Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1505-2019
© Author(s) 2019. 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-23-1505-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2019
Research article |
| 15 Mar 2019
| 15 Mar 2019
Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Daoxian Yuan
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Karst Dynamic Laboratory, Ministry of Land and Resources, Guilin
541004, China
Jiao Liu
Chongqing Hydrology and Water Resources Bureau,
Chongqing 401120, China
Yongjun Jiang
School of Geographical Sciences of Southwest University, Chongqing
Key Laboratory of Karst Environment, Chongqing 400715, China
Yangbo Chen
Department of Water Resources and
Environment, Sun Yat-Sen University, Guangzhou 510275, China
Kuo Lin Hsu
Center for Hydrometeorology and Remote Sensing, Department of Civil
and Environmental Engineering, University of California, Irvine,
Irvine, California
Soroosh Sorooshian
Center for Hydrometeorology and Remote Sensing, Department of Civil
and Environmental Engineering, University of California, Irvine,
Irvine, California
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Ji Li, Daoxian Yuan, Fuxi Zhang, Jiao Liu, and Mingguo Ma
Geosci. Model Dev., 15, 6581–6600, https://doi.org/10.5194/gmd-15-6581-2022, https://doi.org/10.5194/gmd-15-6581-2022, 2022
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A new karst hydrological model (the QMG model) is developed to simulate and predict the floods in karst trough valley basins. Unlike the complex structure and parameters of current karst groundwater models, this model has a simple double-layered structure with few parameters and decreases the demand for modeling data in karst areas. The flood simulation results based on the QMG model of the Qingmuguan karst trough valley basin are satisfactory, indicating the suitability of the model simulation.
Ji Li, Daoxian Yuan, Aihua Hong, Yongjun Jiang, Jiao Liu, and Yangbo Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-285, https://doi.org/10.5194/hess-2019-285, 2019
Preprint withdrawn
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There is often a lack of effective precipitation in karst areas. In this study, two weather models, the WRF QPF and the PERSIANN-CCS QPEs are used,compared and revised to obtain reliable rainfall results for a karst basin. After that,coupling the two weather model with a new fully distributed and physical hydrological model, the Karst-Liuxihe model in flood simulations and forecasting in a typical karst watershed. This coupling model works well and can be extended to other karst basins.
Ji Li, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li, and Sen Chiao
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Quantitative precipitation forecast produced by the WRF model has a similar pattern to that estimated by rain gauges in a southern China large watershed, hydrological model parameters should be optimized with QPF produced by WRF, and simulating floods by coupling the WRF QPF with a distributed hydrological model provides a good reference for large watershed flood warning and could benefit the flood management communities due to its longer lead time.
Yangbo Chen, Ji Li, Huanyu Wang, Jianming Qin, and Liming Dong
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The distributed hydrological model has not yet been applied in large watershed flood forecasting due to some limitations. By proposing a method for estimating channel cross section size with remote sensing data, employing the PSO algorithm optimize model parameters and running the model on high-performance supercomputer with parallel computation technique, this article successfully applied the Liuxihe model in a larger watershed flood forecasting in southern China at high resolution.
Y. Chen, J. Li, and H. Xu
Hydrol. Earth Syst. Sci., 20, 375–392, https://doi.org/10.5194/hess-20-375-2016, https://doi.org/10.5194/hess-20-375-2016, 2016
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Parameter optimization is necessary to improve the flood forecasting capability of physically based distributed hydrological model. A method for parameter optimization with particle swam optimization (PSO) algorithm has been proposed for physically based distributed hydrological model in catchment flood forecasting and validated in southern China. It has found that the appropriate particle number and maximum evolution number of PSO algorithm are 20 and 30 respectively.
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Our study shows that while the quantile regression forest (QRF) and countable mixtures of asymmetric Laplacians long short-term memory (CMAL-LSTM) models demonstrate similar proficiency in multipoint probabilistic predictions, QRF excels in smaller watersheds and CMAL-LSTM in larger ones. CMAL-LSTM performs better in single-point deterministic predictions, whereas QRF model is more efficient overall.
