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- About
- Editorial board
- Articles
- Special issues
- Highlight articles
- Manuscript tracking
- Subscribe to alerts
- Peer review
- For authors
- For reviewers
- EGU publications
- Imprint
- Data protection
-
About
- Aims & scope
- Subject areas
- Manuscript types
- Licence & copyright
- Publication policy
- Data policy
- Publication ethics
- Competing interests policy
- Article level metrics
- News & press
- FAQs
- General terms
- Contact
- Print subscription
- XML harvesting & OAI-PMH
- Jim Dooge Award
- Outstanding Editor Award
- Journal metrics
- Abstracted & indexed
- Editorial board
- Articles
- Special issues
- Highlight articles
- Manuscript tracking
- Peer review
- For authors
- For reviewers
- EGU publications
- Imprint
- Data protection
Journal metrics
Journal metrics
IF 4.936
5.615CiteScore
4.94SNIP 1.612
SJR 2.134
index 107h5-index 63
Abstracted/indexed
Abstracted/indexed
Volume 21, issue 12
Hydrol. Earth Syst. Sci., 21, 6401-6423, 2017
https://doi.org/10.5194/hess-21-6401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Special issue: Sub-seasonal to seasonal hydrological forecasting
Hydrol. Earth Syst. Sci., 21, 6401-6423, 2017
https://doi.org/10.5194/hess-21-6401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6401-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article 15 Dec 2017
Research article | 15 Dec 2017
Development of a monthly to seasonal forecast framework tailored to inland waterway transport in central Europe
Dennis Meißner et al.Related authors
No articles found.
Aurel Perşoiu, Monica Ionita, and Harvey Weiss
Clim. Past, 15, 781-793, https://doi.org/10.5194/cp-15-781-2019, https://doi.org/10.5194/cp-15-781-2019, 2019
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We present a reconstruction of winter climate around 4.2 ka cal BP in Europe, west Asia, and northern Africa that shows generally low temperatures and heterogeneously distributed precipitation. We hypothesize that in the extratropical Northern Hemisphere the 4.2 ka BP event was caused by the strengthening and expansion of the Siberian High, which effectively blocked the moisture-carrying westerlies from reaching west Asia and also resulted in outbreaks of northerly cold and dry winds.
Monica Ionita, Klaus Grosfeld, Patrick Scholz, Renate Treffeisen, and Gerrit Lohmann
Earth Syst. Dynam., 10, 189-203, https://doi.org/10.5194/esd-10-189-2019, https://doi.org/10.5194/esd-10-189-2019, 2019
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Based on a simple statistical model we show that the September sea ice extent has a high predictive skill, up to 4 months ahead, based on previous months' oceanic and atmospheric conditions. Our statistical model skillfully captures the interannual variability of the September sea ice extent and could provide a valuable tool for identifying relevant regions and oceanic and atmospheric parameters that are important for the sea ice development in the Arctic.
Monica Ionita, Patrick Scholz, Klaus Grosfeld, and Renate Treffeisen
Earth Syst. Dynam., 9, 939-954, https://doi.org/10.5194/esd-9-939-2018, https://doi.org/10.5194/esd-9-939-2018, 2018
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In austral spring 2016 the Antarctic region experienced anomalous sea ice retreat in all sectors, with sea ice extent in October and November 2016 being the lowest in the Southern Hemisphere over the observational record (1979–present). The extreme sea ice retreat was accompanied by the wettest and warmest spring on record, over large areas covering the Indian ocean, the Ross Sea, and the Weddell Sea.
Carmen-Andreea Bădăluță, Aurel Perșoiu, Monica Ionita, Viorica Nagavciuc, and Petruț-Ionel Bistricean
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-6, https://doi.org/10.5194/hess-2018-6, 2018
Manuscript not accepted for further review
Norel Rimbu, Monica Ionita, Markus Czymzik, Achim Brauer, and Gerrit Lohmann
Clim. Past Discuss., https://doi.org/10.5194/cp-2017-137, https://doi.org/10.5194/cp-2017-137, 2017
Manuscript not accepted for further review
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Multi-decadal to millennial flood frequency variations in the Mid- to Late Holocene in a flood layer record from Lake Ammersee is strongly related to the occurrence of extreme precipitation and temperatures in the northeastern Europe.
Gregor Laaha, Tobias Gauster, Lena M. Tallaksen, Jean-Philippe Vidal, Kerstin Stahl, Christel Prudhomme, Benedikt Heudorfer, Radek Vlnas, Monica Ionita, Henny A. J. Van Lanen, Mary-Jeanne Adler, Laurie Caillouet, Claire Delus, Miriam Fendekova, Sebastien Gailliez, Jamie Hannaford, Daniel Kingston, Anne F. Van Loon, Luis Mediero, Marzena Osuch, Renata Romanowicz, Eric Sauquet, James H. Stagge, and Wai K. Wong
Hydrol. Earth Syst. Sci., 21, 3001-3024, https://doi.org/10.5194/hess-21-3001-2017, https://doi.org/10.5194/hess-21-3001-2017, 2017
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In 2015 large parts of Europe were affected by a drought. In terms of low flow magnitude, a region around the Czech Republic was most affected, with return periods > 100 yr. In terms of deficit volumes, the drought was particularly severe around S. Germany where the event lasted notably long. Meteorological and hydrological events developed differently in space and time. For an assessment of drought impacts on water resources, hydrological data are required in addition to meteorological indices.
Monica Ionita, Lena M. Tallaksen, Daniel G. Kingston, James H. Stagge, Gregor Laaha, Henny A. J. Van Lanen, Patrick Scholz, Silvia M. Chelcea, and Klaus Haslinger
Hydrol. Earth Syst. Sci., 21, 1397-1419, https://doi.org/10.5194/hess-21-1397-2017, https://doi.org/10.5194/hess-21-1397-2017, 2017
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This paper analyses the European summer drought of 2015 from a climatological perspective, including its origin and spatial and temporal development, and how it compares with the 2003 event. It discusses the main contributing factors controlling the occurrence and persistence of the event: temperature and precipitation anomalies, blocking episodes and sea surface temperatures. The results represent the outcome of a collaborative initiative of members of UNESCO’s FRIEND-Water program.
Norel Rimbu, Markus Czymzik, Monica Ionita, Gerrit Lohmann, and Achim Brauer
Clim. Past, 12, 377-385, https://doi.org/10.5194/cp-12-377-2016, https://doi.org/10.5194/cp-12-377-2016, 2016
Related subject area
Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
Evaluating the relative importance of precipitation, temperature and land-cover change in the hydrologic response to extreme meteorological drought conditions over the North American High Plains
Identifying El Niño–Southern Oscillation influences on rainfall with classification models: implications for water resource management of Sri Lanka
Assessing the impact of resolution and soil datasets on flash-flood modelling
The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins
Evaluating seasonal hydrological extremes in mesoscale (pre-)Alpine basins at coarse 0.5° and fine hyperresolution
Twenty-first-century glacio-hydrological changes in the Himalayan headwater Beas River basin
Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments
Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data-sparse catchment in southwestern Nigeria
Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory
A simple topography-driven and calibration-free runoff generation module
Quantifying projected changes in runoff variability and flow regimes of the Fraser River Basin, British Columbia
Linear Optimal Runoff Aggregate (LORA): a global gridded synthesis runoff product
Parameter-state ensemble thinning for short-term hydrological prediction
Perspectives and ambitions of interdisciplinary connectivity researchers
Statistical approaches for identification of low-flow drivers: temporal aspects
Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed
Understanding variability in root zone storage capacity in boreal regions
Modeling the spatial dependence of floods using the Fisher copula
Storage dynamics, hydrological connectivity and flux ages in a karst catchment: conceptual modelling using stable isotopes
Climate change effects on the hydrology of the headwaters of the Tagus River: implications for the management of the Tagus–Segura transfer
Redressing the balance: quantifying net intercatchment groundwater flows
Evaluating post-processing approaches for monthly and seasonal streamflow forecasts
Empirical and analytical methods to characterize the efficiency of floods to move sediment in a small semi-arid basin
Analysis of combined and isolated effects of land-use and land-cover changes and climate change on the upper Blue Nile River basin's streamflow
A propensity index for surface runoff on a karst plateau
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Why increased extreme precipitation under climate change negatively affects water security
Hydrological functioning of western African inland valleys explored with a critical zone model
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community
Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods
Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin
Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale
Assessment of hydrological pathways in East African montane catchments under different land use
Modeling freshwater quality scenarios with ecosystem-based adaptation in the headwaters of the Cantareira system, Brazil
A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations
How good are hydrological models for gap-filling streamflow data?
