Articles | Volume 17, issue 7
https://doi.org/10.5194/hess-17-2859-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-2859-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jul 2013
Research article |
| 23 Jul 2013
Drought evolution characteristics and precipitation intensity changes during alternating dry–wet changes in the Huang–Huai–Hai River basin
D. H. Yan
State Key Laboratory of Simulation and Regulation of River Basin Water Cycle, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
D. Wu
State Key Laboratory of Simulation and Regulation of River Basin Water Cycle, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
R. Huang
State Key Laboratory of Simulation and Regulation of River Basin Water Cycle, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
L. N. Wang
State Key Laboratory of Simulation and Regulation of River Basin Water Cycle, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
G. Y. Yang
State Key Laboratory of Simulation and Regulation of River Basin Water Cycle, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Water Resources Department, China Institute of Water Resources and Hydropower Research (IWHR), Beijing, 100038, China
Related authors
Keke Zhao, Denghua Yan, Tianling Qin, Chenhao Li, Dingzhi Peng, and Yifan Song
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-291, https://doi.org/10.5194/essd-2025-291, 2025
Preprint under review for ESSD
Short summary
Short summary
This study presents a high-quality daily weather dataset for all of China from 1961 to 2021, including air temperature, atmospheric pressure, relative humidity, and sunshine duration. It was produced using a reconstruction framework that combines thousands of ground observations with landform and elevation data. The dataset provides consistent weather information even in mountainous regions and supports studies on land surface and water processes, climate change, and environmental impacts.
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
Short summary
Short summary
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.
Baisha Weng, Zhaoyu Dong, Yuheng Yang, Denghua Yan, Mengyu Li, and Yuhang Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2022-1290, https://doi.org/10.5194/egusphere-2022-1290, 2022
Preprint archived
Short summary
Short summary
The study selected a structural equation model to construct the turnover rate of amino sugars with soil physicochemical properties and extracellular enzymes under the warming and increased precipitation scenarios. The results of this study answer the mechanism of action of warming and precipitation on the effect of soil amino sugars which will play an important scientific and technical support role in the development of plateau agriculture and carbon and nitrogen cycles.
Tongtiegang Zhao, Haoling Chen, Yu Tian, Denghua Yan, Weixin Xu, Huayang Cai, Jiabiao Wang, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 26, 4233–4249, https://doi.org/10.5194/hess-26-4233-2022, https://doi.org/10.5194/hess-26-4233-2022, 2022
Short summary
Short summary
This paper develops a novel set operations of coefficients of determination (SOCD) method to explicitly quantify the overlapping and differing information for GCM forecasts and ENSO teleconnection. Specifically, the intersection operation of the coefficient of determination derives the overlapping information for GCM forecasts and the Niño3.4 index, and then the difference operation determines the differing information in GCM forecasts (Niño3.4 index) from the Niño3.4 index (GCM forecasts).
Ying Li, Chenghao Wang, Hui Peng, Shangbin Xiao, and Denghua Yan
Hydrol. Earth Syst. Sci., 25, 4759–4772, https://doi.org/10.5194/hess-25-4759-2021, https://doi.org/10.5194/hess-25-4759-2021, 2021
Short summary
Short summary
Precipitation change in the Three Gorges Reservoir Region (TGRR) plays a critical role in the operation and regulation of the Three Gorges Dam and the protection of residents and properties. We investigated the long-term contribution of moisture sources to precipitation changes in this region with an atmospheric moisture tracking model. We found that southwestern source regions (especially the southeastern tip of the Tibetan Plateau) are the key regions that control TGRR precipitation changes.
Denghua Yan, Baisha Weng, Tianling Qin, Hao Wang, Xiangnan Li, Yuheng Yang, Kun Wang, Zhenyu Lv, Jianwei Wang, Meng Li, Shan He, Fang Liu, Shanshan Liu, Wuxia Bi, Ting Xu, Xiaoqing Shi, Zihao Man, Congwu Sun, Meiyu Liu, Mengke Wang, Yinghou Huang, Haoyu Long, Yongzhen Niu, Batsuren Dorjsuren, Mohammed Gedefaw, Abel Girma, and Asaminew Abiyu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-224, https://doi.org/10.5194/essd-2019-224, 2020
Publication in ESSD not foreseen
Short summary
Short summary
This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of the world.
Wuxia Bi, Baisha Weng, Denghua Yan, Meng Li, Zhilei Yu, Lin Wang, and Hao Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-185, https://doi.org/10.5194/hess-2019-185, 2019
Preprint withdrawn
Short summary
Short summary
This study focuses on solving the
land useand
water usecompetitions between lake-marsh wetland system and its surrounding socio-economic system, also inside the system. An optimal lake-marsh pattern determination method was proposed on considering the ecological services values and water shortage amount. We explored the optimal lake-marsh pattern in both annual and monthly scales. This study could provide references for the ecological spatial management and ecological water control.
Jia Liu, Jiyang Tian, Denghua Yan, Chuanzhe Li, Fuliang Yu, and Feifei Shen
Hydrol. Earth Syst. Sci., 22, 4329–4348, https://doi.org/10.5194/hess-22-4329-2018, https://doi.org/10.5194/hess-22-4329-2018, 2018
Short summary
Short summary
Both radar reflectivity and GTS data are good choices for assimilation in improving high-resolution rainfall of the NWP systems, which always fails in providing satisfactory rainfall products for hydrological use. Simultaneously assimilating GTS and radar data always performs better than assimilating radar data alone. The assimilation efficiency of the GTS data is higher than both radar reflectivity and radial velocity considering the number of data assimilated and its effect.
