Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1157-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-22-1157-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Feb 2018
Research article |
| 09 Feb 2018
| 09 Feb 2018
Retrospective forecasts of the upcoming winter season snow accumulation in the Inn headwaters (European Alps)
Kristian Förster
CORRESPONDING AUTHOR
Leibniz Universität Hannover, Institute of Hydrology and Water Resources Management, Hanover, Germany
alpS – Centre for Climate Change Adaptation, Innsbruck, Austria
Institute of Geography, University of Innsbruck, Innsbruck, Austria
Florian Hanzer
Institute of Geography, University of Innsbruck, Innsbruck, Austria
Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
Elena Stoll
alpS – Centre for Climate Change Adaptation, Innsbruck, Austria
Adam A. Scaife
Met Office Hadley Centre, Exeter, Devon, UK
College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
Craig MacLachlan
Met Office Hadley Centre, Exeter, Devon, UK
Johannes Schöber
TIWAG, Tiroler Wasserkraft AG, Innsbruck, Austria
Matthias Huttenlau
alpS – Centre for Climate Change Adaptation, Innsbruck, Austria
Stefan Achleitner
Unit of Hydraulic Engineering, Institute of Infrastructure, University of Innsbruck, Innsbruck, Austria
Ulrich Strasser
Institute of Geography, University of Innsbruck, Innsbruck, Austria
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Michael Warscher, Thomas Marke, and Ulrich Strasser
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-68, https://doi.org/10.5194/essd-2021-68, 2021
Revised manuscript not accepted
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Continuous observations of snow and climate in high altitudes are still sparse. We present data from automatic weather and snow stations in the Ötztal Alps (Austria) that include continuous recordings of snow cover properties (snow depth, water equivalent, density, solid and liquid water content, snow temperature profiles, surface temperature, snow drift). The data can be used in different scientific fields, as well as in operational applications, i.e., avalanche warning and flood forecasting.
Michael Matiu, Alice Crespi, Giacomo Bertoldi, Carlo Maria Carmagnola, Christoph Marty, Samuel Morin, Wolfgang Schöner, Daniele Cat Berro, Gabriele Chiogna, Ludovica De Gregorio, Sven Kotlarski, Bruno Majone, Gernot Resch, Silvia Terzago, Mauro Valt, Walter Beozzo, Paola Cianfarra, Isabelle Gouttevin, Giorgia Marcolini, Claudia Notarnicola, Marcello Petitta, Simon C. Scherrer, Ulrich Strasser, Michael Winkler, Marc Zebisch, Andrea Cicogna, Roberto Cremonini, Andrea Debernardi, Mattia Faletto, Mauro Gaddo, Lorenzo Giovannini, Luca Mercalli, Jean-Michel Soubeyroux, Andrea Sušnik, Alberto Trenti, Stefano Urbani, and Viktor Weilguni
The Cryosphere, 15, 1343–1382, https://doi.org/10.5194/tc-15-1343-2021, https://doi.org/10.5194/tc-15-1343-2021, 2021
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Benjamin Winter, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn
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Gerhard Krinner, Chris Derksen, Richard Essery, Mark Flanner, Stefan Hagemann, Martyn Clark, Alex Hall, Helmut Rott, Claire Brutel-Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, Frédérique Chéruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, and Dan Zhu
Geosci. Model Dev., 11, 5027–5049, https://doi.org/10.5194/gmd-11-5027-2018, https://doi.org/10.5194/gmd-11-5027-2018, 2018
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This paper provides an overview of a coordinated international experiment to determine the strengths and weaknesses in how climate models treat snow. The models will be assessed at point locations using high-quality reference measurements and globally using satellite-derived datasets. How well climate models simulate snow-related processes is important because changing snow cover is an important part of the global climate system and provides an important freshwater resource for human use.
Hannes Müller-Thomy, Markus Wallner, and Kristian Förster
Hydrol. Earth Syst. Sci., 22, 5259–5280, https://doi.org/10.5194/hess-22-5259-2018, https://doi.org/10.5194/hess-22-5259-2018, 2018
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Neal Butchart, James A. Anstey, Kevin Hamilton, Scott Osprey, Charles McLandress, Andrew C. Bushell, Yoshio Kawatani, Young-Ha Kim, Francois Lott, John Scinocca, Timothy N. Stockdale, Martin Andrews, Omar Bellprat, Peter Braesicke, Chiara Cagnazzo, Chih-Chieh Chen, Hye-Yeong Chun, Mikhail Dobrynin, Rolando R. Garcia, Javier Garcia-Serrano, Lesley J. Gray, Laura Holt, Tobias Kerzenmacher, Hiroaki Naoe, Holger Pohlmann, Jadwiga H. Richter, Adam A. Scaife, Verena Schenzinger, Federico Serva, Stefan Versick, Shingo Watanabe, Kohei Yoshida, and Seiji Yukimoto
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Martin Beniston, Daniel Farinotti, Markus Stoffel, Liss M. Andreassen, Erika Coppola, Nicolas Eckert, Adriano Fantini, Florie Giacona, Christian Hauck, Matthias Huss, Hendrik Huwald, Michael Lehning, Juan-Ignacio López-Moreno, Jan Magnusson, Christoph Marty, Enrique Morán-Tejéda, Samuel Morin, Mohamed Naaim, Antonello Provenzale, Antoine Rabatel, Delphine Six, Johann Stötter, Ulrich Strasser, Silvia Terzago, and Christian Vincent
The Cryosphere, 12, 759–794, https://doi.org/10.5194/tc-12-759-2018, https://doi.org/10.5194/tc-12-759-2018, 2018
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This paper makes a rather exhaustive overview of current knowledge of past, current, and future aspects of cryospheric issues in continental Europe and makes a number of reflections of areas of uncertainty requiring more attention in both scientific and policy terms. The review paper is completed by a bibliography containing 350 recent references that will certainly be of value to scholars engaged in the fields of glacier, snow, and permafrost research.
Florian Hanzer, Kristian Förster, Johanna Nemec, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 22, 1593–1614, https://doi.org/10.5194/hess-22-1593-2018, https://doi.org/10.5194/hess-22-1593-2018, 2018
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Climate change effects on snow, glaciers, and hydrology are investigated for the Ötztal Alps region (Austria) using a hydroclimatological model driven by climate projections for the RCP2.6, RCP4.5, and RCP8.5 scenarios. The results show declining snow amounts and strongly retreating glaciers with moderate effects on catchment runoff until the mid-21st century, whereas annual runoff volumes decrease strongly towards the end of the century.
Ulrich Strasser, Thomas Marke, Ludwig Braun, Heidi Escher-Vetter, Irmgard Juen, Michael Kuhn, Fabien Maussion, Christoph Mayer, Lindsey Nicholson, Klaus Niedertscheider, Rudolf Sailer, Johann Stötter, Markus Weber, and Georg Kaser
Earth Syst. Sci. Data, 10, 151–171, https://doi.org/10.5194/essd-10-151-2018, https://doi.org/10.5194/essd-10-151-2018, 2018
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A hydrometeorological and glaciological data set is presented with recordings from several research sites in the Rofental (1891–3772 m a.s.l., Ötztal Alps, Austria). The data sets are spanning 150 years and represent a unique pool of high mountain observations, enabling combined research of atmospheric, cryospheric and hydrological processes in complex terrain, and the development of state-of-the-art hydroclimatological and glacier mass balance models.
Victoria A. Bell, Helen N. Davies, Alison L. Kay, Anca Brookshaw, and Adam A. Scaife
Hydrol. Earth Syst. Sci., 21, 4681–4691, https://doi.org/10.5194/hess-21-4681-2017, https://doi.org/10.5194/hess-21-4681-2017, 2017
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The research presented here provides the first evaluation of the skill of a seasonal hydrological forecast for the UK. The forecast scheme combines rainfall forecasts from the Met Office GloSea5 forecast system with a national-scale hydrological model to provide estimates of river flows 1 to 3 months ahead. The skill in the combined model is assessed for different seasons and regions of Britain, and the analysis indicates that Autumn/Winter flows can be forecast with reasonable confidence.
Katja Matthes, Bernd Funke, Monika E. Andersson, Luke Barnard, Jürg Beer, Paul Charbonneau, Mark A. Clilverd, Thierry Dudok de Wit, Margit Haberreiter, Aaron Hendry, Charles H. Jackman, Matthieu Kretzschmar, Tim Kruschke, Markus Kunze, Ulrike Langematz, Daniel R. Marsh, Amanda C. Maycock, Stergios Misios, Craig J. Rodger, Adam A. Scaife, Annika Seppälä, Ming Shangguan, Miriam Sinnhuber, Kleareti Tourpali, Ilya Usoskin, Max van de Kamp, Pekka T. Verronen, and Stefan Versick
Geosci. Model Dev., 10, 2247–2302, https://doi.org/10.5194/gmd-10-2247-2017, https://doi.org/10.5194/gmd-10-2247-2017, 2017
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The solar forcing dataset for climate model experiments performed for the upcoming IPCC report is described. This dataset provides the radiative and particle input of solar variability on a daily basis from 1850 through to 2300. With this dataset a better representation of natural climate variability with respect to the output of the Sun is provided which provides the most sophisticated and comprehensive respresentation of solar variability that has been used in climate model simulations so far.
