Article
Geosciences, Multidisciplinary
Jonathan M. Lilly, Paula Perez-Brunius
Summary: A large dataset of historical surface drifter data from the Gulf of Mexico was collected, processed, and assimilated into a dataset called GulfFlow for studying circulation and variability in the region. The high-resolution mean surface current map obtained from GulfFlow provides a valuable resource, while direct bin-averaging of hourly drifter data was found to lead to severe artifacts due to the inhomogeneous temporal distribution of the drifters.
EARTH SYSTEM SCIENCE DATA
(2021)
Article
Environmental Sciences
Dmitry S. Dukhovskoy, Eric P. Chassignet, Alexandra Bozec, Steven L. Morey
Summary: This study uses a high-resolution regional forecast system to evaluate the predictability of the Loop Current (LC) system and assess the value of different observations. The experiments show that surface and subsurface observations have a significant impact on medium-range forecasts, while their impact on short-term forecasts is less prominent. By improving the accuracy of initialization, substantial improvements in forecasts up to 3 months can be achieved.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Junjie Dong, Luyu Sun, James A. Carton, Stephen G. Penny
Summary: This study extends previous work by Sun and Penny and Sun et al. to improve the analysis of the ocean by including path information from surface drifters using an augmented-state Lagrangian data assimilation. The study focuses on the Gulf of Mexico during Hurricane Isaac in 2012 and uses a regional ocean model to quantify improvements in sea surface velocity, temperature, and height analysis. By assimilating drifter positions and vertical profiles, the study shows significant improvements in analyzing the ocean state under hurricane conditions, which can also be applicable to other tropical oceans.
MONTHLY WEATHER REVIEW
(2023)
Article
Marine & Freshwater Biology
Mohammadreza Khanarmuei, Neda Mardani, Kabir Suara, Julius Sumihar, Scott W. McCue, Roy C. Sidle, Adrian McCallum, Richard J. Brown
Summary: The study showed that assimilation of Lagrangian data obtained from prompt deployment of drifters in estuaries can significantly improve the accuracy of model estimates for velocity fields by up to 54%.
ESTUARINE COASTAL AND SHELF SCIENCE
(2021)
Article
Environmental Sciences
Yingjie Li, Samuel V. J. Robinson, Lan H. Nguyen, Jianguo Liu
Summary: The increasing frequency and severity of coastal hypoxia pose a significant threat to marine ecosystems and human well-being. It is crucial to implement continuous and comprehensive monitoring using advanced tools to track spatial and temporal changes in coastal hypoxia. This study utilized satellite imagery and statistical modeling techniques to estimate the spatiotemporal dynamics of hypoxia in the Gulf of Mexico. The results revealed the influence of surface water processes on bottom water hypoxia, highlighting the need for considering time lags in hypoxia studies. Additionally, the study demonstrated the potential of satellite remote sensing for accurate and real-time hypoxia mapping.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Aerospace
S. Mulet, H. Etienne, M. Ballarotta, Y. Faugere, M. H. Rio, G. Dibarboure, N. Picot
Summary: Knowledge of ocean surface geostrophic circulation has been greatly improved through the combination of satellite observations and in situ data in the Gulf of Mexico. Pre-processing and multivariate objective analysis on drifter data have led to the generation of accurate maps of geostrophic current anomalies. The study also confirms the improved agreement of maps combining altimetry and drifter data, especially for the meridional component of geostrophic current.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Environmental Sciences
Jude L. Musuuza, Louise Crochemore, Ilias G. Pechlivanidis
Summary: Earth observations (EOs) are a valuable complement to in situ measurements in hydrology because they provide information in locations where direct measurements are unavailable or prohibitively expensive to make. Recent advances have enabled the assimilation of data sets of different physical variables into hydrological models to better estimate states and fluxes.
WATER RESOURCES RESEARCH
(2023)
Article
Oceanography
Heriberto J. Vazquez, Ganesh Gopalakrishnan, Julio Sheinbaum
Summary: This study investigates the impact of assimilating subsurface velocity observations from a tall mooring array in the Yucatan Channel on the circulation in the Gulf of Mexico. The results show that assimilating both moored and satellite data improves model hindcasts and forecasts.
