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
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
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
Malgorzata Stramska, Marta Konik, Paulina Aniskiewicz, Jaromir Jakacki, Miroslaw Darecki
Summary: This study compared satellite data and model reanalysis data with in situ measurements in the Baltic Sea, finding good agreement for SST but large errors for Chl concentrations. Regional algorithm tuning showed smaller errors and better agreement with in situ data, emphasizing the importance of continuous regional validation for chlorophyll satellite algorithms in the Baltic Sea.
Article
Geosciences, Multidisciplinary
Yaozhi Jiang, Kun Yang, Youcun Qi, Xu Zhou, Jie He, Hui Lu, Xin Li, Yingying Chen, Xiaodong Li, Bingrong Zhou, Ali Mamtimin, Changkun Shao, Xiaogang Ma, Jiaxin Tian, Jianhong Zhou
Summary: This study produced a high-resolution long-term precipitation dataset (TPHiPr) for the Third Pole region by merging atmospheric simulation-based ERA5_CNN and gauge observations. The dataset showed higher accuracy and better detection of precipitation extremes compared to widely used datasets. It has broad applications in meteorological, hydrological, and ecological studies.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Environmental Sciences
Michela Sammartino, Salvatore Aronica, Rosalia Santoleri, Bruno Buongiorno Nardelli
Summary: Sea surface salinity is an important climate variable that impacts ocean circulation, the water cycle, and biogeochemistry. This study presents a new daily dataset of sea surface salinity in the Mediterranean Sea, which shows improved performance compared to existing products. The research also identifies a significant increase in salinification, particularly in the Eastern Mediterranean Sea.
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
Environmental Sciences
Xinhua Wang, Qianguo Xing, Deyu An, Ling Meng, Xiangyang Zheng, Bo Jiang, Hailong Liu
Summary: This study assessed the impact of spatial resolution on the observation of floating macroalgae blooms using various satellite images, showing that high resolution images detect smaller areas but larger affected zones than low resolution images. Omission rates increase with decreasing spatial resolution. The use of high resolution satellite images is recommended to reduce overestimation and omission effects.
Article
Geochemistry & Geophysics
Takashi Maeda, Naoya Tomii, Mieko Seki, Keiji Sekiya, Yuji Taniguchi, Akira Shibata
Summary: The AMSR3 mission aims to extend the detection range of sea surface temperature to at least 20 km from the coast, while mitigating the effects of weather, by primarily utilizing a data processing approach.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geography, Physical
Qi Zeng, Jie Cheng
Summary: This study utilizes time extension methods to estimate high-spatial resolution surface daily longwave radiation, with the linear sine interpolation method showing the best performance. Adjusting the day length improves the accuracy of daily longwave radiation estimations.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Chemistry, Analytical
Xuelin Zhang, Yufan Zhou, Ying Chen, Ming Li, Haitao Yu, Xinxin Li
Summary: Transmission electron microscopy (TEM) is an effective method for analyzing and characterizing material structures. However, it is limited to static structures at room temperature in a high-vacuum environment. A microchip based on MEMS technology has been developed to address this limitation, allowing real-time study of material structure evolution and chemical processes in gas and high-temperature environments. Tests show that the microchip ensures high-temperature uniformity and achieves high resolution even in a flowing atmosphere.
Article
Meteorology & Atmospheric Sciences
Antoni Grau, Maria A. Jimenez, Joan Cuxart
Summary: The study analyzed the physical mechanisms under sea-breeze conditions in the Palma basin and found that the surface temperature difference is maximal during summer, with sea-breeze events mainly occurring during warm months. The morning reversal strongly depends on large-scale wind speed and direction.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Environmental Sciences
Filipe Aires, Eulalie Boucher, Victor Pellet
Summary: Traditional Neural Networks have been widely used in satellite remote sensing for the past 25 years. However, new neural architectures like Convolutional Neural Networks have shown great potential in high resolution image processing tasks such as classification and segmentation. The study demonstrates that CNNs can be beneficial for coarse resolution instruments under specific conditions, such as when the variable being detected has spatial coherence and instrument noise exceeds a certain threshold at the pixel scale.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Yiliang Du, Quan J. J. Wang, Chun-Hsu Su, Wenyan Wu, Qichun Yang
Summary: Spatial information of climatological frequency distribution of daily precipitation is valuable but challenging to estimate accurately.The use of gridded daily precipitation dataset can lead to large errors when gauge density is low and most interpolation methods may result in poor estimation.Study proposes a method that postprocesses reanalysis data using accurate observations to eliminate the need for interpolation and improve estimation accuracy.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Aolin Jia, Dongdong Wang, Shunlin Liang, Jingjing Peng, Yunyue Yu
Summary: Land surface albedo plays a critical role in various aspects of Earth modeling and forecasting. This study introduces a new global land surface albedo climatology dataset that is more accurate and reliable than existing datasets, and is capable of capturing albedo variation over areas with distinct snow seasons.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)