Jan Schmieder, Florian Hanzer, Thomas Marke, Jakob Garvelmann, Michael Warscher, Harald Kunstmann, and Ulrich Strasser
Hydrol. Earth Syst. Sci., 20, 5015–5033, https://doi.org/10.5194/hess-20-5015-2016, https://doi.org/10.5194/hess-20-5015-2016, 2016
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We present novel research on the spatiotemporal variability of snowmelt isotopic content in a high-elevation catchment with complex terrain
to improve the isotope-based hydrograph separation method. A modelling approach was used to weight the plot-scale snowmelt isotopic content
with melt rates for the north- and south-facing slope. The investigations showed that it is important to sample at least north- and south-facing slopes,
because of distinct isotopic differences between both slopes.
Kristian Förster, Felix Oesterle, Florian Hanzer, Johannes Schöber, Matthias Huttenlau, and Ulrich Strasser
Proc. IAHS, 374, 143–150, https://doi.org/10.5194/piahs-374-143-2016, https://doi.org/10.5194/piahs-374-143-2016, 2016
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We present first results of a coupled seasonal prediction modelling system that runs at monthly time steps for a small catchment in the Austrian Alps. Meteorological forecasts are obtained from the CFSv2 model which are downscaled to the Alpine Water balance And Runoff Estimation model AWARE. Initial conditions are obtained using the physically based, hydro-climatological snow model AMUNDSEN. In this way, ensemble simulations of the coupled model are compared to observations.
Florian Hanzer, Kay Helfricht, Thomas Marke, and Ulrich Strasser
The Cryosphere, 10, 1859–1881, https://doi.org/10.5194/tc-10-1859-2016, https://doi.org/10.5194/tc-10-1859-2016, 2016
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The hydroclimatological model AMUNDSEN is set up to simulate snow and ice accumulation, ablation, and runoff for a study region in the Ötztal Alps (Austria) in the period 1997–2013. A new validation concept is introduced and demonstrated by evaluating the model performance using several independent data sets, e.g. snow depth measurements, satellite-derived snow maps, lidar data, glacier mass balances, and runoff measurements.
Kristian Förster, Florian Hanzer, Benjamin Winter, Thomas Marke, and Ulrich Strasser
Geosci. Model Dev., 9, 2315–2333, https://doi.org/10.5194/gmd-9-2315-2016, https://doi.org/10.5194/gmd-9-2315-2016, 2016
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For many applications in geoscientific modelling hourly meteorological time series are required, which generally cover shorter periods of time compared to daily time series. We present an open-source MEteoroLOgical observation time series DISaggregation Tool (MELODIST) capable of disaggregating temperature, precipitation, humidity, wind speed, and shortwave radiation (i.e. making 24 out of 1 value). Results indicate a good reconstruction of diurnal features at five sites in different climates.
T. Marke, E. Mair, K. Förster, F. Hanzer, J. Garvelmann, S. Pohl, M. Warscher, and U. Strasser
Geosci. Model Dev., 9, 633–646, https://doi.org/10.5194/gmd-9-633-2016, https://doi.org/10.5194/gmd-9-633-2016, 2016
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This article describes the extension of the ESCIMO.spread spreadsheet-based point energy balance snow model by (i) an advanced approach for precipitation phase detection, (ii) a concept for cold and liquid water storage consideration and (iii) a canopy sub-model that allows one to quantify the effect of a forest canopy on the meteorological conditions inside the forest as well as the simulation of snow accumulation and ablation inside a forest stand.
K. Förster, G. Meon, T. Marke, and U. Strasser
Hydrol. Earth Syst. Sci., 18, 4703–4720, https://doi.org/10.5194/hess-18-4703-2014, https://doi.org/10.5194/hess-18-4703-2014, 2014
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Four snow models of different complexity (temperature-index vs. energy balance models) are compared using observed and dynamically downscaled atmospheric analysis data as input. Biases in simulated precipitation lead to lower model performance. However, simulated meteorological conditions are proven to be a valuable meteorological data source as they provide model input in regions with limited availability of observations and allow the application of energy balance approaches.
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Spatial variability in the seasonal precipitation lapse rates in complex topographical regions – application in France
Assessing downscaling methods to simulate hydrologically relevant weather scenarios from a global atmospheric reanalysis: case study of the upper Rhône River (1902–2009)
Global total precipitable water variations and trends over the period 1958–2021
Assessing decadal- to centennial-scale nonstationary variability in meteorological drought trends
Identification of compound drought and heatwave events on a daily scale and across four seasons
Potential for historically unprecedented Australian droughts from natural variability and climate change
Flood risk assessment for Indian sub-continental river basins
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
140-year daily ensemble streamflow reconstructions over 661 catchments in France
Divergent future drought projections in UK river flows and groundwater levels
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
Hydroclimatic processes as the primary drivers of the Early Khvalynian transgression of the Caspian Sea: new developments
Accounting for hydroclimatic properties in flood frequency analysis procedures
An increase in the spatial extent of European floods over the last 70 years
Understanding the influence of “hot” models in climate impact studies: a hydrological perspective
A semi-parametric hourly space–time weather generator
A principal-component-based strategy for regionalisation of precipitation intensity–duration–frequency (IDF) statistics
Accounting for precipitation asymmetry in a multiplicative random cascade disaggregation model
Improving Runoff Simulation in the Western United States with Noah-MP and VIC
On the combined use of rain gauges and GPM IMERG satellite rainfall products: testing cellular automata-based interpolation methodology on the Tanaro river basin in Italy
Machine learning-constrained projection of bivariate hydrological drought magnitudes and socioeconomic risks
Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach
A genetic particle filter scheme for univariate snow cover assimilation into Noah-MP model across snow climates
Investigating the response of land–atmosphere interactions and feedbacks to spatial representation of irrigation in a coupled modeling framework
Validation of precipitation reanalysis products for rainfall-runoff modelling in Slovenia
The agricultural expansion in South America’s Dry Chaco: Regional hydroclimate effects
Statistical post-processing of precipitation forecasts using circulation classifications and spatiotemporal deep neural networks
Sensitivity of the pseudo-global warming method under flood conditions: a case study from the northeastern US
Hybrid forecasting: blending climate predictions with AI models
Sensitivities of subgrid-scale physics schemes, meteorological forcing, and topographic radiation in atmosphere-through-bedrock integrated process models: a case study in the Upper Colorado River basin
Local moisture recycling across the globe
How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation?
Regionalisation of rainfall depth–duration–frequency curves with different data types in Germany
The suitability of a seasonal ensemble hybrid framework including data-driven approaches for hydrological forecasting
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Daily ensemble river discharge reforecasts and real-time forecasts from the operational Global Flood Awareness System
Spatial distribution of oceanic moisture contributions to precipitation over the Tibetan Plateau
Ensemble streamflow prediction considering the influence of reservoirs in Narmada River Basin, India
Declining water resources in response to global warming and changes in atmospheric circulation patterns over southern Mediterranean France
Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia
Risks of seasonal extreme rainfall events in Bangladesh under 1.5 and 2.0 °C warmer worlds – how anthropogenic aerosols change the story
Pan evaporation is increased by submerged macrophytes
Evaluation of water flux predictive models developed using eddy-covariance observations and machine learning: a meta-analysis
Characterizing basin-scale precipitation gradients in the Third Pole region using a high-resolution atmospheric simulation-based dataset
A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change
Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing
Hydrological concept formation inside long short-term memory (LSTM) networks
A two-step merging strategy for incorporating multi-source precipitation products and gauge observations using machine learning classification and regression over China
Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations
On the links between sub-seasonal clustering of extreme precipitation and high discharge in Switzerland and Europe
Valentin Dura, Guillaume Evin, Anne-Catherine Favre, and David Penot
Hydrol. Earth Syst. Sci., 28, 2579–2601, https://doi.org/10.5194/hess-28-2579-2024, https://doi.org/10.5194/hess-28-2579-2024, 2024
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The increase in precipitation as a function of elevation is poorly understood in areas with complex topography. In this article, the reproduction of these orographic gradients is assessed with several precipitation products. The best product is a simulation from a convection-permitting regional climate model. The corresponding seasonal gradients vary significantly in space, with higher values for the first topographical barriers exposed to the dominant air mass circulations.