Yangbo Chen, Jun Liu, and Liming Dong
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-233, https://doi.org/10.5194/hess-2023-233, 2023
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For an urbanizing watershed, terrain properties are in changing, and the parameters of a hydrological model employed for simulating and forecasting the watershed flood processes are also in changing accordingly, this is called model parameter dynamics. This study proposed a methodology that considers this parameter dynamics, and tested in an urbanizing watershed. It has been found that the parameter of physically based distributed hydrological model is LUC stationary.
Ji Li, Daoxian Yuan, Fuxi Zhang, Jiao Liu, and Mingguo Ma
Geosci. Model Dev., 15, 6581–6600, https://doi.org/10.5194/gmd-15-6581-2022, https://doi.org/10.5194/gmd-15-6581-2022, 2022
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A new karst hydrological model (the QMG model) is developed to simulate and predict the floods in karst trough valley basins. Unlike the complex structure and parameters of current karst groundwater models, this model has a simple double-layered structure with few parameters and decreases the demand for modeling data in karst areas. The flood simulation results based on the QMG model of the Qingmuguan karst trough valley basin are satisfactory, indicating the suitability of the model simulation.
Chao-Jun Chen, Dao-Xian Yuan, Jun-Yun Li, Xian-Feng Wang, Hai Cheng, You-Feng Ning, R. Lawrence Edwards, Yao Wu, Si-Ya Xiao, Yu-Zhen Xu, Yang-Yang Huang, Hai-Ying Qiu, Jian Zhang, Ming-Qiang Liang, and Ting-Yong Li
Clim. Past Discuss., https://doi.org/10.5194/cp-2021-20, https://doi.org/10.5194/cp-2021-20, 2021
Manuscript not accepted for further review
Ji Li, Daoxian Yuan, Aihua Hong, Yongjun Jiang, Jiao Liu, and Yangbo Chen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-285, https://doi.org/10.5194/hess-2019-285, 2019
Preprint withdrawn
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There is often a lack of effective precipitation in karst areas. In this study, two weather models, the WRF QPF and the PERSIANN-CCS QPEs are used,compared and revised to obtain reliable rainfall results for a karst basin. After that,coupling the two weather model with a new fully distributed and physical hydrological model, the Karst-Liuxihe model in flood simulations and forecasting in a typical karst watershed. This coupling model works well and can be extended to other karst basins.
Phu Nguyen, Mohammed Ombadi, Soroosh Sorooshian, Kuolin Hsu, Amir AghaKouchak, Dan Braithwaite, Hamed Ashouri, and Andrea Rose Thorstensen
Hydrol. Earth Syst. Sci., 22, 5801–5816, https://doi.org/10.5194/hess-22-5801-2018, https://doi.org/10.5194/hess-22-5801-2018, 2018
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The goal of this article is to first provide an overview of the available PERSIANN precipitation retrieval algorithms and their differences. We evaluate the products over CONUS at different spatial and temporal scales using CPC data. Daily scale is the finest temporal scale used for the evaluation over CONUS. We provide a comparison of the available products at a quasi-global scale. We highlight the strengths and limitations of the PERSIANN products.
Chaopeng Shen, Eric Laloy, Amin Elshorbagy, Adrian Albert, Jerad Bales, Fi-John Chang, Sangram Ganguly, Kuo-Lin Hsu, Daniel Kifer, Zheng Fang, Kuai Fang, Dongfeng Li, Xiaodong Li, and Wen-Ping Tsai
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Recently, deep learning (DL) has emerged as a revolutionary tool for transforming industries and scientific disciplines. We argue that DL can offer a complementary avenue toward advancing hydrology. New methods are being developed to interpret the knowledge learned by deep networks. We argue that open competitions, integrating DL and process-based models, more data sharing, data collection from citizen scientists, and improved education will be needed to incubate advances in hydrology.
Luying Pan, Yangbo Chen, and Tao Zhang
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Zongxue Xu, Dingzhi Peng, Wenchao Sun, Bo Pang, Depeng Zuo, Andreas Schumann, and Yangbo Chen
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Ji Li, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li, and Sen Chiao
Hydrol. Earth Syst. Sci., 21, 1279–1294, https://doi.org/10.5194/hess-21-1279-2017, https://doi.org/10.5194/hess-21-1279-2017, 2017
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Quantitative precipitation forecast produced by the WRF model has a similar pattern to that estimated by rain gauges in a southern China large watershed, hydrological model parameters should be optimized with QPF produced by WRF, and simulating floods by coupling the WRF QPF with a distributed hydrological model provides a good reference for large watershed flood warning and could benefit the flood management communities due to its longer lead time.
