Geophysical Research Articles

120 Years of earth and environmental sciences in the South African Journal of Science

120 Years of earth and environmental sciences in the South African Journal of Science

A short introduction to neural networks and their application to Earth and Materials Science

A short introduction to neural networks and their application to Earth and Materials Science

Earth Sciences Postdoctoral Fellowships (NSF)

Earth Sciences Postdoctoral Fellowships (NSF)

Calculating ‘climate migrants’: An emerging topology of power

On what basis can it be said that climate change contributes to human migration? What are we to make of new statistical models used to construct the relationship between these two epochal phenomena? This article proposes Collier’s conception of topology to characterize the novel politics of gravity modelling, a technique increasingly used to calculate numeric estimates of ‘climate migrants’. These models do not simply signify a revival or repetition of political sovereignty, nor an affirmation of biopower, but a novel recalibration of power arising in response to the climate crisis. This recalibration signals the early stages of a new topology of power organized around intuitive calculation. To make this claim, the article draws on recent discussions in geography on the relationship between calculation, number and the political to first situate the models within contemporary critical scholarship on climate change and migration. It then examines the models’ statistical logics, in particular how intuition, inference and the incalculable shape three facets of this emerging topology: the correlation of Earth science data with population-level economic data; the calculation of mobile populations; and the unique spatiality at stake in gravity modelling.

Is It Always Advisable to Promote Geodiversity and Geoheritage in a Traditional Recreational Area? A Case Study from Brno Reservoir and Its Surroundings (Czechia)

Geodiversity and geoheritage represent an important resource for geotourism and subsequent economic development both in remote natural areas and in traditional, frequently visited recreational areas. Identification, assessment, and suitable management of particular geosites may contribute to the development of sustainable forms of tourism and attract more people to the topics of geodiversity and geoheritage. However, if there is only one aim represented by geotourism development, there can be a danger of overexploitation of geoheritage, especially if the sites are promoted less adequately and not provided suitable protection. This paper is focused on the assessment of particular sites, in terms of their Earth science interest, regarding their geotourist and geoeducational potential; it is also focused on an assessment of possible risks and threats which may be related to the higher promotion and more intensive use of these sites. Based on this, proposals for sustainable management, both for geotourism and geoeducational development and nature conservation, are presented and discussed.

AI-Enhanced Remote Sensing Applications in Earth Science Processes for Enhancing Sanitation Workers’ Safety

AI-Enhanced Remote Sensing Applications in Earth Science Processes for Enhancing Sanitation Workers’ Safety

Report on the “National Conference on Women in Geosciences: Opportunities, Challenges and Accomplishments”, (2- 4 September, 2024) National Centre for Earth Science Studies, MoES, Thiruvananthapuram

Report on the “National Conference on Women in Geosciences: Opportunities, Challenges and Accomplishments”, (2- 4 September, 2024) National Centre for Earth Science Studies, MoES, Thiruvananthapuram

Comprehensive carbon footprint of Earth, environmental and space science laboratories: Implications for sustainable scientific practice

To limit global warming below 2°C, a drastic overall reduction from current green-house gas emissions is needed. Scientists should also participate in this effort in their professional activity and especially Earth scientists, on the grounds of maintaining credibility and leading by example. The strategies and measures to reach a low-carbon scientific activity require detailed estimates of the current footprint of laboratories. Here, we present the footprint of six laboratories in Earth, environmental and space sciences, with a comprehensive scope also including international research infrastructures. We propose a novel method to attribute a part of the footprint of any research infrastructure to the laboratory using it. Our results highlight that most laboratories have annual footprints reaching 10–20 tonnes CO2equivalent per person (tCO2e p-1), dominated by infrastructures and specifically satellites in three cases (with footprints up to 11 tCO2e p-1), while air-travels and purchases remain within the top three sources in all cases (2–4 tCO2e p-1 each). Consequently, footprints related to commuting and laboratory functioning, about 2 tCO2e p-1 or less, are relatively modest compared to infrastructures, purchases and air-travels. Thus, reduction measures ignoring infrastructures may not be able to achieve reductions larger than 20 to 35% even with flight quotas and a substantial reduction of purchases. Finally, we also discuss how a deeper transformation of scientific practices, away from competitive, grant-based and innovation-oriented current practices, could make Earth and environmental sciences more sustainable and at the forefront of rapid and drastic changes in the whole society toward environment and climate preservation.

