Article
Chemistry, Analytical
Marzia Ciampittiello, Dario Manca, Claudia Dresti, Stefano Grisoni, Andrea Lami, Helmi Saidi
Summary: Climate change and human activities have significant impacts on lakes and their catchments, requiring a well-distributed and high frequency network to monitor environmental variables and share data efficiently. The PITAGORA project developed low-cost, easily implementable, and reliable instruments for measuring various environmental parameters, adaptable to different monitoring purposes.
Article
Water Resources
Anjana Ekka, Saket Keshav, Saket Pande, Pieter van der Zaag, Yong Jiang
Summary: This study examines the hydrological alterations resulting from reservoir construction and water abstraction in the upper Cauvery river basin in India. Using a landscape-based hydrological model, the study analyzes the impacts of dams on river flow regimes. The results show that reservoir impoundment and water abstractions have modified the natural flow regimes, particularly in terms of median monthly flow, 1-day minimum flow, and low pulses. These findings provide valuable insights for water managers to sustain natural flow regimes and contribute to the sustainable management of river basins in India.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Computer Science, Information Systems
Tiziana De Filippis, Leandro Rocchi, Giovanni Massazza, Alessandro Pezzoli, Maurizio Rosso, Mohamed Housseini Ibrahim, Vieri Tarchiani
Summary: Emerging hydrological services provide stakeholders and political authorities with useful information for flood risk management. However, interoperability and open data are not common in developing countries. This paper presents a web platform and related services developed for the Local Flood Early Warning System of the Sirba River in Niger, tailored to the user's needs.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Environmental Sciences
Celina Aznarez, Patricia Jimeno-Saez, Adrian Lopez-Ballesteros, Juan Pablo Pacheco, Javier Senent-Aparicio
Summary: This study assessed the impacts of climate change on hydrological ecosystem services in the Laguna del Sauce catchment using SWAT model and downscaled CMIP-5 global climate models. The results suggested negative effects on water resources and potential reduction of erosion control and aggravation of eutrophication in high emission scenarios. Monitoring and management capacities need to be enhanced to mitigate these impacts.
Article
Computer Science, Interdisciplinary Applications
Jiping Jiang, Tianrui Pang, Fengyuan Zhang, Yunlei Men, Harsh Yadav, Yi Zheng, Min Chen, Hongliang Xu, Tong Zheng, Peng Wang
Summary: This study proposes a generic pathway to encapsulate the surface water quality model and its applications as cloud computing services in order to promote the efficiency and reduce the complexity of surface water EDSS development. The pathway is implemented under the OpenGMS framework, and an EDSS instance for Maozhou River in Shenzhen is developed, providing precise management measurements for COD and NH3-N control.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Computer Science, Artificial Intelligence
Roshan Fernandes, G. L. Rio D'Souza, Anisha P. Rodrigues
Summary: The rapid advancement of mobile technology has changed people's lifestyles, with smartphones replacing traditional phones and enabling easier communication through social networks. New technologies facilitate better connections between individuals and help discover interesting services nearby. The framework aims to provide mobile users with nearby points of interest and connect people with similar interests in different locations.
EVOLUTIONARY INTELLIGENCE
(2021)
Proceedings Paper
Computer Science, Information Systems
Grela Ajvazi, Festim Halili
Summary: Service-oriented architecture (SOA) is a widely adopted architecture that utilizes web services for application development and integration. This article provides an overview and analysis of standards in web service security, focusing on SOAP messages with Kerberos authentication.
2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP)
(2022)
Article
Water Resources
Donatien Dallery, Herve Squividant, Alban de Lavenne, Josette Launay, Christophe Cudennec
Summary: A consolidated geomorphology-based approach for discharge prediction in ungauged basins has been made available online, providing a tool for specialists and non-modeller water practitioners to model discharge series at any ungauged outlet of a specific region. This approach supports interdisciplinary research, water resource management, and science-society-policy discussions and actions.
HYDROLOGICAL SCIENCES JOURNAL
(2022)
Article
Agriculture, Dairy & Animal Science
Kristina Dineva, Tatiana Atanasova
Summary: This research focuses on the development of a machine learning model using non-invasive IoT devices to monitor and classify the health status of milk cows. The collected data from various sources are processed and five different ML algorithms are trained and tested to select the most accurate one. The highest result is obtained from the random forest classifier (RFC) with an accuracy of 0.959. To enhance the work process, a cloud architecture of services is presented for integrating the trained model in the Amazon Web Services (AWS) environment, and the classification results are visualized in a newly created interface.
