Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5403-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5403-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Oct 2018
Research article |
| 19 Oct 2018
| 19 Oct 2018
Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset
Francesco Silvestro
CORRESPONDING AUTHOR
CIMA Research Foundation, Savona, Italy
Antonio Parodi
CIMA Research Foundation, Savona, Italy
Lorenzo Campo
CIMA Research Foundation, Savona, Italy
Luca Ferraris
CIMA Research Foundation, Savona, Italy
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Francesco Silvestro, Nicola Rebora, Lauro Rossi, Daniele Dolia, Simone Gabellani, Flavio Pignone, Eva Trasforini, Roberto Rudari, Silvia De Angeli, and Cristiano Masciulli
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F. Silvestro, S. Gabellani, R. Rudari, F. Delogu, P. Laiolo, and G. Boni
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A. Hally, O. Caumont, L. Garrote, E. Richard, A. Weerts, F. Delogu, E. Fiori, N. Rebora, A. Parodi, A. Mihalović, M. Ivković, L. Dekić, W. van Verseveld, O. Nuissier, V. Ducrocq, D. D'Agostino, A. Galizia, E. Danovaro, and A. Clematis
Nat. Hazards Earth Syst. Sci., 15, 537–555, https://doi.org/10.5194/nhess-15-537-2015, https://doi.org/10.5194/nhess-15-537-2015, 2015
F. Silvestro, N. Rebora, and G. Cummings
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-7497-2013, https://doi.org/10.5194/nhessd-1-7497-2013, 2013
Revised manuscript not accepted
F. Silvestro, S. Gabellani, F. Delogu, R. Rudari, and G. Boni
Hydrol. Earth Syst. Sci., 17, 39–62, https://doi.org/10.5194/hess-17-39-2013, https://doi.org/10.5194/hess-17-39-2013, 2013
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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An increase in the spatial extent of European floods over the last 70 years
140-year daily ensemble streamflow reconstructions over 661 catchments in France
The agricultural expansion in South America's Dry Chaco: regional hydroclimate effects
Machine-learning-constrained projection of bivariate hydrological drought magnitudes and socioeconomic risks over China
Improving runoff simulation in the Western United States with Noah-MP and variable infiltration capacity
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
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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
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Flood risk assessment for Indian sub-continental river basins
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Spatiotemporal responses of runoff to climate change on the southern Tibetan Plateau
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Rutong Liu, Jiabo Yin, Louise Slater, Shengyu Kang, Yuanhang Yang, Pan Liu, Jiali Guo, Xihui Gu, Xiang Zhang, and Aliaksandr Volchak
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Lu Su, Dennis P. Lettenmaier, Ming Pan, and Benjamin Bass
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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
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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.
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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
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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.
Peng Huang, Agnès Ducharne, Lucia Rinchiuso, Jan Polcher, Laure Baratgin, Vladislav Bastrikov, and Eric Sauquet
EGUsphere, https://doi.org/10.5194/egusphere-2024-445, https://doi.org/10.5194/egusphere-2024-445, 2024
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We conducted a high-resolution hydrological simulation from 1959 to 2020 across France. We used a simple trial-and-error calibration to reduce the biases of the simulated water budget compared to observations. The selected simulation satisfactorily reproduces water fluxes, including their spatial contrasts and temporal trends. This work offers a thorough historical overview of water resources and a robust configuration for climate change impact analysis at the nationwide scale of France.
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.
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.
Amy Charlotte Green, Chris G. Kilsby, and András Bárdossy
EGUsphere, https://doi.org/10.5194/egusphere-2024-26, https://doi.org/10.5194/egusphere-2024-26, 2024
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Weather radar is a crucial tool in rainfall estimation, but radar rainfall estimates are subject to many error sources, with the true rainfall field unknown. A flexible model for simulating errors relating to the radar rainfall estimation process is implemented, inverting standard processing methods. This flexible and efficient model performs well at generating realistic weather radar images visually, for a large range of event types.
He Sun, Tandong Yao, Fengge Su, Wei Yang, and Deliang Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-11, https://doi.org/10.5194/hess-2024-11, 2024
Revised manuscript accepted for HESS
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Our findings revealed runoff generation is dominated by rainfall runoff in the YZ, and the largest glacier runoff contribution is in the downstream sub-basin. Annual runoff trends indicate an increase in the NX but a decrease in the NX-BXK for 1971–2020, due to contrasting precipitation changes. Total runoff across the sub-basins will consistently increase through the 21st century, mostly resulting from increased rainfall runoff.
