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Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
 

Hydrology and Earth System Sciences 

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Open accessPublic peer reviewArticle level metricsModerate APCs
HESS cover
Open accessPublic peer reviewArticle level metricsModerate APCsFinancial support
Executive editors : Theresa Blume, Alberto Guadagnini, and Thom Bogaard & Hilary McMillan
eISSN: HESS1607-7938, HESSD1812-2116

Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.

Journal metrics

HESS is indexed in the Web of Science, Scopus, Google Scholar, etc. We refrain from displaying the journal metrics prominently on the landing page since citation metrics used in isolation do not describe importance, impact, or quality of a journal. However, these metrics can be found on thejournal metrics page.

News

02 Apr 2025Get involved, become a referee, and help shape the HESS community publication output

We are pleased to announce that a new referee application form is now available. This means that if you are interested in contributing to the peer-review process and supporting high-quality scientific publishing in your community then you can apply today to become a referee. Your expertise can make a difference. Visit the online formhere to learn more and join our reviewer community.

02 Apr 2025Get involved, become a referee, and help shape the HESS community publication output

We are pleased to announce that a new referee application form is now available. This means that if you are interested in contributing to the peer-review process and supporting high-quality scientific publishing in your community then you can apply today to become a referee. Your expertise can make a difference. Visit the online formhere to learn more and join our reviewer community.

02 Apr 2025New co-review option in HESS

HESS now offers a co-review option for referees. Please read more.

02 Apr 2025New co-review option in HESS

HESS now offers a co-review option for referees. Please read more.

13 Mar 2025New agreement between California Digital Library and Copernicus Publications

We are delighted to announce a new agreement between the California Digital Library and Copernicus Publications. The University of California will cover 50% of article processing charges (APCs) for manuscripts affiliated with any of their research units. Read more.

13 Mar 2025New agreement between California Digital Library and Copernicus Publications

We are delighted to announce a new agreement between the California Digital Library and Copernicus Publications. The University of California will cover 50% of article processing charges (APCs) for manuscripts affiliated with any of their research units. Read more.

Recent papers

04 Apr 2025
Can adaptations of crop and soil management prevent yield losses during water scarcity? A modeling study
Malve Heinz, Maria Eliza Turek, Bettina Schaefli, Andreas Keiser, and Annelie Holzkämper
Hydrol. Earth Syst. Sci., 29, 1807–1827,https://doi.org/10.5194/hess-29-1807-2025,https://doi.org/10.5194/hess-29-1807-2025, 2025
Short summary
Short summary
Potato farmers in Switzerland are facing drier conditions and water restrictions. We explored how improving soil health and planting early-maturing potato varieties might help them to adapt. Using a computer model, we simulated potato yields and irrigation water needs under water scarcity. Our results show that earlier-maturing potato varieties reduce the reliance on irrigation but result in lower yields. However, improving soil health can significantly reduce yield losses.
04 Apr 2025
Sub-daily dynamics of urban tree xylem water and ambient vapor
Ann-Marie Ring, Dörthe Tetzlaff, Christian Birkel, and Chris Soulsby
EGUsphere,https://doi.org/10.5194/egusphere-2025-1444,https://doi.org/10.5194/egusphere-2025-1444, 2025
Preprint under review for HESS(discussion: open, 0 comments)
Short summary
Short summary
During summer drought, a clear sub-daily cycling of atmospheric water vapour isotopes (δv) and plant xylem water isotopes (δxyl) was observed. δvdaytime depletion was driven by evaporation and local atmospheric factors (entrainment). δxyldaytime enrichment was consistent with limited sap flow and stomatal regulation of transpiration. Water limitations during drought in urban trees are visible in δxyland ecohydrological data. This sub-daily dataset can help constrain ecohydrological models.
03 Apr 2025
Evolution of low-karstified rock-blocks and their influence on reservoir leakage: a modelling perspective
Youjun Jiao, Franci Gabrovšek, Xusheng Wang, and Qingchun Yu
EGUsphere,https://doi.org/10.5194/egusphere-2025-1320,https://doi.org/10.5194/egusphere-2025-1320, 2025
Preprint under review for HESS(discussion: open, 0 comments)
Short summary
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Dams and reservoirs in karst areas often struggle with significant leakage, making construction both challenging and costly. This study uses a numerical model to show how karst aquifers in water divide regions evolve to form low-karstified rock-blocks (LKB). It also explores how and when these LKBs can significantly reduce leakage across the water divides if a reservoir is built on one side.
03 Apr 2025
Beyond Observed Extremes: Can Hybrid Deep Learning Models Improve Flood Prediction?
Xiaoxiang Guan, Baoying Shan, Viet Dung Nguyen, and Bruno Merz
EGUsphere,https://doi.org/10.5194/egusphere-2025-1509,https://doi.org/10.5194/egusphere-2025-1509, 2025
Preprint under review for HESS(discussion: open, 0 comments)
Short summary
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Understanding and predicting extreme floods is crucial for reducing disaster risks, yet existing models struggle with unprecedented events. We tested multiple modeling approaches across 400+ river catchments in Central Europe and found that deep learning models outperform traditional methods but still underestimate extreme floods. Our findings suggest that combining data-driven models with physical knowledge can improve flood predictions, helping communities better prepare for future extremes.
02 Apr 2025
How seasonal hydroclimate variability drives the triple oxygen and hydrogen isotope composition of small lake systems in semiarid environments
Claudia Voigt, Fernando Gázquez, Lucía Martegani, Ana Isabel Sánchez Villanueva, Antonio Medina, Rosario Jiménez-Espinosa, Juan Jiménez-Millán, and Miguel Rodríguez-Rodríguez
Hydrol. Earth Syst. Sci., 29, 1783–1806,https://doi.org/10.5194/hess-29-1783-2025,https://doi.org/10.5194/hess-29-1783-2025, 2025
Short summary
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This research explores the use of a new isotope tracer,17O excess, to better understand how hydrological processes drive large seasonal water level changes in small lakes in semiarid regions. The study shows that triple oxygen isotopes offer a more detailed understanding of these changes compared to traditional methods. These findings are valuable for reconstructing past climates and predicting how climate change, influenced by human activity, will affect small lakes in these dry areas.