Yangbo Chen, Ji Li, Huanyu Wang, Jianming Qin, and Liming Dong
Hydrol. Earth Syst. Sci., 21, 735–749, https://doi.org/10.5194/hess-21-735-2017, https://doi.org/10.5194/hess-21-735-2017, 2017
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The distributed hydrological model has not yet been applied in large watershed flood forecasting due to some limitations. By proposing a method for estimating channel cross section size with remote sensing data, employing the PSO algorithm optimize model parameters and running the model on high-performance supercomputer with parallel computation technique, this article successfully applied the Liuxihe model in a larger watershed flood forecasting in southern China at high resolution.
Xiaomang Liu, Tiantian Yang, Koulin Hsu, Changming Liu, and Soroosh Sorooshian
Hydrol. Earth Syst. Sci., 21, 169–181, https://doi.org/10.5194/hess-21-169-2017, https://doi.org/10.5194/hess-21-169-2017, 2017
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A long-term, global, high-resolution, satellite-based precipitation estimation database (PERSIANN-CDR) was recently released. We evaluate the streamflow simulation capability of PERSIANN-CDR over two major river basins on the Tibetan Plateau. Results show that PERSIANN-CDR is a good alternative for a sparse gauge network and has the potentials for future hydrological and climate studies. The streamflow uncertainties are due to the hydrological model parameters and the length of calibration data.
Y. Chen, J. Li, and H. Xu
Hydrol. Earth Syst. Sci., 20, 375–392, https://doi.org/10.5194/hess-20-375-2016, https://doi.org/10.5194/hess-20-375-2016, 2016
Short summary
Short summary
Parameter optimization is necessary to improve the flood forecasting capability of physically based distributed hydrological model. A method for parameter optimization with particle swam optimization (PSO) algorithm has been proposed for physically based distributed hydrological model in catchment flood forecasting and validated in southern China. It has found that the appropriate particle number and maximum evolution number of PSO algorithm are 20 and 30 respectively.
R. Sultana, K.-L. Hsu, J. Li, and S. Sorooshian
Hydrol. Earth Syst. Sci., 18, 3553–3570, https://doi.org/10.5194/hess-18-3553-2014, https://doi.org/10.5194/hess-18-3553-2014, 2014
D. Zhu, Q. Ren, Y. Xuan, Y. Chen, and I. D. Cluckie
Hydrol. Earth Syst. Sci., 17, 495–505, https://doi.org/10.5194/hess-17-495-2013, https://doi.org/10.5194/hess-17-495-2013, 2013
Related subject area
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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.
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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.
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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
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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 accepted 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.
Cited articles
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and
Rasmussen, J.: An Introduction to the European HydrologicSystem-System
Hydrologue Europeen, “SHE”, a: History and Philosophy of a Physically-based,
Distributed Modelling System, J. Hydrol., 87, 45–59, 1986a.
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen,
J.: An Introduction to the European Hydrologic System-System Hydrologue
Europeen, “SHE”, b: Structure of a Physically based, distributed modeling
System, J. Hydrol., 87, 61–77, 1986b.
Ahilan, S., O'Sullivan, J. J., and Bruen, M.: Influences on flood frequency
distribution in Irish catchments, 34th IAHR World Congress 2011: Balance and
Uncertainty: Water in a Changing World, International Association for
Hydro-Environment Engineering and Research, Brisbane, Australia, 2012.
Ambroise, B., Beven, K., and Freer, J.: Toward a generalization of the
TOPMODEL concepts: Topographic indices of hydrologic similarity, Water
Resour. Res., 32, 2135–2145, 1996.
Ashouri, H., Hsu, K. L., Soroosh, S., Braithwaite, D. K., Knapp, K. R., and
Cecil, L. D.: PERSIANN-CDR: Daily Precipitation Climate Data Record from
Multisatellite Observations for Hydrological and Climate Studies, B. Am. Meteorol. Soc., 96, 197–210, 2014.
Atkinson, T. C.: Diffuse flow and conduit flow in limestone terrain in the
Mendip Hills, Somerset (Great Britain), J. Hydrol.,
35, 93–110, 1977.