Caroline Legrand, Benoît Hingray, Bruno Wilhelm, and Martin Ménégoz
Hydrol. Earth Syst. Sci., 28, 2139–2166, https://doi.org/10.5194/hess-28-2139-2024, https://doi.org/10.5194/hess-28-2139-2024, 2024
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Climate change is expected to increase flood hazard worldwide. The evolution is typically estimated from multi-model chains, where regional hydrological scenarios are simulated from weather scenarios derived from coarse-resolution atmospheric outputs of climate models. We show that two such chains are able to reproduce, from an atmospheric reanalysis, the 1902–2009 discharge variations and floods of the upper Rhône alpine river, provided that the weather scenarios are bias-corrected.
Nenghan Wan, Xiaomao Lin, Roger A. Pielke Sr., Xubin Zeng, and Amanda M. Nelson
Hydrol. Earth Syst. Sci., 28, 2123–2137, https://doi.org/10.5194/hess-28-2123-2024, https://doi.org/10.5194/hess-28-2123-2024, 2024
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Global warming occurs at a rate of 0.21 K per decade, resulting in about 9.5 % K−1 of water vapor response to temperature from 1993 to 2021. Terrestrial areas experienced greater warming than the ocean, with a ratio of 2 : 1. The total precipitable water change in response to surface temperature changes showed a variation around 6 % K−1–8 % K−1 in the 15–55° N latitude band. Further studies are needed to identify the mechanisms leading to different water vapor responses.
Kyungmin Sung, Max C. A. Torbenson, and James H. Stagge
Hydrol. Earth Syst. Sci., 28, 2047–2063, https://doi.org/10.5194/hess-28-2047-2024, https://doi.org/10.5194/hess-28-2047-2024, 2024
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This study examines centuries of nonstationary trends in meteorological drought and pluvial climatology. A novel approach merges tree-ring proxy data (North American Seasonal Precipitation Atlas – NASPA) with instrumental precipitation datasets by temporally downscaling proxy data, correcting biases, and analyzing shared trends in normal and extreme precipitation anomalies. We identify regions experiencing recent unprecedented shifts towards drier or wetter conditions and shifts in seasonality.
Baoying Shan, Niko E. C. Verhoest, and Bernard De Baets
Hydrol. Earth Syst. Sci., 28, 2065–2080, https://doi.org/10.5194/hess-28-2065-2024, https://doi.org/10.5194/hess-28-2065-2024, 2024
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This study developed a convenient and new method to identify the occurrence of droughts, heatwaves, and co-occurring droughts and heatwaves (CDHW) across four seasons. Using this method, we could establish the start and/or end dates of drought (or heatwave) events. We found an increase in the frequency of heatwaves and CDHW events in Belgium caused by climate change. We also found that different months have different chances of CDHW events.
Georgina M. Falster, Nicky M. Wright, Nerilie J. Abram, Anna M. Ukkola, and Benjamin J. Henley
Hydrol. Earth Syst. Sci., 28, 1383–1401, https://doi.org/10.5194/hess-28-1383-2024, https://doi.org/10.5194/hess-28-1383-2024, 2024
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Multi-year droughts have severe environmental and economic impacts, but the instrumental record is too short to characterise multi-year drought variability. We assessed the nature of Australian multi-year droughts using simulations of the past millennium from 11 climate models. We show that multi-decadal
megadroughtsare a natural feature of the Australian hydroclimate. Human-caused climate change is also driving a tendency towards longer droughts in eastern and southwestern Australia.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024, https://doi.org/10.5194/hess-28-1107-2024, 2024
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A large population is affected by floods, which leave their footprints through human mortality, migration, and damage to agriculture and infrastructure, during almost every summer monsoon season in India. Despite the massive damage of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamic models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780, https://doi.org/10.5194/hess-28-761-2024, https://doi.org/10.5194/hess-28-761-2024, 2024
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Tropical cyclones (TCs) often cause high economic loss due to heavy winds and rainfall, particularly in densely populated regions such as the Pearl River Delta (China). This study provides a reference to set up regional climate models for TC simulations. They contribute to a better TC process understanding and assess the potential changes and risks of TCs in the future. This lays the foundation for hydrodynamical modelling, from which the cities' disaster management and defence could benefit.
Alexandre Devers, Jean-Philippe Vidal, Claire Lauvernet, Olivier Vannier, and Laurie Caillouet
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-42, https://doi.org/10.5194/hess-2024-42, 2024
Revised manuscript accepted for HESS
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The recent development of the a new meteorological dataset providing precipitation and temperature over France – FYRE Climate – has been transformed to streamflow time series over 1871–2012 through the used of a hydrological model. This led to the creation of the daily hydrological reconstructions called HyDRE and HyDRE. These two reconstructions are evaluated allow to better understand the variability of past hydrology over France.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389, https://doi.org/10.5194/hess-28-375-2024, https://doi.org/10.5194/hess-28-375-2024, 2024
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels (i.e., intensity–duration–frequency, IDF, curves), which are critical for the estimation of future floods. The proposed model, named TENAX, incorporates temperature as a covariate in a physically consistent manner. It has only a few parameters and can be easily set for any climate station given sub-hourly precipitation and temperature data are available.
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259, https://doi.org/10.5194/hess-28-241-2024, https://doi.org/10.5194/hess-28-241-2024, 2024
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Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current level. There are large disagreements on the genesis of this “Great” Khvalynian transgression of the sea, and we tried to shed light on this issue. Using climate and hydrological models as well as the paleo-reconstructions, we proved that the transgression could be initiated solely by hydroclimatic factors within the deglaciation period in the absence of the glacial meltwater effect.
Joeri B. Reinders and Samuel E. Munoz
Hydrol. Earth Syst. Sci., 28, 217–227, https://doi.org/10.5194/hess-28-217-2024, https://doi.org/10.5194/hess-28-217-2024, 2024
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Flooding presents a major hazard for people and infrastructure along waterways; however, it is challenging to study the likelihood of a flood magnitude occurring regionally due to a lack of long discharge records. We show that hydroclimatic variables like Köppen climate regions and precipitation intensity explain part of the variance in flood frequency distributions and thus reduce the uncertainty of flood probability estimates. This gives water managers a tool to locally improve flood analysis.
Beijing Fang, Emanuele Bevacqua, Oldrich Rakovec, and Jakob Zscheischler
EGUsphere, https://doi.org/10.5194/egusphere-2023-2890, https://doi.org/10.5194/egusphere-2023-2890, 2024
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We use grid-based runoff from a hydrological model to identify large spatiotemporally connected flood events in Europe, assess extents' trends over the last 70 years, and attribute the trends to different drivers. Our findings reveal a general increase in flood extent, with regional variations driven by diverse factors. The study not only enables a thorough examination of flood events across multiple basins but also highlights the potential challenges arising from changing flood extents.
Mehrad Rahimpour Asenjan, Francois Brissette, Jean-Luc Martel, and Richard Arsenault
Hydrol. Earth Syst. Sci., 27, 4355–4367, https://doi.org/10.5194/hess-27-4355-2023, https://doi.org/10.5194/hess-27-4355-2023, 2023
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Climate models are central to climate change impact studies. Some models project a future deemed too hot by many. We looked at how including hot models may skew the result of impact studies. Applied to hydrology, this study shows that hot models do not systematically produce hydrological outliers.
Ross Pidoto and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 3957–3975, https://doi.org/10.5194/hess-27-3957-2023, https://doi.org/10.5194/hess-27-3957-2023, 2023
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Long continuous time series of meteorological variables (i.e. rainfall, temperature) are required for the modelling of floods. Observed time series are generally too short or not available. Weather generators are models that reproduce observed weather time series. This study extends an existing station-based rainfall model into space by enforcing observed spatial rainfall characteristics. To model other variables (i.e. temperature) the model is then coupled to a simple resampling approach.
Kajsa Maria Parding, Rasmus Emil Benestad, Anita Verpe Dyrrdal, and Julia Lutz
Hydrol. Earth Syst. Sci., 27, 3719–3732, https://doi.org/10.5194/hess-27-3719-2023, https://doi.org/10.5194/hess-27-3719-2023, 2023
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Intensity–duration–frequency (IDF) curves describe the likelihood of extreme rainfall and are used in hydrology and engineering, for example, for flood forecasting and water management. We develop a model to estimate IDF curves from daily meteorological observations, which are more widely available than the observations on finer timescales (minutes to hours) that are needed for IDF calculations. The method is applied to all data at once, making it efficient and robust to individual errors.
Kaltrina Maloku, Benoit Hingray, and Guillaume Evin
Hydrol. Earth Syst. Sci., 27, 3643–3661, https://doi.org/10.5194/hess-27-3643-2023, https://doi.org/10.5194/hess-27-3643-2023, 2023
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High-resolution precipitation data, needed for many applications in hydrology, are typically rare. Such data can be simulated from daily precipitation with stochastic disaggregation. In this work, multiplicative random cascades are used to disaggregate time series of 40 min precipitation from daily precipitation for 81 Swiss stations. We show that very relevant statistics of precipitation are obtained when precipitation asymmetry is accounted for in a continuous way in the cascade generator.
Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
EGUsphere, https://doi.org/10.5194/egusphere-2023-2164, https://doi.org/10.5194/egusphere-2023-2164, 2023
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We used a systematic method to fine-tune two widely used models in 263 river basins in the Western U.S. Then, we developed transfer relationships to similar basins and extended the fine-tuned parameters to ungauged basins . We assessed factors that influence the performance of the parameter estimation and extension. We also checked how well the two models could simulate high and low river flows and saw notable enhancements. This helps studies on regional river flow simulation and forecast.
Annalina Lombardi, Barbara Tomassetti, Valentina Colaiuda, Ludovico Di Antonio, Paolo Tuccella, Mario Montopoli, Giovanni Ravazzani, Frank Silvio Marzano, Raffaele Lidori, and Giulia Panegrossi
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-214, https://doi.org/10.5194/hess-2023-214, 2023
Revised manuscript accepted for HESS
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The accurate estimation of precipitation and its spatial variability within a watershed is crucial for reliable discharge simulations. The study is the first detailed analysis of the potential usage of the Cellular Automata technique to merge different rainfall data inputs to hydrological models. This work shows an improvement in the performance of hydrological simulations when satellite and rain gauge data are merged.
Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, and Aliaksandr Volchak
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-181, https://doi.org/10.5194/hess-2023-181, 2023
Revised manuscript accepted for HESS
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Climate change accelerates the water cycle and alters the spatiotemporal distribution of hydrological variables, thus complicating the projection of future streamflow and hydrological droughts. We develop a cascade modeling chain to project future bivariate hydrological drought characteristics over China, using 5 bias-corrected GCM outputs under three shared socioeconomic pathways, five hydrological models and a deep learning model.
Theresa Boas, Heye Reemt Bogena, Dongryeol Ryu, Harry Vereecken, Andrew Western, and Harrie-Jan Hendricks Franssen
Hydrol. Earth Syst. Sci., 27, 3143–3167, https://doi.org/10.5194/hess-27-3143-2023, https://doi.org/10.5194/hess-27-3143-2023, 2023
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In our study, we tested the utility and skill of a state-of-the-art forecasting product for the prediction of regional crop productivity using a land surface model. Our results illustrate the potential value and skill of combining seasonal forecasts with modelling applications to generate variables of interest for stakeholders, such as annual crop yield for specific cash crops and regions. In addition, this study provides useful insights for future technical model evaluations and improvements.
Yuanhong You, Chunlin Huang, Zuo Wang, Jinliang Hou, Ying Zhang, and Peipei Xu
Hydrol. Earth Syst. Sci., 27, 2919–2933, https://doi.org/10.5194/hess-27-2919-2023, https://doi.org/10.5194/hess-27-2919-2023, 2023
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This study aims to investigate the performance of a genetic particle filter which was used as a snow data assimilation scheme across different snow climates. The results demonstrated that the genetic algorithm can effectively solve the problem of particle degeneration and impoverishment in a particle filter algorithm. The system has revealed a low sensitivity to the particle number in point-scale application of the ground snow depth measurement.
Patricia Lawston-Parker, Joseph A. Santanello Jr., and Nathaniel W. Chaney
Hydrol. Earth Syst. Sci., 27, 2787–2805, https://doi.org/10.5194/hess-27-2787-2023, https://doi.org/10.5194/hess-27-2787-2023, 2023
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Irrigation has been shown to impact weather and climate, but it has only recently been considered in prediction models. Prescribing where (globally) irrigation takes place is important to accurately simulate its impacts on temperature, humidity, and precipitation. Here, we evaluated three different irrigation maps in a weather model and found that the extent and intensity of irrigated areas and their boundaries are important drivers of weather impacts resulting from human practices.
Marcos Julien Alexopoulos, Hannes Müller-Thomy, Patrick Nistahl, Mojca Šraj, and Nejc Bezak
Hydrol. Earth Syst. Sci., 27, 2559–2578, https://doi.org/10.5194/hess-27-2559-2023, https://doi.org/10.5194/hess-27-2559-2023, 2023
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For rainfall-runoff simulation of a certain area, hydrological models are used, which requires precipitation data and temperature data as input. Since these are often not available as observations, we have tested simulation results from atmospheric models. ERA5-Land and COSMO-REA6 were tested for Slovenian catchments. Both lead to good simulations results. Their usage enables the use of rainfall-runoff simulation in unobserved catchments as a requisite for, e.g., flood protection measures.
María Agostina Bracalenti, Omar Vicente Müller, Miguel Angel Lovino, and Ernesto Hugo Berbery
EGUsphere, https://doi.org/10.5194/egusphere-2023-1427, https://doi.org/10.5194/egusphere-2023-1427, 2023
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The Gran Chaco is a large dry forest in South America that has been heavily deforested, particularly in the Dry Chaco subregion. This deforestation has changed the land’s characteristics, affecting the local and regional climate. The study reveals that deforestation has resulted in reduced precipitation, soil moisture, and runoff, and if intensive agriculture continues, it could make summers in this arid region even drier and hotter.
Tuantuan Zhang, Zhongmin Liang, Wentao Li, Jun Wang, Yiming Hu, and Binquan Li
Hydrol. Earth Syst. Sci., 27, 1945–1960, https://doi.org/10.5194/hess-27-1945-2023, https://doi.org/10.5194/hess-27-1945-2023, 2023
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We use circulation classifications and spatiotemporal deep neural networks to correct raw daily forecast precipitation by combining large-scale circulation patterns with local spatiotemporal information. We find that the method not only captures the westward and northward movement of the western Pacific subtropical high but also shows substantially higher bias-correction capabilities than existing standard methods in terms of spatial scale, timescale, and intensity.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 27, 1865–1889, https://doi.org/10.5194/hess-27-1865-2023, https://doi.org/10.5194/hess-27-1865-2023, 2023
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Hybrid forecasting systems combine data-driven methods with physics-based weather and climate models to improve the accuracy of predictions for meteorological and hydroclimatic events such as rainfall, temperature, streamflow, floods, droughts, tropical cyclones, or atmospheric rivers. We review recent developments in hybrid forecasting and outline key challenges and opportunities in the field.
Zexuan Xu, Erica R. Siirila-Woodburn, Alan M. Rhoades, and Daniel Feldman
Hydrol. Earth Syst. Sci., 27, 1771–1789, https://doi.org/10.5194/hess-27-1771-2023, https://doi.org/10.5194/hess-27-1771-2023, 2023
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The goal of this study is to understand the uncertainties of different modeling configurations for simulating hydroclimate responses in the mountainous watershed. We run a group of climate models with various configurations and evaluate them against various reference datasets. This paper integrates a climate model and a hydrology model to have a full understanding of the atmospheric-through-bedrock hydrological processes.
Jolanda J. E. Theeuwen, Arie Staal, Obbe A. Tuinenburg, Bert V. M. Hamelers, and Stefan C. Dekker
Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, https://doi.org/10.5194/hess-27-1457-2023, 2023
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Evaporation changes over land affect rainfall over land via moisture recycling. We calculated the local moisture recycling ratio globally, which describes the fraction of evaporated moisture that rains out within approx. 50 km of its source location. This recycling peaks in summer as well as over wet and elevated regions. Local moisture recycling provides insight into the local impacts of evaporation changes and can be used to study the influence of regreening on local rainfall.
Eleonora Dallan, Francesco Marra, Giorgia Fosser, Marco Marani, Giuseppe Formetta, Christoph Schär, and Marco Borga
Hydrol. Earth Syst. Sci., 27, 1133–1149, https://doi.org/10.5194/hess-27-1133-2023, https://doi.org/10.5194/hess-27-1133-2023, 2023
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Convection-permitting climate models could represent future changes in extreme short-duration precipitation, which is critical for risk management. We use a non-asymptotic statistical method to estimate extremes from 10 years of simulations in an orographically complex area. Despite overall good agreement with rain gauges, the observed decrease of hourly extremes with elevation is not fully represented by the model. Climate model adjustment methods should consider the role of orography.
Bora Shehu, Winfried Willems, Henrike Stockel, Luisa-Bianca Thiele, and Uwe Haberlandt
Hydrol. Earth Syst. Sci., 27, 1109–1132, https://doi.org/10.5194/hess-27-1109-2023, https://doi.org/10.5194/hess-27-1109-2023, 2023
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Rainfall volumes at varying duration and frequencies are required for many engineering water works. These design volumes have been provided by KOSTRA-DWD in Germany. However, a revision of the KOSTRA-DWD is required, in order to consider the recent state-of-the-art and additional data. For this purpose, in our study, we investigate different methods and data available to achieve the best procedure that will serve as a basis for the development of the new KOSTRA-DWD product.