Highlight articles

17 Mar 2025
Meteorological ingredients of heavy precipitation and subsequent lake-filling episodes in the northwestern Sahara
Joëlle C. Rieder, Franziska Aemisegger, Elad Dente, and Moshe Armon
Hydrol. Earth Syst. Sci., 29, 1395–1427,https://doi.org/10.5194/hess-29-1395-2025,https://doi.org/10.5194/hess-29-1395-2025, 2025
Short summaryExecutive editor
Short summary
The Sahara was wetter in the past and may become wetter in the future. Lake remnants are evidence of the desert’s wetter past. If the Sahara gets wetter in the future, these lakes may serve as a water resource. However, it is unclear how these lakes get filled and how moisture is carried into the desert and converted into rain in the first place. Therefore, we examine processes currently leading to the filling of a dry lake in the Sahara, which can help assess future water availability.
Executive editor
This paper is the first to present a mechanism for greening of the Sahara that relies on westerlies intensity as the primary mechanism. This mechanism, which is based on cutting edge analysis and observations, has the potential to move the 30 year-long debate on African Humid Period forward. This interdisciplinary study joins several fields, including climatology, paleoclimate, remote sensing, and hydrology.
27 Feb 2025
CH-RUN: a deep-learning-based spatially contiguous runoff reconstruction for Switzerland
Basil Kraft, Michael Schirmer, William H. Aeberhard, Massimiliano Zappa, Sonia I. Seneviratne, and Lukas Gudmundsson
Hydrol. Earth Syst. Sci., 29, 1061–1082,https://doi.org/10.5194/hess-29-1061-2025,https://doi.org/10.5194/hess-29-1061-2025, 2025
Short summaryExecutive editor
Short summary
This study reconstructs daily runoff in Switzerland (1962–2023) using a deep-learning model, providing a spatially contiguous dataset on a medium-sized catchment grid. The model outperforms traditional hydrological methods, revealing shifts in Swiss water resources, including more frequent dry years and declining summer runoff. The reconstruction is publicly available.
Executive editor
This study integrates deep learning techniques into hydrological modelling to reconstruct runoff data. The extended reconstruction of runoff spanning over six decades (1962-2023) provides an unprecedented data basis to study long-term runoff patterns and trends in Switzerland. The findings spotlight a shift towards less frequent wet years and more frequent dry conditions in Switzerland. This insight is also relevant given the current situation of extreme droughts and floods in Europe.
13 Feb 2025
Creating a national urban flood dataset for China from news texts (2000–2022) at the county level
Shengnan Fu, David M. Schultz, Heng Lyu, Zhonghua Zheng, and Chi Zhang
Hydrol. Earth Syst. Sci., 29, 767–783,https://doi.org/10.5194/hess-29-767-2025,https://doi.org/10.5194/hess-29-767-2025, 2025
Short summaryExecutive editor
Short summary
We create China’s first open county-level urban flood dataset (2000–2022) using news media data with the help of deep learning.  The dataset reflects both natural and societal influences and includes 7595 urban flood events across 2051 counties, covering 46 % of China’s land area. It reveals the predominance of summer floods, an upward trend since 2000, and a decline from southeast to northwest. Notably, some highly developed regions show a decrease, likely due to improved flood management.
Executive editor
This paper uses information from news sites with natural language processing tools to infer data on a hydrological process at the regional scale (flooding). The paper demonstrates the technique's applicability and opens new avenues to use advanced computing techniques and web resources to improve the understanding of hydrological processes.
08 Oct 2024