Bartsotas, N., Nikolopoulos, E., Anagnostou, E., and Kallos, G.: Improving
satellite quantitative precipitation estimates through the use of
high-resolution numerical weather predictions: Similarities and contrasts
between the Alps and Blue Nile region, EGU
General Assembly Conference Abstracts, 19th EGU General Assembly, EGU 2017, 23–28 April, p. 9673, Vienna, Austria, 2017.
Birk, S., Geyer, T., Liedl, R., and Sauter, M.: Process-based interpretation
of tracer tests in carbonate aquifers, Ground Water, 43, 381–388, 2005.
Chen, Y., Li, J., and Xu, H.: Improving flood forecasting capability of
physically based distributed hydrological models by parameter optimization,
Hydrol. Earth Syst. Sci., 20, 375–392,
https://doi.org/10.5194/hess-20-375-2016, 2016.
Chen, Y., Li, J., Wang, H., Qin, J., and Dong, L.: Large-watershed flood
forecasting with high-resolution distributed hydrological model, Hydrol.
Earth Syst. Sci., 21, 735–749, https://doi.org/10.5194/hess-21-735-2017,
2017.
Chen, Y. B.: Liuxihe Model, China Science and Technology Press, Peking,
China, 2009.
Choi, J., Harvey, J. W., and Conklin, M. H.: Use of multi-parameter
sensitivity analysis to determine relative importance of factors influencing
natural attenuation of mining contaminants, The Toxic Substances Hydrology
Program Meeting, Charleston, South Carolina, 1999.
Delrieu, G., Bonnifait, L., Kirstetter, P. E., and Boudevillain, B.:
Dependence of radar quantitative precipitation estimation error on the rain
intensity in the Cévennes region, France, Hydrolog. Sci. J.,
59, 1308–1319, 2014.
Doummar, J., Margane, A., Sauter, M., and Geyer, T.: Assessment of transport
parameters in a karst system under various flow periods through extensive
analysis of artificial tracer tests, EGU General Assembly Conference
Abstracts, EGU General Assembly 2012, 22–27 April, p. 9580, Vienna, Austria, 2012.
Duan, J. and Miller, N. L.: A generalized power function for the subsurface
transmissivity profile in TOPMODEL, Water Resour. Res.,
33, 2559–2562, 1997.
Falorni, G., Teles, V., Vivoni, E. R., Bras, R. L., and Amaratunga, K. S.:
Analysis and characterization of the vertical accuracy of digital elevation
models from the Shuttle RadarTopography Mission, J. Geophys. Res.-Earth,
110, F02005, https://doi.org/10.1029/2003JF000113, 2005.
Fan, K. K., Duan, L. M., Zhang, Q., Shi, P. J., Liu, J. Y., Gu, X. H., and Kong,
D. D.: Downscaling Analysis of TRMM Precipitation Based on Multiple
High-resolution Satellite Data in the Inner Mongolia, China, Scientia
Geographica Sinica, 37, 1411–1421, 2017.
Faure, D., Gaussiat, N., Tabary, P., and Urban, B.: Real time integration of
foreign radar quantitative precipitation estimations (QPEs) in the French
national QPE mosaic, Conference on Radar Meteorology, AMS, Marseilles, France, 21–21, 2015.
Ford, D. and Williams, P. W.: Karst Geomorphology and Hydrology, Unwin Hyman, London, 1989.
Freeze, R. A. and Harlan, R. L.: Blueprint for a physically-based,digitally
simulated, hydrologic response model, J. Hydrol., 9, 237–258, 1969.
Goldscheider, N. and Drew, D.: Methods in Karst Hydrogeology: IAH:
International Contributions to Hydrogeology, 26, CRC Press, The University of Auckland , New Zealand, 2007.
Goudenhoofdt, E. and Delobbe, L.: Evaluation of radar-gauge merging methods
for quantitative precipitation estimates, Hydrol. Earth Syst. Sci., 13,
195–203, https://doi.org/10.5194/hess-13-195-2009, 2009.
Hartmann, A., Barberá, J. A., Lange, J., Andreo, B., and Weiler, M.:
Progress in the hydrologic simulation of time variant recharge areas of
karst systems – Exemplified at a karst spring in Southern Spain,
Adv. Water Resour., 54, 149–160, 2013.