Experimental investigation of the interplay between transverse mixing and pH reaction in porous media

Abstract. pH-induced reactive transport in porous environments is a critical factor in Earth sciences, influencing a range of natural and anthropogenic processes, such as mineral dissolution and precipitation, adsorption and desorption, microbial reactions, and redox transformations. These processes, pivotal to carbon capture and storage (CCS) applications to groundwater remediation, are determined by pH transport. However, the uncertainty in these macroscopic processes’ stems from pore-scale heterogeneities and the high diffusion value of the ions and protons forming the pH range. While practical for field-scale applications, traditional macroscopic models often fail to accurately predict experimental and field results in reactive systems due to their inability to capture the details of the pore-scale pH range. This study investigates the interplay between transverse mixing and pH-driven reactions in porous media. It focuses on how porous structure and flow rate affect mixing and chemical reaction dynamics. Utilizing confocal microscopy, the research visualizes fluorescently labeled fluids, revealing variations in mixing patterns from diffusive in homogeneous to shear-driven in heterogeneous media. However, pH-driven reactions show a different pattern, with a faster reaction rate, suggesting quicker pH equilibration between co-flowing fluids than predicted by transverse dispersion or diffusion. The study highlights the unique characteristics of pH change in water, which significantly influences reactive transport in porous media.

Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System

Abstract Navigating uncertainty is a critical challenge in all fields of science, especially when translating knowledge into real-world policies or management decisions. However, the wide variance in concepts and definitions of uncertainty across scientific fields hinders effective communication. As a microcosm of diverse fields within Earth Science, NASA’s Carbon Monitoring System (CMS) provides a useful crucible in which to identify cross-cutting concepts of uncertainty. The CMS convened the Uncertainty Working Group (UWG), a group of specialists across disciplines to evaluate and synthesize efforts to characterize uncertainty in CMS projects. This paper represents efforts by the UWG to build a heuristic framework designed to evaluate data products and communicate uncertainty to both scientific and non-scientific end users. We consider four pillars of uncertainty: addressing its origins, severity, stochasticity versus incomplete knowledge, and spatial and temporal autocorrelation. Using a common vocabulary and a generalized workflow, the framework introduces a graphical heuristic accompanied by a narrative, exemplified through contrasting case studies. Envisioned as a versatile tool, this framework provides clarity in reporting uncertainty, guiding users and tempering expectations. Beyond CMS, it stands as a simple yet powerful means to communicate uncertainty across diverse scientific communities.

Structural geological surveys and improvement of tectonic understating of the Pre-Ordovician/Tertiary Graben boundary in vicinity of Nicolaus Copernicus Polar Station, Svalbard

Researchers around the globe are on a quest to develop solutions to mitigate and prevent global warming and climate change. This includes facilitating the switch to renewable energies. Assistant Professor Slawomir Jack Giletycz, Director of the Polar Research Station in Svalbard and part of the Structural Geomorphology Research Group, Department of Earth Sciences at National Central University in Taiwan, is interested in glacial retreat in Svalbard, Norway. As the Earth warms, glaciers are melting and land that was previously buried by glaciers is being exposed. By studying this land, researchers can glean new insights. For example, Giletycz and his collaborators are performing geological mapping of areas that have been recently exposed to subaerial conditions due to the glacial retreat. They are working to develop new geological maps and interpret tectonic and structural settings. The researchers are also investigating fluvial system development and surveying particular glaciers. They are using unmanned aerial vehicles to capture aerial images of entire glacier river systems and can use the images to build a digital surface model that can be used in applications such as QGiS or ArcGiS. In the long tem, they can monitor the development of glacier fluvial systems such as sediment discharge. Another focus for the researchers is conducting plaeocoast surveys of the Kaffiøyra plain in western Svalbard. Excitingly, the researchers are the first humans to study Svalbard in this way and, through this work, they will make significant contributions to geological mapping and underpin geology, tectonics and structures.