Proceedings Paper
Computer Science, Artificial Intelligence
Irina Kalinina, Aleksandr Gozhyj, Victor Gozhyi
Summary: The article focuses on building models for a pharmaceutical web-service using colored Petri nets. A specialized service algebra and diagrams in DFD notation have been developed. The models of the pharmaceutical service were created and investigated in the CPN Tools environment. Computational experiments, including simulation modeling and calculation of model parameters, were carried out. The quality of the developed pharmaceutical service was assessed.
2022 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT)
(2022)
Article
Computer Science, Theory & Methods
Byron Cook, Kareem Khazem, Daniel Kroening, Serdar Tasiran, Michael Tautschnig, Mark R. Tuttle
Summary: This paper describes our experience with symbolic model checking in an industrial setting, proving the memory safety of the initial boot code running in Amazon Web Services data centers and addressing issues faced by standard static analysis tools in handling boot code.
FORMAL METHODS IN SYSTEM DESIGN
(2021)
Article
Computer Science, Information Systems
N. Thilagavathi, K. Lakshmi
Summary: This paper proposes a synthesized non-deterministic turning machine model to verify composed web services for both deterministic and non-deterministic systems in parallel. By combining different turning machine models, this method is able to verify composite services in parallel for both deterministic and non-deterministic systems efficiently.
INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH
(2021)
Article
Computer Science, Information Systems
Pengcheng Zhang, Huiying Jin, Hai Dong, Wei Song, Liyan Wang
Summary: The study introduces a novel online QoS forecasting approach LA-LMRBF, which accurately predicts QoS attributes of Web services through three stages. Experimental results demonstrate its superiority over other methods and suitability for long-term QoS forecasting.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Meteorology & Atmospheric Sciences
Ifeanyi Chukwudi Achugbu, Patrick Laux, Ayo Akinlabi Olufayo, Ifeoluwa Adebowale Balogun, Jimy Dudhia, Joel Arnault, Imoleayo E. Gbode, Edward Naabil, Harald Kunstmann
Summary: This study assessed the potential impacts of land use change on regional climate in West Africa and found significant changes in precipitation, temperature, and dew point temperature due to land use land cover change (LULCC). Deforestation and conversion of forest to barren land led to a decrease in precipitation, while reforestation increased precipitation. LULCC also affected atmospheric conditions, including wind speed, wind direction, and humidity.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Engineering, Civil
David Feldmann, Patrick Laux, Andreas Heckl, Manfred Schindler, Harald Kunstmann
Summary: The study aims to determine robust Manning resistance coefficients (n) based on consecutive artificial rainfall experiments on natural hillslopes available in literature. Manning resistance coefficient is particularly important in 2D hydraulic heavy rainfall simulations, as there is a wide range of possible resistance values available leading to significantly different results regarding the accumulation of surface runoff.
JOURNAL OF HYDROLOGY
(2023)
Article
Agronomy
Xuejin Wang, Baoqing Zhang, Zhenyu Zhang, Lei Tian, Harald Kunstmann, Chansheng He
Summary: Understanding the spatiotemporal evolution of droughts is crucial for food security and water allocation. This study proposes an approach to explore the simultaneous spatiotemporal evolution of droughts by constructing the linkage of propagation from meteorological drought to agricultural drought. The results show that 53.75% of meteorological drought events progress further to agricultural droughts, and agricultural droughts have a longer duration than meteorological droughts.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Xin Li, Guohua Fang, Jianhui Wei, Joeel Arnault, Patrick Laux, Xin Wen, Harald Kunstmann
Summary: Changing climate has increased the risk of natural and social disasters, particularly in coastal areas like the Huaihe river basin (HRB), by altering precipitation and temperature trends. This study evaluates the performance of 30 Global climate models (GCMs) in simulating HRB's precipitation and temperature from 1979 to 2014, using the Empirical Quantile Mapping (EQM) method for bias correction. The results project an increase in precipitation and temperature for the period 2015-2100, with varying rates depending on the scenarios. In the long-term, annual precipitation is projected to increase by 32-35%, while temperature is expected to either remain stable or slightly decrease under certain scenarios and increase by 4-6 degrees C under others.
