Article
Meteorology & Atmospheric Sciences
Melissa L. Wrzesien, Sujay Kumar, Carrie Vuyovich, Ethan D. Gutmann, Rhae Sung Kim, Barton A. Forman, Michael Durand, Mark S. Raleigh, Ryan Webb, Paul Houser
Summary: This study uses model calibration tools to improve snow simulations in the Noah-MP LSM, resulting in more accurate spatial estimates of snow water equivalent and runoff. The calibrated simulations show better agreement with observed data and improved timing of snowmelt. Additionally, spatially distributed calibrated parameters outperform default uniform values.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Shibo Gao, Danlian Huang, Ningzhu Du, Chuanyou Ren, Haiqiu Yu
Summary: Ensemble dynamical downscaling of precipitation over China based on two different cumulus convective parameterization schemes showed superior performance in capturing the characteristics of precipitation patterns and improving the representation of both annual mean and interannual variations. The ensemble also demonstrated the highest skill in representing precipitation anomalies at regional scales for all subregions, as well as capturing the spatial patterns and temporal variations of dominant precipitation variability modes.
ATMOSPHERIC RESEARCH
(2022)
Article
Astronomy & Astrophysics
Young Ju Ko, HyangKyu Park
Summary: Research suggests that the cross section for the Compton-like process becomes dominant relative to that for the absorption process when the mass of super-WIMPs exceeds approximately 150 keV/c2; particularly for vector super-WIMPs, the cross section for the Compton-like process is significantly greater by 1 to 2 orders of magnitude in the mass range of 400 keV/c2 to 1 MeV/c2. By including the Compton-like process, which has not been used in any other super-WIMP search experiments, the experimental upper limits can be improved.
Article
Environmental Sciences
Qifeng Zhang, Thomas Wiedmann, Kai Fang, Junnian Song, Jianjian He, Xianpeng Chen
Summary: The study found that many industries and provinces in China are facing severe unsustainability due to transgressing planetary boundaries, with Western and Northern provinces performing worse. Improving eco-efficiency in manufacturing industries is key to saving resources, reducing emissions, and safeguarding local boundaries.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
L. Cappanera, P. Debue, H. Faller, D. Kuzzay, E-W Saw, C. Nore, J-L Guermond, F. Daviaud, C. Wiertel-Gasquet, B. Dubrulle
Summary: This paper investigates the comparison between experimental, direct numerical simulation (DNS), and large eddy simulation (LES) results in a von Karman flow, where two counter-rotating impellers are driving the fluid in a cylindrical container. The study validates the proposed LES model and demonstrates a high level of agreement between numerical and experimental data, indicating that each technique can be used with high confidence to explore and understand turbulence in complex flows at Reynolds numbers of O(10^5) and beyond.
COMPUTERS & FLUIDS
(2021)
Article
Environmental Sciences
Jie Zhang, Guang Li, Li Shi, Ning Huang, Yaping Shao
Summary: This study hypothesizes that large eddies are crucial in the entrainment of aeolian particles. Wind-tunnel experiments were conducted to measure the particle entrainment rate under various conditions. By using a fluttering cloth, large eddies similar to convective eddies, referred to as quasi-convective turbulence, were generated. The results show that quasi-convective turbulence increases surface shear stress and enhances the entrainment of sand and dust particles.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Review
Environmental Sciences
Xianpeng Chen, Chenglin Li, Mo Li, Kai Fang
Summary: Planetary boundaries are recognized as a well-grounded framework for global sustainability assessment, taking into account biophysical, socioeconomic, ethical, and cultural dimensions. The downscaling of PBs depends on targeted scales, sharing principles, and sustainability perspectives. Despite different sharing principles, the definition of environmental boundaries at sub-global scales varies greatly among different PBs in their threshold behaviors.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
H. Gardian, J. -p. Beck, M. Koch, R. Kunze, C. Muschner, L. Huelk, M. Bucksteeg
Summary: A variety of models have emerged in the field of energy system analysis to address sustainability in the energy sector. Model experiments are important for decision-makers to understand the range of models available and make meaningful choices. Harmonising data is crucial for comparing and selecting models, ensuring high comparability.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Meteorology & Atmospheric Sciences
H. Kawase, M. Nosaka, S. I. Watanabe, K. Yamamoto, T. Shimura, Y. Naka, Y. -H. Wu, H. Okachi, T. Hoshino, R. Ito, S. Sugimoto, C. Suzuki, S. Fukui, T. Takemi, Y. Ishikawa, N. Mori, E. Nakakita, T. J. Yamada, A. Murata, T. Nakaegawa, I. Takayabu
Summary: Global warming is found to enhance extreme precipitation in Japan, with higher increase rates over the coastal regions and northern parts. The time periods of increased extreme precipitation differ among regions due to the movement of the Baiu front and typhoon activity. Additionally, the experiments with a 5 km grid spacing show increased frequency and intensity of precipitation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Xiaoshi Qiao, Mingjian Zeng, Saidi Wang, Yanfei Zeng
Summary: This study investigated the impact of stochastic perturbations on precipitation forecasts and compared two different perturbation methods. Perturbing the temperature and humidity tendencies did not significantly affect the precipitation placement, resulting in relatively low forecast skill scores. On the other hand, perturbing the reference profiles improved the spatial distribution of precipitation and alleviated wet and dry biases.