Louise Arnal, Martyn P. Clark, Alain Pietroniro, Vincent Vionnet, David R. Casson, Paul H. Whitfield, Vincent Fortin, Andrew W. Wood, Wouter J. M. Knoben, Brandi W. Newton, and Colleen Walford
EGUsphere, https://doi.org/10.5194/egusphere-2023-3040, https://doi.org/10.5194/egusphere-2023-3040, 2024
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Forecasting river flows months in advance is crucial for many water sectors and society. In N. America, snowmelt is a key driver of river flow. This study presents a statistical workflow using snow data to forecast flows months ahead in N. American snow-fed rivers. Variations in predictability across the continent are evident, raising concerns about future river flow predictability amid a changing (snow) climate. The reproducible workflow hosted on GitHub supports collaborative and open science.
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.
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.
Peter E. Levy and the COSMOS-UK team
EGUsphere, https://doi.org/10.5194/egusphere-2023-2041, https://doi.org/10.5194/egusphere-2023-2041, 2023
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Having accurate up-to-date maps of soil moisture is important for many purposes. However, current modelled and remotely-sensed maps are rather coarse and not very accurate. Here, we demonstrate a simple but accurate approach which is closely linked to direct measurements of soil moisture at a network sites across the UK, and to the water balance (precipitation minus drainage and evaporation) measured at a large number of catchments (1212), as well as to remotely-sensed satellite estimates.
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.
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.
Cited articles
Altinbilek, D., Barret, E. C., Oweis, T., Salameh, E., and Siccardi, F.: Rainfall
Climatology on the Mediterranean, EU-AVI 080 Project ACROSS – Analyzed
climatology rainfall obtained from satellite and surface data in the
Mediterranean basin, EC Rep. A VI2-CT93-080, 32 pp., 1997.
ARPAL: Atlante climatico della liguria, available at:
http://www.arpal.gov.it/homepage/meteo/analisi-climatologiche/atlante-climatico-della-liguria.html
(last access: 12 October 2017), 2010.
Asadieh, B. and Krakauer, N. Y.: Global change in streamflow extremes under
climate change over the 21st century, Hydrol. Earth Syst. Sci., 21,
5863–5874, https://doi.org/10.5194/hess-21-5863-2017, 2017.
Asner, G. P., Scurlock, J. M. O., and Hicke, J. A.: Global synthesis of leaf area
index observations: implications for ecological and remote sensing studies,
Global Ecol. Biogeogr., 12, 191–205, 2003.
Barazzuoli, P. and Rigati, R.: studio per la definizione del bilancio
idrogeologico del bacino del fiume Magra, available at:
http://www.adbmagra.it/Pdf/UNISI_Bil_Idr_Magra_Rel_Fin.pdf (last
access: 2 March 2017) Università degli studi di
Siena, 2004.
Bastola, S. and Misra, V.: Evaluation of dynamically downscaled reanalysis
precipitation data for hydrological application, Hydrol.
Process., 28, 1989–2002, https://doi.org/10.1002/hyp.9734, 2014.
Bauer, S.: A modified Horton equation during intermittent rainfall, Hydrol.
Sci. Bull., 19, 219–229, 1974.
Boni, G., Ferraris, L., Giannoni, F., Roth, G., and Rudari, R.: Flood probability
analysis for un-gauged watersheds by means of a simple distributed hydrologic
model, Adv. Water Resour., 30, 2135–2144,
https://doi.org/10.1016/j.advwatres.2006.08.009, 2007.
Boni, G., Parodi, A., and Siccardi, F.: A new parsimonious methodology of mapping
the spatial variability of annual maximum rainfall in mountainous
environments, J. Hydrometeorol., 9, 492–506, 2008.
Buzzi, A., Davolio, S., Malguzzi, P., Drofa, O., and Mastrangelo, D.: Heavy
rainfall episodes over Liguria in autumn 2011: numerical forecasting
experiments, Nat. Hazards Earth Syst. Sci., 14, 1325–1340,
https://doi.org/10.5194/nhess-14-1325-2014, 2014.
Calanca, P., Roesch, A., Jasper, K., and Wild, M.: Global warming and the
summertime evapotranspiration regime of the Alpine region, Clim. Change,
79, 65–78. 2006.
Caparrini, F., Castelli F., and Entekhabi, D.: Estimation of surface
turbulent fluxes through assimilation of radiometric surface temperature
sequences, J. Hydrometeorol., 5, 145–159, 2004.
Cassola, F., Ferrari, F., Mazzino, A., and Miglietta, M. M.: The role of the
sea on the flash floods events over Liguria (northwestern Italy), Geophys.
