Articles | Volume 28, issue 1
https://doi.org/10.5194/hess-28-241-2024
© Author(s) 2024. 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-28-241-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Jan 2024
Research article |
| 17 Jan 2024
| 17 Jan 2024
Hydroclimatic processes as the primary drivers of the Early Khvalynian transgression of the Caspian Sea: new developments
Alexander Gelfan
CORRESPONDING AUTHOR
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
Andrey Panin
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
Andrey Kalugin
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Polina Morozova
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
Vladimir Semenov
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Moscow, Russia
Alexey Sidorchuk
Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
Vadim Ukraintsev
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Institute of Geography, Russian Academy of Sciences, Moscow, Russia
Konstantin Ushakov
Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia
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A. N. Gelfan, Yu. G. Motovilov, and V. M. Moreido
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The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020, https://doi.org/10.5194/tc-14-4687-2020, 2020
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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
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A. Gelfan, V. A. Semenov, E. Gusev, Y. Motovilov, O. Nasonova, I. Krylenko, and E. Kovalev
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Y. Motovilov, V. Danilov-Danilyan, E. Dod, and A. Kalugin
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Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
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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
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Key ingredients in regional climate modeling for improving the representation of typhoon tracks and intensities
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
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
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
Flood risk assessment for Indian sub-continental river basins
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
Divergent future drought projections in UK river flows and groundwater levels
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
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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
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Modelling evaporation with local, regional and global BROOK90 frameworks: importance of parameterization and forcing
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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.
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-222, https://doi.org/10.5194/hess-2023-222, 2023
Revised manuscript accepted for HESS
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Tropical cyclones (TCs) often cause high economical 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 setup 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 modeling, from which the cities' disaster management and defense could benefit.
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-226, https://doi.org/10.5194/hess-2023-226, 2023
Revised manuscript accepted for HESS
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We present a new physical-based method for estimating extreme sub-hourly precipitation return levels, which are critical for the estimation of future floods. The proposed model, named TEmperature-dependent Non-Asymptotic statistical model for eXtreme return levels (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 is available.
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.
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-73, https://doi.org/10.5194/hess-2023-73, 2023
Revised manuscript under review for HESS
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Large population is affected by floods during almost every summer monsoon season in India, leaving its footprint through human mortality, migration, and damage to agriculture and infrastructure. Despite the massive imprints of floods, sub-basin level flood risk assessment is still in its infancy and needs to be improved. Using hydrological and hydrodynamical models, we reconstructed sub-basin level observed floods for the 1901–2020 period.
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.
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-59, https://doi.org/10.5194/hess-2023-59, 2023
Revised manuscript accepted for HESS
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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 and below ground water.
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.
Hanieh Seyedhashemi, Jean-Philippe Vidal, Jacob S. Diamond, Dominique Thiéry, Céline Monteil, Frédéric Hendrickx, Anthony Maire, and Florentina Moatar
Hydrol. Earth Syst. Sci., 26, 2583–2603, https://doi.org/10.5194/hess-26-2583-2022, https://doi.org/10.5194/hess-26-2583-2022, 2022
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Stream temperature appears to be increasing globally, but its rate remains poorly constrained due to a paucity of long-term data. Using a thermal model, this study provides a large-scale understanding of the evolution of stream temperature over a long period (1963–2019). This research highlights that air temperature and streamflow can exert joint influence on stream temperature trends, and riparian shading in small mountainous streams may mitigate warming in stream temperatures.
Shakirudeen Lawal, Stephen Sitch, Danica Lombardozzi, Julia E. M. S. Nabel, Hao-Wei Wey, Pierre Friedlingstein, Hanqin Tian, and Bruce Hewitson
Hydrol. Earth Syst. Sci., 26, 2045–2071, https://doi.org/10.5194/hess-26-2045-2022, https://doi.org/10.5194/hess-26-2045-2022, 2022
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To investigate the impacts of drought on vegetation, which few studies have done due to various limitations, we used the leaf area index as proxy and dynamic global vegetation models (DGVMs) to simulate drought impacts because the models use observationally derived climate. We found that the semi-desert biome responds strongly to drought in the summer season, while the tropical forest biome shows a weak response. This study could help target areas to improve drought monitoring and simulation.
Yubo Liu, Monica Garcia, Chi Zhang, and Qiuhong Tang
Hydrol. Earth Syst. Sci., 26, 1925–1936, https://doi.org/10.5194/hess-26-1925-2022, https://doi.org/10.5194/hess-26-1925-2022, 2022
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Our findings indicate that the reduction in contribution to the Iberian Peninsula (IP) summer precipitation is mainly concentrated in the IP and its neighboring grids. Compared with 1980–1997, both local recycling and external moisture were reduced during 1998–2019. The reduction in local recycling in the IP closely links to the disappearance of the wet years and the decreasing contribution in the dry years.
Nejc Bezak, Pasquale Borrelli, and Panos Panagos
Hydrol. Earth Syst. Sci., 26, 1907–1924, https://doi.org/10.5194/hess-26-1907-2022, https://doi.org/10.5194/hess-26-1907-2022, 2022
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Rainfall erosivity is one of the main factors in soil erosion. A satellite-based global map of rainfall erosivity was constructed using data with a 30 min time interval. It was shown that the satellite-based precipitation products are an interesting option for estimating rainfall erosivity, especially in regions with limited ground data. However, ground-based high-frequency precipitation measurements are (still) essential for accurate estimates of rainfall erosivity.
