of ocean dynamics over monthly time scales.…”
Section: Discussionmentioning
confidence: 99%
“…Notably, while Ekman transport overestimates vertical transport, the regression line between the two still crosses through (0,0), indicating that cross‐shore geostrophic transport tends to oppose Ekman transport whether it is upwelling or downwelling favorable (Figure ) and supporting the notion that at least on short (weekly) timescales, the alongshore surface pressure gradient sets up in response to the local wind. On longer timescales, the surface pressure gradient is influenced more strongly by remote (greater than O[100 km] away) wind variability and subsequent coastal trapped wave propagation (e.g., Verdy et al, ).…”
Section: Improved Upwelling Indices For the Us West Coastmentioning
confidence: 99%
“…We separate the linear and nonlinear responses of a given quantity by imposing positive and negative perturbations of the same magnitude in two different model runs following Verdy et al (2014) and Jones et al (2018). Given a perturbation ΔQ = Q − Q 0 , in a quantity Q, then the response of a variable H(Q) can be approximated by Taylor series expansions as:…”
Section: Appendix A: Separating Linear and Nonlinear Responsesmentioning
confidence: 99%