Sandra M. Hauswirth, Marc F. P. Bierkens, Vincent Beijk, and Niko Wanders
Hydrol. Earth Syst. Sci., 27, 501–517, https://doi.org/10.5194/hess-27-501-2023, https://doi.org/10.5194/hess-27-501-2023, 2023
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Forecasts on water availability are important for water managers. We test a hybrid framework based on machine learning models and global input data for generating seasonal forecasts. Our evaluation shows that our discharge and surface water level predictions are able to create reliable forecasts up to 2 months ahead. We show that a hybrid framework, developed for local purposes and combined and rerun with global data, can create valuable information similar to large-scale forecasting models.
Richard Arsenault, Jean-Luc Martel, Frédéric Brunet, François Brissette, and Juliane Mai
Hydrol. Earth Syst. Sci., 27, 139–157, https://doi.org/10.5194/hess-27-139-2023, https://doi.org/10.5194/hess-27-139-2023, 2023
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Predicting flow in rivers where no observation records are available is a daunting task. For decades, hydrological models were set up on these gauges, and their parameters were estimated based on the hydrological response of similar or nearby catchments where records exist. New developments in machine learning have now made it possible to estimate flows at ungauged locations more precisely than with hydrological models. This study confirms the performance superiority of machine learning models.
Shaun Harrigan, Ervin Zsoter, Hannah Cloke, Peter Salamon, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 27, 1–19, https://doi.org/10.5194/hess-27-1-2023, https://doi.org/10.5194/hess-27-1-2023, 2023
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Real-time river discharge forecasts and reforecasts from the Global Flood Awareness System (GloFAS) have been made publicly available, together with an evaluation of forecast skill at the global scale. Results show that GloFAS is skillful in over 93 % of catchments in the short (1–3 d) and medium range (5–15 d) and skillful in over 80 % of catchments in the extended lead time (16–30 d). Skill is summarised in a new layer on the GloFAS Web Map Viewer to aid decision-making.
Ying Li, Chenghao Wang, Ru Huang, Denghua Yan, Hui Peng, and Shangbin Xiao
Hydrol. Earth Syst. Sci., 26, 6413–6426, https://doi.org/10.5194/hess-26-6413-2022, https://doi.org/10.5194/hess-26-6413-2022, 2022
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Spatial quantification of oceanic moisture contribution to the precipitation over the Tibetan Plateau (TP) contributes to the reliable assessments of regional water resources and the interpretation of paleo archives in the region. Based on atmospheric reanalysis datasets and numerical moisture tracking, this work reveals the previously underestimated oceanic moisture contributions brought by the westerlies in winter and the overestimated moisture contributions from the Indian Ocean in summer.
Urmin Vegad and Vimal Mishra
Hydrol. Earth Syst. Sci., 26, 6361–6378, https://doi.org/10.5194/hess-26-6361-2022, https://doi.org/10.5194/hess-26-6361-2022, 2022
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Floods cause enormous damage to infrastructure and agriculture in India. However, the utility of ensemble meteorological forecast for hydrologic prediction has not been examined. Moreover, Indian river basins have a considerable influence of reservoirs that alter the natural flow variability. We developed a hydrologic modelling-based streamflow prediction considering the influence of reservoirs in India.
Camille Labrousse, Wolfgang Ludwig, Sébastien Pinel, Mahrez Sadaoui, Andrea Toreti, and Guillaume Lacquement
Hydrol. Earth Syst. Sci., 26, 6055–6071, https://doi.org/10.5194/hess-26-6055-2022, https://doi.org/10.5194/hess-26-6055-2022, 2022
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The interest of this study is to demonstrate that we identify two zones in our study area whose hydroclimatic behaviours are uneven. By investigating relationships between the hydroclimatic conditions in both clusters for past observations with the overall atmospheric functioning, we show that the inequalities are mainly driven by a different control of the atmospheric teleconnection patterns over the area.
Daeha Kim, Minha Choi, and Jong Ahn Chun
Hydrol. Earth Syst. Sci., 26, 5955–5969, https://doi.org/10.5194/hess-26-5955-2022, https://doi.org/10.5194/hess-26-5955-2022, 2022
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We proposed a practical method that predicts the evaporation rates on land surfaces (ET) where only atmospheric data are available. Using a traditional equation that describes partitioning of precipitation into ET and streamflow, we could approximately identify the key parameter of the predicting formulation based on land–atmosphere interactions. The simple method conditioned by local climates outperformed sophisticated models in reproducing water-balance estimates across Australia.
Ruksana H. Rimi, Karsten Haustein, Emily J. Barbour, Sarah N. Sparrow, Sihan Li, David C. H. Wallom, and Myles R. Allen
Hydrol. Earth Syst. Sci., 26, 5737–5756, https://doi.org/10.5194/hess-26-5737-2022, https://doi.org/10.5194/hess-26-5737-2022, 2022
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Extreme rainfall events are major concerns in Bangladesh. Heavy downpours can cause flash floods and damage nearly harvestable crops in pre-monsoon season. While in monsoon season, the impacts can range from widespread agricultural loss, huge property damage, to loss of lives and livelihoods. This paper assesses the role of anthropogenic climate change drivers in changing risks of extreme rainfall events during pre-monsoon and monsoon seasons at local sub-regional-scale within Bangladesh.
Brigitta Simon-Gáspár, Gábor Soós, and Angela Anda
Hydrol. Earth Syst. Sci., 26, 4741–4756, https://doi.org/10.5194/hess-26-4741-2022, https://doi.org/10.5194/hess-26-4741-2022, 2022
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Due to climate change, it is extremely important to determine evaporation as accurately as possible. In nature, there are sediments and macrophytes in the open waters; thus, one of the aims was to investigate their effect on evaporation. The second aim of this paper was to estimate daily evaporation by using different models, which, according to results, have high priority in the evaporation prediction. Water management can obtain useful information from the results of the current research.
Haiyang Shi, Geping Luo, Olaf Hellwich, Mingjuan Xie, Chen Zhang, Yu Zhang, Yuangang Wang, Xiuliang Yuan, Xiaofei Ma, Wenqiang Zhang, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 26, 4603–4618, https://doi.org/10.5194/hess-26-4603-2022, https://doi.org/10.5194/hess-26-4603-2022, 2022
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There have been many machine learning simulation studies based on eddy-covariance observations for water flux and evapotranspiration. We performed a meta-analysis of such studies to clarify the impact of different algorithms and predictors, etc., on the reported prediction accuracy. It can, to some extent, guide future global water flux modeling studies and help us better understand the terrestrial ecosystem water cycle.
Yaozhi Jiang, Kun Yang, Hua Yang, Hui Lu, Yingying Chen, Xu Zhou, Jing Sun, Yuan Yang, and Yan Wang
Hydrol. Earth Syst. Sci., 26, 4587–4601, https://doi.org/10.5194/hess-26-4587-2022, https://doi.org/10.5194/hess-26-4587-2022, 2022
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Our study quantified the altitudinal precipitation gradients (PGs) over the Third Pole (TP). Most sub-basins in the TP have positive PGs, and negative PGs are found in the Himalayas, the Hengduan Mountains and the western Kunlun. PGs are positively correlated with wind speed but negatively correlated with relative humidity. In addition, PGs tend to be positive at smaller spatial scales compared to those at larger scales. The findings can assist precipitation interpolation in the data-sparse TP.
Francesca Carletti, Adrien Michel, Francesca Casale, Alice Burri, Daniele Bocchiola, Mathias Bavay, and Michael Lehning
Hydrol. Earth Syst. Sci., 26, 3447–3475, https://doi.org/10.5194/hess-26-3447-2022, https://doi.org/10.5194/hess-26-3447-2022, 2022
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High Alpine catchments are dominated by the melting of seasonal snow cover and glaciers, whose amount and seasonality are expected to be modified by climate change. This paper compares the performances of different types of models in reproducing discharge among two catchments under present conditions and climate change. Despite many advantages, the use of simpler models for climate change applications is controversial as they do not fully represent the physics of the involved processes.
Ivan Vorobevskii, Thi Thanh Luong, Rico Kronenberg, Thomas Grünwald, and Christian Bernhofer
Hydrol. Earth Syst. Sci., 26, 3177–3239, https://doi.org/10.5194/hess-26-3177-2022, https://doi.org/10.5194/hess-26-3177-2022, 2022
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In the study we analysed the uncertainties of the meteorological data and model parameterization for evaporation modelling. We have taken a physically based lumped BROOK90 model and applied it in three different frameworks using global, regional and local datasets. Validating the simulations with eddy-covariance data from five stations in Germany, we found that the accuracy model parameterization plays a bigger role than the quality of the meteorological forcing.