Incremental model breakdown to assess the multi-hypotheses problem
How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps
Modelling biocide and herbicide concentrations in catchments of the Rhine basin
Multimodel assessment of climate change-induced hydrologic impacts for a Mediterranean catchment
Riparian evapotranspiration is essential to simulate streamflow dynamics and water budgets in a Mediterranean catchment
Recent changes to the hydrological cycle of an Arctic basin at the tundra–taiga transition
Contributions of catchment and in-stream processes to suspended sediment transport in a dominantly groundwater-fed catchment
Dynamics of water fluxes and storages in an Alpine karst catchment under current and potential future climate conditions
On the dynamic nature of hydrological similarity
The temporally varying roles of rainfall, snowmelt and soil moisture for debris flow initiation in a snow-dominated system
Hydroclimatic control on suspended sediment dynamics of a regulated Alpine catchment: a conceptual approach
Time-varying parameter models for catchments with land use change: the importance of model structure
Hydro-stochastic interpolation coupling with the Budyko approach for prediction of mean annual runoff
Demonstrating the
Annette Hein, Laura Condon, and Reed Maxwell
Hydrol. Earth Syst. Sci., 23, 1931-1950, https://doi.org/10.5194/hess-23-1931-2019, https://doi.org/10.5194/hess-23-1931-2019, 2019
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Drought is a natural disaster that can result from changes to temperature, precipitation and/or vegetation. Here we apply a
high-resolution computer model to explore the relative importance of each factor on the North American High Plains, one of the most important agricultural regions of the USA. Decreased precipitation caused larger changes in hydrologic variables (evapotranspiration, soil moisture, stream flow and water table levels) than increased temperature or disturbed vegetation did.
Thushara De Silva M. and George M. Hornberger
Hydrol. Earth Syst. Sci., 23, 1905-1929, https://doi.org/10.5194/hess-23-1905-2019, https://doi.org/10.5194/hess-23-1905-2019, 2019
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Season-ahead rainfall forecast is very important for water resource management. Classification methods are used to identify the extreme rainfall classes dry and wet using climate teleconnections. These models can be used for river basin areal rainfall forecast and water resources and power generation planning for climate uncertainty. Water resource management decisions are informed by forecasts of El Niño–Southern Oscillation and Indian Ocean Dipole phenomena.
Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 23, 1801-1818, https://doi.org/10.5194/hess-23-1801-2019, https://doi.org/10.5194/hess-23-1801-2019, 2019
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This work aims to estimate the extent to which the terrain descriptors and the spatial resolution of the hydrological model influence flash-flood modelling at the local and basin scale. The skill of the hydrological simulations is evaluated with conventional data (such as discharge measurements) and impact data (post-event surveys and high-water marks). The results reveal that the spatial resolution has the largest impact on the hydrological simulations, larger than soil texture and land cover.
Imme Benedict, Chiel C. van Heerwaarden, Albrecht H. Weerts, and Wilco Hazeleger
Hydrol. Earth Syst. Sci., 23, 1779-1800, https://doi.org/10.5194/hess-23-1779-2019, https://doi.org/10.5194/hess-23-1779-2019, 2019
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The spatial resolution of global climate models (GCMs) and global hydrological models (GHMs) is increasing. This model study examines the benefits of a very high-resolution GCM and GHM in representing the hydrological cycle in the Rhine and Mississippi basins. We find that a higher-resolution GCM results in an improved precipitation budget, and therefore an improved hydrological cycle for the Rhine. For the Mississippi, no substantial improvements are found with increased resolution.
Joost Buitink, Remko Uijlenhoet, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 23, 1593-1609, https://doi.org/10.5194/hess-23-1593-2019, https://doi.org/10.5194/hess-23-1593-2019, 2019
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This study describes how the spatial resolution of hydrological models affects the model results. The high-resolution model allowed for more spatial variability than the low-resolution model. As a result, the low-resolution model failed to capture most variability that was simulated with the high-resolution model. This has implications for the interpretation of results carried out at coarse resolutions, as they may fail to represent the local small-scale variability.
Lu Li, Mingxi Shen, Yukun Hou, Chong-Yu Xu, Arthur F. Lutz, Jie Chen, Sharad K. Jain, Jingjing Li, and Hua Chen
Hydrol. Earth Syst. Sci., 23, 1483-1503, https://doi.org/10.5194/hess-23-1483-2019, https://doi.org/10.5194/hess-23-1483-2019, 2019
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The study used an integrated glacio-hydrological model for the hydrological projections of the Himalayan Beas basin under climate change. It is very likely that the upper Beas basin will get warmer and wetter in the future. This loss in glacier area will result in a reduction in glacier discharge, while the future changes in total discharge are uncertain. The uncertainty in future hydrological change is not only from GCMs, but also from the bias-correction methods and hydrological modeling.
Judith Meyer, Irene Kohn, Kerstin Stahl, Kirsti Hakala, Jan Seibert, and Alex J. Cannon
Hydrol. Earth Syst. Sci., 23, 1339-1354, https://doi.org/10.5194/hess-23-1339-2019, https://doi.org/10.5194/hess-23-1339-2019, 2019
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Several multivariate bias correction methods have been developed recently, but only a few studies have tested the effect of multivariate bias correction on hydrological impact projections. This study shows that incorporating or ignoring inter-variable relations between air temperature and precipitation can have a notable effect on the projected snowfall fraction. The effect translated to considerable consequences for the glacio-hydrological responses and streamflow components of the catchments.
Abolanle E. Odusanya, Bano Mehdi, Christoph Schürz, Adebayo O. Oke, Olufiropo S. Awokola, Julius A. Awomeso, Joseph O. Adejuwon, and Karsten Schulz
Hydrol. Earth Syst. Sci., 23, 1113-1144, https://doi.org/10.5194/hess-23-1113-2019, https://doi.org/10.5194/hess-23-1113-2019, 2019
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The main objective was to calibrate and validate the eco-hydrological model Soil and Water Assessment Tool (SWAT) with satellite-based actual evapotranspiration (AET) data for the data-sparse Ogun River Basin (20 292 km2) located in southwestern Nigeria. The SWAT model, composed of the Hargreaves PET equation and calibrated using the GLEAM_v3.0a data (GS1), performed well for the simulation of AET and provided a good level of confidence for using the SWAT model as a decision support tool.
