Article
Environmental Sciences
Jaclyn Gehring, Bhavya Duvvuri, Edward Beighley
Summary: This study presents a method for estimating river discharge using satellite data and river characteristics, and improves the estimation accuracy by optimizing parameters. The results show that the optimized characteristics provide better discharge estimates than using mean discharge.
Article
Environmental Sciences
Md Safat Sikder, Matthew Bonnema, Charlotte M. Emery, Cedric H. David, Peirong Lin, Ming Pan, Sylvain Biancamaria, Michelle M. Gierach
Summary: This study examines how satellite radar altimetry can capture global discharge distributions and generates an idealized synthetic global discharge dataset. It found that most orbits can lead to accurate global mean flow distribution, but accurate distributions of minimum flow and maximum flow require more frequent revisit times.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Aerospace
Florence Marti, Anny Cazenave, Florence Birol, Marcello Passaro, Fabien Leger, Fernando Nino, Rafael Almar, Jerome Benveniste, Jean Francois Legeais
Summary: This study presents contemporary coastal sea level changes in Western Africa based on a reprocessing of satellite altimetry data, showing significant differences in sea level trends near the coast compared to offshore.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Multidisciplinary Sciences
Callum Munday, Nicholas Savage, Richard G. Jones, Richard Washington
Summary: The aridification of East Africa during the past 8 million years is often considered as a driving force behind changes in vegetation and the evolution of new animal lineages, including hominins. This study uses numerical model experiments to show that the valleys in the East African Rift System play a central role in creating dry conditions in East Africa. These valleys channel water vapor towards Central Africa, resulting in increased rainfall in the Congo Basin rainforest and drier conditions in East Africa. The findings suggest that the tectonic development of Africa has shaped rainfall distribution and influenced the evolution of African plant and animal lineages.
Article
Engineering, Civil
Rossella Belloni, Stefania Camici, Angelica Tarpanelli
Summary: This study utilizes satellite altimetry water level data to establish a consistent and up-to-date river discharge dataset through rating curves, which is then used to analyze trends in extreme hydrological events. By extracting peak-over threshold values from the discharge time series, areas prone to floods or drought can be identified, allowing for appropriate actions to mitigate disaster risk.
JOURNAL OF HYDROLOGY
(2021)
Article
Water Resources
Chi-Ming Lee, Chung -Yen Kuo, Chi-Hua Yang, Huan-Chin Kao, Kuo-Hsin Tseng, Wen-Hau Lan
Summary: This study utilized Landsat imagery and satellite altimetry to monitor the long-term variations of water level and water volume in Tsengwen Reservoir, Taiwan. The results demonstrated that the integration of multi-source remote sensing technologies can effectively provide accurate hydrological parameters for water resources management.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Geosciences, Multidisciplinary
Liguang Jiang, Silja Westphal Christensen, Peter Bauer-Gottwein
Summary: This study introduces a parameterization of 1D hydrodynamic models by combining cross-section geometry and roughness into one conveyance parameter. By using satellite observations of river width and water surface elevation, the feasibility and performance of this method are illustrated. This approach allows for calibrating flow area and conveyance curves in the absence of direct observations of bathymetry and hydraulic roughness.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Environmental Sciences
Ayalkibet Mekonnen Seka, Jiahua Zhang, Da Zhang, Elias Gebeyehu Ayele, Jiaqi Han, Foyez Ahmed Prodhan, Guoping Zhang, Qi Liu
Summary: This study utilizes water storage deficit index to analyze the holistic representation of drought and evaluates drought events in five lake basins in East Africa. The results show that this approach can effectively identify and estimate drought events, and there is a significant correlation in most lake basins. The study also finds that anthropogenic forcing has increased the peak deficits and identifies the longest deficit period and highest severity value in certain basins.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
C. J. Ebinger, Miriam C. Reiss, Ian Bastow, Mary M. Karanja
Summary: The East African rift system is formed above mantle upwellings and the formation of rifts is related to lithospheric thinning and magmatic activity. The amount of splitting varies spatially and the fast axes are predominantly parallel to the orientation of the rifts. Thick lithospheric modules have less splitting and different orientations, which may indicate mantle plume flow. Splitting rotates and increases in strength as it enters the rift zones, suggesting that the anisotropy is mainly present at shallow depths.
