Hurricane interaction with the upper ocean in the Amazon-Orinoco plume region

Androulidakis, Yannis; Kourafalou, Vassiliki H.; Halliwell, George R.; Hénaff, Matthieu Le; Kang, Hee-Sook; Mehari, Michael; Atlas, Robert

doi:10.1007/s10236-016-0997-0

Cited by 27 publications

(28 citation statements)

References 75 publications

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“…The system was initially set up and evaluated in the Gulf of Mexico (Halliwell et al, 2014), and then was expanded into a larger Atlantic domain (5 • S to 45 • N, extending east to 20 • W). Rigorous validation of the Atlantic system is presented in Kourafalou et al (2016), Androulidakis et al (2016), and Halliwell et al (2017).…”

Section: Osses For Evaluating An Underwater Glider Array In Western Nmentioning

confidence: 99%

Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks

et al. 2019

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This paper summarizes recent efforts on Observing System Evaluation (OS-Eval) by the Ocean Data Assimilation and Prediction (ODAP) communities such as GODAE OceanView and CLIVAR-GSOP. It provides some examples of existing OS-Eval methodologies, and attempts to discuss the potential and limitation of the existing approaches. Observing System Experiment (OSE) studies illustrate the impacts of the severe decrease in the number of TAO buoys during 2012-2014 and TRITON buoys since 2013 on ODAP system performance. Multi-system evaluation of the impacts of assimilating satellite sea surface salinity data based on OSEs has been performed to demonstrate the need to continue and enhance satellite salinity missions. Impacts of underwater gliders have been assessed using Observing System Simulation Experiments (OSSEs) to provide guidance on the effective coordination of the western North Atlantic observing system elements. OSSEs are also being performed under H2020 AtlantOS Fujii et al.Observing System Evaluation project with the goal to enhance and optimize the Atlantic in-situ networks. Potential of future satellite missions of wide-swath altimetry and surface ocean currents monitoring is explored through OSSEs and evaluation of Degrees of Freedom for Signal (DFS). Forecast Sensitivity Observation Impacts (FSOI) are routinely evaluated for monitoring the ocean observation impacts in the US Navy's ODAP system. Perspectives on the extension of OS-Eval to coastal regions, the deep ocean, polar regions, coupled data assimilation, and biogeochemical applications are also presented. Based on the examples above, we identify the limitations of OS-Eval, indicating that the most significant limitation is reduction of robustness and reliability of the results due to their system-dependency. The difficulty of performing evaluation in near real time is also critical. A strategy to mitigate the limitation and to strengthen the impact of evaluations is discussed. In particular, we emphasize the importance of collaboration within the ODAP community for multi-system evaluation and of communication with ocean observational communities on the design of OS-Eval, required resources, and effective distribution of the results. Finally, we recommend further developing OS-Eval activities at international level with the support of the international ODAP (e.g., OceanPredict and CLIVAR-GSOP) and observational communities.

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Section: Osses For Evaluating An Underwater Glider Array In Western Nmentioning

confidence: 99%

Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks

et al. 2019

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“…Androulidakis et al . [] further demonstrated that the NR realistically reproduced the barrier layer associated with Amazon‐Oricono river discharge, enabling the barrier layer impact on the ocean response to several storms to be studied.…”

Section: Ocean Osse Systemmentioning

confidence: 99%

OSSE quantitative assessment of rapid‐response prestorm ocean surveys to improve coupled tropical cyclone prediction

Halliwell¹,

Mehari

Shay

et al. 2017

JGR Oceans

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Ocean fields that initialize coupled TC prediction models must accurately represent the dynamics of mesoscale features and the associated distribution of upper ocean temperature and salinity. They must also provide unbiased realizations of upper ocean heat content and stratification. Ocean Observing System Simulation Experiments (OSSEs) are performed for three storms: Isaac, 2012; Edouard, 2014; and Gonzalo, 2014. These OSSEs assess the impact of rapid‐response prestorm ocean profile surveys on improving ocean model initialization. Two types of surveys are evaluated: airborne deployments of expendable profilers and deployments of in situ thermistor chains along lines intersecting predicted storm paths. Assimilation of the existing ocean observing system substantially constrains mesoscale structure in dynamical fields, primarily because of the four available altimeters. However, these observations only modestly constrain mesoscale structure and bias in upper ocean thermal fields. Adding rapid‐response airborne surveys to these observing systems produces substantial additional correction in thermal fields, but minimal additional correction in dynamical fields. Without altimetry assimilation, rapid‐response profiles produce large additional correction in both dynamical and thermal fields. Airborne CTDs sampling temperature and salinity over 1000 m versus XBTs sampling temperature over 400 m produce additional correction for dynamical fields, but not for upper ocean thermal fields. Airborne surveys are generally more effective than thermistor chain deployments because they can sample a larger area at higher horizontal resolution and because the latter only measures temperature over the upper ∼100 m. Both airborne profile surveys and thermistor chain deployments effectively reduce upper ocean thermal biases.

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“…The present analysis uses a new ocean OSSE system recently expanded to cover the North Atlantic hurricane region ( Figure 1) to specifically assess observing system impacts with respect to improving ocean model initialisation for TC prediction. Evaluation and validation of the system NR with respect to representing the 'truth' has already been conducted (Androulidakis et al 2016;Kourafalou et al 2016). Results from the two additional steps required for OSSE system validation and calibration are presented herein prior to describing the impact assessments.…”

Section: Introductionmentioning

confidence: 99%

“…Errors added to the synthetic observations are summarised. Kourafalou et al (2016) and Androulidakis et al (2016). The NR is not expected to be accurate in all aspects; for example, it is not likely to accurately reproduce deep ocean flow.…”

Section: Introductionmentioning

confidence: 99%

“…However, the evaluation demonstrated that it accurately reproduces the climatology and variability of upperocean fields in the North Atlantic hurricane region that are important to the TC prediction problem. In particular, SST and sea surface salinity (SSS) comparisons with satellite, ARGO, and NDBC data, especially during periods and over areas of TC-ocean interaction, showed significantly high skill scores (Androulidakis et al 2016;Kourafalou et al 2016). The simulated surface circulation was deemed to be realistic in comparison to maps generated from surface drifters from the Global Drifter Program and also from Archiving, Validation, and Interpretation of Satellite Oceanographic (AVISO) altimetry data, while eddy kinetic eddy levels also were realistic (Kourafalou et al 2016).…”

Section: Introductionmentioning

confidence: 99%

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North Atlantic Ocean OSSE system: Evaluation of operational ocean observing system components and supplemental seasonal observations for potentially improving tropical cyclone prediction in coupled systems

Halliwell

Mehari

Hénaff

et al. 2017

Journal of Operational Oceanography

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Hurricane interaction with the upper ocean in the Amazon-Orinoco plume region

Cited by 27 publications

References 75 publications

Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks

Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks

OSSE quantitative assessment of rapid‐response prestorm ocean surveys to improve coupled tropical cyclone prediction

North Atlantic Ocean OSSE system: Evaluation of operational ocean observing system components and supplemental seasonal observations for potentially improving tropical cyclone prediction in coupled systems

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