Stephanie Thiesen, Paul Darscheid, and Uwe Ehret
Hydrol. Earth Syst. Sci., 23, 1015-1034, https://doi.org/10.5194/hess-23-1015-2019, https://doi.org/10.5194/hess-23-1015-2019, 2019
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We present a data-driven approach created to explore the full information of data sets, avoiding parametric assumptions. The evaluations are based on Information Theory concepts, introducing an objective measure of information and uncertainty. The approach was applied to automatically identify rainfall-runoff events in discharge time series, however it is generic enough to be adapted to other practical applications.
Hongkai Gao, Christian Birkel, Markus Hrachowitz, Doerthe Tetzlaff, Chris Soulsby, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 23, 787-809, https://doi.org/10.5194/hess-23-787-2019, https://doi.org/10.5194/hess-23-787-2019, 2019
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Supported by large-sample ecological observations, a novel, simple and topography-driven runoff generation module (HSC-MCT) was created. The HSC-MCT is calibration-free, and therefore it can be used to predict in ungauged basins, and has great potential to be generalized at the global scale. Also, it allows us to reproduce the variation of saturation areas, which has great potential to be used for broader hydrological, ecological, climatological, and biogeochemical studies.
Siraj Ul Islam, Charles L. Curry, Stephen J. Déry, and Francis W. Zwiers
Hydrol. Earth Syst. Sci., 23, 811-828, https://doi.org/10.5194/hess-23-811-2019, https://doi.org/10.5194/hess-23-811-2019, 2019
Sanaa Hobeichi, Gab Abramowitz, Jason Evans, and Hylke E. Beck
Hydrol. Earth Syst. Sci., 23, 851-870, https://doi.org/10.5194/hess-23-851-2019, https://doi.org/10.5194/hess-23-851-2019, 2019
Bruce Davison, Vincent Fortin, Alain Pietroniro, Man K. Yau, and Robert Leconte
Hydrol. Earth Syst. Sci., 23, 741-762, https://doi.org/10.5194/hess-23-741-2019, https://doi.org/10.5194/hess-23-741-2019, 2019
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This paper explores a new method of predicting streamflow using a complex model. It makes use of streamflow observations to reduce an existing ensemble of model runs for predictive purposes. The study illustrated that the method could work given the proper constraints, which were only possible if there was enough knowledge about how the river responded to precipitation in the previous months. Ideas were discussed to allow the method to be used in a way to predict future streamflow.
Eva Nora Paton, Anna Smetanová, Tobias Krueger, and Anthony Parsons
Hydrol. Earth Syst. Sci., 23, 537-548, https://doi.org/10.5194/hess-23-537-2019, https://doi.org/10.5194/hess-23-537-2019, 2019
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We reviewed research perspectives and ambitions of connectivity scientists in order to improve joint connectivity research across disciplinary boundaries. We demonstrated the wide diversity of approaching science in the community. We introduced a shared mental model approach with an exploratory case study as a way to overcome persistent barriers in understanding by identifying gaps and overlaps of individual researchers' perspectives, which improves collaboration in interdisciplinary science.
Anne Fangmann and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 23, 447-463, https://doi.org/10.5194/hess-23-447-2019, https://doi.org/10.5194/hess-23-447-2019, 2019
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Low-flow events are little dynamic in space and time. Thus, it is hypothesized that models can be found, based on simple statistical relationships between low-flow metrics and meteorological states, that can help identify potential low-flow drivers. In this study we assess whether such relationships exist and whether they can be applied to predict future low flow within regional climate change impact assessment in the northwestern part of Germany.
Leila Saberi, Rachel T. McLaughlin, G.-H. Crystal Ng, Jeff La Frenierre, Andrew D. Wickert, Michel Baraer, Wei Zhi, Li Li, and Bryan G. Mark
Hydrol. Earth Syst. Sci., 23, 405-425, https://doi.org/10.5194/hess-23-405-2019, https://doi.org/10.5194/hess-23-405-2019, 2019
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The relationship among glacier melt, groundwater, and streamflow remains highly uncertain, especially in tropical glacierized watersheds in response to climate. We implemented a multi-method approach and found that melt contribution varies considerably and may drive streamflow variability at hourly to multi-year timescales, rather than buffer it, as commonly thought. Some of the melt contribution occurs through groundwater pathways, resulting in longer timescale interactions with streamflow.
Tanja de Boer-Euser, Leo-Juhani Meriö, and Hannu Marttila
Hydrol. Earth Syst. Sci., 23, 125-138, https://doi.org/10.5194/hess-23-125-2019, https://doi.org/10.5194/hess-23-125-2019, 2019
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The root zone storage capacity (Sr) of the vegetation is an important hydrological parameter. This study used a relatively new method based on climate data to estimate Sr values in boreal regions, instead of using soil data. The study shows that the climate-derived Sr values are not only linked to climate, but can also be directly linked to vegetation characteristics, and that the (non-)coincidence of snow melt and potential evaporation can have a large influence on the derived Sr values.
Manuela I. Brunner, Reinhard Furrer, and Anne-Catherine Favre
Hydrol. Earth Syst. Sci., 23, 107-124, https://doi.org/10.5194/hess-23-107-2019, https://doi.org/10.5194/hess-23-107-2019, 2019
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Floods often affect a whole region and not only a single location. When estimating the rarity of regional events, the dependence of floods at different locations should be taken into account. We propose a simple model that considers the dependence of flood events at different locations and the network structure of the river system. We test this model on a medium-sized catchment in Switzerland. The model allows for the simulations of flood event sets at multiple gauged and ungauged locations.
Zhicai Zhang, Xi Chen, Qinbo Cheng, and Chris Soulsby
Hydrol. Earth Syst. Sci., 23, 51-71, https://doi.org/10.5194/hess-23-51-2019, https://doi.org/10.5194/hess-23-51-2019, 2019
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We developed a new tracer-aided hydrological model for karst catchments. This model captured the flow and tracer dynamics within each landscape unit quite well, and we could estimate the storage, fluxes and age of water within each. Such tracer-aided models enhance our understanding of the hydrological connectivity between different landscape units and the mixing processes between various flow sources. It is an encouraging step forward in tracer-aided modelling of karst catchments.
Francisco Pellicer-Martínez and José Miguel Martínez-Paz
Hydrol. Earth Syst. Sci., 22, 6473-6491, https://doi.org/10.5194/hess-22-6473-2018, https://doi.org/10.5194/hess-22-6473-2018, 2018
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Effects that climate change could have on the Tajo–Segura transfer are evaluated. To that, water resources that would be in the donor basin are estimated by hydrological modelling if the last climatic projections are accomplished. For these water resources, the exploitation of the transfer is simulated using a decision support system, providing volumes that could be transferred to the Segura basin according to its operating rule.
Laurène Bouaziz, Albrecht Weerts, Jaap Schellekens, Eric Sprokkereef, Jasper Stam, Hubert Savenije, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 22, 6415-6434, https://doi.org/10.5194/hess-22-6415-2018, https://doi.org/10.5194/hess-22-6415-2018, 2018
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We quantify net intercatchment groundwater flows in the Meuse basin in a complementary three-step approach through (1) water budget accounting, (2) testing a set of conceptual hydrological models and (3) evaluating against remote sensing actual evaporation data. We show that net intercatchment groundwater flows can make up as much as 25 % of mean annual precipitation in the headwaters and should therefore be accounted for in conceptual models to prevent overestimating actual evaporation rates.