Xueli Yang, Zhi-Hua Wang, and Chenghao Wang
Hydrol. Earth Syst. Sci., 26, 1845–1856, https://doi.org/10.5194/hess-26-1845-2022, https://doi.org/10.5194/hess-26-1845-2022, 2022
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In this study, we investigated potentially catastrophic transitions in hydrological processes by identifying the early-warning signals which manifest as a
critical slowing downin complex dynamic systems. We then analyzed the precipitation network of cities in the contiguous United States and found that key network parameters, such as the nodal density and the clustering coefficient, exhibit similar dynamic behaviour, which can serve as novel early-warning signals for the hydrological system.
Zhuoyi Tu, Yuting Yang, and Michael L. Roderick
Hydrol. Earth Syst. Sci., 26, 1745–1754, https://doi.org/10.5194/hess-26-1745-2022, https://doi.org/10.5194/hess-26-1745-2022, 2022
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Here we test a maximum evaporation theory that acknowledges the interdependence between radiation, surface temperature, and evaporation over saturated land. We show that the maximum evaporation approach recovers observed evaporation and surface temperature under non-water-limited conditions across a broad range of bio-climates. The implication is that the maximum evaporation concept can be used to predict potential evaporation that has long been a major difficulty for the hydrological community.
Paola Mazzoglio, Ilaria Butera, Massimiliano Alvioli, and Pierluigi Claps
Hydrol. Earth Syst. Sci., 26, 1659–1672, https://doi.org/10.5194/hess-26-1659-2022, https://doi.org/10.5194/hess-26-1659-2022, 2022
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We have analyzed the spatial dependence of rainfall extremes upon elevation and morphology in Italy. Regression analyses show that previous rainfall–elevation relations at national scale can be substantially improved with new data, both using topography attributes and constraining the analysis within areas stemming from geomorphological zonation. Short-duration mean rainfall depths can then be estimated, all over Italy, using different parameters in each area of the geomorphological subdivision.
Mina Faghih, François Brissette, and Parham Sabeti
Hydrol. Earth Syst. Sci., 26, 1545–1563, https://doi.org/10.5194/hess-26-1545-2022, https://doi.org/10.5194/hess-26-1545-2022, 2022
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The diurnal cycles of precipitation and temperature generated by climate models are biased. This work investigates whether or not impact modellers should correct the diurnal cycle biases prior to conducting hydrological impact studies at the sub-daily scale. The results show that more accurate streamflows are obtained when the diurnal cycles biases are corrected. This is noticeable for smaller catchments, which have a quicker reaction time to changes in precipitation and temperature.
Edwin P. Maurer, Iris T. Stewart, Kenneth Joseph, and Hugo G. Hidalgo
Hydrol. Earth Syst. Sci., 26, 1425–1437, https://doi.org/10.5194/hess-26-1425-2022, https://doi.org/10.5194/hess-26-1425-2022, 2022
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The mid-summer drought (MSD) is common in Mesoamerica. It is a short (weeks-long) period of reduced rainfall near the middle of the rainy season. When it occurs, how long it lasts, and how dry it is all have important implications for smallholder farmers. Studies of changes in MSD characteristics rely on defining characteristics of an MSD. Different definitions affect whether an area would be considered to experience an MSD as well as the changes that have happened in the last 40 years.
Qichun Yang, Quan J. Wang, Andrew W. Western, Wenyan Wu, Yawen Shao, and Kirsti Hakala
Hydrol. Earth Syst. Sci., 26, 941–954, https://doi.org/10.5194/hess-26-941-2022, https://doi.org/10.5194/hess-26-941-2022, 2022
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Forecasts of evaporative water loss in the future are highly valuable for water resource management. These forecasts are often produced using the outputs of climate models. We developed an innovative method to correct errors in these forecasts, particularly the errors caused by deficiencies of climate models in modeling the changing climate. We apply this method to seasonal forecasts of evaporative water loss across Australia and achieve significant improvements in the forecast quality.
Brahima Koné, Arona Diedhiou, Adama Diawara, Sandrine Anquetin, N'datchoh Evelyne Touré, Adama Bamba, and Arsene Toka Kobea
Hydrol. Earth Syst. Sci., 26, 711–730, https://doi.org/10.5194/hess-26-711-2022, https://doi.org/10.5194/hess-26-711-2022, 2022
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The impact of initial soil moisture anomalies can persist for up to 3–4 months and is greater on temperature than on precipitation over West Africa. The strongest homogeneous impact on temperature is located over the Central Sahel, with a peak change of −1.5 and 0.5 °C in the wet and dry experiments, respectively. The strongest impact on precipitation in the wet and dry experiments is found over the West and Central Sahel, with a peak change of about 40 % and −8 %, respectively.
Brahima Koné, Arona Diedhiou, Adama Diawara, Sandrine Anquetin, N'datchoh Evelyne Touré, Adama Bamba, and Arsene Toka Kobea
Hydrol. Earth Syst. Sci., 26, 731–754, https://doi.org/10.5194/hess-26-731-2022, https://doi.org/10.5194/hess-26-731-2022, 2022
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The impact of initial soil moisture is more significant on temperature extremes than on precipitation extremes. A stronger impact is found on maximum temperature than on minimum temperature. The impact on extreme precipitation indices is homogeneous, especially over the Central Sahel, and dry (wet) experiments tend to decrease (increase) the number of precipitation extreme events but not their intensity.