Supporting inclusion in teaching and learning STEM subjects within the DISCO+ project

Aim. The objectives of DISCO+ (Dropout and Inclusion at SChOol) project are two- fold: to implement an inclusive approach and prevent early school leaving in STEM sub- jects. The participating partner institutions apply cooperative engineering to develop units in mathematics and science subjects that can be implemented in different European educational contexts to meet the project objectives. Within the project (WP2) 16 transna- tional groups of pre- and in- service teachers take part in an eTwinning digital training sessions on the notion of school inclusion in Europe, the implementation of the principle of equality between girls and boys, the development of the critical thinking in learning scientific disciplines. Small group discussions refine each participant’s understanding of the issues involved, and the work carried out makes it possible to go beyond the local character of the definitions and to reach a common and shared understanding of the intercultural nuances present in each country. These exchanges will help build links be- tween participants and create a network of European colleagues. The groups’ experience books will serve as a basis for posters, which will be presented in June 2024. These pres- entations can be filmed and contribute to a 5-hour MOOC, which will be developed at a later phase in the project. Methods. By adopting a methodology which includes collectively designing teach- ing-learning sequences in transnational context, the project applies transnational engi- neering. Each partner involved in the creation of one or more teaching-learning sequenc- es must question the conditions of transferability of its point of view, its analyses and its testimonies in different educational contexts. In other words, the intercultural component of sequences designed jointly by partners from different countries should be ensured by addressing socially relevant issues and enriching their treatment with a variety of cul- tural viewpoints. The design of sequences on a transnational scale from this intercultural perspective will also make it possible to deal with the language issue in subjects such as mathematics and science. This methodology intends to develop a common culture on key issues such as sustainable development, inclusion and gender equality and to contribute to the creation of a European citizenship. Results. The activities will result in several deliverables, which include a round ta- ble, dedicated to the notion of school inclusion on a European scale, a four-month long eTwinning digital training in 16 transnational groups (teacher trainees, practioners) dis- cussing and exchanging ideas on inclusion in European education systems, teaching Sci- ence subjects, equality of girls and boys and developing critical thinking. Group experi- ence notebooks will be published as the result of exchanges between students, and will be dissemminated through the realisation of a poster session allowing the mutualisation of the work of the different working (16 transnational) groups. During the implementa- tion of „cooperative engineering” around inclusion and STEM teaching approaches by deconstructing representations of these objects to identify European variables and in- variants, an „online serious game”, and an accompanying guide is to be developed. The production of at least 4 teaching units (one per transnational team), two of which will be in mathematics and two in earth sciences (at least one unit is taught in the mother tongue and another in a CLIL approach) will be filmed and analysed by each “cooperative en- gineering” group on the eTwinning platform. Several activities will be used to produce resources, which in turn will be scripted into am5-hour MOOC training module to be made available on the platform already developed as part of the DICO+ project. Conclusions. In conclusion, the structure of the DISCO+ project will enable it to ad- dress the entire educational community in each country, including pupils, teachers, fu- ture teachers, trainers of trainers and inspectors.

Challenges and opportunities for open access book publishing: A perspective from a society publisher in the geosciences

AbstractThe American Geophysical Union (AGU), a scholarly society serving the Earth and space sciences, has a conventional books portfolio with their publisher, Wiley, and a new partnership with the Geological Society of London for an open access (OA) book series. The latter serves authors who need (because of funding mandates) or want to publish OA and comes with added benefits, including a production workflow to facilitate faster times to online publication. Flexibility in how the costs of individual volumes can be covered aims to encourage uptake, but challenges lie ahead in ensuring that all authors can equitably choose OA for their book project. This commentary contributes to the collection in Area about the evolving OA books landscape, addressing many of the challenges described by Gandy, and describing the start of AGU's journey towards OA books. It brings a perspective from the sciences, where books are mostly large, edited volumes with many international contributors, many of them physical geographers. Their experiences of funding, motivation and recognition for contributing to books may be quite different to human geographers more familiar with the sole‐authored monograph format.