EARTH AND PLANETARY SCIENCE LETTERS
(2024)
Article
Oceanography
Zhongxiang Zhao, Bo Qiu
Summary: Satellite altimetry sea surface height measurements spanning from 1993 to 2017 were used to analyze the seasonal variability of mode-1 M-2 internal tides in the Luzon Strait. Through the mapping procedure and utilizing climatological seasonal hydrography data, four seasonal internal tide models were constructed. The results show that both the westward and eastward M-2 internal tides exhibit significant seasonal variation, with a seesaw pattern between the two directions. This seasonal seesaw is likely influenced by ocean stratification and the Kuroshio Current, but further research is needed to quantify their relative contributions.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Engineering, Civil
Hui Li, Jinyong Zhang, Xiaobin Cai, Heqing Huang, Lunche Wang
Summary: The study evaluates the capacity of ICESat-2 to retrieve water levels of medium to small rivers and proposes a water level retrieval algorithm based on geolocated photon data. The results confirm the accuracy of ICESat-2 and highlight its significance in enhancing hydrological studies and water resource management.
JOURNAL OF HYDROLOGY
(2023)
Article
Geochemistry & Geophysics
Lachlan J. M. Wright, Christopher A. Scholz, James D. Muirhead, Donna J. Shillington
Summary: This study characterizes the faulting patterns in the Malawi (Nyasa) Rift using multiple offshore seismic reflection data sets and age-dated drill core. The results indicate that intra-rift faults play a crucial role in rift basin development and should be considered in seismic hazard assessments.
Article
Oceanography
Sophie Stolzenberger, Roelof Rietbroek, Claudia Wekerle, Bernd Uebbing, Juergen Kusche
Summary: This study explores the visibility of Greenland melting signatures in observations. It finds that Greenland freshwater flux affects temperature and salinity, especially in the vicinity of Greenland, and the melting signatures are particularly visible in steric heights in Baffin Bay and Davis Strait.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2022)
Article
Microbiology
Carien van den Bergh, Peter N. Thompson, Robert Swanepoel, Antonio P. G. Almeida, Janusz T. Paweska, Petrus Jansen van Vuren, William C. Wilson, Alan Kemp, Estelle H. Venter
Summary: Rift Valley fever virus (RVFV) is a mosquito-borne, zoonotic phlebovirus-causing disease that affects domestic ruminants and humans in certain regions of Africa, the Arabian Peninsula, and Indian Ocean islands. This study tested mosquitoes collected in Ndumo, South Africa and found RVFV in a single pool of Aedes (Aedimorphus) durbanensis, suggesting its potential role as a vector in this region. Phylogenetic analysis revealed a close relationship between the identified virus and isolates from earlier outbreaks in the central South Africa, indicating long-term endemicity in the area. Further research is needed to understand the eco-epidemiology of RVFV and its associated vectors in the eastern tropical coastal region of southern Africa.
Article
Geosciences, Multidisciplinary
Vasaw Tripathi, Andreas Groh, Martin Horwath, Raaj Ramsankaran
Summary: This study explores the traditional basin and grid scaling approaches and develops a novel frequency-dependent scaling method for leakage correction in GRACE TWSC observations. The frequency-dependent scaling outperforms traditional methods and provides a robust estimate of the seasonal cycle of TWSC in the Indus Basin.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Lei Yin, Fan Ping, Jiahua Mao, Shuanggen Jin
Summary: The record-breaking heavy rainfall event in Zhengzhou in July 2021 was simulated using a weather research and forecasting model. The study analyzed the large-scale precipitation efficiency and cloud-microphysical precipitation efficiency of the rainfall, and explored the key factors and mechanisms influencing the extreme rainfall. The results showed that water vapor flux convergence and microphysical processes played significant roles in the rainfall.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Engineering, Civil
Zhijie Zhang, Yanchen Bo, Shuanggen Jin, Guodong Chen, Zhounan Dong
Summary: This study optimized the data quality control procedure and integrated GEDI and ICESat-2 data to construct a temporal water-level dataset. The results revealed significant seasonal and inter-annual variations in lake water levels, which showed high consistency with other datasets. The combined dataset provides a valuable resource for hydrological and climatic change studies.
