Article
Environmental Sciences
Y. L. Mauzole
Summary: A novel method is introduced to objectively and automatically identify persistent thermal fronts across the ocean. By applying an algorithm to satellite observations, persistent sea surface temperature (SST) fronts can be located globally in an automated manner, leading to new insights in the study of frontal zones.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Bayoumy Mohamed, Frank Nilsen, Ragnheid Skogseth
Summary: This study examines the spatiotemporal evolution of marine heatwaves in the Barents Sea and finds that the region has experienced accelerated warming and an increase in the frequency and duration of marine heatwaves. The Eastern Atlantic Pattern is identified as a significant factor in controlling marine heatwave characteristics. These findings highlight the potential ecological and socio-economic consequences of marine heatwaves in the Barents Sea.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Meng Yang, Yubao Qiu, Lin Huang, Maoce Cheng, Jianguo Chen, Bin Cheng, Zhengxin Jiang
Summary: With global warming, the decrease in sea ice creates favorable conditions for Arctic activities. The study examines the temporal and spatial characteristics of sea surface temperature (SST) and sea ice concentration (SIC) in the Arctic above 60 degrees N and their relationship. It also calculates the melting and freezing time of sea ice. The results show variations in SST and SIC trends across different sea areas, with a significant negative correlation between Arctic SST and SIC. The study provides valuable information for predicting Arctic shipping and sea ice.
Article
Environmental Sciences
Runtai Zou, Li Wei, Lei Guan
Summary: In this paper, a transformer-based SST reconstruction model is proposed to improve the performance of super-resolution SST images derived from microwave SST data. The transformer model outperforms other deep learning super-resolution models in terms of various evaluation metrics.
Article
Environmental Sciences
Katarzyna Bradtke
Summary: Sea surface temperature (SST) is a key hydrological variable that can be monitored via satellite, with Landsat mission potentially providing high-resolution thermal data. In this study, over 1200 satellite granules and 12 time series of in situ measurements from the Baltic Sea were used to derive NLSST coefficients and evaluate the results, with the findings indicating potential biases in coastal NLSST coefficients.
Article
Geochemistry & Geophysics
Xuchen Jin, Xianqiang He, Yan Bai, Difeng Wang, Qiankun Zhu, Fang Gong, Delu Pan
Summary: This study proposes an approach to improve the spatial resolution of sea surface salinity (SSS) in estuarine areas through the combination of microwave and ocean color data. The model establishes a relationship between SSS and normalized sea surface emissivity and colored dissolved organic matter (CDOM), which is validated through in situ measurements. The results show enhanced SSS at high resolution compared to low resolution, improving the accuracy of satellite SSS observations over estuarine areas.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Cheng Zha, Weidong Min, Qing Han, Xin Xiong, Qi Wang, Qian Liu
Summary: Sea surface temperature (SST) prediction is of practical value in marine disaster prevention and mitigation. Most current methods only consider the temporal correlation of SST, neglecting the spatial correlation and resulting in low prediction accuracies. To overcome these issues, the multiple granularity spatiotemporal network (MGSN) is proposed, which extracts different temporal features, represents the degrees of dependence between historical SST and predicted SST, and achieves spatiotemporal prediction and fusion of the SST. Experimental results show improved prediction accuracy compared to the convolutional LSTM (ConvLSTM) method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Environmental Sciences
Sihun Jung, Cheolhee Yoo, Jungho Im
Summary: A novel two-step data fusion framework was proposed to generate high-resolution seamless daily sea surface temperature (SST) products from multi-satellite data sources, and its performance was evaluated over the Kuroshio Extension in the Northwest Pacific. The results showed promising results and the superiority of the proposed approach using multi-satellite data sources.
Article
Meteorology & Atmospheric Sciences
Wogu Zhong, Zhiwei Wu
Summary: This study investigates the subseasonal variations of wintertime surface air temperature (SAT) over Eurasia and identifies two leading modes of SAT changes: the Consistent Mode (C-Mode) and the Reversal Mode (R-Mode). The C-Mode is associated with an eastward shift of negative North Atlantic Oscillation (NAO) pattern, while the R-Mode is linked to large-scale circulation changes and low boundary forcing anomalies. The results show that the Arctic Oscillation (AO) and North Pacific sea surface temperature (SST) dipole pattern (NPDP) play crucial roles in predicting the R-Mode.