Thomas Lees, Steven Reece, Frederik Kratzert, Daniel Klotz, Martin Gauch, Jens De Bruijn, Reetik Kumar Sahu, Peter Greve, Louise Slater, and Simon J. Dadson
Hydrol. Earth Syst. Sci., 26, 3079–3101, https://doi.org/10.5194/hess-26-3079-2022, https://doi.org/10.5194/hess-26-3079-2022, 2022
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Despite the accuracy of deep learning rainfall-runoff models, we are currently uncertain of what these models have learned. In this study we explore the internals of one deep learning architecture and demonstrate that the model learns about intermediate hydrological stores of soil moisture and snow water, despite never having seen data about these processes during training. Therefore, we find evidence that the deep learning approach learns a physically realistic mapping from inputs to outputs.
Huajin Lei, Hongyu Zhao, and Tianqi Ao
Hydrol. Earth Syst. Sci., 26, 2969–2995, https://doi.org/10.5194/hess-26-2969-2022, https://doi.org/10.5194/hess-26-2969-2022, 2022
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How to combine multi-source precipitation data effectively is one of the hot topics in hydrometeorological research. This study presents a two-step merging strategy based on machine learning for multi-source precipitation merging over China. The results demonstrate that the proposed method effectively distinguishes the occurrence of precipitation events and reduces the error in precipitation estimation. This method is robust and may be successfully applied to other areas even with scarce data.
Alexane Lovat, Béatrice Vincendon, and Véronique Ducrocq
Hydrol. Earth Syst. Sci., 26, 2697–2714, https://doi.org/10.5194/hess-26-2697-2022, https://doi.org/10.5194/hess-26-2697-2022, 2022
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The hydrometeorological skills of two new nowcasting systems for forecasting Mediterranean intense rainfall events and floods are investigated. The results reveal that up to 75 or 90 min of forecast the performance of the nowcasting system blending numerical weather prediction and extrapolation of radar estimation is higher than the numerical weather model. For lead times up to 3 h the skills are equivalent in general. Using these nowcasting systems for flash flood forecasting is also promising.
Alexandre Tuel, Bettina Schaefli, Jakob Zscheischler, and Olivia Martius
Hydrol. Earth Syst. Sci., 26, 2649–2669, https://doi.org/10.5194/hess-26-2649-2022, https://doi.org/10.5194/hess-26-2649-2022, 2022
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River discharge is strongly influenced by the temporal structure of precipitation. Here, we show how extreme precipitation events that occur a few days or weeks after a previous event have a larger effect on river discharge than events occurring in isolation. Windows of 2 weeks or less between events have the most impact. Similarly, periods of persistent high discharge tend to be associated with the occurrence of several extreme precipitation events in close succession.
Cited articles
Abegg, B., Steiger, R., and Walser, R.: Herausforderung Klimawandel: Chancen
und Risiken für den Tourismus in Graubünden, Amt für Wirtschaft und
Tourismus, Chur, Innsbruck, 2013. a
Achleitner, S., Schöber, J., Rinderer, M., Leonhardt, G., Schöberl, F.,
Kirnbauer, R., and Schönlaub, H.: Analyzing the operational performance of
the hydrological models in an alpine flood forecasting system, J. Hydrol.,
412–413, 90–100, https://doi.org/10.1016/j.jhydrol.2011.07.047, 2012. a
Anghileri, D., Voisin, N., Castelletti, A., Pianosi, F., Nijssen, B., and
Lettenmaier, D. P.: Value of long-term streamflow forecasts to reservoir
operations for water supply in snow-dominated river catchments, Water Resour.
Res., 52, 4209–4225, https://doi.org/10.1002/2015WR017864, 2016. a
Auer, I., Böhm, R., Jurkovic, A., Lipa, W., Orlik, A., Potzmann, R.,
Schöner, W., Ungersböck, M., Matulla, C., Briffa, K., Jones, P.,
Efthymiadis, D., Brunetti, M., Nanni, T., Maugeri, M., Mercalli, L., Mestre,
O., Moisselin, J.-M., Begert, M., Müller-Westermeier, G., Kveton, V.,
Bochnicek, O., Stastny, P., Lapin, M., Szalai, S., Szentimrey, T., Cegnar, T.,
Dolinar, M., Gajic-Capka, M., Zaninovic, K., Majstorovic, Z., and Nieplova, E.:
HISTALP – historical instrumental climatological surface time series of the
Greater Alpine Region, Int. J. Climatol., 27, 17–46, https://doi.org/10.1002/joc.1377, 2007. a, b
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature, 438,
303–309, https://doi.org/10.1038/nature04141, 2005. a
Bartolini, E., Claps, P., and D'Odorico, P.: Interannual variability of winter
precipitation in the European Alps: relations with the North Atlantic Oscillation,
Hydrol. Earth Syst. Sci., 13, 17–25, https://doi.org/10.5194/hess-13-17-2009, 2009. a
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. a, b
Beniston, M. and Jungo, P.: Shifts in the distributions of pressure, temperature
and moisture and changes in the typical weather patterns in the Alpine region
in response to the behavior of the North Atlantic Oscillation, Theor. Appl.
Climatol., 71, 29–42, https://doi.org/10.1007/s704-002-8206-7, 2002. a
Bock, A. R., Hay, L. E., McCabe, G. J., Markstrom, S. L., and Atkinson, R. D.:
Parameter regionalization of a monthly water balance model for the conterminous
United States, Hydrol. Earth Syst. Sci., 20, 2861–2876, https://doi.org/10.5194/hess-20-2861-2016, 2016. a
Bruno Soares, M. and Dessai, S.: Exploring the use of seasonal climate forecasts
in Europe through expert elicitation, Clim. Risk Manage., 10, 8–16,
https://doi.org/10.1016/j.crm.2015.07.001, 2015. a
Butler, A. H., Arribas, A., Athanassiadou, M., Baehr, J., Calvo, N., Charlton-Perez,
A., Déqué, M., Domeisen, D. I. V., Fröhlich, K., Hendon, H., Imada,
Y., Ishii, M., Iza, M., Karpechko, A. Y., Kumar, A., MacLachlan, C., Merryfield,
W. J., Müller, W. A., O'Neill, A., Scaife, A. A., Scinocca, J., Sigmond, M.,
Stockdale, T. N., and Yasuda, T.: The Climate-system Historical Forecast Project:
do stratosphere-resolving models make better seasonal climate predictions in
boreal winter?, Q. J. Roy. Meteorol. Soc., 142, 1413–1427, https://doi.org/10.1002/qj.2743, 2016. a
Chahine, M. T.: GEWEX: The global energy and water cycle experiment, Eos Trans.
Am. Geophys. Un., 73, 9–14, 1992. a
Chimani, B., Matulla, C., Böhm, R., and Hofstätter, M.: A new high
resolution absolute temperature grid for the Greater Alpine Region back to 1780,
Int. J. Climatol., 33, 2129–2141, https://doi.org/10.1002/joc.3574, 2013. a
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. a
Day, G. N.: Extended Streamflow Forecasting Using NWSRFS, J. Water Resour. Pl.