JOURNAL OF HYDROLOGY
(2023)
Article
Geochemistry & Geophysics
Sheng Liu, Xiangyun Wan, Shuanggen Jin, Bin Jia, Songbai Xuan, Quan Lou, Binbin Qin, Rongfu Peng, Dali Sun
Summary: This paper develops a fast cross-gradient joint inversion method for gravity and magnetic data to interpret the internal structure of the Earth. The method achieves structural coupling and improves computational efficiency by solving the gradients of the physical property models and performing cross-product calculations.
GEODESY AND GEODYNAMICS
(2023)
Article
Remote Sensing
Yu Wang, Shuanggen Jin
Summary: This study shows that assimilating GNSS radio occultation (RO) data into weather models can improve the accuracy of predicting extreme heavy rainfall. The impact of using GNOS data from FY-3C satellite is also investigated, and it is found to significantly enhance the prediction of the record-breaking rainfall.
Article
Environmental Sciences
Sayyed Mohammad Javad Mirzadeh, Shuanggen Jin, Meisam Amani
Summary: In this study, the spatial-temporal changes of the Abarkuh Playa in Central Iran were explored using the time series of the Sentinel-1 backscatter dataset in three scales. The results showed that the western area of the Abarkuh Playa has transformed into other landforms with different characteristics. The spatial-temporal analysis of the backscatter data revealed the association between backscatter variations and direct rainfall, as well as changes in soil moisture content.
Article
Environmental Sciences
Jiarui Zhao, Shuanggen Jin, Yuanyuan Zhang
Summary: In this study, inversion models for total nitrogen (TN) and total phosphorus (TP) in the main stream of the Yangtze River were obtained and validated using multi-source remote sensing data. The joint inversion models showed higher accuracy than the single-satellite inversion models. The water quality changes from 2019 to 2021 in the Yangtze River were analyzed, revealing high TN and TP levels in the upstream and downstream, poor water quality in spring and autumn, and overall improvement in water quality with most of it classified as Class III. Additionally, a negative correlation was found between TN and TP concentrations and water level, temperature, and flow in the Jiujiang area, with water level showing the highest correlation.
Article
Environmental Sciences
Zhounan Dong, Shuanggen Jin, Guodong Chen, Peng Wang
Summary: Spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) has been proved to be an effective tool for monitoring Earth's surface soil moisture (SSM). However, the accuracy of GNSS-R SSM estimation is affected by surface vegetation and roughness. In this study, the sensitivity of delay Doppler map (DDM)-derived effective reflectivity to SSM is analyzed and validated. The results demonstrate that the accuracy of SSM retrieved by GNSS-R is improved with correcting vegetation over different types of vegetation-covered areas.
Article
Environmental Sciences
Farzane Mohseni, Meisam Amani, Pegah Mohammadpour, Mohammad Kakooei, Shuanggen Jin, Armin Moghimi
Summary: In this study, a wetland map of the GL region was created using Sentinel-1/2 datasets and the Google Earth Engine. A supervised machine learning classification workflow was used, with two main steps to accurately classify wetland and non-wetland areas. The overall accuracy and kappa coefficient of the classification results demonstrated the effectiveness of the proposed method.