Fitsum Woldemeskel, David McInerney, Julien Lerat, Mark Thyer, Dmitri Kavetski, Daehyok Shin, Narendra Tuteja, and George Kuczera
Hydrol. Earth Syst. Sci., 22, 6257-6278, https://doi.org/10.5194/hess-22-6257-2018, https://doi.org/10.5194/hess-22-6257-2018, 2018
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This paper evaluates several schemes for post-processing monthly and seasonal streamflow forecasts using the Australian Bureau of Meteorology's streamflow forecasting system. Through evaluation across 300 catchments, the best-performing scheme has been identified, which is found to substantially improve important aspects of the forecast quality. This finding is significant because the improved forecasts help water managers and users of the service to make better-informed decisions.
Abdesselam Megnounif and Sylvain Ouillon
Hydrol. Earth Syst. Sci., 22, 6335-6355, https://doi.org/10.5194/hess-22-6335-2018, https://doi.org/10.5194/hess-22-6335-2018, 2018
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From a classification of river discharge, the effective or dominant discharge is the one whose class corresponds to the maximum sediment supply. The efficiency of the Wadi Sebdou (NW Algeria) was examined over 1973–2004. Two subdivisions allowed a correct distribution of frequencies and supplies of water and sediments. Their effective discharge, close to the
half-load discharge, was compared to analytical values based on statistics and rating curves. Return periods were also explained.
Dagnenet Fenta Mekonnen, Zheng Duan, Tom Rientjes, and Markus Disse
Hydrol. Earth Syst. Sci., 22, 6187-6207, https://doi.org/10.5194/hess-22-6187-2018, https://doi.org/10.5194/hess-22-6187-2018, 2018
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Understanding responses by changes in land use and land cover (LULC) and climate over the past decades on streamflow in the upper Blue Nile River basin is important for water management and water resource planning. Streamflow in the UBNRB has shown an increasing trend over the last 40 years, while rainfall has shown no trend change. LULC change detection findings indicate increases in cultivated land and decreases in forest coverage prior to 1995.
Christian Reszler, Jürgen Komma, Hermann Stadler, Elmar Strobl, and Günter Blöschl
Hydrol. Earth Syst. Sci., 22, 6147-6161, https://doi.org/10.5194/hess-22-6147-2018, https://doi.org/10.5194/hess-22-6147-2018, 2018
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Karst aquifers are vulnerable to pollution due to the typically short particle travel times. As the rainwater runs off on the surface it may collect contamination before infiltrating. This paper proposes a new field-mapping method for the ability of the landscape to produce and convey surface runoff. The method is based on local data collection in the field, and a visual assessment of surface runoff traces from a distance, which makes it suitable for larger areas than traditional field mapping.
Frederik Kratzert, Daniel Klotz, Claire Brenner, Karsten Schulz, and Mathew Herrnegger
Hydrol. Earth Syst. Sci., 22, 6005-6022, https://doi.org/10.5194/hess-22-6005-2018, https://doi.org/10.5194/hess-22-6005-2018, 2018
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In this paper, we propose a novel data-driven approach for
rainfall–runoff modelling, using the long short-term memory (LSTM) network, a special type of recurrent neural network. We show in three different experiments that this network is able to learn to predict the discharge purely from meteorological input parameters (such as precipitation or temperature) as accurately as (or better than) the well-established Sacramento Soil Moisture Accounting model, coupled with the Snow-17 snow model.
Joris P. C. Eekhout, Johannes E. Hunink, Wilco Terink, and Joris de Vente
Hydrol. Earth Syst. Sci., 22, 5935-5946, https://doi.org/10.5194/hess-22-5935-2018, https://doi.org/10.5194/hess-22-5935-2018, 2018
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Extreme weather, like heavy rainstorms and droughts, will become more frequent under climate change, jeopardizing water availability. We show that climate change in a large Mediterranean catchment leads to a redistribution of water from soil to reservoirs and to increased crop stress. Furthermore, increased soil erosion threatens the storage capacity of reservoirs. We conclude that climate change may affect rainfed and irrigated agriculture potential and threatens overall water security.
Basile Hector, Jean-Martial Cohard, Luc Séguis, Sylvie Galle, and Christophe Peugeot
Hydrol. Earth Syst. Sci., 22, 5867-5888, https://doi.org/10.5194/hess-22-5867-2018, https://doi.org/10.5194/hess-22-5867-2018, 2018
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The hydrological functioning of western African headwater wetlands remains poorly understood, despite their potential for small-scale farming and their role in streamflow production. We found that land cover changes significantly affect water budgets, and pedo-geological features control dry season baseflow. These are the results of virtual experiments with a physically based critical zone model evaluated against streamflow, evapotranspiration, soil moisture, water table and water storage data.
Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi-John Chang, Sangram Ganguly, Kuo-Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, and Wen-Ping Tsai
Hydrol. Earth Syst. Sci., 22, 5639-5656, https://doi.org/10.5194/hess-22-5639-2018, https://doi.org/10.5194/hess-22-5639-2018, 2018
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Recently, deep learning (DL) has emerged as a revolutionary tool for transforming industries and scientific disciplines. We argue that DL can offer a complementary avenue toward advancing hydrology. New methods are being developed to interpret the knowledge learned by deep networks. We argue that open competitions, integrating DL and process-based models, more data sharing, data collection from citizen scientists, and improved education will be needed to incubate advances in hydrology.
Audrey Douinot, Hélène Roux, Pierre-André Garambois, and Denis Dartus
Hydrol. Earth Syst. Sci., 22, 5317-5340, https://doi.org/10.5194/hess-22-5317-2018, https://doi.org/10.5194/hess-22-5317-2018, 2018
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The distributed, process-oriented model, MARINE, was used to test several hypotheses of flow dynamics in soils during flash flood events in the Mediterranean area. Results show that the most realistic hypothesis for each catchment is consistent with existing in situ observations and measurements. The study also highlights the potential of distributed modelling and spatial observations in hydrology, especially in dealing with equifinality issues.
Petra Hulsman, Thom A. Bogaard, and Hubert H. G. Savenije
Hydrol. Earth Syst. Sci., 22, 5081-5095, https://doi.org/10.5194/hess-22-5081-2018, https://doi.org/10.5194/hess-22-5081-2018, 2018
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In many river basins, the development of hydrological models is challenged by poor discharge data availability and quality. In contrast, water level data are more reliable, as these are direct measurements and are unprocessed. In this study, an alternative calibration method is presented using water-level time series and the Strickler–Manning formula instead of discharge. This is applied to a semi-distributed rainfall-runoff model for the semi-arid, poorly gauged Mara River basin in Kenya.
Dan Yu, Ping Xie, Xiaohua Dong, Xiaonong Hu, Ji Liu, Yinghai Li, Tao Peng, Haibo Ma, Kai Wang, and Shijin Xu
Hydrol. Earth Syst. Sci., 22, 5001-5019, https://doi.org/10.5194/hess-22-5001-2018, https://doi.org/10.5194/hess-22-5001-2018, 2018
Suzanne R. Jacobs, Edison Timbe, Björn Weeser, Mariana C. Rufino, Klaus Butterbach-Bahl, and Lutz Breuer
Hydrol. Earth Syst. Sci., 22, 4981-5000, https://doi.org/10.5194/hess-22-4981-2018, https://doi.org/10.5194/hess-22-4981-2018, 2018
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This study investigated how land use affects stream water sources and flow paths in an East African tropical montane area. Rainfall was identified as an important stream water source in the forest and smallholder agriculture sub-catchments, while springs were more important in the commercial tea plantation sub-catchment. However, 15 % or less of the stream water consisted of water with an age of less than 3 months, indicating that groundwater plays an important role in all land use types.