Josias Láng-Ritter, Marc Berenguer, Francesco Dottori, Milan Kalas, and Daniel Sempere-Torres
Hydrol. Earth Syst. Sci., 26, 689–709, https://doi.org/10.5194/hess-26-689-2022, https://doi.org/10.5194/hess-26-689-2022, 2022
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During flood events, emergency managers such as civil protection authorities rely on flood forecasts to make informed decisions. In the current practice, they monitor several separate forecasts, each one of them covering a different type of flooding. This can be time-consuming and confusing, ultimately compromising the effectiveness of the emergency response. This work illustrates how the automatic combination of flood type-specific impact forecasts can improve decision support systems.
Cited articles
Arpe, K. and Leroy, S. A.: The Caspian Sea Level forced by the atmospheric circulation, as observed and modelled, Quatern. Int., 173, 144–152, https://doi.org/10.1016/j.quaint.2007.03.008, 2007.
Arpe, K., Leroy, S. A. G., Lahijani, H., and Khan, V.: Impact of the European Russia drought in 2010 on the Caspian Sea level, Hydrol. Earth Syst. Sci., 16, 19–27, https://doi.org/10.5194/hess-16-19-2012, 2012.
Arpe, K., Tsuang, B. J., Tseng, Y. H., Liu, X. Y., and Leroy, S. A.: Quantification of climatic feedbacks on the Caspian Sea level variability and impacts from the Caspian Sea on the large-scale atmospheric circulation, Theor. Appl. Climatol., 136, 475–488, https://doi.org/10.1007/s00704-018-2481-x, 2019.
Arslanov, K. A., Yanina, T. A., Chepalyga, A. L., Svitoch, A. A., Makshaev, R. R., Maksimov, F. E., Chernov, S. B., Tertychniy, N. I., and Starikova, A. A.: On the age of the Khvalynian deposits of the Caspian Sea coast according to 14C and
Borisova, O., Sidorchuk, A., and Panin, A.: Palaeohydrology of the Seim River basin, Mid-Russian Upland, based on palaeochannel morphology and palynological data, Catena, 66, 53–73, https://doi.org/10.1016/j.catena.2005.07.010, 2006.
Borisova, O. K.: Landscape and Climatic Conditions in the Central East European Plain in the last 22 thousand Years: Reconstruction based on Paleobotanical Data, Water Resour., 48, 886–896, https://doi.org/10.1134/S0097807821060038, 2021.
Borisova, O., Konstantinov, E., Utkina, A., Baranov, D., and Panin, A.: On the existence of a large proglacial lake in the Rostov-Kostroma lowland, north-central European Russia, J. Quaternary Sci., 37, 1442–1459, https://doi.org/10.1002/jqs.3454, 2022.
Brierley, C. M., Zhao, A., Harrison, S. P., Braconnot, P., Williams, C. J. R., Thornalley, D. J. R., Shi, X., Peterschmitt, J.-Y., Ohgaito, R., Kaufman, D. S., Kageyama, M., Hargreaves, J. C., Erb, M. P., Emile-Geay, J., D'Agostino, R., Chandan, D., Carré, M., Bartlein, P. J., Zheng, W., Zhang, Z., Zhang, Q., Yang, H., Volodin, E. M., Tomas, R. A., Routson, C., Peltier, W. R., Otto-Bliesner, B., Morozova, P. A., McKay, N. P., Lohmann, G., Legrande, A. N., Guo, C., Cao, J., Brady, E., Annan, J. D., and Abe-Ouchi, A.: Large-scale features and evaluation of the PMIP4-CMIP6 midHolocene simulations, Clim. Past, 16, 1847–1872, https://doi.org/10.5194/cp-16-1847-2020, 2020.
Bronk Ramsey, C.: Bayesian analysis of radiocarbon dates, Radiocarbon, 51, 337–360, https://doi.org/10.1017/S0033822200033865, 2009.
Butuzova, E. A., Kurbanov, R. N., Taratunina, N. A., Makeev, A. O., Rusakov, A. V., Lebedeva, M. P., Murray, A. S., and Yanina, T. A.: Shedding light on the timing of the largest Late Quaternary transgression of the Caspian Sea, Quat. Geochronol., 73, 101378, https://doi.org/10.1016/j.quageo.2022.101378, 2022.
Chen, J. L., Pekker, T., Wilson, C. R., Tapley, B. D., Kostianoy, A. G., Cretaux, J. F., and Safarov, E. S.: Long-term Caspian Sea level change, Geophys. Res. Lett., 44, 6993–7001, https://doi.org/10.1002/2017GL073958, 2017.
Chepalyga, A. L.: Late glacial great flood in the Ponto-Caspian basin, in: The Black Sea Flood Question: Changes in Coastline, Climate, and Human Settlement, edited by: Yanko-Hombach, V., Gilbert, A. S., Panin, N., and Dolukhanov, P. M., Springer, Dordrecht, 119–148, https://doi.org/10.1007/978-1-4020-5302-3_6, 2007.
Fadeev, R., Ushakov, K., Tolstykh, M., and Ibrayev, R.: Design and development of the SLAV-INMIO-CICE coupled model for seasonal prediction and climate research, Rus. J. Numer. Anal. Math. Mod., 33, 333–340, https://doi.org/10.1515/rnam-2018-0028, 2018.