ATMOSPHERIC RESEARCH
(2023)
Article
Pharmacology & Pharmacy
Abi Maharjan, Hongyu Sun, Zeying Cao, Ke Li, Jinping Liu, Jun Liu, Tiqiao Xiao, Guanyun Peng, Junqiu Ji, Peter York, Balmukunda Regmi, Xianzhen Yin, Jiwen Zhang, Li Wu
Summary: Defining and visualizing the 3D structures of pharmaceuticals is crucial for understanding drug delivery systems. This study used synchrotron radiation micro-computed tomography to examine and visualize the structures of bilayer osmotic pump tablets during dissolution and in a desiccated solid state. The findings shed light on the mechanism of drug release from these dosage forms.
ACTA PHARMACEUTICA SINICA B
(2022)
Article
Marine & Freshwater Biology
E. M. Meselhe, E. D. White, Y. Wang, D. J. Reed
Summary: In long-term coastal planning, considering uncertainties on predicted outcomes is crucial. The proposed approach offers a framework for uncertainty analysis for landscape models used for planning-level efforts, demonstrated through an ecosystem Integrated Compartment Model (ICM) applied to Coastal Louisiana, USA. The framework quantifies uncertainty in model output driven by uncertainties in key model variables, providing valuable insights on predictions made by large scale landscape models for coastal and deltaic environments.
ESTUARINE COASTAL AND SHELF SCIENCE
(2021)
Article
Environmental Sciences
Mahnoosh Haghighatnasab, Jan Kretzschmar, Karoline Block, Johannes Quaas
Summary: Increased anthropogenic aerosols enhance cloud droplet concentration but their influence on cloud liquid water path and cloud fraction remains unclear. Simulating a volcanic eruption, this study finds that volcanic aerosols significantly increase cloud droplet concentration without significant changes in cloud liquid water path or cloud fraction.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Environmental Sciences
Roman Nuterman, Alexander Mahura, Alexander Baklanov, Bjarne Amstrup, Ashraf Zakey
Summary: This study describes and evaluates a downscaling modeling chain for predicting weather and atmospheric composition, with models running at different spatiotemporal scales. Results show elevated NOx and lowered O-3 concentrations in major urban, industrial, and transport areas, with Denmark's predictions closer to observations than the EU. Downscaling to Copenhagen's street level reveals NOx pollution is significantly higher on weekends and during working days. The system demonstrated could be valuable for future meteorology and air quality research, as well as for impact assessments and emergency preparedness planning.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Mathematics
L. El Hajj, H. Shahgholian
Summary: The paper discusses the convexity of several free boundary value problems in exterior domains, focusing on the application of quasiconvex rearrangement tool in the case where f(u) lacks monotonicity, as well as the scaling and asymptotic expansion of solutions at regular points.
ST PETERSBURG MATHEMATICAL JOURNAL
(2021)
Article
Meteorology & Atmospheric Sciences
Marco Reale, William David Cabos Narvaez, Leone Cavicchia, Dario Conte, Erika Coppola, Emmanouil Flaounas, Filippo Giorgi, Silvio Gualdi, Assaf Hochman, Laurent Li, Piero Lionello, Zorica Podrascanin, Stefano Salon, Emilia Sanchez-Gomez, Enrico Scoccimarro, Dmitry Sein, Samuel Somot
Summary: The study reveals that by the end of the 21st century, there will be a decrease in the number and size of cyclones in the Mediterranean, with an increase in wind speed and precipitation in the central part of the region and a decrease in the southeastern part. Inter-model differences in projected changes suggest the importance of further exploration and understanding of the driving mechanisms behind the future evolution of Mediterranean cyclone properties.
Article
Ecology
Jason S. Link, Fabio Pranovi, Simone Libralato
Summary: Examining marine ecosystems in a distinct way can lead to new insights in ecology, theory and application, with the cumulative trophic theory able to predict empirical trophic dynamics curves under a wide range of mechanisms, providing more repeatable and predictable responses in managing marine ecosystems.