Denise Taffarello, Raghavan Srinivasan, Guilherme Samprogna Mohor, João Luis Bittencourt Guimarães, Maria do Carmo Calijuri, and Eduardo Mario Mendiondo
Hydrol. Earth Syst. Sci., 22, 4699-4723, https://doi.org/10.5194/hess-22-4699-2018, https://doi.org/10.5194/hess-22-4699-2018, 2018
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This paper aims to compare freshwater quality scenarios under different land uses, related to ecosystem-based adaptation in subtropical headwaters. Using a spatially semi-distributed model, nitrate, total phosphorous loads and sediments yield were modeled in Brazilian catchments ranging from 7 to 1037 km2. In short, we proposed the new hydrologic services index as a composite metric comparing water pollution levels for reference catchments related to the grey water footprint and water yield.
Alessio Pugliese, Simone Persiano, Stefano Bagli, Paolo Mazzoli, Juraj Parajka, Berit Arheimer, René Capell, Alberto Montanari, Günter Blöschl, and Attilio Castellarin
Hydrol. Earth Syst. Sci., 22, 4633-4648, https://doi.org/10.5194/hess-22-4633-2018, https://doi.org/10.5194/hess-22-4633-2018, 2018
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This research work focuses on the development of an innovative method for enhancing the predictive capability of macro-scale rainfall–runoff models by means of a geostatistical apporach. In our method, one can get enhanced streamflow simulations without any further model calibration. Indeed, this method is neither computational nor data-intensive and is implemented only using observed streamflow data and a GIS vector layer with catchment boundaries. Assessments are performed in the Tyrol region.
Yongqiang Zhang and David Post
Hydrol. Earth Syst. Sci., 22, 4593-4604, https://doi.org/10.5194/hess-22-4593-2018, https://doi.org/10.5194/hess-22-4593-2018, 2018
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It is a critical step to gap-fill streamflow data for most hydrological studies, such as streamflow trend, flood, and drought analysis and predictions. However, quantitative evaluation of the gap-filled data accuracy is not available. Here we conducted the first comprehensive study, and found that when the missing data rate is less than 10 %, the gap-filled streamflow data using hydrological models are reliable for annual streamflow and its trend analysis.
Florian U. Jehn, Lutz Breuer, Tobias Houska, Konrad Bestian, and Philipp Kraft
Hydrol. Earth Syst. Sci., 22, 4565-4581, https://doi.org/10.5194/hess-22-4565-2018, https://doi.org/10.5194/hess-22-4565-2018, 2018
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By realizing that hydrological models are not one single hypothesis, but an assemblage of many hypotheses, new ways to scrutinize hydrological models are needed. Up until now, studies concentrate on comparing existing models or built models incrementally. This approach here tries to tackle the problem the other way around. We construct a complex model, containing all processes important for the catchment, and deconstruct it step by step to understand the influence of single processes.
Manuel Antonetti and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 22, 4425-4447, https://doi.org/10.5194/hess-22-4425-2018, https://doi.org/10.5194/hess-22-4425-2018, 2018
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We developed 60 modelling chain combinations based on either experimentalists' (bottom-up) or modellers' (top-down) thinking and forced them with data of increasing accuracy. Results showed that the differences in performance arising from the forcing data were due to compensation effects. We also found that modellers' and experimentalists' concept of
model realismdiffers, and the level of detail a model should have to reproduce the processes expected must be agreed in advance.
Andreas Moser, Devon Wemyss, Ruth Scheidegger, Fabrizio Fenicia, Mark Honti, and Christian Stamm
Hydrol. Earth Syst. Sci., 22, 4229-4249, https://doi.org/10.5194/hess-22-4229-2018, https://doi.org/10.5194/hess-22-4229-2018, 2018
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Many chemicals such as pesticides, pharmaceuticals or household chemicals impair water quality in many areas worldwide. Measuring pollution everywhere is too costly. Models can be used instead to predict where high pollution levels are expected. We tested a model that can be used across large river basins. We find that for the selected chemicals predictions are generally within a factor of 2 to 4 from observed concentrations. Often, knowledge about the chemical use limits the predictions.
Enrica Perra, Monica Piras, Roberto Deidda, Claudio Paniconi, Giuseppe Mascaro, Enrique R. Vivoni, Pierluigi Cau, Pier Andrea Marras, Ralf Ludwig, and Swen Meyer
Hydrol. Earth Syst. Sci., 22, 4125-4143, https://doi.org/10.5194/hess-22-4125-2018, https://doi.org/10.5194/hess-22-4125-2018, 2018
Anna Lupon, José L. J. Ledesma, and Susana Bernal
Hydrol. Earth Syst. Sci., 22, 4033-4045, https://doi.org/10.5194/hess-22-4033-2018, https://doi.org/10.5194/hess-22-4033-2018, 2018
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We used the PERSiST model to explore the role of riparian evapotranspiration (ET) in regulating streamflow in Mediterranean regions. Riparian ET was essential for understanding streamflow dynamics, especially in summer. Moreover, climate change simulations showed that the contribution of riparian ET to annual water budgets will increase in the future. We must include riparian zones in hydrological models in order to establish proper management strategies in water-limited regions.
Sebastian A. Krogh and John W. Pomeroy
Hydrol. Earth Syst. Sci., 22, 3993-4014, https://doi.org/10.5194/hess-22-3993-2018, https://doi.org/10.5194/hess-22-3993-2018, 2018
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The Arctic has warmed and vegetation has expanded; however, impacts on hydrology are poorly understood. This study used observed meteorology from the last 56 years and changes in vegetation to simulate the water cycle of an Arctic headwater basin. Several changes were found: decreased snow cover duration, deeper permafrost and earlier peak flows. Most changes are from climate change; however, vegetation impacts blowing snow, partially compensating the impact of climate change on streamflow.
Yan Liu, Christiane Zarfl, Nandita B. Basu, Marc Schwientek, and Olaf A. Cirpka
Hydrol. Earth Syst. Sci., 22, 3903-3921, https://doi.org/10.5194/hess-22-3903-2018, https://doi.org/10.5194/hess-22-3903-2018, 2018
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We present a model for water and sediment transport in a small catchment. For the water balance, we use a simple hydrological model that can explain the observed sudden increase in river flow between storm events. This model drives a hydraulic model of the river, which is needed to determine erosion and sedimentation in the river. Sediments are mainly generated in urban areas as the topography of the catchment is smooth. During storm events, erosion and deposition in the river becomes relevant.
Zhao Chen, Andreas Hartmann, Thorsten Wagener, and Nico Goldscheider
Hydrol. Earth Syst. Sci., 22, 3807-3823, https://doi.org/10.5194/hess-22-3807-2018, https://doi.org/10.5194/hess-22-3807-2018, 2018
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This paper investigates potential impacts of climate change on mountainous karst systems. Our study highlights the fast groundwater dynamics in mountainous karst catchments, which make them highly vulnerable to future changing-climate conditions. Additionally, this work presents a novel holistic modeling approach, which can be transferred to similar karst systems for studying the impact of climate change on local karst water resources.
Ralf Loritz, Hoshin Gupta, Conrad Jackisch, Martijn Westhoff, Axel Kleidon, Uwe Ehret, and Erwin Zehe
Hydrol. Earth Syst. Sci., 22, 3663-3684, https://doi.org/10.5194/hess-22-3663-2018, https://doi.org/10.5194/hess-22-3663-2018, 2018
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In this study we explore the role of spatially distributed information on hydrological modeling. For that, we develop and test an approach which draws upon information theory and thermodynamic reasoning. We show that the proposed set of methods provide a powerful framework for understanding and diagnosing how and when process organization and functional similarity of hydrological systems emerge in time and, hence, when which landscape characteristic is important in a model application.