Article
Meteorology & Atmospheric Sciences
Brian Boeker, Patrick Laux, Patrick Olschewski, Harald Kunstmann
Summary: Reliable prediction of heavy precipitation events causing floods is crucial for adaptation strategies in a changing climate. This study proposes a circulation pattern conditional downscaling approach that considers frequency changes of circulation patterns. Precipitation observations are used to derive conditional cumulative distribution functions and raw precipitation time series are sampled from these functions. Bias correction is applied using quantile mapping and parametric transfer functions. The evaluation shows that the proposed approach yields more reliable and accurate downscaled precipitation time series, particularly for extreme events.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Windmanagda Sawadogo, Jan Bliefernicht, Benjamin Fersch, Seyni Salack, Samuel Guug, Kehinde O. Ogunjobi, Stefanie Meilinger, Harald Kunstmann
Summary: The study evaluates different shortwave radiation schemes from the Weather Research and Forecasting (WRF) Model option Solar (WRF-Solar) for solar irradiance forecasting in Ghana and the southern part of Burkina Faso. The results show that the RRTMG_AERO_D01 scheme generally outperforms other schemes in simulating global horizontal irradiance under different weather conditions. It is recommended to use the RRTMG_AERO scheme for solar irradiance forecasts in the study area.
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2023)
Article
Environmental Sciences
Ningpeng Dong, Mingxiang Yang, Jianhui Wei, Joel Arnault, Patrick Laux, Shiqin Xu, Hao Wang, Zhongbo Yu, Harald Kunstmann
Summary: This study proposes a synergistic framework to predict the release, storage, and hydropower production of ungauged reservoirs by combining remotely sensed reservoir operating patterns and model-simulated reservoir inflow within a land surface-hydrologic model. The study shows that remote sensing can improve the parameter estimation and simulations of ungauged reservoirs, but most operation schemes show degraded accuracies under changing inflow regimes. In comparison, the newly extended reservoir operation scheme in this study proves to be more adaptable to flow regime variations.
WATER RESOURCES RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Xuejin Wang, Zhenyu Zhang, Baoqing Zhang, Lei Tian, Jie Tian, Joel Arnault, Harald Kunstmann, Chansheng He
Summary: This study investigates the impact of land use and land cover change on regional atmospheric moisture cycling in the agro-pastoral ecotone of northern China. Results show that evapotranspiration contributes to local and regional precipitation, and surface vegetation change affects the thermodynamic processes and atmospheric responses.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Patrick Olschewski, Patrick Laux, Jianhui Wei, Brian Boeker, Zhan Tian, Laixiang Sun, Harald Kunstmann
Summary: The effectiveness of adaptive measures to address the impacts of climate change depends on accurate climate projections, especially in the increasingly prevalent extreme events. Flooding poses a significant threat to vulnerable coastal urban areas, including major cities like Shanghai and Shenzhen in eastern Asia. Despite improvements in general circulation models (GCMs) and regional climate models (RCMs) for projecting atmospheric changes related to these events, biases still exist. This study evaluates the potential of enhancing regional climate projections for eastern Asia by employing bias adjustment methods, GCM-RCM model runs, and future emission scenarios.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Green & Sustainable Science & Technology
Windmanagda Sawadogo, Jan Bliefernicht, Benjamin Fersch, Seyni Salavk, Samuel Guug, Belko Diallo, Kehinde O. Ogunjobi, Guillaume Nakoulma, Michael Tanu, Stefanie Meilinger, Harald Kunstamann
Summary: This study evaluates the performance of hourly global horizontal irradiance (GHI) from state-of-the-art reanalysis and satellite-based products in Burkina Faso and Ghana. The results show that satellite data performs better than reanalysis data under different atmospheric conditions. The new measure of overall performance indicates that the GHI derived from CAMS and SARAH-2 can serve as viable alternative data for assessing solar energy in West Africa's different climatic zones.