ECOLOGICAL MODELLING
(2022)
Article
Environmental Sciences
Cosimo Solidoro, Gianpiero Cossarini, Paolo Lazzari, Giovanni Galli, Giorgio Bolzon, Samuel Somot, Stefano Salon
Summary: This study simulates and analyzes the impact of a high CO2 emission scenario on the Mediterranean Sea ecosystem. It reveals that under this scenario, plankton primary production and total system respiration increase. However, the increase in productivity is smaller than that of respiration, resulting in decreased concentrations of total living carbon, chlorophyll, particulate organic carbon, and oxygen in the surface layer, and increased DIC pool throughout the basin. Additionally, the dissolution of atmospheric CO2 leads to increased carbon fluxes, reduced organic carbon, and increased inorganic carbon. The eastern sub-basin accumulates more than 85% of the absorbed atmospheric CO2. A clear signal of ocean acidification is observed in the entire basin, similar to other oceans, and can be detected even in the deep layers.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Milena Menna, Riccardo Martellucci, Marco Reale, Gianpiero Cossarini, Stefano Salon, Giulio Notarstefano, Elena Mauri, Pierre-Marie Poulain, Antonella Gallo, Cosimo Solidoro
Summary: The attention on Medicanes has increased due to their intensity and harmful potential. Uncertainties remain about how these weather extremes influence ocean circulation. This study examines the interplay between an atmospheric cyclone and a cyclonic gyre in the Mediterranean, revealing significant biogeochemical impacts and highlighting the importance of multi-platform observation systems for future weather-related damage mitigation.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Multidisciplinary
Gloria Pietropolli, Luca Manzoni, Gianpiero Cossarini
Summary: Our work aims to develop an improved deep-learning technique for predicting the relationships between high-frequency and low-frequency sampled variables, in order to enhance the predictive capabilities of ocean observation data.
APPLIED SCIENCES-BASEL
(2023)
Article
Multidisciplinary Sciences
Matteo Loschi, Domenico D'Alelio, Elisa Camatti, Fabrizio Bernardi Aubry, Alfred Beran, Simone Libralato
Summary: This study compared the planktonic food webs of Palude della Rosa in Venice Lagoon, Italy, in 2005 and 2007, and identified the consumption flows involving certain species as the most important in splitting the food webs. Although there were differences in functional nodes between the two years, the whole system indicators showed similar results. Sediment resuspension acted as a stressor for the lagoon, inhibiting primary producers and increasing water turbidity. Primary production in the water column mainly came from benthic functional nodes. The study highlights the role of plankton communities in assessing ecosystem health.
SCIENTIFIC REPORTS
(2023)
Article
Ecology
Alexandre Mignot, Herve Claustre, Gianpiero Cossarini, Fabrizio D'Ortenzio, Elodie Gutknecht, Julien Lamouroux, Paolo Lazzari, Coralie Perruche, Stefano Salon, Raphaelle Sauzede, Vincent Taillandier, Anna Teruzzi
Summary: Numerical models of ocean biogeochemistry are key tools for detecting the impact of climate change on marine resources. A new method using clustering, assessment metrics, and BGC-Argo observations is proposed to provide information on model predictive skill. The method is applied to assess the performance of the Copernicus Marine Service's Global Ocean Biogeochemistry Analysis and Forecast system and identify areas for improvement. The study shows the benefits of synergistic use of modeling and BGC-Argo data for both model evaluation and observing system design.
Article
Ecology
Valeria Di Biagio, Stefano Salon, Laura Feudale, Gianpiero Cossarini
Summary: This study investigates the subsurface oxygen maximum (SOM) in the Mediterranean Sea, showing different characteristics between the western and eastern Mediterranean in summer. The model-derived concentrations and depths are in agreement with estimations from the literature and display mesoscale variability patterns.
Proceedings Paper
Computer Science, Artificial Intelligence
Gloria Pietropolli, Gianpiero Cossarini, Luca Manzoni
Summary: Monitoring the marine ecosystem is challenging due to the limitations of observations and deterministic models. This study proposes a deep learning model that integrates observations and the output of a deterministic model to accurately reproduce and improve the monitoring of biogeochemical variables in the Mediterranean Sea.
PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022
(2022)
Article
Ecology
Marco Reale, Gianpiero Cossarini, Paolo Lazzari, Tomas Lovato, Giorgio Bolzon, Simona Masina, Cosimo Solidoro, Stefano Salon
Summary: This study assesses the climate change-related impacts on marine ecosystems in the Mediterranean Sea during the 21st century. The projections show changes in nutrient content, primary production, oxygen concentration, and acidification. The results suggest that reducing CO2 emissions could effectively contribute to ocean sustainability policies.
Article
Multidisciplinary Sciences
Giulia Riccioni, Marco Stagioni, Chiara Manfredi, Fausto Tinti, Corrado Piccinetti, Simone Libralato
Summary: The Northern Adriatic Sea is a highly productive fishing area with diverse habitats. The Pomo Pit is an important aggregation area and spawning/nursery area for European hake. Through metabarcoding analysis, it was discovered that there is a shift in feeding behavior from crustaceans to fish as European hake grow. There are also differences in diet and food preferences between hake living inside and outside the Pomo Pit.
SCIENTIFIC REPORTS
(2022)