Karin Mostbauer, Roland Kaitna, David Prenner, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 22, 3493-3513, https://doi.org/10.5194/hess-22-3493-2018, https://doi.org/10.5194/hess-22-3493-2018, 2018
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Debris flows represent a severe hazard in mountain regions and so far remain difficult to predict. We applied a hydrological model to link not only precipitation, but also snowmelt, antecedent soil moisture, etc. with debris flow initiation in an Alpine watershed in Austria. Our results highlight the value of this more holistic perspective for developing a better understanding of debris flow initiation.
Anna Costa, Daniela Anghileri, and Peter Molnar
Hydrol. Earth Syst. Sci., 22, 3421-3434, https://doi.org/10.5194/hess-22-3421-2018, https://doi.org/10.5194/hess-22-3421-2018, 2018
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We analyse the control of hydroclimatic factors – erosive rainfall, ice melt, and snowmelt – on suspended sediment concentration (SSC) of Alpine catchments regulated by hydropower, and we develop a multivariate hydroclimatic–informed rating curve. We show that while erosive rainfall determines the variability of SSC, ice melt generates the highest contribution to SSC per unit of runoff. This approach allows the exploration of climate–driven changes in fine sediment dynamics in Alpine catchments.
Sahani Pathiraja, Daniela Anghileri, Paolo Burlando, Ashish Sharma, Lucy Marshall, and Hamid Moradkhani
Hydrol. Earth Syst. Sci., 22, 2903-2919, https://doi.org/10.5194/hess-22-2903-2018, https://doi.org/10.5194/hess-22-2903-2018, 2018
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Hydrologic modeling methodologies must be developed that are capable of predicting runoff in catchments with changing land cover conditions. This article investigates the efficacy of a recently developed approach that allows for runoff prediction in catchments with unknown land cover changes, through experimentation in a deforested catchment in Vietnam. The importance of key elements of the method in ensuring its success, such as the chosen hydrologic model, is investigated.
Ning Qiu, Xi Chen, Qi Hu, Jintao Liu, Richao Huang, and Man Gao
Hydrol. Earth Syst. Sci., 22, 2891-2901, https://doi.org/10.5194/hess-22-2891-2018, https://doi.org/10.5194/hess-22-2891-2018, 2018
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The spatial runoff is decomposed into a deterministic trend and deviations from it caused by stochastic fluctuations which are described by Budyko method and stochastic interpolation. This coupled method is applied to spatially interpolate runoff in the Huaihe River basin of China. Results show that the coupled method reduces the error in overestimating low runoff and underestimating high runoff suffered by the other two methods, so it improves the prediction accuracy of the mean annual runoff.
unit hydrographand flow routing processes involving active student participation – a university lecture experiment
Karsten Schulz, Reinhard Burgholzer, Daniel Klotz, Johannes Wesemann, and Mathew Herrnegger
Hydrol. Earth Syst. Sci., 22, 2607-2613, https://doi.org/10.5194/hess-22-2607-2018, https://doi.org/10.5194/hess-22-2607-2018, 2018
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The unit hydrograph has been one of the most widely employed modelling techniques to predict rainfall-runoff behaviour of hydrological catchments. We developed a lecture theatre experiment including some student involvement to illustrate the principles behind this modelling technique. The experiment only uses very simple and cheap material including a set of plastic balls (representing rainfall), magnetic stripes (tacking the balls to the white board) and sieves (for ball/water gauging).
Cited articles
Alverado Montero, R., Schwanenberg, D., Krahe, P., Lisniak, D., Sensoy, A., Sorman, A. A., and Akkol, B.: Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model, Adv. Water Resour., 92, 248–257, https://doi.org/10.1016/j.advwatres.2016.04.011, 2016.
Bell, V. A., Davies, H. N., Kay, A. L., Brookshaw, A., and Scaife, A. A.: A national-scale seasonal hydrological forecast system: development and evaluation over Britain, Hydrol. Earth Syst. Sci., 21, 4681–4691, https://doi.org/10.5194/hess-21-4681-2017, 2017.
Beven, K. J.: Equifinality and Uncertainty in Geomorphological Modelling, in: The Scientific Nature of Geomorphology, edited by: Rhoads, B. L. and Thorn, C. E., Wiley, Chichester, UK, 289–313, 1996.
CCNR: Annual Report 2016 – Inland Navigation in Europe – Market Observation, Central Commission for the Navigation of the Rhine, Strasbourg, France, 2016.
Crochemore, L., Ramos, M.-H., and Pappenberger, F.: Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts, Hydrol. Earth Syst. Sci., 20, 3601–3618, https://doi.org/10.5194/hess-20-3601-2016, 2016.
Day, G. N.: Extended streamflow forecasting using NWSRFS, J. Water Resour. Plan. Man., 111, 157–170, 1985.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteorol. Soc., 137, 553–597, 2011.
Demirel, M. C., Booij, M. J., and Hoekstra, A. Y.: Identification of appropriate lags and temporal resolutions for low flow indicators in the River Rhine to forecast low flows with different lead times, Hydrol. Proc., 27, 2742–2758, https://doi.org/10.1002/hyp.9402, 2012.
Demirel, M. C., Booij, M. J., and Hoekstra, A. Y.: Effect of different uncertainty sources on the skill of 10 day ensemble low flow forecasts for two hydrological models, Water Resour. Res., 49, 4035–4053, https://doi.org/10.1002/wrcr.20294, 2013.
Demirel, M. C., Booij, M. J., and Hoekstra, A. Y.: The skill of seasonal ensemble low-flow forecasts in the Moselle River for three different hydrological models, Hydrol. Earth Syst. Sci., 19, 275–291, https://doi.org/10.5194/hess-19-275-2015, 2015.
Domeisen, D. I. V., Butler, A. H., Fröhlich, K., Bittner, M., Müller, W. A., and Baehr, J.: Seasonal Predictability over Europe Arising from El Niño and Stratospheric Variability in the MPI-ESM Seasonal Prediction System, J. Climate, 28, 256–271, https://doi.org/10.1175/JCLI-D-14-00207.1, 2015.
DWD: Deliverable D.1.7 Gridded 20 yr dataset of surface solar radiation, cloud albedo, cloud fraction and surface albedo derived from MVIRI (SEVIRI) using the Heliosat method (0.05°), EU funded project EURO4M, EURO4M project report, available at http://www.euro4m.eu/downloads/D1.7_Gridded-20yr-dataset-of-SIS-SAL-CFC-CAL-derived-from-MVIRI-SEVIRI.pdf (last access: 11 December 2017), 2013.
European Commission: White paper – European transport policy for 2010: time to decide, COM(2001)370, Brussels, available at: https://ec.europa.eu/transport/sites/transport/files/themes/strategies/doc/2001_white_paper/lb_com_2001_0370_en.pdf (last access: 11 December 2017), 2001.
Fundel, F. and Zappa, M.: Hydrological Ensemble Forecasting in Mesoscale Catchments: Sensitivity to Initial Conditions and Value of Reforecasts, Water Resour. Res., 47, W09520, https://doi.org/10.1029/2010WR009996, 2011.
Fundel, F., Jörg-Hess, S., and Zappa, M.: Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices, Hydrol. Earth Syst. Sci., 17, 395–407, https://doi.org/10.5194/hess-17-395-2013, 2013.