Fedorov, P. V.: Stratigraphy of Quaternary sediments and the history of the development of the Caspian Sea, Proceedings of the Geological Institute of the Academy of Science of the USSR, 2, 1–308, 1957 (in Russian).
Fedorov, P. V. (Ed.): Pleistocene of the Ponto-Caspian, Nauka Press, Moscow, 165 pp., https://www.geokniga.org/books/27062 (last access: 5 January 2024), 1978 (in Russian).
Forte, A. M. and Cowgill, E.: Late Cenozoic base-level variations of the Caspian Sea: a review of its history and proposed driving mechanisms, Palaeogeogr. Palaeocl., 386, 392–407, https://doi.org/10.1016/j.palaeo.2013.05.035, 2013.
Frolov A. V. (Ed.): Modeling of long-term fluctuations of the Caspian Sea level: theory and applications, GEOS Publ., Moscow, 174 pp., ISBN 5-89118-298-X, 2003 (in Russian).
Frolov, A. V.: Dynamic-Stochastic Modeling of the Paleo-Caspian Sea Long-Term Level Variations (14–4 Thousand Years BC), Water Resour., 48, 854–863, https://doi.org/10.1134/S0097807821060051, 2021.
Gelfan, A., Gustafsson, D., Motovilov, Y., Arheimer, B., Kalugin, A., Krylenko, I., and Lavrenov, A.: Climate change impact on the water regime of two great Arctic rivers: Modeling and uncertainty issues, Clim. Chang., 141, 499–515, https://doi.org/10.1007/s10584-016-1710-5, 2017.
Gelfan, A. N. and Kalugin, A. S.: Permafrost in the Caspian Basin as a Possible Trigger of the Late Khvalynian Transgression: Testing Hypothesis Using a Hydrological Model, Water Resour., 48, 831–843, https://doi.org/10.1134/S0097807821060063, 2021.
Golitsyn, G. S., Ratkovich, D. Ya., Fortus, M. I., and Frolov, A. V.: On the present_day rise in the Caspian Sea level, Water Resour., 25, 117–122, 1998.
Grosswald, M. G.: Late Weichselian ice sheet of Northern Eurasia, Quat. Res., 13, 1–32, https://doi.org/10.1016/0033-5894(80)90080-0, 1980.
Hunke, E. C., Lipscomb, W. H., Turner, A. K., Jeffery, N., and Elliott, S.: CICE: the Los Alamos Sea Ice Model Documentation and Software User's Manual Version 5.1, Los Alamos National Laboratory, https://svn-ccsm-models.cgd.ucar.edu/cesm1/alphas/branches/cesm1_5_alpha04c_timers/components/cice/src/doc/cicedoc.pdf, (last access date: 8 January 2024), 2015.
Ibrayev, R. A., Khabeev, R. N., and Ushakov, K. V.: Eddy-resolving
Kageyama, M., Harrison, S. P., Kapsch, M.-L., Lofverstrom, M., Lora, J. M., Mikolajewicz, U., Sherriff-Tadano, S., Vadsaria, T., Abe-Ouchi, A., Bouttes, N., Chandan, D., Gregoire, L. J., Ivanovic, R. F., Izumi, K., LeGrande, A. N., Lhardy, F., Lohmann, G., Morozova, P. A., Ohgaito, R., Paul, A., Peltier, W. R., Poulsen, C. J., Quiquet, A., Roche, D. M., Shi, X., Tierney, J. E., Valdes, P. J., Volodin, E., and Zhu, J.: The PMIP4 Last Glacial Maximum experiments: preliminary results and comparison with the PMIP3 simulations, Clim. Past, 17, 1065–1089, https://doi.org/10.5194/cp-17-1065-2021, 2021.
Kakroodi, A. A., Kroonenberg, S. B., Hoogendoorn, R. M., Mohammadkhani, H., Yamani, M., Ghassemi, M. R., and Lahijani, H. A. K.: Rapid Holocene sea-level changes along the Iranian Caspian coast, Quatern. Int., 263, 93–103, https://doi.org/10.1016/j.quaint.2011.12.021, 2012.
Kalinin, G. P., Markov, K. K., and Suetova, I. A.: Fluctuations in the level of the Earth's water bodies in the geological past. Part I, Oceanology, 6, 737–746, 1966 (in Russian).
Kalmykov, V. V., Ibrayev, R. A., Kaurkin, M. N., and Ushakov, K. V.: Compact Modeling Framework v3.0 for high-resolution global ocean–ice–atmosphere models, Geosci. Model Dev., 11, 3983–3997, https://doi.org/10.5194/gmd-11-3983-2018, 2018.
Kalnitskii, L. Y., Kaurkin, M. N., Ushakov, K. V., and Ibrayev, R. A.: Seasonal Variability of Water and Sea-Ice Circulation in the Arctic Ocean in a High-Resolution Model, Izv. Atmos. Ocean. Phys., 56, 522–533, https://doi.org/10.1134/S0001433820050060, 2020.
Kalugin, A.: Hydrological and meteorological variability in the Volga River basin under global warming by 1.5 and 2 degrees, Climate, 10, 107, https://doi.org/10.3390/cli10070107, 2022.