Article
Geosciences, Multidisciplinary
Boyin Huang, Zhaomin Wang, Xungang Yin, Anthony Arguez, Garrett Graham, Chunying Liu, Tom Smith, Huai-Min Zhang
Summary: Studies have shown that marine heatwaves in the Arctic are comparable with other regions globally, and in recent decades, there has been a significant increase in their intensity, frequency, duration, and areal coverage. These changes are closely related to increasing surface air temperature and decreasing sea-ice concentration under the global warming environment.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geography, Physical
Shichen Tao, Kefu Yu, Hongqiang Yan, Huiling Zhang, Luo Wang, Patrick Rioual, Qi Shi, Zhongzhou Huang, Tegu Chen
Summary: This study found that sea-level in the South China Sea experienced a slight decrease from 1850 to 1900, and has been continuously rising since 1900. The study also revealed the indirect influence of ENSO and human activities on sea-level, rainfall, and salinity in the South China Sea.
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
(2022)
Article
Environmental Sciences
Miaoyin Zhang, Xueming Zhu, Xuanliang Ji, Anmin Zhang, Jingjing Zheng
Summary: A three-dimensional model was used to study the seasonal and interannual variations of oceanic surface pCO(2) in the South China Sea. Results showed that the SCS acts as a source of atmospheric CO2 from March to October and a sink from November to February.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Geosciences, Multidisciplinary
M. Moon, K-J Ha
Summary: Approximately 25.6 tropical cyclones occur in the western North Pacific each year, with 3.4 affecting the Korean Peninsula. In 2019, a record of seven cyclones affected the Korean Peninsula. The study reveals that the sea surface temperature gradient plays a key role in influencing the atmospheric circulation patterns that lead to tropical cyclones affecting the Korean Peninsula.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Ru Yao, Weizeng Shao, Mengyu Hao, Juncheng Zuo, Song Hu
Summary: In this study, the WAVEWATCH-III model was employed to simulate global wave distributions, and the results were validated against measurement data. It was found that there is a strong seasonal relationship between currents, sea level anomalies, and significant wave heights (SWHs), and the growth of waves can slow down the amplitude of water warming.
Article
Environmental Sciences
Jorge Vazquez-Cuervo, Sandra L. Castro, Michael Steele, Chelle Gentemann, Jose Gomez-Valdes, Wenqing Tang
Summary: There is a high demand for complete satellite SST maps of the Arctic regions to monitor environmental changes. Although there are many L4 SST products to choose from, constant changes in satellite-based products make periodic validations necessary. This study compares eight L4 products with saildrone data and evaluates their accuracy and spatial variability. The NOAA/NCEI DOISST and the RSS MWOI SSTs consistently show better relative accuracy, while the UK Met Office OSTIA product outperforms others in reproducing fine-scale features. The high-resolution coverage of current satellite infrared technology is too sparse for high-resolution L4 SST products in high latitudinal regions.
Article
Meteorology & Atmospheric Sciences
Anitha Gera, Ankur Gupta, Ashis K. Mitra, Nagarjuna D. Rao, Imranali M. Momin, Madhavan N. Rajeeavan, Sean F. Milton, Gill M. Martin, Matthew J. Martin, Jennifer Waters, Daniel Lea
Summary: The study assesses the skill of the extended range prediction system (NERP) based on the Unified global coupled modelling system over India during the summer monsoon period. The model shows good prediction skill for rainfall anomaly forecasts in the short term, with moderate to good skill in some regions even in weeks 3-4. The model also accurately represents the variability of the monsoon seasonal cycle and the spatial distribution of summer monsoon rainfall peaks.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Tsz Yan Leung, Amos S. Lawless, Nancy K. Nichols, Daniel J. Lea, Matthew J. Martin
Summary: This study investigates the hybrid approach of combining traditional covariance modeling strategy with flow-dependent estimates of the ocean's error covariance structures in oceanic data assimilation. The experiments show that the hybrid approach produces time-varying, more anisotropic, and vertically less uniform analysis increments. Incorporating the hybrid oceanic covariances into a weakly coupled data assimilation system alters the sea-surface temperature along the cyclone's path and leads to further SST differences due to the different representations of the cyclone's cold wake.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Geosciences, Multidisciplinary
B. D. Dushaw, D. Menemenlis