Review
Environmental Sciences
Patrick Laux, Elena Weber, David Feldmann, Harald Kunstmann
Summary: This study uses both stationary and non-stationary extreme value analysis (EVA) models to derive design life levels (DLLs) of daily precipitation in the Oberland region of Southern Germany. Different parameter estimation techniques and theoretical distributions are evaluated and compared. The study reveals large methodological uncertainties and no robust tendency towards increased extremes for the end of this century in the study area.
Article
Astronomy & Astrophysics
Nico Blettner, Martin Fencl, Vojtech Bares, Harald Kunstmann, Christian Chwala
Summary: Unlike actual rainfall, the spatial extent of rainfall maps is often constrained by administrative and political boundaries, limiting transboundary exchange of data. However, this study presents the first transboundary rainfall maps generated using commercial microwave link (CML) data sets from Germany and the Czech Republic. By applying quality control algorithms, anomalies in the results are significantly reduced, enabling seamless visualization of rainfall events across the German-Czech border. This highlights the importance of quality control for large-scale CML-based rainfall estimation.
EARTH AND SPACE SCIENCE
(2023)
Proceedings Paper
Acoustics
Julius Polz, Luca Glawion, Maximilian Graf, Nico Blettner, Zbieta Lasota, Lennart Schmidt, Harald Kunstmann, Christian Chwala
Summary: Accurate detection of signal anomalies in commercial microwave links (CMLs) attenuation time-series is crucial for high quality rainfall estimates. Examples of anomalies include dew/ice on the antenna and multipath propagation. A study analyzing 20 CMLs in Germany found that removing flagged anomalies improved the correlation between CML and radar rainfall estimates, emphasizing the importance of considering expert uncertainty in quality control of environmental sensor data.
2023 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW
(2023)
Article
Geosciences, Multidisciplinary
Efi Rousi, Andreas H. Fink, Lauren S. Andersen, Florian N. Becker, Goratz Beobide-Arsuaga, Marcus Breil, Giacomo Cozzi, Jens Heinke, Lisa Jach, Deborah Niermann, Dragan Petrovic, Andy Richling, Johannes Riebold, Stella Steidl, Laura Suarez-Gutierrez, Jordis S. Tradowsky, Dim Coumou, Andre Dusterhus, Florian Ellsaesser, Georgios Fragkoulidis, Daniel Gliksman, Doerthe Handorf, Karsten Haustein, Kai Kornhuber, Harald Kunstmann, Joaquim G. Pinto, Kirsten Warrach-Sagi, Elena Xoplaki
Summary: The summer of 2018 experienced simultaneous, widespread, and concurrent heat and drought extremes in northern and central Europe, with significant impacts on agriculture, forests, water supply, and the socio-economic sector. The study provides a comprehensive analysis of the extreme summer in terms of heat and drought, particularly focusing on Germany. The research identifies the atmospheric circulation patterns and climate precursors, as well as the probabilistic attribution of the heatwave to anthropogenic global warming. Future projections indicate a higher frequency and intensity of extreme summers under climate change. Such studies are crucial for adaptation and mitigation strategies.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Gerhard Smiatek, Harald Kunstmann
Summary: The pan-African Great Green Wall for the Sahara and the Sahel initiative aims to reverse land degradation through reforestation. However, our investigation found no significant evidence that the GGW-induced changes in precipitation characteristics or positive impacts on forestation activities in the Sahel. Our simulations showed regional-scale changes in precipitation, but they were not statistically significant at the 5% level.
