Article
Computer Science, Software Engineering
David Borland, Jonathan Zhang, Smiti Kaul, David Gotz
Summary: The collection and visualization of large-scale data from various industries have led to an increase in selection bias effects. Dynamic reweighting (DR) is a novel computational approach that helps users mitigate selection bias and correct visualizations. Statistical methods and use cases can support the DR process.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Remote Sensing
Xuan-Hien Le, Linh Nguyen Van, Duc Hai Nguyen, Giang V. Nguyen, Sungho Jung, Giha Lee
Summary: This research proposes an effective deep learning-based solution to enhance the accuracy of daily satellite-based precipitation products (SPPs). The study finds that the TRMM product performs better than the other SPPs when applied to the Lancang-Mekong River Basin. The deep learning framework is believed to be a solution for generating more up-to-date and dependable dataset for LMRB research.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Astronomy & Astrophysics
Farnik Nikakhtar, Ravi K. Sheth, Idit Zehavi
Summary: The baryon acoustic oscillation feature can serve as a standard cosmological ruler, and an algorithm has been developed to improve the estimation of its scale. This algorithm allows for simple and fast reconstruction of the BAO feature shape and subpercent determination of the linear point in the correlation function.
Article
Optics
Wenkang Yang, Kechen Song, Yanyan Wang, Xianbin Wei, Ling Tong, Shuo Chen, Yunhui Yan
Summary: The study proposes a Normalizing Flow Cross-Fitting network (NFCF) that uses only defect-free images as prior knowledge for training to address the issue of insufficient defect samples in industry. The network includes an incremental broadening module for information expansion of minor defects and an interactive filtering module for weight filtering through same-scale mutual reasoning. The processed information is fitted to a defect-free distribution by the normalizing flow module, serving as the basis for determination. Experimental results show that NFCF achieves an average of 96.3% and 95.88% on two metrics, AUC-Image and AUC-Pixel, on four types of datasets. The network can distinguish defect images using only defect-free training and perform localization segmentation for minor defects.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Meteorology & Atmospheric Sciences
Nadezhda Voropay, Anna Ryazanova, Egor Dyukarev
Summary: The study compared ERA5 reanalysis with observed precipitation data and proposed a bias correction procedure to improve data quality. The tested CRSS data fit the observation data very well, suitable for studying extreme precipitation events and conducting more accurate hydrologic risk assessment based on climate model results.
ATMOSPHERIC RESEARCH
(2021)
Article
Chemistry, Physical
Viktor Klippenstein, Nico F. A. van der Vegt
Summary: In this study, a new approach is proposed to correct the dynamics of coarse-grained models by including memory effects, leading to more accurate simulation results and revealing previously neglected important factors in simulations.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Neurosciences
Leonardo A. Rivera-Rivera, Steve Kecskemeti, Mu-Lan Jen, Zachary Miller, Sterling C. Johnson, Laura Eisenmenger, Kevin M. Johnson
Summary: Neurovascular 4D-Flow MRI is a powerful tool for cerebrovascular hemodynamic characterization. However, motion-induced bias can confound the hemodynamic markers. This study develops a high fidelity 3D self-navigation approach for motion correction and demonstrates improved image quality and reduced measurement bias.
Article
Environmental Sciences
Junhong Guo, Xiuquan Wang, Yurui Fan, Xi Liang, Hongtao Jia, Lvliu Liu
Summary: In recent years, China has experienced unprecedented natural disasters, including floods, landslide, wildfire, and droughts, due to concurrent climate extreme conditions. This paper focuses on ultra-extreme events and examines the impact of future global warming on climate extreme conditions in China. The results suggest that extreme hot conditions will dominate most regions of China, and some regions may experience over 50 extreme hot days in the future. Additionally, there may be more frequent extreme hot-wet events in China under continuously-warming scenarios. Slowing down global warming can reduce the frequency of concurrent climate extreme conditions in China, emphasizing the importance of immediate action towards carbon emission reduction.