Kaplin, P. A., Leontiev, O. K., Parunin, O. B., Rychagov, G. I., and Svitoch, A. A.: On the time of Khvalyn transgressions of the Caspian Sea (according to radiocarbon analyses of mollusk shells), Doklady Acad. Nauk SSSR, 206, 735–740, 1972 (in Russian).
Kaplin, P. A., Parunin, O. B., Svitoch, A. A., Faustov, S. S., and Shlyukov, A. I.: Some results of studying Pleistocene sediments by methods of nuclear chronology and palaeomagnetism, in: Noveyshaya tektonika, noveyshiye otlozheniya i chelovek, Vol. 4, edited by: Kaplin, P. A., MSU Press, Moscow, 156–163, https://www.geokniga.org/books/23950 (last access: 5 January 2024), 1973 (in Russian).
Kapsch, M.-L., Mikolajewicz, U., Ziemen, F., and Schannwell, C.: Ocean response in transient simulations of the last deglaciation dominated by underlying ice-sheet reconstruction and method of meltwater distribution, Geophys. Res. Lett., 49, e2021GL096767, https://doi.org/10.1029/2021GL096767, 2022.
Kislov, A. and Toropov, P.: East European River runoff and Black Sea and Caspian Sea level changes as simulated within the Paleoclimate Modeling Intercomparison Project, Quatern. Int., 167, 40–48, https://doi.org/10.1016/j.quaint.2006.10.005, 2007.
Kislov, A. V., Panin, A. V., and Toropov, P.: Current status and palaeostages of the Caspian Sea as a potential evaluation tool for climate model simulations, Quatern. Int., 345, 48–55, https://doi.org/10.1016/j.quaint.2014.05.014, 2014.
Koriche, S. A., Singarayer, J. S., Cloke, H. L., Valdes, P. J., Wesselingh, F. P., Kroonenberg, S. B., Wickert, A. D., and Yanina, T. A.: What are the drivers of Caspian Sea level variation during the late Quaternary?, Quaternary Sci. Rev., 283, 107457, https://doi.org/10.1016/j.quascirev.2022.107457, 2022.
Krijgsman, W., Tesakov, A., Yanina, T., Lazarev, S., Danukalova, G., Van Baak, C. G. C., Agustí, J., Alçiçek, M. C., Aliyeva, E., Bista, D., Bruch, A., Büyükmeriç, Y., Bukhsianidze, M., Flecker, R., Frolov, P., Hoyle, T. M., Jorissen, E. L., Kirscher, U., Koriche, S. A., Kroonenberg, S. B., Lordkipanidze, D., Oms, O., Rausch, L., Singarayer, J., Stoica, M., van de Velde, S., Titov, V. V., and Wesselingh, F. P.: Quaternary time scales for the Pontocaspian domain: interbasinal connectivity and faunal evolution., Earth-Sci. Rev., 188, 1–40, https://doi.org/10.1016/j.earscirev.2018.10.013, 2019.
Kroonenberg, S. B., Badyukova, E. N., Storms, J. E. A., Ignatov, E. I., and Kasimov, N. S.: A full sea level cycle in 65 years: barrier dynamics along Caspian shores, Sediment. Geol., 134, 257–274, https://doi.org/10.1016/S0037-0738(00)00048-8, 2000.
Kurbanov, R., Murray, A., Thompson, W., Svistunov, M., Taratunina, N., and Yanina, T.: First reliable chronology for the Early Khvalynian Caspian Sea transgression in the Lower Volga River valley, Boreas, 50, 134–146, https://doi.org/10.1111/bor.12478, 2021.
Kurbanov, R. N., Buylaert, J.-P., Stevens, T., Taratunina, N. A., Belyaev, V. R., Makeev, A. O., Lebedeva, M. P., Rusakov, A. V., Solodovnikov, D., Költringer, C., Rogov, V. V., Streletskay, I. D., Murray, A. S., and Yanina, T. A.: A detailed luminescence chronology of the Lower Volga loess-palaeosol sequence at Leninsk, Quat. Geochronol., 73, 101376, https://doi.org/10.1016/j.quageo.2022.101376, 2022.
Kurbanov, R. N., Belyaev, V. R., Svistunov, M. I., Butuzova, E. A., Solodovnikov, D. A., Taratunina, N. A., and Yanina, T. A.: New data on the age of the Early Khvalynian transgression of the Caspian Sea, Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 87, 403−-419, https://doi.org/10.31857/S2587556623030081, 2023 (in Russian).
Kvasov, D. D. (Ed.): The Late Quaternary history of large lakes and inland seas of Eastern Europe, Suomalainen tiedeakad., Helsinki, 71 pp., ISSN 1239632X, 1979.
Larsen, E., Kjar, K. H., Demidov, I., Funder, S., Grosfjeld, K., Houmark-Nielsen, M., Jensen, M., Linge, H., and Lysa, A.: Late Pleistocene glacial and lake history of northwestern Russia, Boreas, 35, 394–424, https://doi.org/10.1080/03009480600781958, 2006.
Leontiev, O. K., Rychagov, G. I., Kaplin, P. A., Svitoch, A. A., Parunin, O. B., and Shlyukov, A. I.: Chronology and palaeogeography of Ponto-Caspian (based on result of radiocarbon dating), Pleistocene Palaeogeography and Sediments of Southern Seas of the USSR, 26–38, https://www.geokniga.org/books/28639 (last access: 5 January 2024), 1977 (in Russian).