Summary: An unconstrained global ocean simulation in 2020 confirms previous observations of diurnal internal tides by acoustic tomography in the Western North Atlantic. The simulation accurately reproduces the characteristics of K1 and O1 internal-tide standing waves, but shows deviations from observations in terms of barotropic and internal tides. The tomographic data provide a benchmark for improving the representation of tides, internal tides, and dissipation in models.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Multidisciplinary Sciences
Laura Carrea, Jean-Francois Cretaux, Xiaohan Liu, Yuhao Wu, Beatriz Calmettes, Claude R. Duguay, Christopher J. Merchant, Nick Selmes, Stefan G. H. Simis, Mark Warren, Herve Yesou, Dagmar Mueller, Dalin Jiang, Owen Embury, Muriel Berge-Nguyen, Clement Albergel
Summary: This dataset presents a consistent collection of satellite observations for lake surface water temperature, ice cover, water-leaving reflectance, water level, and extent. The observations span from 1992 to 2020 and cover over 2000 large lakes, representing a significant portion of global freshwater surface. The dataset, validated against in situ measurements, provides the most complete and consistent satellite observations of the Lakes Essential Climate Variable (ECV) available.
Article
Chemistry, Multidisciplinary
Xiangyu Chen, Shiyong Teng, Jinming Li, Xuezhi Qiao, Weidong Zhao, Zhengjie Xue, Xudong Shi, Yuguang Wang, Wensheng Yang, Tie Wang
Summary: Magnetic resonance imaging (MRI) contrast agents, such as Magnevist (Gd-DTPA), have limited blood circulation time due to rapid clearance by the kidney, which hinders the improvement of contrast between tumors and normal tissue. To address this issue, a novel MRI contrast agent using deformable mesoporous organosilica nanoparticles (D-MON) incorporating Gd-DTPA is fabricated. In vivo distribution studies show that the D-MON-based contrast agent can prolong blood circulation time and achieve high-contrast imaging in tumor tissue, surpassing the performance of the clinical contrast agent Gd-DTPA.
ADVANCED MATERIALS
(2023)
Article
Environmental Sciences
Claire E. Bulgin, Jennifer Mecking, Ben J. Harvey, Svetlana Jevrejeva, Niall F. McCarroll, Christopher J. Merchant, Bablu Sinha
Summary: Global sea-level rise from a warming climate increases flood risk from storm surges in coastal and low-lying areas. This study uses satellite observations and model projections to identify the drivers of dynamic sea-level changes over the UK shelf seas. The findings suggest that a northward shift in the atmospheric jet stream and a weakening of the Atlantic meridional overturning circulation are key factors influencing local sea-level variability.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
C. Bertin, D. Carroll, D. Menemenlis, S. Dutkiewicz, H. Zhang, A. Matsuoka, S. Tank, M. Manizza, C. E. Miller, M. Babin, A. Mangin, V. Le Fouest
Summary: Arctic warming changes the fluxes of nutrients and organic matter from land to sea, affecting air-sea carbon exchange. Using a biogeochemical model, this study examines the role of Mackenzie River discharge in modulating air-sea CO2 fluxes in the southeastern Beaufort Sea from 2000 to 2019. The discharge of six chemical constituents leads to a net CO2 outgassing of 0.13 TgC yr(-1) and a decrease in the coastal carbon sink due to riverine dissolved organic and inorganic carbon. The results indicate that the Mackenzie River influences the capacity of the southeastern Beaufort Sea to act as a sink or source of atmospheric CO2. Accurate representation of land-to-sea biogeochemical coupling is crucial for understanding the Arctic coastal ocean response to the rapidly changing environment.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Engineering, Civil
Hongkang Zhao, Yaping Dai, Jun Yang, Youzhen Fang, Chengjie Mi, Lingchen Yang, Guojian Li
Summary: In order to improve the seismic performance of precast reinforced concrete structures, a superimposed slab shear wall with innovative construction details was proposed. Five innovative superimposed slab shear walls and one cast-in-place concrete shear wall were designed and tested, considering the effect of axial compression. The results showed that the innovative superimposed slab shear walls had a higher strength capacity and lower lateral-resistant stiffness than the cast-in-place concrete shear wall. The peak strength capacity of the superimposed slab shear wall increased obviously with the enlargement in the axial compression ratio, but degraded rapidly after the peak load. This investigation provides valuable data for future structural seismic performance evaluations and applications of precast superimposed slab shear wall structures.