He, R. X.: Impact of Aquatic Bacteria on Karst Carbon Sequestration: A Case
Study in the Honghua Hydropower Station, Liujiang Basin, Southwest University, Chongqing, China, 2017.
Hirpa, F. A., Gebremichael, M., and Hopson, T.: Evaluation of
high-resolution satellite precipitation products over very complex terrain
in ethiopia, J. Appl. Meteorol. Clim., 49, 1044–1051, 2010.
Hsu, K. L., Gupta, H. V., Gao, X. G, and Soroosh, S.: Estimation of physical
variables from multichannel remotely sensed imagery using a neural network:
Application to rainfall estimation, Water Resour. Res.,
35, 1605–1618, 1999.
Hsu, K. L, Yang, H., and Soroosh, S.: Rainfall Estimation Using a Cloud Patch
Classification Map, Measuring Precipitation From Space, Springer, the Netherlands, 329–342, 2007.
Hussain, Y., Satgé, F., Hussain, M. B., Martinez-Carvajal, H., Bonnet,
M. P., and Cárdenas-Soto, M.: Performance of CMORPH, TMPA, and PERSIANN
rainfall datasets over plain, mountainous, and glacial regions of Pakistan,
Theor. Appl. Climatol., 131, 1119–1132, 2018.
Hu, Q. F., Yang, D. W., Wang, Y. T., Yang, H. B., and Liu, Y.: Characteristics and
sources of errors in daily TRMM precipitation product over Ganjiang River
basin in China, Adv. Water Sci., 24, 794–800, 2013.
Kovacs, A. and Perrochet, P.: Hydrograph Analysis for Parameter Estimation of
Connected and Karst Systems, Proceedings of the 34th World Congress of the
International Association for Hydro-Environment Research and Engineering:
33rd Hydrology and Water Resources Symposium and 10th Conference on
Hydraulics in Water Engineering, Engineers Australia, 1627–1634, Neuchatel,
Switzerland, 2011.
Li, B. G. and Tao, S.: Several Problems and Their Solutions in Surface Runoff
Modeling, Bulletin of Soil and Water Conservation, 20, 47–49, 2000.
Li, G. F.: Karst Hydrogeologic Characteristics and Water Resources in
Guangxi, China, Carsologica Sinica, 3, 253–258, 1996.
Li, J., Chen, Y., Wang, H., Qin, J., Li, J., and Chiao, S.: Extending flood
forecasting lead time in a large watershed by coupling WRF QPF with a
distributed hydrological model, Hydrol. Earth Syst. Sci., 21, 1279–1294,
https://doi.org/10.5194/hess-21-1279-2017, 2017.
Li, X. M. and Ren, B.: The calculation method of non-closure small watershed
of the mine water runoff in ungauged basins, Mineral Engineering Research, 3,
45–48, 2009.
Liu, H. M., Deng, H. P., Sun, S. F., and Xiao, Y.: Numerically Test of Influence of
Incorporation of TOPMODEL into Land Surface Model SSiB on Hydrological
Simulation at Basin Scale, Plateau Meteorology, 32, 829–838, 2013.
Liu, X., Yang, T., Hsu, K., Liu, C., and Sorooshian, S.: Evaluating the
streamflow simulation capability of PERSIANN-CDR daily rainfall products in
two river basins on the Tibetan Plateau, Hydrol. Earth Syst. Sci., 21,
169–181, https://doi.org/10.5194/hess-21-169-2017, 2017.
Loveland, T. R., Merchant, J. W., Ohlen, D. O., and Brown, J. F.:
Development of a Land Cover Characteristics Data Base for the Conterminous
U.S., Photogram, Photogramm. Eng. Rem. S., 57, 1453–1463, 1991.
Loveland, T. R., Reed, B. C., Brown, J. F., Ohlen, D. O., Zhu, J., 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.
Mekonnen, G. and Hossain, F.: Satellite Rainfall Applications for Surface
Hydrology, Springer, the Netherlands, 2010.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., and Williams, J. R.: Soil and
Water Assessment Tool, (SWAT): theoretical documentation, version 2000, Texas water resources institute, College station, TX, TWRI
Report TR-191, Texas, USA, 2002
Quinlan, J. F and Ewers, R. O.: Ground water flow in limestone terranes
– strategy, rationale and procedure for reliable, efficient monitoring of
ground water in karst areas, Mendeley, 8, 167–173, 1985.