Loveland, T. R., Reed, B. C., Brown, J. F., Ohlen, D. O., Zhu, Z., Yang, L., and Merchant, J. W.: Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data, Int. J. Remote Sens., 21, 1303–1330, 2000.
Lyså, A., Jensen, M. A., Larsen, E., Fredin, O. L. A., and Demidov, I. N.: Ice-distal landscape and sediment signatures evidencing damming and drainage of large proglacial lakes, NW Russia, Boreas, 40, 481–497, https://doi.org/10.1111/j.1502-3885.2010.00197.x, 2011.
Makshaev, R. R.: Paleogeography of the Middle and Lower Volga Region during the Early Khvalynian Transgression of the Caspian Sea, Ph.D. thesis, Lomonosov Moscow State University, Moscow, 160 pp., https://istina.msu.ru/download/250565929/1rLjrq:njwG3FX41ADPaPUiywWnIwexlxs/ (last access: 5 January 2024), 2019 (in Russian).
Makshaev, R. R. and Svitoch, A. A.: Chocolate Clays of the northern Caspian Sea region: distribution, structure, and origin, Quatern. Int., 409, 44–49, https://doi.org/10.15356/0435-4281-2015-1-101-112, 2016.
Makshaev, R. R. and Tkach, N. T.: Chronology of Khvalynian stage of the Caspian Sea according to radiocarbon dating, Doklady Earth Sciences, 507, S51−-S60, https://doi.org/10.1134/S1028334X22601341, 2022.
Morozova P. A.: Influence of the Scandinavian Ice Sheet on the climate conditions of the East European Plain according to the numerical modeling data of the project PMIP II, Ice and Snow, 54, 113–124, https://doi.org/10.15356/2076-6734-2014-1-113-124, 2014 (in Russian).
Morozova P. A., Ushakov K. V., Semenov V. A., and Volodin E. M.: Water budget of the Caspian Sea in the Last Glacial Maximum by data of experiments with mathematical models, Water Resour., 48, 823–830, https://doi.org/10.1134/S0097807821060130, 2021.
Motovilov, Y.: Hydrological simulation of river basins at different spatial scales: 1. Generalization and averaging algorithms, Water Resour., 43, 429–437, https://doi.org/10.1134/S0097807816030118, 2016.
Motovilov, Y., Gottschalk, L., Engeland, K., and Rodhe, A.: Validation of a distributed hydrological model against spatial observations, Agr. Forest. Meteorol., 98–99, 257–277, https://doi.org/10.1016/S0168-1923(99)00102-1, 1999.
Naderi Beni, A., Lahijani, H., Mousavi Harami, R., Arpe, K., Leroy, S. A. G., Marriner, N., Berberian, M., Andrieu-Ponel, V., Djamali, M., Mahboubi, A., and Reimer, P. J.: Caspian sea-level changes during the last millennium: historical and geological evidence from the south Caspian Sea, Clim. Past, 9, 1645–1665, https://doi.org/10.5194/cp-9-1645-2013, 2013.
Panin, A., Adamiec, G., Buylaert, J.-P., Matlakhova, E., Moska, P., and Novenko, E.: Two Late Pleistocene climate-driven incision/aggradation rhythms in the middle Dnieper River basin, west-central Russian Plain, Quaternary Sci. Rev., 166, 266–288, https://doi.org/10.1016/j.quascirev.2016.12.002, 2017.
Panin, A. V. and Matlakhova, E. Y.: Fluvial chronology in the East European plain over the last 20 ka and its palaeohydrological implications, Catena, 130, 46–61, https://doi.org/10.1016/j.catena.2014.08.016, 2015.
Panin, A. V., Sidorchuk, A. Y., and Borisova, O. K.: Fluvial processes and river runoff in the Russian Plain in the end of the Late Valdai epoch, in: Geography Perspectives: to the 100th anniversary of K. K. Markov, Geogr. Dep. MSU, Moscow, 114–127, http://www.fluvial-systems.net/papers_rus/119.pdf (last access: 5 January 2024), 2005 (in Russian).
Panin, A. V., Sidorchuk, A. Y., and Vlasov, M. V.: High Late Valdai (Vistulian) runoff in the Don River basin, Izvestiya Rossiiskoi Akademii Nauk. Seriya Geograficheskaya, 1, 118–129, 2013 (in Russian).
Panin, A. V., Astakhov, V. I., Lotsari, E., Komatsu, G., Lang, J., and Winsemann, J.: Middle and Late Quaternary glacial lakeoutburst floods, drainage diversions and reorganization of fluvial systems in northwestern Eurasia, Earth-Sci. Rev., 201, 103069, https://doi.org/10.1016/j.earscirev.2019.103069, 2020.
Panin, A. V., Sidorchuk, A. Y., and Ukraintsev, V. Y.: The Contribution of Glacial Melt Water to Annual Runoff of River Volga in the Last Glacial Epoch, Water Resour., 48, 877–885, https://doi.org/10.1134/S0097807821060142, 2021.
Panin, A. V., Sorokin, A. N., Bricheva, S. S., Matasov, V. M., Morozov, V. V., Smirnov, A. L., Solodkov, N. N., and Uspenskaia, O. N.: Landscape development history of the Zabolotsky peat bog in the context of initial settlement of the Dubna River lowland (Upper Volga basin), Vestnik Archeologii, Antropologii i Etnografii, 2, 85–100. https://doi.org/10.20874/2071-0437-2022-57-2-7, 2022.