Toward Utilizing Similarity in Hydrologic Data Assimilation

Similarity to reality is a necessary property of models in earth sciences. Similarity information can thus possess a large potential in advancing geophysical modeling and data assimilation. We present a formalism for utilizing similarity within the existing theoretical data assimilation framework. Two examples illustrate the usefulness of utilizing similarity in data assimilation. The first, theoretical example shows changes in the accuracy of the amplitude estimate in the presence of a phase error in a sine function, where correcting the phase error prior to the assimilation reduces the degree of ill-posedness of the assimilation problem. This signifies the importance of accounting for the phase error in order to reduce the error in the amplitude estimate of the sine function. The second, real-world example illustrates that timing errors in simulated flow degrade the data assimilation performance, and that the flow gradient-informed shifting of rainfall time series improved the assimilation results with less adjusting model states. This demonstrates the benefit of utilizing streamflow gradients in shifting rainfall time series in a way to improve streamflow timing—vital information for flood early warning and preparedness planning. Finally, we discuss the implications, potential issues, and future challenges associated with utilizing similarity in hydrologic data assimilation.

EarthCODE – ESA’s Earth Science Collaborative Open Development Environment

Abstract. Earth Observations (EO) have become crucial for advancing climate and Earth System research, enabling significant scientific discoveries. Advanced EO missions, such as ESA’s Earth Explorers and the EU's Copernicus Programme, provide vast data volumes and continuous and global observations with cutting-edge technology, a vital resource for understanding processes and interactions within Earth's sub-systems, offering critical evidence of climate change impacts on society and ecosystems. Open access to such data products has been instrumental in facilitating global scientific collaboration and innovation. Reproducibility in Earth Science is essential for validating discoveries, enabling the scientific community to trust and build upon each other’s work. Open data, coupled with open-source software, is key to achieving this reproducibility, ensuring transparency, and facilitating peer review. Addressing scientific challenges requires collaborative efforts supported by fit-for-purpose technology to enable new insights and ensuring they are FAIR (findable, accessible, interoperable, and reusable), trustable and up to date, supporting long-term climate studies and action-driven science. Several initiatives within ESA’s Earth Observation Programme are fostering FAIR and Open Science. EarthCODE is one such initiative, focusing on implementing ESA’s vision of EO Open Science and Innovation by adopting FAIR and Open principles in Earth Science activities funded by ESA’s FutureEO Programme. EarthCODE leverages existing European platform solutions for effective cloud-based analyses of EO data and higher-level geospatial products. It aims to ensure the persistence of end-to-end scientific workflows and provide means for managing open research data, including data, code, and documentation. EarthCODE aims to make Earth Science research more reproducible, transparent, and collaborative, driving progress in understanding and addressing global environmental challenges.

The coverage of basic and applied research in press releases on EurekAlert!

Research organisations routinely reach out to the media via press releases to announce research news and promote advances in science. This paper explores the presence of basic and applied research in press releases issued through EurekAlert!. Using a scientometric approach to classify research papers featured in press releases into basic and applied research, we found that more than half of the press releases in our dataset were related to basic research. This trend was particularly notable in life and earth sciences, physical sciences, and engineering fields. In contrast, press releases in the biomedical and health sciences, as well as in social sciences and humanities, were more frequently associated with applied research. Additionally, we present findings on the similarity and readability of press releases compared to their corresponding research papers, which confirm the role of institutional press officers in making research papers more accessible to the public and media. This adaptation appears to be more pronounced for basic research.