Quinlan, J. F., Davies, G. J., Jones, S. W., and Huntoon, P. W.: The
applicability of numerical models to adequately characterize ground-water
flow in karstic and other triple-porosity aquifers, Subsurface Fluid-Flow
(Ground-Water and Vadose Zone) Modeling, ASTM International, Nashville, TN, USA, 1996.
Rafieei, N. A., Norouzi, A., Kim, B., and Seo, D.: J Fusion of multiple
radar-based quantitative precipitation estimates (QPE) for high-resolution
flash flood prediction in large urban areas, AGU Fall
Meeting Abstracts, AGU Fall Meeting, San Francisco, CA, USA, 2014.
Ren, Q. W.: Water Quantity Evaluation Methodology Based on Modified SWAT
Hydrological Modeling in Southwest Karst Area, China University of
Geoscience, Wuhan, China, 2006.
Romilly, T. G. and Gebremichael, M.: Evaluation of satellite rainfall
estimates over Ethiopian river basins, Hydrol. Earth Syst. Sci., 15,
1505–1514, https://doi.org/10.5194/hess-15-1505-2011, 2011.
Servat, E. and Sakho, M.: Modelling and management of sustainable
basin-scale water resource systems: Proceedings of an international
symposium held at Boulder, Proceedings of IAHS Symposium 6, IAHS Publication No. 231, 1995.
Sharma, A. and Tiwari, K. N.: A comparative appraisal of hydrological
behavior of SRTM DEM at catchment level, J. Hydrol., 519, 1394–1404, 2014.
Shuster, E. T. and White, W. B.: Seasonal fluctuations in the chemistry of
lime-stone springs: A possible means for characterizing carbonate aquifers, J. Hydrol., 14, 93–128, 1971.
Soroosh, S., Hsu, K. L., Gao, X. G., Hoshin, V. G., Bisher, I., and Braithwaite, D.:
Evaluation of PERSIANN System Satellite-Based Estimates of Tropical
Rainfall, B. Am. Meteorol. Soc., 81, 2035–2046, 2000.
Stenz, R. D.: Improving satellite quantitative precipitation estimates by
incorporating deep convective cloud optical depth, Dissertations & Theses
– Gradworks, The University of North Dakota, USA, 2014.
Tan, M. L. and Santo, H.: Comparison of GPM IMERG, TMPA 3B42 and PERSIANN-CDR
satellite precipitation products over Malaysia, Atmos. Res., 202, 63–76, 2018.
Wardhana, A., Pawitan, H., and Dasanto, B. D.: Application of hourly
radar-gauge merging method for quantitative precipitation estimates, in: IOP Conference Series: Earth and Environmental
Science, Vol. 58, No. 1, p. 012033, IOP Publishing, https://doi.org/10.1088/1755-1315/58/1/012033, 2017.
Williams, P. W.: Geomorohic inheritance and the development of tower karst, Earth Surf. Proc. Land., 12, 453–465, 1987.
Yang, H., Hsu, K. L., Soroosh, S., and Gao, X. G.: Precipitation Estimation
from Remotely Sensed Imagery Using an Artificial Neural Network Cloud
Classification System, J. Appl. Meteorol., 36, 1176–1190, 2004.
Yang, H., Gochis, D., Cheng, J. T., Hsu, K. L., and Soroosh, S.: Evaluation of
PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network,
J. Hydromteorol., 8, 469–482, 2007.
Zhang, C., Jiang, Y. J., Lian, Y. Q., Yuan, D. X., Pei, J. G., and Jiang, G. H.:
Rainfall-runoff simulation of a typical karst fengcong depression system
using SWMM model – A case study of the Yaji experimental site in
Guilin, Hydrogeology and Engineering Geology, 34, 10–14, 2007.
Short summary
There are no long-term reasonable rainfall data to build a hydrological model in karst river basins to a large extent. In this paper, the PERSIANN-CCS QPEs are employed to estimate the precipitation data as an attempt in the Liujiang karst river basin, 58 270 km2, China. An improved method is proposed to revise the results of the PERSIANN-CCS QPEs. The post-processed PERSIANN-CCS QPE with a distributed hydrological model, the Liuxihe model, has a better performance in karst flood forecasting.
There are no long-term reasonable rainfall data to build a hydrological model in karst river...