Panin, G. N. and Dianskii, N. A.: On the correlation between oscillations of the Caspian Sea level and the North Atlantic climate, Izvestiya, Atmospheric and Oceanic Physics, 50, 266–278, https://doi.org/10.1134/S000143381402008X, 2014.
Peltier, W. R., Argus, D. F., and Drummond, R.: Space geodesy constrains ice age terminal deglaciation: The global ICE-6G_C (VM5a) model, J. Geophys. Res.-Sol. Ea., 120, 450–487, https://doi.org/10.1002/2014JB011176, 2015.
Ratkovich, D. Ya.: Modern variations of the Caspian Sea level, Water Resour., 20, 160–171, 1993.
Rychagov, G. I.: Late Pleistocene history of the Caspian Sea, in: Comprehensive studies of the Caspian Sea, edited by: Leontiev, O. K. and Maev, E. G., MSU Press, Moscow, 18–29, https://drive.google.com/file/d/1Ueahhl1TH952echxDYtVgQ4tuNOwIb9a/view?usp=sharing (last access: 9 January 2024), 1974 (in Russian).
Rychagov, G. I. (Ed.): Pleistocene History of the Caspian Sea, MSU Press, Moscow, 267 pp., ISBN 5-211-03828-2, 1997 (in Russian).
Semikolennykh, D. V., Kurbanov, R. N., and Yanina, T. A.: Age of the Khvalyn Strait in the Late Pleistocene history of the Manych Depression, Vestnik Mos. Univ. Seria 5 Geogr., 5, 103–112, 2022 (in Russian).
Sidorchuk, A. Y., Panin, A. V., and Borisova, O. K.: Climate-induced changes in surface runoff on the North-Eurasian plains during the late glacial and Holocene, Water Resour., 35, 386–396, https://doi.org/10.1134/S0097807808040027, 2008.
Sidorchuk, A. Y., Panin, A. V., and Borisova, O. K.: Morphology of river channels and surface runoff in the Volga River basin (East European Plain) during the Late Glacial period, Geomorphology, 113, 137–157, https://doi.org/10.1016/j.geomorph.2009.03.007, 2009.
Sidorchuk, A., Panin, A., and Borisova, O.: Surface runoff to the Black Sea from the East European Plain during Last Glacial Maximum–Late Glacial time, in: Geology and Geoarchaeology of the Black Sea Region: Beyond the Flood Hypothesis, edited by: Buynevich, I., Yanko–Hombach, V., Gilbert, A. S., and Martin, R. E., Geological Society of America Special Paper 473, 1–25, https://doi.org/10.1130/2011.2473(01), 2011.
Sidorchuk, A. Y., Ukraintsev, V. Y., and Panin, A. V.: Estimating Annual Volga Runoff in the Late Glacial Epoch from the Size of River Paleochannels, Water Resour., 48, 864–876, https://doi.org/10.1134/S0097807821060178, 2021.
Simakova, A. N.: Evolution of vegetation of the Russian Plain and Western Europe in the Late Neopleistocene-Middle Holocene (33–4.8 thousand years BP) (from palynological data), Ph.D. thesis, Geological Institute of the Russian Academy of Sciences, Moscow, 34 pp., https://www.dissercat.com/content/razvitie-rastitelnogo-pokrova-russkoi-ravniny-i-zapadnoi-evropy-v-pozdnem-neopleistotsene-sr/read (last access: 5 January 2024), 2008 (in Russian).
Smith, M. and Riseborough, D.: Climate and the limits of permafrost: A zonal analysis, Permafrost Periglac., 13, 1–15, https://doi.org/10.1002/ppp.410, 2002.
Svitoch, A. A.: Khvalynian transgression of the Caspian Sea was not a result of water overflow from the Siberian proglacial lakes, nor a prototype of the Noachian flood, Quatern. Int., 197, 115–125, https://doi.org/10.1016/j.quaint.2008.02.006, 2009.
Svitoch, A. A. (Ed.): The Big Caspian: Structure and History of Development, MSU Press, Moscow, 270 pp., ISBN 978-5-19-010904-7, 2014 (in Russian).
Svitoch, A. A. and Parunin, O. B.: On the rate of formation of mollusk complexes in ancient Caspian sediments, Vestnik Mos. Univ. Seria 5. Geogr., 3, 41–48, 1973 (in Russian).
Svitoch, A. A. and Yanina, T. A.: On the time of the Khvalyn transgression of the Caspian Sea (based on absolute dating data), in: Geologo-geomorfologicheskiye issledovaniya Kaspiyskogo morya, edited by: Voropayev, G. I., Lebedev, L. I., and Leontiev, O. K. MSU Press, Moscow, 156–163, 1983 (in Russian).
Svitoch, A. A. and Yanina, T. A.: Quaternary Deposits of the Caspian Sea Coasts, MSU Press, Moscow, 267 pp., https://www.geokniga.org/books/14816 (last access: 5 January 2024), 1997 (in Russian).
Svitoch, A. A., Parunin, O. B., and Yanina, T. A.: Radiocarbon chronology of the deposits and events of late Pleistocene of the Ponto-Caspian region, in: Quaternary Geochronology, edited by: Murzaev, V. E., Puning, Y.-M. K., Chichagova, O. A., Nauka, Moscow, pp. 72–80, ISBN 5-02-003826-1, 1992 (in Russian).
