The Loop Current (LC) is the dominant physical process in Gulf of Mexico waters. As the LC meanders from the Yucatan Channel through the Gulf of Mexico to its exit through the Florida Straits, it brings with it a large, deep mass of warmer water and strong currents (see Figure S.1). The LC’s position varies greatly from its retracted state in the Yucatan Channel, directly east of the Florida Straits, to its extended state into the far northern and western Gulf. Why and when the LC suddenly intrudes north has not been able to be predicted with sufficient skill. Occasionally, an eddy (Loop Current eddy [LCE]) sheds from the LC and slowly migrates westward, bringing with it the LC’s warm water and strong currents. What triggers that separation and when are also not skillfully predicted. Research in this area is not new; field and numerical studies of the Gulf of Mexico’s circulation have been conducted for decades, yet vexing questions remain:
Answers to these two fundamental questions are necessary for advancing the ability to predict Loop Current System (LCS) behavior and thereby providing invaluable information for Gulf of Mexico oil and gas operations, disaster response, ecologically based management of living marine resources, tropical cyclone intensification predictions and track forecasting, and estimating the moisture flux into the U.S. heartland and the latent heat flux that drives extratropical storms and tornados. This study aims to describe critical components of a field campaign that would fill those gaps, thereby leading to significant improvements in both short-term and long-range predictions of the LCS.
In carrying out this task, the committee seeks to advise the National Academies of Sciences, Engineering, and Medicine’s (the National Academies’) Gulf Research Program (GRP) in investing funds that will ultimately allow modelers to
The committee’s overarching recommendation is to create a comprehensive, long-term, vertically integrated, coordinated set of observations over the climatologically relevant LCS active area. This should lead to new analyses that result in new theory and understanding, which in turn can update model physics and provide opportunities to assimilate more near-real-time data. The campaign recommendation is divided into observational components, technological advancements, data assimilation and modeling, and analyses and theory:
inflow/outflow points, and as bathymetry affects LCS variability. Since observations will always be limited, the utilization of uncertainty predictions, multivariate data assimilation schemes, efficient adaptive sampling, and accurate Bayesian inference are equally important.
The recommendations included in the report are components for a comprehensive campaign directed to the GRP so that it can devote available resources to these efforts through fair, competitive processes. The components are organized into recommended near-term activities and larger campaign-scale activities that will build on the near-term activities. The campaign is envisioned as an international, multi-institutional, collaborative effort designed to support an approximately decade-long campaign of targeted observations. Rough cost estimates based on committee experience are, over the span of a decade, in the $100–$125 million range.
The report concludes with the committee’s advice to the GRP on a set of campaign-related solicitations. The advice may be viewed in four principal parts: recommendations on several near-term funding opportunities for initial observations and studies that will better inform the campaign at large; advice on the major campaign solicitation, including selection process alternatives and organizational relationships between the GRP and its campaign performers; advice on the wide range of collaboration opportunities with various potential partners over the next decade; and estimated costs of carrying out the campaign, including procurements, operations and maintenance, data management, overall management and administration, scientific analyses, and data assimilation/modeling tasks.