Article
Meteorology & Atmospheric Sciences
Simone Schauwecker, Manfred Schwarb, Mario Rohrer, Markus Stoffel
Summary: In medium-sized alpine catchments, accurate forecasting of heavy precipitation events with lead times of 2-5 days is crucial. Bias-corrected forecasts have been shown to improve accuracy, especially for longer lead times like 5 days.
WEATHER AND CLIMATE EXTREMES
(2021)
Article
Mathematics
Shengfei Tang, Yanmei Shi, Qi Zhang
Summary: In this paper, a weighted link-specific (WLS) approach is proposed for high-dimensional Poisson and Gamma regression, providing a unified statistical inference framework. By regressing the parameter deviations and initial estimation errors, the resulting regression coefficients are utilized as correction weights to decrease the total mean square error (MSE). Additionally, the asymptotic normality of the correction estimates is developed under sparse and non-sparse conditions, and associated confidence intervals (CIs) are constructed to verify the robustness of the new method. Numerical simulations and empirical analysis demonstrate the extensive and effective nature of the WLS method.
Article
Environmental Sciences
Oluwafemi E. Adeyeri, Wen Zhou, Patrick Laux, Christopher E. Ndehedehe, Xuan Wang, Muhammad Usman, Akintomide A. Akinsanola
Summary: This study investigates the multimodel global drought monitoring, propagation, and projection using a multivariate standardized drought index (MSDI) during past and future periods. The multivariate bias correction method outperforms other techniques in correcting biases in the models. The study also identifies distinct categories for droughts in different regions and projects changes in drought characteristics for the future.
Article
Geochemistry & Geophysics
Xuan-Hien Le, Duc Hai Nguyen, Giha Lee
Summary: This study evaluated the efficacy of four state-of-the-art deep learning models in reducing bias in precipitation data in the Mekong River Basin (MRB). The results showed that ConvENDE and ConvUNET models had a higher level of consistency and performance compared to ConvINCE and ConvLSTM models.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Green & Sustainable Science & Technology
Hai Lin, Yi Yang, Shuguang Wang, Shuyu Wang, Jianping Tang, Guangtao Dong
Summary: This study evaluates the performance of the Multi-Source Weather (MSWX) dataset in China and compares it with other datasets. The results show that MSWX reasonably reproduces temperature and precipitation, but has biases in wind speed estimation. The study reveals both the advantages and disadvantages of MSWX and emphasizes the importance of research into climate change and sustainable development in East Asia.
Article
Ecology
Zhangqi Ding, Keming Ma
Summary: Identifying interspecific associations is crucial for understanding community assembly. The combination of wavelet and network topology analysis allows for the detection of nonrandom species associations across scales and along gradients. These associations vary with environmental changes.
Article
Computer Science, Interdisciplinary Applications
Jun Zhao, SungBum Kim, Hyoung-Moon Kim
Summary: The Nakagami distribution is widely used in various fields, and new MLE-like estimators have been proposed and their properties confirmed. The bias-corrected estimators, especially the second one, significantly improve small-sample performance.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Public, Environmental & Occupational Health
Lucas Azevedo, Heitor Duarte, Daniel Galvao, Paula Michima, Doris Veleda, Alexander Krueger
Summary: The study proposes a methodology to assess and classify the risks caused by meteo-oceanographic factors to ships' maneuverability in ports, validated and illustrated in a Brazilian port, Suape. The results show that the methodology is viable and improves operational safety.