Svitoch, A. A., Yanina, T. A., Novikova, N. G., Sobolev, V. M., and Khomenko, A. A.: The Pleistocene of the Manych (structure and evolution): Questions of Structure and Development, MSU Press, Moscow, 135 pp., ISBN 978-5-89-575-183-1, 2010 (in Russian). (English language abstract and introduction are available via https://www.researchgate.net/publication/288838522_THE_PLEISTOCENE_OF_THE_MANYCH_structure_and_evolution_Plejstocen_Manyca_voprosy_stroenia_i_razvitia, last access: 13 January 2024)
Taratunina, N. A., Buylaert, J. P., Kurbanov, R. N., Yanina, T. A., Makeev, A. O., Lebedeva, M. P., Utkina, A. O., and Murray, A. S.: Late Quaternary evolution of lower reaches of the Volga River (Raygorod section) based on luminescence dating, Quat. Geochronol., 72, 101369, https://doi.org/10.1016/j.quageo.2022.101369, 2022.
Toropov, P. A. and Morozova, P. A.: Evaluation of the Caspian Sea level fluctuations during the Late Pleistocene cryochrone epoch based on the results of the numerical climate modeling, Vestn. Mosc. Univ. Ser. 5 Geogr. 2, 55–61, 2011 (in Russian).
Tudryn, A., Leroy, S. A. G., Toucanne, S., Gibert-Brunet, E., Tucholka, P., Lavrushin, Y. A., Dufaure, O., Miska, S., and Bayon, G.: The Ponto-Caspian basin as a final trap for southeastern Scandinavian Ice-Sheet meltwater, Quaternary Sci. Rev., 148, 29–43, https://doi.org/10.1016/j.quascirev.2016.06.019, 2016.
Ukraintsev, V. Y.: Geomorphological Evidence of High River Runoff in the Volga Basin during the Late Glacial, Doklady Earth Sciences, 506, S1−-S6, https://doi.org/10.1134/S1028334X2260030X, 2022.
Ushakov, K. V. and Ibrayev, R. A.: Assessment of mean world ocean meridional heat transport characteristics by a high-resolution model, Russ. J. Earth Sci., 18, ES1004, https://doi.org/10.2205/2018ES000616, 2018.
Varuschenko, S. I., Varuschenko, A. N., and Klige, R. K.: Changes in the Regime of the Caspian Sea and Closed Basins in Paleotime, Nauka, Moscow, 239 pp., https://www.geokniga.org/books/27988 (last access: 5 January 2024), 1987 (in Russian).
Volodin, E. M., Mortikov, E. V., Kostrykin, S. V., Galin, V. Y., Lykossov, V. N., Gritsun, A. S., Diansky, N. A., Gusev, A. V., Iakovlev, N. G., Shestakova, A. A., and Emelina, S. V.: Simulation of the modern climate using the INMCM48 climate model, Russ. J. Numer. Anal. M., 33, 367–374, https://doi.org/10.1515/rnam-2018-0032, 2018.
Volodin, E., Mortikov, E., Gritsun, A., Lykossov, V., Galin, V., Diansky, N., Gusev, A., Kostrykin, S., Iakovlev, N., Shestakova, A., and Emelina, S.: INM INM-CM4-8 model output prepared for CMIP6 PMIP lgm, Earth System Grid Federation, https://doi.org/10.22033/ESGF/CMIP6.5075, 2019a.
Volodin, E., Mortikov, E., Gritsun, A., Lykossov, V., Galin, V., Diansky, N., Gusev, A., Kostrykin, S., Iakovlev, N., Shestakova, A., and Emelina, S.: INM INM-CM4-8 model output prepared for CMIP6 PMIP midHolocene, Earth System Grid Federation, https://doi.org/10.22033/ESGF/CMIP6.5077, 2019b.
Water balance and level fluctuations of the Caspian Sea. Modeling and prediction, edited by: Gruzinov, V., Moscow, Rosgidromet., 375 pp., ISBN 978-5-9908623-0-2, 2016 (in Russian).
Yanina, T. A.: Correlation of the Late Pleistocene paleogeographical events of the Caspian Sea and Russian plain, Quatern. Int., 271, 120–129, https://doi.org/10.1016/j.quaint.2012.06.003, 2012.
Yanina, T., Sorokin, V., Bezrodnykh, Y., and Romanyuk, B.: Late Pleistocene climatic events reflected in the Caspian Sea geological history (based on drilling data), Quatern. Int., 465, 130–141, https://doi.org/10.1016/j.quaint.2017.08.003, 2018.
Yanko-Hombach, V. and Kislov, A.: Late Pleistocene and Holocene sea-level dynamics in the Caspian and Black seas: Data synthesis and paradoxical interpretations, Quatern. Int., 465, 63–71, https://doi.org/10.1016/j.quaint.2017.11.030, 2018.
Zekster, I. S.: Groundwater discharge into lakes: a review of recent studies with particular regard to large saline lakes in central Asia, Int. J. Salt Lake Res., 4, 233–249, https://doi.org/10.1007/BF02001493, 1995.
Short summary
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.
Paleogeographical data show that 17–13 ka BP, the Caspian Sea level was 80 m above the current...
