Machine learning for the geosciences: Challenges and opportunities
Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …
problems facing our humanity and the planet. As geosciences enters the era of big data …
Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance
Geoscientists now live in a world rich with digital data and methods, and their computational
research cannot be fully captured in traditional publications. The Geoscience Paper of the …
research cannot be fully captured in traditional publications. The Geoscience Paper of the …
Eight grand challenges in socio-environmental systems modeling
Modeling is essential to characterize and explore complex societal and environmental
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
issues in systematic and collaborative ways. Socio-environmental systems (SES) modeling …
Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics
The ability to model surface processes and to couple them to both subsurface and
atmospheric regimes has proven invaluable to research in the Earth and planetary sciences …
atmospheric regimes has proven invaluable to research in the Earth and planetary sciences …
Position paper: Open web-distributed integrated geographic modelling and simulation to enable broader participation and applications
Integrated geographic modelling and simulation is a computational means to improve
understanding of the environment. With the development of Service Oriented Architecture …
understanding of the environment. With the development of Service Oriented Architecture …
[HTML][HTML] The MODFLOW Application Programming Interface for simulation control and software interoperability
JD Hughes, MJ Russcher, CD Langevin… - … Modelling & Software, 2022 - Elsevier
The MODFLOW API allows other programs to control MODFLOW and interactively change
variables without having to modify the source code. The MODFLOW API is based on the …
variables without having to modify the source code. The MODFLOW API is based on the …
Hydroshare: Sharing diverse environmental data types and models as social objects with application to the hydrology domain
JS Horsburgh, MM Morsy… - JAWRA Journal of …, 2016 - Wiley Online Library
The types of data and models used within the hydrologic science community are diverse.
New repositories have succeeded in making data and models more accessible, but are, in …
New repositories have succeeded in making data and models more accessible, but are, in …
An overview of the model integration process: From pre-integration assessment to testing
GF Belete, A Voinov, GF Laniak - Environmental modelling & software, 2017 - Elsevier
Integration of models requires linking models which can be developed using different tools,
methodologies, and assumptions. We performed a literature review with the aim of …
methodologies, and assumptions. We performed a literature review with the aim of …
Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey
Historically, geoscience has been a prominent domain for applications of computer vision
and pattern recognition. The numerous challenges associated with geoscience-related …
and pattern recognition. The numerous challenges associated with geoscience-related …
A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI)
Abstract Service-oriented approach for model coupling is gradually gaining momentum. By
leveraging the World Wide Web, the service-oriented approach lowers the interoperability …
leveraging the World Wide Web, the service-oriented approach lowers the interoperability …