Article
Environmental Sciences
Carlos Noriega, Carmen Medeiros, Moacyr Araujo, Andrea Xavier Silva, Mauricio Costa, Newton Antas Pereira, Eduardo Elvino Sales de Lima, Deive S. Teixeira da Silva, Sonali de Campos Pereira, Marcelo Rollnic
Summary: This study evaluated the water quality and trends in 12 tropical rivers in northeastern Brazil over a 27-year period. It found that densely populated areas had lower DO values, while areas with low demographic density aligned well with environmental legislation. The concentrations of NH4+ and P were affected by urban inputs, with high fecal coliform concentrations in densely populated basins. Additionally, some stations showed a reduction in DO levels and an increase in NH4+ concentrations over time.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Environmental Sciences
Alex Costa da Silva, Alexis Chaigneau, Alina N. Dossa, Gerard Eldin, Moacyr Araujo, Arnaud Bertrand
Summary: Based on oceanographic cruises conducted in spring 2015 and fall 2017, it was found that the oceanic circulation near the Fernando de Noronha Archipelago and Rocas Atoll off Northeast Brazil exhibits significant seasonal variations and island wake effects. The presence of islands not only disrupts the characteristics of the central South Equatorial Current and South Equatorial Undercurrent, but also influences temperature, salinity, and biogeochemistry.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Environmental Sciences
Marcus Silva, Moacyr Araujo, Carmen Medeiros, Julia Araujo, Carlos Noriega, Alex Costa da Silva
Summary: The study investigated the hydrodynamics and topographic upwelling around the northern Brazilian seamount chain, identifying the presence of Tropical Water mass and South Atlantic Central Water, as well as the seasonal variation in barrier layer thickness and the permanent thermocline. Temperature and salinity profiles indicated vertical water displacements and the simulations showed varying vertical velocities during different seasons.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Multidisciplinary Sciences
H. L. Varona, M. Araujo
Summary: This dataset, generated by the ROMS model, provides hydrothermodynamics climatology data of the Amazon and Para river mouths and the North Brazil Current retroflection. It includes temperature, salinity, ocean currents, and sea surface height information at various depth levels. Validations and comparisons with other datasets and buoys ensure the reliability of the dataset. It is a valuable resource for oceanographers and researchers studying the hydrothermodynamics of the region.
Article
Geosciences, Multidisciplinary
Marcos V. B. Silva, Beatrice Ferreira, Mauro Maida, Syumara Queiroz, Marcus Silva, Humberto L. Varona, Tereza C. M. Araujo, Moacyr Araujo
Summary: The study reveals the presence of upwelling induced by the interaction of currents with topographic features, particularly associated with submarine canyons. The seasonal variation of water masses intrusion and the instability of horizontal length scale of the pressure gradient force were observed. Additionally, a weak geostrophic balance and the presence of deep anti-cyclonic eddy were identified in the blind canyons.
JOURNAL OF MARINE SYSTEMS
(2022)
Article
Environmental Sciences
Wendson de Oliveira Souza, Luis Gustavo de Moura Reis, Antonio Miguel Ruiz-Armenteros, Doris Veleda, Alfredo Ribeiro Neto, Carlos Ruberto Fragoso Jr., Jaime Joaquim da Silva Pereira Cabral, Suzana Maria Gico Lima Montenegro
Summary: This work evaluates the feasibility of using Sentinel-1 SAR data to monitor water levels in a reservoir in northeast Brazil. The results show that SAR images can be suitable for reservoir monitoring with similar accuracy to multispectral indices.
Article
Multidisciplinary Sciences
H. L. Varona, F. Hernandez, A. Bertrand, M. Araujo
Summary: The article introduces the Tropical Atlantic Ocean Database and Monthly Anomalies of River Discharge on Atlantic Ocean datasets, which consist of anomalies of various physical and biogeochemical parameters in the tropical Atlantic Ocean, as well as anomalies of river runoff in the Atlantic Ocean and its adjacent seas. These datasets provide valuable information for studying climate variations in the tropical Atlantic Ocean.
Article
Environmental Sciences
Thiago Monteiro, Matheus Batista, Sian Henley, Eunice da Costa Machado, Moacyr Araujo, Rodrigo Kerr
Summary: The western Tropical Atlantic Ocean is a complex region for carbon cycle dynamics, with three distinct sub-regions showing different sea-air CO2 exchanges. The Amazon River plume waters play a crucial role in carbon uptake in this region. The carbon dynamics in the North Brazil Current and North Equatorial Current waters are sensitive to global climate change.