Funk, D., Pouget, L., Dubus, L., Falloon, P., Meißner, D., Klein, B., Palin, E., Viel, C., Foster, K., Lootvoet, M., Bosi, L., Creswick, J., Davis, M., and Jimenez, I.: White paper on sector specific vulnerabilities, Deliverable 11.2, EUPORIAS – European Provision Of Regional Impacts Assessments on Seasonal and Decadal Timescales, Grant Agreement 308291, EUPORIAS project report, available at: http://www.euporias.eu/system/files/D11.2_Final.pdf (last access: 11 December 2017), 2015.
Gámiz-Fortis, S., Pozo-Vázquez, D., Trigo, R. M., and Castro-Díez, Y.: Quantifying the predictability of winter river flow in Iberia, Part II: seasonal predictability, J. Climate, 21, 2503–2518, 2008.
Gelfan, A. N., Motovilov, Yu. G., and Moreido, V. M.: Ensemble seasonal forecast of extreme water inflow into a large reservoir, Proc. IAHS, 369, 115–120, https://doi.org/10.5194/piahs-369-115-2015, 2015.
Haag, I., Johst, M., Sieber, A., and Bremicker, M.: Guideline for the Calibration of LARSIM Water Balance Models for operational Application in Flood Forecasting–Calibration Guide, available at: http://hmdblog.rlp.de/luwg/larsim/, last access: 3 March 2016.
Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M. A.: European daily high-resolution gridded dataset of surface temperature and precipitation, J. Geophys. Res.-Atmos., 113, D20119, https://doi.org/10.1029/2008JD010201, 2008.
Hersbach, H.: Decomposition of the continuous ranked probability score for ensemble prediction systems, Weather Forecast., 15, 559–570, 2000.
Huang, B., Banzon, V. F., Freeman, E., Lawrimore, J., Liu, W., Peterson, T. C., Smith, T. M., Thorne, P. W., Woodruff, S. D., and Zhang, H.-M.: Extended Reconstructed Sea Surface Temperature version 4 (ERSST.v4): Part I, Upgrades and intercomparisons, J. Climate, 28, 911–930, https://doi.org/10.1175/JCLI-D-14-00006.1, 2014.
Leander, R. and Buishand, T.: Resampling of regional climate model output forthe simulation of extreme river flows, J. Hydrol., 332, 487–496, 2007.
Ionita, M., Lohmann, G., and Rimbu, N.: Prediction of Elbe discharge based on stable teleconnections with winter global temperature and precipitation, J. Climate, 21, 6215–6226, 2008.
Ionita, M., Lohmann, G., Rimbu, N., and Chelcea, S.: Interannual Variability of Rhine River Streamflow and Its Relationship with Large-Scale Anomaly Patterns in Spring and Autumn, J. Hydrometeorol., 13, 172–188, 2012.
Ionita, M., Dima, M., Lohmann, G., Scholz, P., and Rimbu, N.: Predicting the June 2013 European Flooding based on Precipitation, Soil Moisture and Sea Level Pressure, J. Hydrometeorol., 16, 598–614, https://doi.org/10.1175/JHM-D-14-0156.1, 2014.
Ionita, M., Tallaksen, L. M., Kingston, D. G., Stagge, J. H., Laaha, G., Van Lanen, H. A. J., Scholz, P., Chelcea, S. M., and Haslinger, K.: The European 2015 drought from a climatological perspective, Hydrol. Earth Syst. Sci., 21, 1397–1419, https://doi.org/10.5194/hess-21-1397-2017, 2017.
Jörg-Hess, S., Griessinger, N., and Zappa, M.: Probabilistic Forecasts of Snow Water Equivalent and Runoff in Mountainous Areas, J. Hydrometeorol., 16, 2169–2186, https://doi.org/10.1175/JHM-D-14-0193.1, 2015.
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-year reanalysis project, B. Am. Meteorol. Soc., 77, 437–470, 1996.
Kistler, R., Collins, W., Saha, S., White, G., Woollen, J., Kalnay, E., Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V., van den Dool, H., Jenne, R., and Fiorino, M.: The NCEP-NCAR 50-Year Reanalysis: Monthly Means CD-ROM and Documentation, B. Am. Meteorol. Soc., 82, 247–267, https://doi.org/10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2, 2001.
Klein, B. and Meißner, D.: Vulnerability of Inland Waterway Transport and Waterway Management on Hydro-meteorological Extremes, Deliverable 9.1, IMPREX (Improving Predictions of Hydrological Extremes), Grant Agreement Number 641811, IMPREX project report, available at: http://www.imprex.eu/system/files/generated/files/resource/d9-1-imprex-v2-0.pdf (last access: 11 December 2017), 2016.
Laaha, G., Gauster, T., Tallaksen, L. M., Vidal, J.-P., Stahl, K., Prudhomme, C., Heudorfer, B., Vlnas, R., Ionita, M., Van Lanen, H. A. J., Adler, M.-J., Caillouet, L., Delus, C., Fendekova, M., Gailliez, S., Hannaford, J., Kingston, D., Van Loon, A. F., Mediero, L., Osuch, M., Romanowicz, R., Sauquet, E., Stagge, J. H., and Wong, W. K.: The European 2015 drought from a hydrological perspective, Hydrol. Earth Syst. Sci., 21, 3001–3024, https://doi.org/10.5194/hess-21-3001-2017, 2017.
Lenderink, G., Buishand, A., and van Deursen, W.: Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach, Hydrol. Earth Syst. Sci., 11, 1145–1159, https://doi.org/10.5194/hess-11-1145-2007, 2007.
Lohmann, G., Rimbu, N., and Dima, M.: Where can the Arctic oscillation be reconstructed? Towards a reconstruction of climate modes based on stable teleconnections, Clim. Past Discuss., https://doi.org/10.5194/cpd-1-17-2005, 2005.
Ludwig, K. and Bremicker, M.: The Water Balance Model LARSIM, Design, Content and Applications, edited by: Leibundgut, C., Demuth, S., and Lange, J., Freiburger Schriften zur Hydrologie, Institut für Hydrologie, Universität Freiburg im Breisgau, Freiburg, 141 pp., 2006.
Marke, T.: Development and Application of a Model Interface to couple Land Surface Models with Regional Climate Models for Climate Change Risk Assessment in the Upper Danube Watershed, Dissertation, LMU München, Fakultät für Geowissenschaften, 2008.
Maurer, E. P. and Lettenmaier, D. P.: Predictability of seasonal runoff in the Mississippi river basin, J. Geophys. Res., 108, 8607, https://doi.org/10.1029/2002JD002555, 2003.
Meißner, D. and Klein, B.: Probabilistic Shipping Forecast, in: “Handbook of Hydrometeorological Ensemble Forecasting”, edited by: Duan, Q., Pappenberger, F., Thielen, J., Wood, A., Cloke, H. L., and Schaake, J. C., Springer, https://doi.org/10.1007/978-3-642-40457-3_58-1, 2016.
Molteni, F., Stockdale, T., Balmaseda, M., Balsamo, G., Buizza, R., Ferranti, L., Magnusson, L., Mogensen, K., Palmer, T., and Vitart, F.: The new ECMWF seasonal forecast system (System 4), ECMWF Tech. Memo., 656, 49 pp., available at: http://www.ecmwf.int/sites/default/files/elibrary/2011/11209-new-ecmwf-seasonal-forecast-system-system-4.pdf (last access: 29 August 2016), 2011.
Murphy, A. H.: What Is a Good Forecast? An Essay on the Nature of Goodness in Weather Forecasting, Weather Forecast., 8, 281–293, 1993.
Nilson, E., Lingemann, I., Klein, B., and Krahe, P.: Impact of hydrological change on navigation conditions, Deliverable 1.4 ECCONET – Effects of climate change on the inland waterway transport network, ECCONET project report, available at: http://www.tmleuven.be/project/ecconet/ECCONET_D1.4_final.pdf (last access: 11 December 2017), 2012.