KSCE JOURNAL OF CIVIL ENGINEERING
(2023)
Article
Environmental Sciences
Claire E. Bulgin, Agnieszka Faulkner, Christopher J. Merchant, Gary K. Corlett, Niall McCarroll, Owen Embury, Edward Polehampton, Connor McGurk
Summary: This paper presents new approaches to utilizing reflectance imagery for sea surface temperature (SST) remote sensing and improving cloud detection in infrared images. By averaging and calculating the standard deviation of the nearest reflectance observations, the authors were able to enhance the discrimination of clouds in the infrared image. The results show significant improvements in coastal areas and around ocean fronts, leading to increased accuracy and coverage of SST measurements.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Orthopedics
Chuwei Tian, Huanyi Zhu, Liu Shi, Xiangxu Chen, Tian Xie, Yunfeng Rui
Summary: The aim of this study was to evaluate the effects of Friday admission on mortality and clinical outcomes in elderly patients with hip fractures. The study found that Friday admission had no effect on mortality and outcomes, but it may lead to delayed surgery.
ORTHOPAEDIC SURGERY
(2023)
Article
Oceanography
Manfredi Manizza, Dustin Carroll, Dimitris Menemenlis, Hong Zhang, Charles E. Miller
Summary: In recent decades, changes in sea-ice seasonality in the Arctic Ocean (AO) have had significant impacts on the phenology of phytoplankton blooms. Early sea-ice melt triggers earlier blooms, while delayed formation of sea ice leads to second fall blooms. These changes could have important consequences for Arctic marine ecosystems in a warmer and changing climate.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Environmental Sciences
Hector Torres, Alexander Wineteer, Patrice Klein, Tong Lee, Jinbo Wang, Ernesto Rodriguez, Dimitris Menemenlis, Hong Zhang
Summary: The kinetic energy transfer between the atmosphere and oceans, known as wind work, plays a significant role in ocean dynamics. Recent numerical estimates have shown a nearly fivefold increase in global wind work amplitude compared to those reported a decade ago due to the inclusion of a broader range of spatial and temporal scales. However, existing satellite observations do not fully capture this range. The ODYSEA satellite mission, which utilizes a wide-swath measurement approach, performs well in estimating wind work globally, except at latitudes north of 40 degrees N during summer.
Article
Environmental Sciences
Jinbo Wang, Hector Torres, Patrice Klein, Alexander Wineteer, Hong Zhang, Dimitris Menemenlis, Clement Ubelmann, Ernesto Rodriguez
Summary: Near Inertial Oscillations (NIOs) are ocean oscillations forced by intermittent winds, most active at mid-latitudes. This study assesses the potential of a new satellite mission concept, OSYSEA, to recover wind-forced NIOs from co-located winds and currents. Results show that NIOs can be accurately recovered using the ODYSEA spatial and temporal resolution.
Article
Astronomy & Astrophysics
V. H. F. Neo, J. Zinke, T. Fung, C. J. Merchant, K. J. A. Zawada, H. Krawczyk, J. M. Maina
Summary: Coral reefs are at risk of accelerated decline due to climate change-induced changes, and it is uncertain if the Sea Surface Temperature data used for coral reef studies are consistent among different data products. Understanding the consistency among different SST data sources can help improve monitoring and understanding of the impact of global warming on coral reefs. The study compares four types of SST data and highlights the need to compare existing indicators of thermal stress from different data sets. Rating: 8/10
EARTH AND SPACE SCIENCE
(2023)
Article
Geochemistry & Geophysics
Mingkun Liu, Christopher J. Merchant, Owen Embury, Jianqiang Liu, Qingjun Song, Lei Guan
Summary: The Bayesian cloud detection and optimal estimation (OE) SST retrieval algorithm was applied to reprocess the Haiyang-1B (HY-1B) COCTS SST data. The results showed that this algorithm successfully improved the accuracy of COCTS SST and demonstrated the potential for developing SST products for operational HY-1 satellites: HY-1C and HY-1D.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