Characterizing nonlinear, nonstationary, and heterogeneous hydrologic behavior using ensemble rainfall–runoff analysis (ERRA): proof of concept
James W. Kirchner
Hydrol. Earth Syst. Sci., 28, 4427–4454,https://doi.org/10.5194/hess-28-4427-2024,https://doi.org/10.5194/hess-28-4427-2024, 2024
Short summaryExecutive editor
Short summary
Here, I present a new way to quantify how streamflow responds to rainfall across a range of timescales. This approach can estimate how different rainfall intensities affect streamflow.  It can also quantify how runoff response to rainfall varies, depending on how wet the landscape already is before the rain falls. This may help us to understand processes and landscape properties that regulate streamflow and to assess the susceptibility of different landscapes to flooding.
Executive editor
A rigorous analytical hydrological model for Ensemble Rainfall-Runoff Analysis (ERRA) of catchments. The paper gives the concepts, mathematical details and several proof-of-concepts. ERRA was designed as a tool for iterative and exploration of hydrological data, through trial and error with analyses of varying degrees of complexity. The broad geosciences community could benefit from this statistical approach. The discussion cites some good examples of applications possible in hydrology, but potential also in other related fields as well.
20 Sep 2024
Young and new water fractions in soil and hillslope waters
Marius G. Floriancic, Scott T. Allen, and James W. Kirchner
Hydrol. Earth Syst. Sci., 28, 4295–4308,https://doi.org/10.5194/hess-28-4295-2024,https://doi.org/10.5194/hess-28-4295-2024, 2024
Short summaryExecutive editor
Short summary
We use a 3-year time series of tracer data of streamflow and soils to show how water moves through the subsurface to become streamflow. Less than 50% of soil water consists of rainfall from the last 3 weeks. Most annual streamflow is older than 3 months, and waters in deep subsurface layers are even older; thus deep layers are not the only source of streamflow. After wet periods more rainfall was found in the subsurface and the stream, suggesting that water moves quicker through wet landscapes.
Executive editor
The paper includes a very rare 3 year data collection of stable water isotopes in surface and subsurface waters. The innovative analysis challenge general conceptualizations of new precipitation inputs wetting dry soils or displacing previously stored waters from those soils. These observations illustrate how measurements of isotopic variability across different subsurface depths, hillslope positions, and time scales can help to constrain potential flow processes delivering precipitation to deep soils and streams.

More highlight articlesAll EGU highlight articles

Notice on the current situation in Ukraine

To show our support for Ukraine, all fees for papers from authors (first or corresponding authors) affiliated toUkrainian institutions are automatically waived, regardless if these papers are co-authored by scientists affiliated to Russian and/or Belarusian institutions. The only exception will be if the corresponding author or first contact (contractual partner of Copernicus) are from a Russian and/or Belarusian institution, in that case the APCs are not waived.

In accordance with current European restrictions, Copernicus Publications does not step into business relations with and issue APC-invoices (articles processing charges) toRussian and Belarusian institutions. The peer-review process and scientific exchange of our journals including preprint posting is not affected. However, these restrictions require that the first contact (contractual partner of Copernicus) has an affiliation and invoice address outside Russia or Belarus.


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