Manage., 111, 157–170, https://doi.org/10.1061/(ASCE)0733-9496(1985)111:2(157), 1985. a
Doblas-Reyes, F. J., García-Serrano, J., Lienert, F., Biescas, A. P., and
Rodrigues, L. R. L.: Seasonal climate predictability and forecasting: Status
and prospects, WIREs Clim. Change, 4, 245–268, https://doi.org/10.1002/wcc.217, 2013. a, b, c
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. a
Eade, R., Smith, D., Scaife, A., Wallace, E., Dunstone, N., Hermanson, L., and
Robinson, N.: Do seasonal-to-decadal climate predictions underestimate the
predictability of the real world?, Geophys. Res. Lett., 41, 5620–5628,
https://doi.org/10.1002/2014gl061146, 2014. a, b
Finger, D., Heinrich, G., Gobiet, A., and Bauder, A.: Projections of future
water resources and their uncertainty in a glacierized catchment in the Swiss
Alps and the subsequent effects on hydropower production during the 21st century,
Water Resour. Res., 48, W02521, https://doi.org/10.1029/2011WR010733, 2012. a
Förster, K., Meon, G., Marke, T., and Strasser, U.: Effect of meteorological
forcing and snow model complexity on hydrological simulations in the Sieber
catchment (Harz Mountains, Germany), Hydrol. Earth Syst. Sci., 18, 4703–4720,
https://doi.org/10.5194/hess-18-4703-2014, 2014. a
Förster, K., Oesterle, F., Hanzer, F., Schöber, J., Huttenlau, M., and
Strasser, U.: A snow and ice melt seasonal prediction modelling system for
Alpine reservoirs, Proc. Int. Assoc. Hydrol. Sci., 374, 143–150, https://doi.org/10.5194/piahs-374-143-2016, 2016. a, b
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. a
Greatbatch, R. J., Gollan, G., Jung, T., and Kunz, T.: Factors influencing
Northern Hemisphere winter mean atmospheric circulation anomalies during the
period 1960/61 to 2001/02, Q. J. Roy. Meteorol. Soc., 138, 1970–1982, https://doi.org/10.1002/qj.1947, 2012. a
Greenslade, D. and Berkhout, F.: Future Earth-Research for Global Sustainability,
in: EGU General Assembly Conference Abstracts, vol. 16, 27 April–2 May 2014, Vienna, Austria, 2014. a
Hanzer, F., Marke, T., and Strasser, U.: Distributed, explicit modeling of
technical snow production for a ski area in the Schladming region (Austrian Alps),
Cold Reg. Sci. Technol., 108, 113–124, https://doi.org/10.1016/j.coldregions.2014.08.003, 2014. a
Hanzer, F., Helfricht, K., Marke, T., and Strasser, U.: Multilevel spatiotemporal
validation of snow/ice mass balance and runoff modeling in glacierized catchments,
The Cryosphere, 10, 1859–1881, https://doi.org/10.5194/tc-10-1859-2016, 2016. a
Hanzer, F., Förster, K., Nemec, J., and Strasser, U.: Projected cryospheric
and hydrological impacts of 21st century climate change in the Ötztal
Alps (Austria) simulated using a physically based approach, Hydrol. Earth
Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-309, in review, 2017. a
Hersbach, H.: Decomposition of the Continuous Ranked Probability Score for
Ensemble Prediction Systems, Weather Forecast., 15, 559–570, https://doi.org/10.1175/1520-0434(2000)015<0559:DOTCRP>2.0.CO;2, 2000. a, b
Ineson, S. and Scaife, A. A.: The role of the stratosphere in the European
climate response to El Niño, Nat. Geosci., 2, 32–36, https://doi.org/10.1038/ngeo381, 2008. a
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. a, b
Kang, D., Lee, M.-I., Im, J., Kim, D., Kim, H.-M., Kang, H.-S., Schubert, S. D.,
Arribas, A., and MacLachlan, C.: Prediction of the Arctic Oscillation in boreal
winter by dynamical seasonal forecasting systems, Geophys. Res. Lett., 41,
3577–3585, https://doi.org/10.1002/2014GL060011, 2014. a
Kaser, G., Großhauser, M., and Marzeion, B.: Contribution potential of
glaciers to water availability in different climate regimes, P. Natl. Acad.
Sci. USA, 107, 20223–20227, https://doi.org/10.1073/pnas.1008162107, 2010. a
Kim, H.-M., Webster, P. J., and Curry, J. A.: Seasonal prediction skill of
ECMWF System 4 and NCEP CFSv2 retrospective forecast for the Northern Hemisphere
Winter, Clim. Dynam., 39, 2957–2973, https://doi.org/10.1007/s00382-012-1364-6, 2012. a, b
Kirtman, B. and Pirani, A.: The State of the Art of Seasonal Prediction: Outcomes
and Recommendations from the First World Climate Research Program Workshop on
Seasonal Prediction, B. Am. Meteorol. Soc., 90, 455–458, https://doi.org/10.1175/2008BAMS2707.1, 2009. a
Kirtman, B., Power, S. B., Adedoyin, J. A., Boer, G. J., Camilloni, I.,
Doblas-Reyes, F. J., Fiore, A. M., Kimoto, M., Meehl, G. A., Prather, M., Sarr,
A., Schar, C., Sutton, R., van Oldenborgh, G. J., Vecchi, G., and Wang, H. J.:
Near-term climate change: projections and predictability, in: Climate change 2013:
the physical science basis: contribution to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D.,
Plattner, G.-K., Tignor, M. M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y.,
Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, 2014. a
Klemeš, V.: Operational testing of hydrological simulation models, Hydrolog.
Sci. J., 31, 13–24, https://doi.org/10.1080/02626668609491024, 1986. a
Kling, H., Fuchs, M., and Paulin, M.: Runoff conditions in the upper Danube
basin under an ensemble of climate change scenarios, J. Hydrol., 424-425,
264–277, https://doi.org/10.1016/j.jhydrol.2012.01.011, 2012. a
Krajči, P., Kirnbauer, R., Parajka, J., Schöber, J., and Blöschl,
G.: The Kühtai data set: 25 years of lysimetric, snow pillow, and
meteorological measurements, Water Resour. Res., 53, 5158–5165, https://doi.org/10.1002/2017WR020445, 2017. a
Kumar, A., Chen, M., and Wang, W.: Understanding Prediction Skill of Seasonal
Mean Precipitation over the Tropics, J. Climate, 26, 5674–5681, https://doi.org/10.1175/JCLI-D-12-00731.1, 2013. a
Mackay, J., Jackson, C., Brookshaw, A., Scaife, A., Cook, J., and Ward, R.:
Seasonal forecasting of groundwater levels in principal aquifers of the United
Kingdom, J. Hydrol., 530, 815–828, https://doi.org/10.1016/j.jhydrol.2015.10.018, 2015. a
MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife,
A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier,
P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): A
High-Resolution Seasonal Forecast System, Q. J. Roy. Meteorol. Soc., 141,
1072–1084, https://doi.org/10.1002/qj.2396, 2015. a
Marke, T., Strasser, U., Hanzer, F., Stötter, J., Wilcke, R. A. I., and
Gobiet, A.: Scenarios of Future Snow Conditions in Styria (Austrian Alps), J.
Hydrometeorol., 16, 261–277, https://doi.org/10.1175/JHM-D-14-0035.1, 2015. a
Marzeion, B. and Nesje, A.: Spatial patterns of North Atlantic Oscillation
influence on mass balance variability of European glaciers, The Cryosphere, 6,
661–673, https://doi.org/10.5194/tc-6-661-2012, 2012. a
Marzeion, B., Jarosch, A. H., and Hofer, M.: Past and future sea-level change
from the surface mass balance of glaciers, The Cryosphere, 6, 1295–1322,
https://doi.org/10.5194/tc-6-1295-2012, 2012. a, b
McCabe, G. J. and Markstrom, S. L.: A Monthly Water-Balance Model Driven By a
Graphical User Interface, US Geological Survey Open-File report, https://pubs.usgs.gov/of/2007/1088/
(last access: 22 February 2017), 2007. a
Molteni, F., Stockdale, T. N., and Vitart, F.: Understanding and modelling
extra-tropical teleconnections with the Indo-Pacific region during the northern
winter, Clim. Dynam., 45, 3119–3140, https://doi.org/10.1007/s00382-015-2528-y, 2015. a
Montanari, A., Young, G., Savenije, H., Hughes, D., Wagener, T., Ren, L. L.,
Koutsoyiannis, D., Cudennec, C., Toth, E., Grimaldi, S., Blöschl, G.,
Sivapalan, M., Beven, K., Gupta, H., Hipsey, M., Schaefli, B., Arheimer, B.,
Boegh, E., Schymanski, S. J., Di Baldassarre, G., Yu, B., Hubert, P., Huang, Y.,
Schumann, A., Post, D. A., Srinivasan, V., Harman, C., Thompson, S., Rogger, M.,
Viglione, A., McMillan, H., Characklis, G., Pang, Z., and Belyaev, V.: Panta
Rhei – Everything Flows: Change in hydrology and society – The IAHS Scientific
Decade 2013–2022, Hydrolog. Sci. J., 58, 1256–1275, https://doi.org/10.1080/02626667.2013.809088, 2013. a
Olefs, M., Fischer, A., and Lang, J.: Boundary Conditions for Artificial Snow
Production in the Austrian Alps, J. Appl. Meteorol. Clim., 49, 1096–1113,
https://doi.org/10.1175/2010JAMC2251.1, 2010. a
Pagano, T., Garen, D., and Sorooshian, S.: Evaluation of official western US
seasonal water supply outlooks, 1922–2002, J. Hydrometeorol., 5, 896–909,
https://doi.org/10.1175/1525-7541(2004)005<0896:EOOWUS>2.0.CO;2, 2004. a, b
Painter, T. H., Berisford, D. F., Boardman, J. W., Bormann, K. J., Deems, J. S.,
Gehrke, F., Hedrick, A., Joyce, M., Laidlaw, R., Marks, D., Mattmann, C.,
McGurk, B., Ramirez, P., Richardson, M., Skiles, S. M., Seidel, F. C., and
Winstral, A.: The Airborne Snow Observatory: Fusion of scanning lidar, imaging
spectrometer, and physically-based modeling for mapping snow water equivalent
and snow albedo, Remote Sens. Environ., 184, 139–152, https://doi.org/10.1016/j.rse.2016.06.018, 2016. a
Pomeroy, J., Bernhardt, M., and Marks, D.: Water resources: Research network to
track alpine water, Nature, 521, 32–32, https://doi.org/10.1038/521032c, 2015. a
Reid, W. V., Chen, D., Goldfarb, L., Hackmann, H., Lee, Y. T., Mokhele, K.,
Ostrom, E., Raivio, K., Rockstrom, J., Schellnhuber, H. J., and Whyte, A.:
Earth System Science for Global Sustainability: Grand Challenges, Science,
330, 916–917, https://doi.org/10.1126/science.1196263, 2010. a
Riddle, E. E., Butler, A. H., Furtado, J. C., Cohen, J. L., and Kumar, A.: CFSv2
ensemble prediction of the wintertime Arctic Oscillation, Clim. Dynam., 41,
1099–1116, https://doi.org/10.1007/s00382-013-1850-5, 2013. a
Robertson, D. E. and Wang, Q. J.: A Bayesian Approach to Predictor Selection
for Seasonal Streamflow Forecasting, J. Hydrometeorol., 13, 155–171,
https://doi.org/10.1175/JHM-D-10-05009.1, 2012. a
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. a
Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D.,
Hou, Y.-T., Chuang, H.-Y., Iredell, M., Ek, M., Meng, J., Yang, R., Mendez, M.