Olsson, J., Uvo, C. B., Foster, K., and Yang, W.: Technical Note: Initial assessment of a multi-method approach to spring-flood forecasting in Sweden, Hydrol. Earth Syst. Sci., 20, 659–667, https://doi.org/10.5194/hess-20-659-2016, 2016.
Piani, C., Haerter, J., and Coppola, E.: Statistical bias correction for daily precipitation in regional climate models over Europe, Theor. Appl. Climatol., 2010, 187–192, https://doi.org/10.1007/s00704-009-0134-9, 2010.
Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., and Gratzki, A.: A Central European precipitation climatology – Part I: Generation and validation of a high-resolution gridded daily data set (HYRAS), Meteorol. Z., 22, 235–256, 2013.
Richardson, D. S.: Skill and relative economic value of ECMWF ensemble prediction system, Q. J. Roy. Meteorol. Soc., 126, 649–667, 2000.
Richardson, D. S.: Economic Value and Skill, in: Forecast Verification: A Practitioner's Guide in Atmospheric Science, edited by: Joliffe, S. B., 2nd edn., John Wiley & Sons, Ltd., 167–184, 2012.
Richter, B. D., Baumgartner, J. V., Braun, D. P., and Powell, J.: A spatial assessment of hydrologic alteration within a river network, River Res. Appl., 14, 329–340, 1998.
Rimbu, N., Dima, M., Lohmann, G., and Stefan, S.: Impacts on the North Atlantic Oscillation and the El Niño–Southern Oscillation on Danube river flow variability, Geophys. Res. Lett., 31, L23203, https://doi.org/10.1029/2004GL020559, 2004.
Rimbu, N., Dima, M., Lohmann, G., and Musat, I.: Seasonal prediction of Danube flow variability based on stable teleconnection with sea surface temperature, Geophys. Res. Lett., 32, L21704, https://doi.org/10.1029/2005GL024241, 2005.
Robertson, D. E., Pokhrel, P., and Wang, Q. J.: Improving statistical forecasts of seasonal streamflows using hydrological model output, Hydrol. Earth Syst. Sci., 17, 579–593, https://doi.org/10.5194/hess-17-579-2013, 2013.
Roulin, E.: Skill and relative economic value of medium-range hydrological ensemble predictions, Hydrol. Earth Syst. Sci., 11, 725–737, https://doi.org/10.5194/hess-11-725-2007, 2007.
Shukla, S. and Lettenmaier, D. P.: Seasonal hydrologic prediction in the United States: understanding the role of initial hydrologic conditions and seasonal climate forecast skill, Hydrol. Earth Syst. Sci., 15, 3529–3538, https://doi.org/10.5194/hess-15-3529-2011, 2011.
Svensson, C.: Seasonal river flow forecasts for the United Kingdom using persistence and historical analogues, Hydrol. Sci. J., 61, 19–35, https://doi.org/10.1080/02626667.2014.992788, 2016.
Trigo, R. M., Pozo-Vázquez, D., Osborn, T. J., Castro-Diez, Y., Gamiz-Fortis, S., and Esteban-Parra, M. J.: North Atlantic Oscillation influence on precipitation, river flow and water resources in the Iberian Peninsula, Int. J. Climatol., 24, 925–944, 2004.
Tucci, C. E. M., Clarke, R. T., Collischonn, W., da Silva Dias, P. L., and de Oliveira, G. S.: Long-term flow forecasts based on climate and hydrologic modeling: Uruguay River basin, Water Resour. Res., 39, 1181, https://doi.org/10.1029/2003WR002074, 2003.
Van Lanen, H. A. J., Laaha, G., Kingston, D. G., Gauster, T., Ionita, M., Vidal, J.-P., Vlnas, R., Tallaksen, L. M., Stahl, K., Hannaford, J., Delus, C., Fendekova, M., Mediero, L., Prudhomme, C., Rets, E., Romanowicz, R. J., Gailliez, S., Wong, W. K., Adler, M.-J., Blauhut, V., Caillouet, L., Chelcea, S., Frolova, N., Gudmundsson, L., Hanel, M., Haslinger, K., Kireeva, M., Osuch, M., Sauquet, E., Stagge, J. H., and Van Loon, A. F.: Hydrology needed to manage droughts: the 2015 European case, Hydrol. Process., 16, 1373–1381, https://doi.org/10.1002/hyp.10838, 2016.
Wang, E., Zhang, Y., Luo, J., Chiew, F. H. S., and Wang, Q. J.: Monthly and Seasonal Streamflow Forecasts Using Rainfall-Runoff Modeling and Historical Weather Data, Water Resour. Res., 47, W05516, https://doi.org/10.1029/2010WR009922, 2011.
Wilby, R. L., Wedgbrow, C. S., and Fox, H. R.: Seasonal predictability of the summer hydrometeorology of the River Thames, UK, J. Hydrol., 295, 1–16, 2004.
Wilks, D. S.: A skill score based on economic value for probability forecasts, Meteorol. Appl., 8, 209–219, 2001.
Wood, A. W., Maurer, E. P., Kumar, A., and Lettenmaier, D. P.: Long-range experimental hydrologic forecasting for the eastern United States, J. Geophys. Res.-Atmos., 107, 4429, https://doi.org/10.1029/2001JD000659, 2002.
Wood, A. W. and Lettenmaier, D. P.: An ensemble approach for attribution of hydro-logic prediction uncertainty, Geophys. Res. Lett., 35, L14401, https://doi.org/10.1029/2008GL034648, 2008.
Wood, A. W., Hopson, T., Newman, A., Brekke, L., Arnold, J., and Clark, M.: Quantifying Streamflow Forecast Skill Elasticity to Initial Condition and Climate Prediction Skill, J. Hydrometeorol., 17, 651–668, https://doi.org/10.1175/JHM-D-14-0213.1, 2016.
Yossef, N. C., Winsemius, H., Weerts, A., van Beek, R., and Bierkens, M. F. P.: Skill of a global seasonal streamflow forecasting system, relative roles of initial conditions and meteorological forcing, Water Resour. Res., 49, 4687–4699, https://doi.org/10.1002/wrcr.20350, 2013.
Zappa, M., Bernhard, L., Spirig, C., Pfaundler, M., Stahl, K., Kruse, S., Seidl, I., and Stähli, M.: A prototype platform for water resources monitoring and early recognition of critical droughts in Switzerland, Proc. IAHS, 364, 492–498, https://doi.org/10.5194/piahs-364-492-2014, 2014.
Zhao, T., Bennett, J. C., Wang, Q. J., Schepen, A., Wood, A. W., Robertson, D. E., and Ramos, M. H.: How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts? J. Climate, 30, 3185–3196, 2017.
Zink, M., Samaniego, L., Kumar, R., Thober, S., Mai, J., Scäfer, D., and Marx, A.: The German drought monitor, Environ. Res. Lett., 11, 074002, https://doi.org/10.1088/1748-9326/11/7/074002, 2016.
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Inland waterway transport is a commercial sector relying on hydrological forecasts on different timescales. This paper describes the set-up of a monthly to seasonal forecasting system for the German waterways. Multiple approaches are tested, compared and combined. Despite the predictive limitations on longer lead times, this study reveals the existence of a valuable predictability on monthly up to seasonal timescales. Forecast quality depends on forecast location, lead time and season.
Inland waterway transport is a commercial sector relying on hydrological forecasts on different...
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