JOURNAL OF PHYSICAL OCEANOGRAPHY
(2023)
Article
Meteorology & Atmospheric Sciences
P. Lean, E. V. Holm, M. Bonavita, N. Bormann, A. P. McNally, H. Jarvinen
Summary: The new ECMWF incremental 4D-Var data assimilation system configuration utilizes near-continuous stream of incoming observations, resulting in comparable analysis quality to traditional configurations and better performance in real-time forecasting applications. Continuous DA framework improved forecast accuracy by 2-3%, equivalent to 2-3 hours of additional predictive skill.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2021)
Article
Economics
Juan Agar, William C. Horrace, Christopher F. Parmeter
Summary: This study examines the impacts of individual fishing quota programs on overcapacity and technical efficiency in the Gulf of Mexico red snapper and grouper-tilefish fisheries. The findings show that a portion of the fleet could have harvested the entire red snapper quota and that the technical efficiency of the fleet improved after the implementation of the program.
ENVIRONMENTAL & RESOURCE ECONOMICS
(2022)
Review
Environmental Sciences
Vishwamithra Sunkara, Jason McKenna, Soumyashree Kar, Iliyan Iliev, Diana N. Bernstein
Summary: The latest advancements in sensor technology have increased their usage in marine science, leading to greater data volume and rates. This data-driven learning approach can aid policy makers in making effective decisions for marine environments. Machine learning techniques show promise for improving marine research, especially in large datasets, and there is growing interest in applying them to Gulf of Mexico (GOM) data. This paper reviews approaches and proposes solutions for studying GOM data, highlighting the need for more research on specific climate change problems and underserved areas like estuaries and oyster mortality.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Luyu Sun, Stephen G. Penny, Matthew Harrison
Summary: This study investigates the impact of an augmented-state Lagrangian data assimilation method using the local ensemble Kalman transform filter on a regional ocean data assimilation system. The results show that this method can provide more accurate estimates of ocean variables and perform better in estimating surface currents under special weather conditions.
MONTHLY WEATHER REVIEW
(2022)
Article
Computer Science, Interdisciplinary Applications
Minghua Lin, Baiquan Lin, Wei Yang, Yang Shen, Xiangliang Zhang, Tong Liu, Ting Liu, Fei Lin, Guang Xia
Summary: This study proposes a data assimilation method for blast load prediction based on experimental data-driven physical simulation. The method accurately measures the blast load by achieving an exact match between numerical calculation results and test far-field strain waves. The method is validated through rock blasting disturbance tests and is shown to have advantages in considering both the time-loading path and rock damping ratio.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Geosciences, Multidisciplinary
Jonathan M. Lilly, Paula Perez-Brunius
Summary: A new method for objectively extracting displacement signals associated with coherent eddies has been proposed and applied to a dataset of surface drifters from the Gulf of Mexico. The wavelet ridge analysis method was used to better detect eddies, and a means for assessing statistical significance was introduced to address false positives. Major asymmetries between cyclones and anticyclones were revealed in the Gulf of Mexico, with anticyclones dominating at larger radii but nonlinear cyclones dominating at smaller radii.
NONLINEAR PROCESSES IN GEOPHYSICS
(2021)
Article
Engineering, Marine
Chenyi Luo, Yanhui Wang, Ming Yang, Wendong Niu, Cheng Wang, Wei Ma, Shaoqiong Yang
Summary: This study identified the influence of glider motion on CTD data obtained by the GPCTD through theoretical analysis, simulations, and a field experiment. It is recommended for underwater gliders to maintain a slower platform speed and a relatively gentle operational attitude during observations. These findings are not only constructive for fine control of underwater gliders seeking high-quality CTD measurements, but also provide valuable guidance for subsequent data processing.
Review
Meteorology & Atmospheric Sciences
Wei Zhang, Yu Sun, Yapeng Wu, Junyu Dong, Xiaojiang Song, Zhiyi Gao, Renbo Pang, Boyu Guoan
Summary: This study employed a spatiotemporal deep-learning method to correct biases in numerical ocean wave forecasts. By using a correction model driven by both wave and wind fields and a novel pixel-switch loss function, the corrected results performed well in different seasons and improved the accuracy of the original forecasts.