[HTML][HTML] Web technologies for environmental Big Data

C Vitolo, Y Elkhatib, D Reusser, CJA Macleod… - … Modelling & Software, 2015 - Elsevier
Recent evolutions in computing science and web technology provide the environmental
community with continuously expanding resources for data collection and analysis that pose …

An overview of visualization and visual analytics applications in water resources management

H Xu, A Berres, Y Liu, MR Allen-Dumas… - … Modelling & Software, 2022 - Elsevier
Recent advances in information, communication, and environmental monitoring
technologies have increased the availability, spatiotemporal resolution, and quality of water …

Freshwater systems and ecosystem services: Challenges and chances for cross-fertilization of disciplines

Á Vári, SA Podschun, T Erős, T Hein, B Pataki, IC Iojă… - Ambio, 2022 - Springer
Freshwater ecosystems are among the most threatened in the world, while providing
numerous essential ecosystem services (ES) to humans. Despite their importance, research …

OZCAR: The French network of critical zone observatories

J Gaillardet, I Braud, F Hankard, S Anquetin… - Vadose Zone …, 2018 - Wiley Online Library
Core Ideas OZCAR is a network of sites studying the critical zone. OZCAR covers various
disciplines. OZCAR will help disciplines to work together for a better representation and …

Integrated environmental modeling: a vision and roadmap for the future

GF Laniak, G Olchin, J Goodall, A Voinov, M Hill… - … modelling & software, 2013 - Elsevier
Integrated environmental modeling (IEM) is inspired by modern environmental problems,
decisions, and policies and enabled by transdisciplinary science and computer capabilities …

CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

G Coxon, N Addor, JP Bloomfield… - Earth System …, 2020 - essd.copernicus.org
We present the first large-sample catchment hydrology dataset for Great Britain, CAMELS-
GB (Catchment Attributes and MEteorology for Large-sample Studies). CAMELS-GB collates …

Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges

F Nardi, C Cudennec, T Abrate, C Allouch… - Hydrological …, 2022 - Taylor & Francis
Widely available digital technologies are empowering citizens who are increasingly well
informed and involved in numerous water, climate, and environmental challenges. Citizen …

HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain

DG Tarboton, DP Ames, JS Horsburgh… - … Modelling & Software, 2024 - Elsevier
Recent decades have witnessed a massive increase in the volume and quality of hydrologic
data available to aid water resources decision makers, managers, and scientists. This has …

Searching data: a review of observational data retrieval practices in selected disciplines

K Gregory, P Groth, H Cousijn… - Journal of the …, 2019 - Wiley Online Library
A cross‐disciplinary examination of the user behaviors involved in seeking and evaluating
data is surprisingly absent from the research data discussion. This review explores the data …

[PDF][PDF] Prospective interest of deep learning for hydrological inference

J Marçais, JR de Dreuzy - Groundwater, 2017 - insu.hal.science
Decision making relative to groundwater resources requires the characterization, modeling
and prediction of complex and dynamical systems with many degrees of freedom …