Res. Lett., 43, 3534–3542, 2016.
Cenci, L., Laiolo, P., Gabellani, S., Campo, L., Silvestro, F., Delogu, F.,
Boni, G., and Rudari, R.: Assimilation of H-SAF Soil Moisture Products for
Flash Flood Early Warning Systems, Case Study: Mediterranean Catchments, IEEE
J. Sel. Top. Appl., 9, 5634–5646, https://doi.org/10.1109/JSTARS.2016.2598475, 2016.
Choi, W., Kim, S. J., Rasmussen, P. F., and Moore, A. R.: Use of the North American Regional Reanalysis for hydrological
modelling in Manitoba, Can. Water Resour. J., 34, 17–36, 2009.
CIMA Foundation: Improvement of the Global Flood model for the GAR 2015,
Input Paper prepared for the Global Assessment Report on Disaster Risk
Reduction 2015, available at:
https://www.unisdr.org/we/inform/publications/49737 (last access:
2 November 2017), 2015.
Davolio, S., Silvestro, F., and Gastaldo, T.: Impact of rainfall assimilation
on high-resolution hydro-meteorological forecasts over Liguria (Italy), J.
Hydrometeor., 18, 2659–2680, https://doi.org/10.1175/JHM-D-17-0073.1, 2017.
De Michele, C. and Rosso, R.: A multi-level approach to flood frequency
regionalisation, Hydrol. Earth Syst. Sci., 6, 185–194,
https://doi.org/10.5194/hess-6-185-2002, 2002.
Dickinson, R.: The force-restore method for surface temperature and its
generalization, J. Climate, 1, 1086–1097, 1988.
Diskin, M. H. and Nazimov, N.: Linear reservoir with feedback regulated inlet
as a model for the infiltration process, J. Hydrol., 172, 313–330, 1994.
Döll, P. and Müller, S.: How is the impact of climate change on river
flow regimes related to the impact on mean annual runoff? A global-scale
analysi, Environ. Res. Lett., 7, 1–11, 2012.
Fang, G. H., Yang, J., Chen, Y. N., and Zammit, C.: Comparing bias correction
methods in downscaling meteorological variables for a hydrologic impact study
in an arid area in China, Hydrol. Earth Syst. Sci., 19, 2547–2559,
https://doi.org/10.5194/hess-19-2547-2015, 2015.
Fu, G., Charles, S. P., Viney, N. R., Chen, S. L., and Wu, J. Q.: Impacts of
climate variability on stream-flow in Yellow River, Hydrol. Process., 21,
3431–3439, 2007.
Gabellani, S., Silvestro, F., Rudari, R., and Boni, G.: General calibration
methodology for a combined Horton-SCS infiltration scheme in flash flood
modeling, Nat. Hazards Earth Syst. Sci., 8, 1317–1327,
https://doi.org/10.5194/nhess-8-1317-2008, 2008.
Giannoni, F., Roth., G., and Rudari, R.: A Semi – Distributed Rainfall –
Runoff Model Based on a Geomorphologic Approach, Phys. Chem. Earth, 25, 665–671, 2000.
Giannoni, F., Roth, G., and Rudari, R.: A procedure for drainage network
identification from geomorphology and its application to the prediction of
the hydrologic response, Adv. Water Resour., 28, 567–581,
https://doi.org/10.1016/j.advwatres.2004.11.013, 2005.
Giorgi, F., Jones, C., and Asrar, G. R.: Addressing climate information needs
at the regional level: the CORDEX framework, World Meteorological
Organization (WMO) Bulletin, 58, 175, 2009.
Hosking, J. R. M. and Wallis, J. R.: Some statistics useful in regional frequency
analysis, Water Resour. Res., 29, 271–281, 1993.
Isotta, F. A., Frei, C., Weilguni, V., Percec Tadic, M., Lassègues, P.,
Rudolf, B., Pavan, V., Cacciamani, C., Antolini, G., Ratto, S. M., Munari,
M., Micheletti, S., Bonati, V., Lussana, C., Ronchi, C., Panettieri, E.,
Marigo, G., and Vertacnik, G.: The climate of daily precipitation in the
Alps: Development and analysis of a highresolution grid dataset from
pan-Alpine rain-gauge data, Int. J. Climatol., 34, 1657–1675,
https://doi.org/10.1002/joc.3794, 2013.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M.,
Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin,
G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer,
V.: Regional climate modeling on European scales: a joint standard evaluation
of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333,
https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Kottegoda, N. T. and Rosso, R.: Statistics, Probability, and Reliability for
Civil and Environmental Engineers, McGraw-Hill Companies, New York, 1997.