Bayesian Ensemble Kalman Filter for Gaussian Mixture Models

AbstractInverse theory and data assimilation methods are commonly used in earth and environmental science studies to predict unknown variables, such as the physical properties of underground rocks, from a set of measured geophysical data, like geophysical seismic or electromagnetic data. A new Bayesian approach based on the ensemble Kalman filter using Gaussian mixture models is presented to overcome the assumption of Gaussian distribution of the unknown variables commonly used in the data assimilation literature and to generalize the algorithm to inverse problems with multimodal probability distributions. In applications of subsurface characterization, the multimodality of the unknown variables is generally due to the presence of different rock types, also known as geological facies. In the proposed method, the weights of the Gaussian mixture model represent the facies proportions, and they follow a Markov chain model. The proposed Bayesian model generates the unknown model parameters conditioned on measured data using a Markov chain Monte Carlo sampler. The validity of the method is demonstrated on a data assimilation problem where the goal is to estimate the posterior distribution of the unknown rock density from a set of repeated measurements of acoustic wave velocity measured at different times. The proposed method provides accurate estimates with efficient computational times.

Can AI Get a Degree in Geoscience? Performance Analysis of a GPT-Based Artificial Intelligence System Trained for Earth Science (GeologyOracle)

Generative artificial intelligence systems based on the GPT model have shown groundbreaking capabilities in producing scientific texts, revolutionising how geoscientists research and teach. However, there is a noticeable absence of generative AI systems tailored specifically for geoscience, and the efficacy of GPT technology has not been examined within the Earth Science realm. To fill these gaps, we propose a new artificial intelligence system (GeologyOracle) built upon the GPT-4o model and trained on Earth Science data. It is designed to simulate a conversation with a geoscientist, having the capabilities to analyse geologic datasets, suggest new geoscience hypotheses, explain Earth-Science concepts, and interpret geosites. To evaluate the performance of GeologyOracle, the system was tested with 152 geoscience questions provided and evaluated by a panel of geoscience academics on a scale of 0–10. Performance analysis revealed that 79.6% of the answers scored equal to or above the passing mark of 5, with a tendency to deliver high-quality responses (mean: 6.5; median = 7; interquartile range: 5–8). The results demonstrate that GeologyOracle is effective in performing complex geoscience tasks, such as identifying rocks, fossils, and minerals, and interpreting outcrop, core data, and quantitative datasets. The new AI system has exhibited noteworthy ability in the interpretation of internationally-acknowledged geosites situated within geoparks and nature reserves. The performance of the AI system is comparable to that of trained geoscience specialists, suggesting its potential as an assistant in various geoscience fields, including structural geology, palaeontology, geomorphology, sedimentology, and economic geology. While AI does not render geoscientists obsolete, it offers significant potential for accelerating scientific discovery, automating geoscience research, and assisting educators, students, and geotourists.

A Closer Examination of Earth and Life Science Teachers’ Science and Engineering Integration

A Closer Examination of Earth and Life Science Teachers’ Science and Engineering Integration

Electromagnetic and Radon Earthquake Precursors

Earthquake forecasting is arguably one of the most challenging tasks in Earth sciences owing to the high complexity of the earthquake process. Over the past 40 years, there has been a plethora of work on finding credible, consistent and accurate earthquake precursors. This paper is a cumulative survey on earthquake precursor research, arranged into two broad categories: electromagnetic precursors and radon precursors. In the first category, methods related to measuring electromagnetic radiation in a wide frequency range, i.e., from a few Hz to several MHz, are presented. Precursors based on optical and radar imaging acquired by spaceborne sensors are also considered, in the broad sense, as electromagnetic. In the second category, concentration measurements of radon gas found in soil and air, or even in ground water after being dissolved, form the basis of radon activity precursors. Well-established mathematical techniques for analysing data derived from electromagnetic radiation and radon concentration measurements are also described with an emphasis on fractal methods. Finally, physical models of earthquake generation and propagation aiming at interpreting the foundation of the aforementioned seismic precursors, are investigated.