EARTH INTERACTIONS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jeffrey Wade, Christa Kelleher, Barret L. Kurylyk
Summary: This study developed a physically-based water temperature model coupled with the National Water Model (NWM) to assess the potential for water temperature prediction to be incorporated into the NWM at the continental scale. By evaluating different model configurations of increasing complexity, the study successfully simulated hourly water temperatures in the forested headwaters of H.J. Andrews Experimental Forest in Oregon, USA, providing a basis for integrating water temperature simulation with predictions from the NWM.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Shaun SH. Kim, Lucy A. Marshall, Justin D. Hughes, Lynn Seo, Julien Lerat, Ashish Sharma, Jai Vaze
Summary: A major challenge in hydrologic modelling is producing reliable uncertainty estimates outside of calibration periods. This research addresses the challenge by improving model structures and error models to more reliably estimate uncertainty. The combination of the RBS model and SPUE produces statistically reliable predictions and shows better matching performance in tests.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Juan Pedro Carbonell-Rivera, Javier Estornell, Luis Angel Ruiz, Pablo Crespo-Peremarch, Jaime Almonacid-Caballer
Summary: This study presents Class3Dp, a software for classifying vegetation species in colored point clouds. The software utilizes geometric, spectral, and neighborhood features along with machine learning methods to classify the point cloud, allowing for the recognition of species composition in an ecosystem.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Daniel Caviedes-Voullieme, Ilhan Oezgen-Xian, Simin Jiang, Na Zheng
Summary: The optimal strategy for solving the Richards equation numerically depends on the specific problem, particularly when using GPUs. This study investigates the parallel performance of four numerical schemes on both CPUs and GPUs. The results show that the scaling of Richards solvers on GPUs is influenced by various factors. Compared to CPUs, parallel simulations on GPUs exhibit significant variation in scaling across different code sections, with poorly-scaled components potentially impacting overall performance. Nonetheless, using GPUs can greatly enhance computational speed, especially for large-scale problems.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ludovic Cassan, Leo Pujol, Paul Lonca, Romain Guibert, Helene Roux, Olivier Mercier, Dominique Courret, Sylvain Richard, Pierre Horgue
Summary: Methods and algorithms for measuring stream surface velocities have been continuously developed over the past five years to adapt to specific flow typologies. The free software ANDROMEDE allows easy use and comparison of these methods with image processing capabilities designed for measurements in natural environments and with unmanned aerial vehicles. The validation of the integrated algorithms is presented on three case studies that represent the targeted applications: the study of currents for eco-hydraulics, the measurement of low water flows and the diagnosis of hydraulic structures. The field measurements are in very good agreement with the optical measurements and demonstrate the usefulness of the tool for rapid flow diagnosis for all the intended applications.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans, Jef Caers
Summary: This paper introduces a framework for quantitative sensitivity analysis using the SimDec visualization method, and tests its effectiveness on decision-making problems. The framework captures critical information in the presence of heterogeneous effects, and enhances its practicality by introducing a formal definition and classification of heterogeneous effects.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Chad R. Palmer, Denis Valle, Edward V. Camp, Wendy-Lin Bartels, Martha C. Monroe
Summary: Simulation games have been used in natural resource management for education and communication purposes, but not for data collection. This research introduces a new design process which involves stakeholders and emphasizes usability, relevance, and credibility testing criteria. The result is a finalized simulation game for future research.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Tao Wang, Chenming Zhang, Ye Ma, Harald Hofmann, Congrui Li, Zicheng Zhao
Summary: This study used numerical modeling to investigate the formation process of iron curtains under different freshwater and seawater conditions. It was found that Fe(OH)3 accumulates on the freshwater side, while the precipitation is inhibited on the seaward side due to high H+ concentrations. These findings enhance our understanding of iron transformation and distribution in subterranean estuaries.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Grant Hutchings, James Gattiker, Braden Scherting, Rodman R. Linn
Summary: Computational models for understanding and predicting fire in wildland and managed lands are becoming increasingly impactful. This paper addresses the characterization and population of mid-story fuels, which are not easily observable through traditional survey or remote sensing. The authors present a methodology to populate the mid-story using a generative model for fuel placement, which can be calibrated based on limited observation datasets or expert guidance. The connection of terrestrial LiDAR as the observations used to calibrate the generative model is emphasized. Code for the methods in this paper is provided.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Saswata Nandi, Pratiman Patel, Sabyasachi Swain
Summary: IMDLIB is an open-source Python library that simplifies the retrieval and processing of gridded meteorological data from IMD, enhancing data accessibility and facilitating hydro-climatic research and analysis.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
Article
Computer Science, Interdisciplinary Applications
Pengfei Wu, Jintao Liu, Meiyan Feng, Hu Liu
Summary: In this paper, a new flow distance algorithm called D infinity-TLI is proposed, which accurately estimates flow distance and width function using a two-segment-distance strategy and triangulation with linear interpolation method. The evaluation results show that D infinity-TLI outperforms existing algorithms and has a low mean absolute relative error.
ENVIRONMENTAL MODELLING & SOFTWARE
(2024)