GLOBAL BIOGEOCHEMICAL CYCLES
(2022)
Article
Plant Sciences
Rafael Henrique de Moura Falcao, Pedro Augusto Mendes de Castro Melo, Moacyr Cunha de Araujo Filho, Maria da Gloria Goncalves da Silva Cunha
Summary: The Brazil-Malvinas Confluence (BMC) is a hotspot of phytoplankton biodiversity with high environmental variability. This study investigated the composition and characteristics of phytoplankton in the BMC and a Cold Core Eddy (CCE). The results showed that autotrophic organisms and marine planktonic species were predominant in the BMC and CCE, while heterotrophic dinoflagellates were dominant in the Brazil Current and CCE. The study also revealed a high diversity of species in the region, with an increase in species richness promoted by the temperature conditions in the CCE.
Article
Energy & Fuels
Nadege Bouchonneau, Arnaud Coutrey, Vivianne Marie Bruere, Moacyr Araujo, Alex Costa da Silva
Summary: This study proposes a numerical modeling methodology to assess the mechanical behavior of a wave energy converter (WEC) in Brazil. Different sea state scenarios were determined using oceanographic data collected in situ, and velocity profiles for maximum and operational swells were obtained using the Airy theory and second-order Stokes' theory. These profiles were then implemented in a flow model to calculate wave distributions of pressure on the WEC structure.
Article
Multidisciplinary Sciences
Everton Giachini Tosetto, Sigrid Neumann-Leitao, Moacyr Araujo, Djoirka Minto Dimoune, Arnaud Bertrand, Miodeli Nogueira Jr
Summary: This study investigates the impact of the Amazon River freshwater plume on planktonic cnidarians in the Western Atlantic. The results show that the plume shapes marine habitats, creating a highly productive surface layer compressed by a deeper oxygen minimum zone. Planktonic cnidarian assemblages are diverse and abundant within the plume, while dominant species dominate outside the plume. The Amazon River plume is a crucial physical feature that significantly affects the dynamics of habitat structure in the Western Equatorial Atlantic Ocean.
Article
Environmental Sciences
Gabriela Cristina Chagas Moura, Yasmin Marques Ayres, Anna Luisa de Carvalho Brito, Edmilson Ferreira de Souza Jr, Rafael dos Santos Rocha, Paulo Miguel Vieira De Sousa, Antonio Geraldo Ferreira, Oscarina Viana de Sousa, Doris Veleda
Summary: Microorganisms play a vital role in balancing marine ecosystems and have intricate interactions at the ocean-atmosphere interface. This study explored the diversity of cultivable bacteria and fungi in marine bioaerosols in the North Tropical Atlantic Ocean. It revealed that around 40% of bacteria and 42% of fungi identified were potential human pathogens.
Article
Marine & Freshwater Biology
Helen Michelle de Jesus Affe, Diogo Souza Bezerra Rocha, Fernanda Reinhardt Piedras, Gleyci Aparecida Oliveira Moser, Moacyr Cunha Filho de Araujo, Leticia Cotrim da Cunha
Summary: Measurements of the marine carbonate system on tropical and subtropical continental margins are poorly distributed in space and time, with uncertainties regarding carbon exchanges at the ocean-atmosphere interface. Using data from the Surface Ocean CO2 Atlas, this study calculated sea-to-air CO2 fluxes along the Brazilian continental margin and investigated the role of ecoregions as potential CO2 sinks or sources. The results showed variability in seawater temperature, salinity, and pCO2 values among different ecoregions, with non-homogeneous spatio-temporal variations in CO2 fluxes.
OCEAN AND COASTAL RESEARCH
(2023)
Article
Marine & Freshwater Biology
Renato S. Carreira, Eliete Zanardi-Lamardo, Carlos G. Massone, Moacyr Araujo, Paulo Nobre, Gilvan T. Yogui
Summary: A scientific cruise in northeastern Brazil collected seawater samples to study the hydrocarbon levels related to an oil spill. The results show that the levels of hydrocarbons in the samples were not contaminated by crude oil and were comparable to baseline levels in other areas. However, some samples were contaminated during the sampling and handling process. The study highlights the need to improve protocols for collecting seawater samples for trace organic analyses on research vessels.
OCEAN AND COASTAL RESEARCH
(2022)