P., van den Dool, H., Zhang, Q., Wang, W., Chen, M., and Becker, E.: The NCEP
Climate Forecast System Version 2, J. Climate, 27, 2185–2208, https://doi.org/10.1175/JCLI-D-12-00823.1, 2014. a
Scaife, A. A., Arribas, A., Blockley, E., Brookshaw, A., Clark, R. T., Dunstone,
N., Eade, R., Fereday, D., Folland, C. K., Gordon, M., Hermanson, L., Knight,
J. R., Lea, D. J., MacLachlan, C., Maidens, A., Martin, M., Peterson, A. K.,
Smith, D., Vellinga, M., Wallace, E., Waters, J., and Williams, A.: Skillful
long-range prediction of European and North American winters, Geophys. Res.
Lett., 41, 2514–2519, https://doi.org/10.1002/2014GL059637, 2014. a, b, c, d, e
Scaife, A. A., Karpechko, A. Y., Baldwin, M. P., Brookshaw, A., Butler, A. H.,
Eade, R., Gordon, M., MacLachlan, C., Martin, N., Dunstone, N., and Smith, D.:
Seasonal winter forecasts and the stratosphere, Atmos. Sci. Lett., 17, 51–56,
https://doi.org/10.1002/asl.598, 2016. a, b
Scaife, A. A., Comer, R. E., Dunstone, N. J., Knight, J. R., Smith, D. M.,
MacLachlan, C., Martin, N., Peterson, K. A., Rowlands, D., Carroll, E. B.,
Belcher, S., and Slingo, J.: Tropical rainfall, Rossby waves and regional winter
climate predictions, Q. J. Roy. Meteorol. Soc., 143, 1–11, https://doi.org/10.1002/qj.2910, 2017. a
Schaefli, B. and Gupta, H. V.: Do Nash values have value?, Hydrol. Process.,
21, 2075–2080, https://doi.org/10.1002/hyp.6825, 2007. a, b, c, d
Schaefli, B., Hingray, B., and Musy, A.: Climate change and hydropower production
in the Swiss Alps: quantification of potential impacts and related modelling
uncertainties, Hydrol. Earth Syst. Sci., 11, 1191–1205, https://doi.org/10.5194/hess-11-1191-2007, 2007. a
Schattan, P., Baroni, G., Oswald, S. E., Schöber, J., Fey, C., Kormann, C.,
Huttenlau, M., and Achleitner, S.: Continuous monitoring of snowpack dynamics
in alpine terrain by aboveground neutron sensing, Water Resour. Res., 53,
3615–3634, https://doi.org/10.1002/2016WR020234, 2017. a
Scherrer, S. C., Appenzeller, C., and Laternser, M.: Trends in Swiss Alpine
snow days: The role of local- and large-scale climate variability, Geophys.
Res. Lett., 31, L13215, https://doi.org/10.1029/2004GL020255, 2004. a
Schick, S., Rössler, O., and Weingartner, R.: Saisonale Abflussprognosen
für mittelgroße Einzugsgebiete in der Schweiz: Möglichkeiten und
Grenzen hydrologischer Persistenz (Seasonal runoff predictions for mesoscale
catchments in Switzerland – Potentials and limitations of hydrologic persistence),
Hydrol. Wasserbewirtsch., 59, 59–67, https://doi.org/10.5675/HyWa_2015,2_2, 2015. a, b
Schöber, J., Achleitner, S., Kirnbauer, R., Schöberl, F., and
Schönlaub, H.: Impact of snow state variation for design flood simulations
in glacierized catchments, Adv. Geosci., 31, 39–48, https://doi.org/10.5194/adgeo-31-39-2012, 2012. a
Schöber, J., Schneider, K., Helfricht, K., Schattan, P., Achleitner, S.,
Schöberl, F., and Kirnbauer, R.: Snow cover characteristics in a glacierized
catchment in the Tyrolean Alps – Improved spatially distributed modelling by
usage of Lidar data, J. Hydrol., 519, 3492–3510, https://doi.org/10.1016/j.jhydrol.2013.12.054, 2014. a
Schöber, J., Achleitner, S., Bellinger, J., Kirnbauer, R., and Schöberl,
F.: Analysis and modelling of snow bulk density in the Tyrolean Alps, Hydrol.
Res., 47, 419–441, https://doi.org/10.2166/nh.2015.132, 2016. a, b, c
Sivapalan, M., Savenije, H. H. G., and Blöschl, G.: Socio-hydrology: A new
science of people and water, Hydrol. Process., 26, 1270–1276, https://doi.org/10.1002/hyp.8426, 2012. a
Smith, D. M., Scaife, A. A., and Kirtman, B. P.: What is the current state of
scientific knowledge with regard to seasonal and decadal forecasting?, Environ.
Res. Lett., 7, 015602, https://doi.org/10.1088/1748-9326/7/1/015602, 2012. a, b
Svensson, C., Brookshaw, A., Scaife, A. A., Bell, V. A., Mackay, J. D., Jackson,
C. R., Hannaford, J., Davies, H. N., Arribas, A., and Stanley, S.: Long-range
forecasts of UK winter hydrology, Environ. Res. Lett., 10, 064006,
https://doi.org/10.1088/1748-9326/10/6/064006, 2015. a, b
Thornthwaite, C. W.: An Approach toward a Rational Classification of Climate,
Geogr. Rev., 38, 55–94, https://doi.org/10.2307/210739, 1948.
a
Trinh, B. N., Thielen-del Pozo, J., and Thirel, G.: The reduction continuous
rank probability score for evaluating discharge forecasts from hydrological
ensemble prediction systems, Atmos. Sci. Lett., 14, 61–65, https://doi.org/10.1002/asl2.417, 2013. a
Twedt, T. M., Schaake Jr., J. C., and Peck, E. L.: National Weather Service
extended streamflow prediction, in: Proceedings Western Snow Conference,
18–21 April 1977, Albuquerque, New Mexico, 52–57, 1977. a
Vaughan, C. and Dessai, S.: Climate services for society: origins, institutional
arrangements, and design elements for an evaluation framework, Wiley Interdiscip.
Rev. Clim. Change, 5, 587–603, https://doi.org/10.1002/wcc.290, 2014. a
Viviroli, D., Weingartner, R., and Messerli, B.: Assessing the hydrological
significance of the world's mountains, Mt. Res. Dev., 23, 32–40, 2003. a
Warner, T. T.: Numerical weather and climate prediction, Cambridge University
Press, Cambridge, New York, 2011. a
Weisheimer, A. and Palmer, T. N.: On the reliability of seasonal climate
forecasts, J. Roy. Soc. Interf., 11, 20131162, https://doi.org/10.1098/rsif.2013.1162, 2014. a, b
Wood, A. W. and Lettenmaier, D. P.: An ensemble approach for attribution of
hydrologic prediction uncertainty, Geophys. Res. Lett., 35, L14401, https://doi.org/10.1029/2008GL034648, 2008. a
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. a
Yuan, X., Wood, E. F., Roundy, J. K., and Pan, M.: CFSv2-Based Seasonal
Hydroclimatic Forecasts over the Conterminous United States, J. Climate, 26,
4828–4847, https://doi.org/10.1175/JCLI-D-12-00683.1, 2013. a
Yuan, X., Wood, E. F., and Ma, Z.: A review on climate-model-based seasonal
hydrologic forecasting: Physical understanding and system development, WIREs
Water, 2, 523–536, https://doi.org/10.1002/wat2.1088, 2015. a, b, c, d
Short summary
This article presents predictability analyses of snow accumulation for the upcoming winter season. The results achieved using two coupled atmosphere–ocean general circulation models and a water balance model show that the tendency of snow water equivalent anomalies (i.e. the sign of anomalies) is correctly predicted in up to 11 of 13 years. The results suggest that some seasonal predictions may be capable of predicting tendencies of hydrological model storages in parts of Europe.
This article presents predictability analyses of snow accumulation for the upcoming winter...
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