Progress in operational modeling in support of oil spill response

Following the 2010 Deepwater Horizon accident of a massive blow-out in the Gulf of Mexico, scientists from government, industry, and academia collaborated to advance oil spill modeling and share best practices in model algorithms, parameterizations, and application protocols. This synergy was greatly enhanced by research funded under the Gulf of Mexico Research Initiative (GoMRI), a 10-year enterprise that allowed unprecedented collection of observations and data products, novel experiments, and international collaborations that focused on the Gulf of Mexico, but resulted in the generation of scientific findings and tools of broader value. Operational oil spill modeling greatly benefited from research during the GoMRI decade. This paper provides a comprehensive synthesis of the related scientific advances, remaining challenges, and future outlook. Two main modeling components are discussed: Ocean circulation and oil spill models, to provide details on all attributes that contribute to the success and limitations of the integrated oil spill forecasts. These forecasts are discussed in tandem with uncertainty factors and methods to mitigate them. The paper focuses on operational aspects of oil spill modeling and forecasting, including examples of international operational center practices, observational needs, communication protocols, and promising new methodologies

The use of roller swabs for Salmonella detection in poultry litter

Summary: Litter sampling is utilized as a noninvasive and practical method to determine broiler flock Salmonella status. The common methods include boot cover/sock (BC), drag swab (DS), or litter grab sampling (LG). Roller swabs are a new research method that can be used to sample litter without entering research pens. This study aimed to assess the use of roller swabs (RS) for Salmonella (S) detection in comparison to BC, DS, and LG. For Experiment 1, litter was sampled for two weeks following a broiler flock that was challenged at 6 days of age with 1 × 107cfu of a nalidixic acid resistant strain of Salmonella Enteritidis to establish a high litter prevalence of S. In Experiment 2, sampling occurred after a subsequent flock was raised on the same litter. In Experiment 1, S was detected by RS less frequently (81%) than DS (95%), BC (97%), and LG (98%; P < 0.0001). In Experiment 2, S detection using RS (23%) was similar to LG (17%), higher than DS (6%, P = 0.022), and lower than BC (55%, P < 0.0001). Although RS were a less sensitive sampling method when the litter prevalence of S was high, RS were equivalent to or better than LG and DS methods when S prevalence was low. The use of roller swabs allows for sampling of litter without entering each pen and has the potential to be utilized for Salmonella detection in research pen trials

Seaflux

High-resolution surface fluxes over the global ocean are needed to evaluate coupled atmosphere–ocean models and weather forecasting models, provide surface forcing for ocean models, understand the regional and temporal variations of the exchange of heat between the atmosphere and ocean, and provide a large-scale context for field experiments. Under the auspices of the World Climate Research Programme (WCRP) Global Energy and Water Cycle Experiment (GEWEX) Radiation Panel, the SEAFLUX Project has been initiated to investigate producing a high-resolution satellite-based dataset of surface turbulent fluxes over the global oceans to complement the existing products for surface radiation fluxes and precipitation. The SEAFLUX Project includes the following elements: a library of in situ data, with collocated satellite data to be used in the evaluation and improvement of global flux products; organized intercom-parison projects, to evaluate and improve bulk flux models and determination from the satellite of the input parameters; and coordinated evaluation of the flux products in the context of applications, such as forcing ocean models and evaluation of coupled atmosphere–ocean models. The objective of this paper is to present an overview of the status of global ocean surface flux products, the methodology being used by SEAFLUX, and the prospects for improvement of satellite-derived flux products

Surface In situ Datasets for Marine Climatological Applications

Climatological products are required for monitoring and studying global climate change and accurately identifying secular trends over the past two centuries. These products require consistent and well-characterised observational data and metadata from the earliest ship observations and from the modern ocean observing system. Maintaining and developing long-term surface marine climatological datasets requires a different approach to data management than for operational applications. The current management of climatological datasets is discussed and specific modernization steps recommended. The status of relevant in situ observing systems is reviewed in the context of available satellite data. The extent to which requirements for maintaining sampling, redundancy, and consistency are met by existing data delivery mechanisms is considered. Recommendations include: data and metadata rescue; maintaining consistency with the historical record; modernization of data flow and climatological products; for observations with added-value through improved metadata, quality control and uncertainty characterization; and improved dataset construction methods

Observations to Quantify Air-Sea Fluxes and Their Role in Climate Variability and Predictability

Flux products quantifying exchanges between ocean and atmosphere are needed for forcing models, understanding ocean dynamics, investigating the ocean’s role in climate, and assessing coupled models. Research experiments are essential to improve flux parameterizations, and longer research deployments are required to sample rare events. Urgently needed technological improvements include longer battery life, more robust sensors and improvement of sensors for humidity, precipitation and direct gas and particle fluxes. A range of different flux products are needed, incorporating data from ships, satellites and models in different combinations and using different methods. All products must be characterized with uncertainty estimates. Dataset validation requires high quality observations from ocean flux reference sites and from ships. The continued development of flux products from satellites provides much-needed sampling. Continual intercomparisons among products and with high quality observations will lead to improved flux datasets, while improvements to the flux data management system would facilitate these intercomparisons

Automated Underway Oceanic and Atmospheric Measurements from Ships

Merchant, cruise, and research vessels make unique contributions to marine data collection using automated oceanic and atmospheric monitoring systems. The programs making these observations are reviewed along with the wide range of applications to atmospheric and oceanic research and operations. A vision for the next decade outlines where incremental improvements to instruments, platforms, and data stewardship can benefit the community. A series of recommendations are made to meet the challenges of future-ocean observing