Krogh, S., Pomeroy, J. W., and Mcphee, J. P.: Physically based mountain
hydrological modeling using reanalysis data in patagonia, J. Hydrometeorol.,
16, 172–193, 2015.
Laiolo, P., Gabellani, S., Rebora, N., Rudari, R., Ferraris, L., Ratto, S.,
Stevenin, H., and Cauduro, M.: Validation of the Flood-PROOFS probabilistic
forecasting system, Hydrol. Process., 28, 3466–3481, https://doi.org/10.1002/hyp.9888,
2014.
Liu, Y. and Gupta, H. V.: Uncertainty in hydrologic modeling: Toward an
integrated data assimilation framework, Water Resour. Res., 43, W07401, https://doi.org/10.1029/2006WR005756, 2007.
Madsen, H.: Automatic calibration of a conceptual rainfall–runoff model
using multiple objectives, J. Hydrol., 235, 276–288, 2000.
Maidment, D.: Handbook of Hydrology, McGraw-Hill, Inc, New York, 1992.
Marta-Almeida, M., Teixeira, J. C., Carvalho, M. J., Melo-Gonçalves, P.,
and Rocha, A. M.: High resolution WRF climatic simulations for the Iberian
Peninsula: model validation, Phys. Chem. Earth Parts A/B/C, 94, 94–105, 2016.
Nkiaka, E., Nawaz, N. R., and Lovett, J. C.: Evaluating Global Reanalysis
Datasets as Input for Hydrological Modelling in the Sudano-Sahel Region,
Hydrology, 4, 1–19, 2017.
Nash, J. E. and Sutcliffe, J. V.: River flood forecasting through conceptual
models I: a discussion of principles, J. Hydrol., 10, 282–290, 1970.
Pieri, A. B., von Hardenberg, J., Parodi, A., and Provenzale, A.: Sensitivity
of Precipitation Statistics to Resolution, Microphysics, and Convective
Parameterization: A Case Study with the High-Resolution WRF Climate Model
over Europe, J. Hydrometeorol., 16, 1857–1872, 2015.
Piras, M., Mascar, G., Deidda, R., and Vivoni, E. R.: Impacts of climate
change on precipitation and discharge extremes through the use of statistical
downscaling approaches in a Mediterranean basin, Sci. Total Environ., 543, 952–964, https://doi.org/10.1016/j.scitotenv.2015.06.088, 2015.
Pontoppidan, M., Reuder, J., Mayer, S., and Kolstad, E. W.: Downscaling an
intense precipitation event in complex terrain: the importance of high grid
resolution, Tellus A, 1271561, https://doi.org/10.1080/16000870.2016.1271561, 2017.
Provincia di Imperia: Piano di bacino stralcio sul bacino idrico del torrente
Arroscia, available at:
http://pianidibacino.provincia.imperia.it/Portals/_pianidibacino/Documents/Cap
_4.pdf, last access: 2 March 2017.
Provincial Authority of Genoa: River basin planning of the Bisagno creek,
available at: http://cartogis.provincia.genova.it/cartogis/pdb/bisagno
(last access: 4 April 2007), 2001.
Rebora, N., Ferraris, L., von Hardenberg, J., and Provenzale, A.: Rainfall
downscaling and flood forecasting: a case study in the Mediterranean area,
Nat. Hazards Earth Syst. Sci., 6, 611–619,
https://doi.org/10.5194/nhess-6-611-2006, 2006a.
Rebora, N., Ferraris, L., Hardenberg, J. H., and Provenzale, A.: The
RainFARM: Rainfall Downscaling by a Filtered Auto Regressive Model, J.
Hydrometeorol., 7, 724–738, 2006b.
Rebora, N., Molini, L., Casella, E., Comellas, A., Fiori, E., Pignone, F.,
Siccardi, F., Silvestro, F., Tanelli, S., and Parodi, A.: Extreme Rainfall in
the Mediterranean: What Can We Learn from Observations?, J. Hydrometeorol.,
14, 906–922, 2013.
Regione Marche: Regionalizzazione delle portate massime annuali al colmo di
piena per la stima dei tempi di ritorno delle grandezze idrologiche,
available at:
http://www.regione.marche.it/Regione-Utile/Protezione-Civile/Progetti-e-Pubblicazioni/Studi-Meteo-Idro#Studi-Idrologici-e-Idraulici
(last access: 19 October 2017), 2016.
Rossi, F., Fiorentino, M., and Versace, P.: Two component extreme value
distribution for flood frequency analysis, Water Resour Res., 20, 847–856,
1984.
