General

Hampton et al. (2015) - The Tao of open science for ecology
Tai and Robinson (2018) - Enhancing Climate Change Research With Open Science
de Vos et al. (2020) - Open weather and climate science in the digital era
Turner et al., 2020 - Cracking “Open” Technology in Ecohydrology
Beck et al. (2020) - The importance of open science for biological assessment of aquatic environments
open-hydrology.github.io - This site
Hydroshare - HydroShare is CUAHSI’s online collaboration environment for sharing data, models, and code

Open Publishing

Blösch et al. (2014) - Joint Editorial—On the future of journal publications in hydrology
Hughes et al., 2014 - Improving the visibility of hydrological sciences from developing countries
Stagge et al. (2019) - Assessing data availability and research reproducibility in hydrology and water resources
Quinn et al. (2020) - Invigorating Hydrological Research Through Journal Publications

Hutton et al., 2016 - Most computational hydrology is not reproducible, so is it really science?
Borregaard & Hart, 2016 - Towards a more reproducible ecology
Mislan et al., 2016 - Elevating The Status of Code in Ecology
Melsen et al., 2017 - Comment on “Most computational hydrology is not reproducible, so is it really science?”
Slater et al., 2019 - Using R in hydrology: a review of recent developments and future directions
Enemark et al. (2019) - Hydrogeological conceptual model building and testing: A review
Powers and Hampton (2019) - Open science, reproducibility, and transparency in ecology
Wagener et al. (2020) - On doing large-scale hydrology with Lions: Realising the value of perceptual models and knowledge accumulation
Añel et al., 2021 - Current status on the need for improved accessibility to climate models code
hydrosoc - Created for EGU GA short course “Using R in Hydrology”
awesome open hydrology - “a specific list of open hydrology-relevant projects. This list is curated from repositories that make our lives as (eco-)hydrologists easier.”
ropensci hydrology - Hydrological Data and Modeling in R. This initiative was built on the EGU GA short course “Using R in Hydrology”

Reichman et al., 2011 - Challenges and Opportunities of Open Data in Ecology
Michener, 2015 - Ecological data sharing
Hydrological Sciences Journal, Volume 65, Issue 5 - “Hydrological data: opportunities and barriers”, in Hydrological Sciences Journal, edited by C. Cudennec, H. Lins, S. Uhlenbrook & B. Arheimer
Cudennec et al. (2020) - Editorial – Towards FAIR and SQUARE hydrological data
Addor et al. (2020) - Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges
- It is a family of national datasets: CAMELS: Addor et al. (2017); CAMELS-CL: Alvarez-Garreton et al. (2018); CAMELS-BR: Chagas et al., 2020; CAMELS-GB: Coxon et al. (2020). There is also a EGU HS session.
Crochemore et al., 2020 - Lessons learnt from checking the quality of openly accessible river flow data worldwide

CUAHSI - Educational Resources for Hydrology & Water Resources
Tom Gleeson (2020) - A buffet of new resources for teaching hydrology and water resources!
Anne van Loon (2020) - Online teaching in courses related to climate risk, drought, water resources and sustainability
Matthias Sprenger (2020) - When the students are gone: Transition to online teaching
Bettina Schaefli (2021) - Open teaching to navigate hydrology: how ready are we?

Viglione et al., 2010 - Barriers to the exchange of hydrometeorological data in Europe: Results from a survey and implications for data policy
Zipper et al. (2019) - Balancing Open Science and Data Privacy in the Water Sciences
Dixon et al., 2020 - Intergovernmental cooperation for hydrometry – what, why and how?
Pecora and Lins (2020) - E-monitoring the nature of water
Mukuyu et al., 2020 - The devil’s in the details: data exchange in transboundary waters
WMO Workshop - “Hydrological data and WMO Data Policy”, in November 2020, as part of the WMO Data Conference