Article
Environmental Sciences
Sayyed Hamed Alizadeh Moghaddam, Saeed Gazor, Fahime Karami, Meisam Amani, Shuanggen Jin
Summary: This paper proposes an unsupervised feature extraction algorithm for hyperspectral images, which involves extracting endmembers and clustering spectral bands. The proposed method reduces the dimensionality of the data and shows superior performance in classification accuracy compared with other dimension reduction algorithms.
Article
Environmental Sciences
Meisam Amani, Fatemeh Foroughnia, Armin Moghimi, Sahel Mahdavi, Shuanggen Jin
Summary: Progress is being made in habitat protection using satellite imagery and machine-learning models. Remote sensing datasets can discriminate habitat types and landscape structures. This study introduces a new approach to creating 3D habitat maps using high-resolution multispectral images and LiDAR-derived Digital Surface Models (DSMs) with an object-based Random Forest algorithm.
Article
Environmental Sciences
Yuanyuan Yang, Shuanggen Jin
Summary: This paper constructs and evaluates the inversion models of total phosphorus (TP) and total nitrogen (TN) in the upper, middle, and lower reaches of the Yangtze River using satellite remote sensing. The monthly variations of TP and TN concentrations in the mainstream of the Yangtze River from 2016 to 2022 are estimated and analyzed. The results show that the neural networks (NNs) model exhibits better estimation performance and the concentrations of TN and TP exhibit an overall downward trend. The possible causes of water quality changes in the mainstream of the Yangtze River are also discussed, with a specific focus on hydrometeorological factors.
Article
Geochemistry & Geophysics
Sayyed Mohammad Javad Mirzadeh, Shuanggen Jin, Estelle Chaussard, Roland Burgmann, Abolfazl Rezaei, Saba Ghotbi, Andreas Braun
Summary: Tracking the inelastic deformation of an aquifer is crucial for understanding the stress it experiences and evaluating the impact of extraction practices in a region's hydrogeological setting. However, monitoring the transition from elastic to inelastic deformation is challenging, especially in a dry climate like the Abarkuh Plain (AP). In this study, we used multi-sensor Interferometric Synthetic Aperture Radar data from 2003 to 2020 to define the confined extent of the aquifer system and track the spatial evolution of inelastic deformation in central Iran. Our findings indicate that previously unaffected areas are now experiencing inelastic deformation, resulting in irreversible subsidence and aquifer storage loss. The thickness of compacted clay units and declining water heads within the confined extents of the aquifer system play significant roles in controlling and driving long-term compaction.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Geochemistry & Geophysics
Tengli Yu, Ershen Wang, Shuanggen Jin, Yong Wang, Jing Huang, Xiao Liu, Wei Zhan
Summary: By quantitatively analyzing the response patterns of GNSS ZTD to ENSO events, the prediction accuracy of ENSO events can be improved. A forecasting model is proposed that can predict ENSO events in the next 24 months.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Mohamed Zhran, Ashraf Mousa, Fahad Alshehri, Shuanggen Jin
Summary: This study investigates four different techniques for identifying the tropopause and evaluates their effectiveness using GNSS Radio Occultation (RO) data. The results show that the cold point tropopause (CPT) height is valid in tropical regions, and the tropopause height based on bending angle (TPH alpha) has the largest value. The identification of the tropopause is crucial for the transfer of mass and energy in the atmosphere.
Review
Engineering, Electrical & Electronic
Reza Mohammadi Asiyabi, Arsalan Ghorbanian, Shaahin Nazarpour Tameh, Meisam Amani, Shuanggen Jin, Ali Mohammadzadeh
Summary: This article explores the applications of synthetic aperture radar (SAR) systems in ocean studies. It provides an introduction to SAR and the interaction between microwave signals and the ocean surface. It also summarizes the important spaceborne and airborne SAR systems for oceanographic applications. Additionally, it comprehensively discusses 12 different applications of SAR systems in the ocean and explores the advantages and disadvantages of using SAR for ocean studies. Furthermore, it analyzes relevant papers to identify the research trends and challenges in SAR applications in the ocean.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