Schwitalla, T., Bauer, H.-S., Wulfmeyer, V., and Warrach-Sagi, K.: Continuous
high-resolution midlatitude-belt simulations for July–August 2013 with WRF,
Geosci. Model Dev., 10, 2031–2055, https://doi.org/10.5194/gmd-10-2031-2017,
2017.
Siccardi, F., Boni, G., Ferraris, L., and Rudari, R.: A hydro-meteorological
approach for probabilistic flood forecast, J. Geophys. Res, 110, D05101,
https://doi.org/10.1029/2004jd005314, 2005.
Silvestro, F. and Rebora, N.: Impact of precipitation forecast uncertainties
and initial soil moisture conditions on a probabilistic flood forecasting
chain, J. Hydrol., 519, 1052–1067, 2014.
Silvestro, F., Rebora, N., and Ferraris, L.: Quantitative flood forecasting
on small and medium size basins: a probabilistic approach for operational
purposes, J. Hydrometeorol., 12, 1432–1446, 2011.
Silvestro, F., Gabellani, S., Giannoni, F., Parodi, A., Rebora, N., Rudari,
R., and Siccardi, F.: A hydrological analysis of the 4 November 2011 event in
Genoa, Nat. Hazards Earth Syst. Sci., 12, 2743–2752,
https://doi.org/10.5194/nhess-12-2743-2012, 2012.
Silvestro, F., Gabellani, S., Delogu, F., Rudari, R., and Boni, G.:
Exploiting remote sensing land surface temperature in distributed
hydrological modelling: the example of the Continuum model, Hydrol. Earth
Syst. Sci., 17, 39–62, https://doi.org/10.5194/hess-17-39-2013, 2013.
Silvestro, F., Gabellani, S., Rudari, R., Delogu, F., Laiolo, P., and Boni,
G.: Uncertainty reduction and parameter estimation of a distributed
hydrological model with ground and remote-sensing data, Hydrol. Earth Syst.
Sci., 19, 1727–1751, https://doi.org/10.5194/hess-19-1727-2015, 2015.
Silvestro, F., Rebora, N., Giannoni, F., Cavallo, A., and Ferraris, L.: The
flash flood of the Bisagno Creek on 9th October 2014: an “unfortunate”
combination of spatial and temporal scales, J. Hydrol., 541, 50–62,
https://doi.org/10.1016/j.jhydrol.2015.08.004, 2016.
Todini, E. and Ciarapica, L.: The TOPKAPI model, in: Mathematical models of
largewatershed hydrology, edited by: Singh V. P., Chap. 12, Water Resources
Publications, Highlands Ranch, 2001.
von Hardenberg, J., Parodi, A., Pieri, A. B., and Provenzale, A.: Impact of
Microphysics and Convective Parameterizations on Dynamical Downscaling for
the European Domain, in: Engineering Geology for Society and Territory,
edited by: Lollino, G., Manconi, A., Clague, J., Shan, W., and Chiarle, M., Springer International
Publishing, Vol. 1, 209–213, 2015.
von Hardenberg, J. and Parodi, A.: EXPRESS-Hydro data set, available at:
http://nextdataproject.hpc.cineca.it/thredds/catalog/NextData/eurocdx/h1e4/catalog.html,
last access: 3 July 2017.
Walker, W. E., Harremoes, P., Rotmans, J., Van der Sluijs, J. P., Van Asselt,
M. B. A, Janssen, P., and Krayer von Kraus, M. P.: Defining Uncertainty: A
Conceptual Basis for Uncertainty Management in Model-Based Decision Support,
Integrated Assessment, https://doi.org/10.1076/iaij.4.1.5.16466, 2003.
Wooding, R. A.: A hydraulic modeling of the catchment-stream problem. 1.
Kinematic wave theory, J. Hydrol., 3, 254–267, 1965.
Yang, D., Herath S., and Musiake K.: Spatial resolution sensitivity of
catchment geomorphologic properties and the effect on hydrological
simulation, Hydrol. Process., 15, 2085–2099, https://doi.org/10.1002/hyp.280, 2001.
Short summary
In this work we adopted a high-resolution meteorological reanalysis dataset together with a rainfall downscaling algorithm and a rainfall bias correction technique in order to produce input for a hydrological model; the resulting modeling chain allows the production of long time series of distributed hydrological variables in the Liguria region of Italy, located in the northern part of Italy. The aim is to evaluate how such a kind of modeling chain is able to reproduce the hydrology in an area.
In this work we adopted a high-resolution meteorological reanalysis dataset together with a...