Jiyang Tian, Jia Liu, Denghua Yan, Chuanzhe Li, and Fuliang Yu
Nat. Hazards Earth Syst. Sci., 17, 563–579, https://doi.org/10.5194/nhess-17-563-2017, https://doi.org/10.5194/nhess-17-563-2017, 2017
Short summary
Short summary
Accurately simulating and predicting the precipitation by numerical weather prediction is a difficult task for medium-sized catchments in semi-humid regions. This study shows that using multiphysics ensembles is a good method to reduce the uncertainties of rainfall simulation. This paper provides more guidance for choosing the physical parameterizations for accurate rainfall simulations of different storm types in semi-humid regions.
B. S. Weng, D. H. Yan, H. Wang, J. H. Liu, Z. Y. Yang, T. L. Qin, and J. Yin
Nat. Hazards Earth Syst. Sci., 15, 1889–1906, https://doi.org/10.5194/nhess-15-1889-2015, https://doi.org/10.5194/nhess-15-1889-2015, 2015
B. B. Huang, D. H. Yan, H. Wang, B. F. Cheng, and X. H. Cui
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-14463-2013, https://doi.org/10.5194/hessd-10-14463-2013, 2013
Manuscript not accepted for further review
Keke Zhao, Denghua Yan, Tianling Qin, Chenhao Li, Dingzhi Peng, and Yifan Song
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-291, https://doi.org/10.5194/essd-2025-291, 2025
Preprint under review for ESSD
Short summary
Short summary
This study presents a high-quality daily weather dataset for all of China from 1961 to 2021, including air temperature, atmospheric pressure, relative humidity, and sunshine duration. It was produced using a reconstruction framework that combines thousands of ground observations with landform and elevation data. The dataset provides consistent weather information even in mountainous regions and supports studies on land surface and water processes, climate change, and environmental impacts.
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
Short summary
Short summary
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.
Baisha Weng, Zhaoyu Dong, Yuheng Yang, Denghua Yan, Mengyu Li, and Yuhang Zhang
EGUsphere, https://doi.org/10.5194/egusphere-2022-1290, https://doi.org/10.5194/egusphere-2022-1290, 2022
Preprint archived
Short summary
Short summary
The study selected a structural equation model to construct the turnover rate of amino sugars with soil physicochemical properties and extracellular enzymes under the warming and increased precipitation scenarios. The results of this study answer the mechanism of action of warming and precipitation on the effect of soil amino sugars which will play an important scientific and technical support role in the development of plateau agriculture and carbon and nitrogen cycles.
Tongtiegang Zhao, Haoling Chen, Yu Tian, Denghua Yan, Weixin Xu, Huayang Cai, Jiabiao Wang, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 26, 4233–4249, https://doi.org/10.5194/hess-26-4233-2022, https://doi.org/10.5194/hess-26-4233-2022, 2022
Short summary
Short summary
This paper develops a novel set operations of coefficients of determination (SOCD) method to explicitly quantify the overlapping and differing information for GCM forecasts and ENSO teleconnection. Specifically, the intersection operation of the coefficient of determination derives the overlapping information for GCM forecasts and the Niño3.4 index, and then the difference operation determines the differing information in GCM forecasts (Niño3.4 index) from the Niño3.4 index (GCM forecasts).
Ying Li, Chenghao Wang, Hui Peng, Shangbin Xiao, and Denghua Yan
Hydrol. Earth Syst. Sci., 25, 4759–4772, https://doi.org/10.5194/hess-25-4759-2021, https://doi.org/10.5194/hess-25-4759-2021, 2021
Short summary
Short summary
Precipitation change in the Three Gorges Reservoir Region (TGRR) plays a critical role in the operation and regulation of the Three Gorges Dam and the protection of residents and properties. We investigated the long-term contribution of moisture sources to precipitation changes in this region with an atmospheric moisture tracking model. We found that southwestern source regions (especially the southeastern tip of the Tibetan Plateau) are the key regions that control TGRR precipitation changes.
Denghua Yan, Baisha Weng, Tianling Qin, Hao Wang, Xiangnan Li, Yuheng Yang, Kun Wang, Zhenyu Lv, Jianwei Wang, Meng Li, Shan He, Fang Liu, Shanshan Liu, Wuxia Bi, Ting Xu, Xiaoqing Shi, Zihao Man, Congwu Sun, Meiyu Liu, Mengke Wang, Yinghou Huang, Haoyu Long, Yongzhen Niu, Batsuren Dorjsuren, Mohammed Gedefaw, Abel Girma, and Asaminew Abiyu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-224, https://doi.org/10.5194/essd-2019-224, 2020
Publication in ESSD not foreseen
Short summary
Short summary
This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of the world.
Wuxia Bi, Baisha Weng, Denghua Yan, Meng Li, Zhilei Yu, Lin Wang, and Hao Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-185, https://doi.org/10.5194/hess-2019-185, 2019
Preprint withdrawn
Short summary
Short summary
This study focuses on solving the
land useand
water usecompetitions between lake-marsh wetland system and its surrounding socio-economic system, also inside the system. An optimal lake-marsh pattern determination method was proposed on considering the ecological services values and water shortage amount. We explored the optimal lake-marsh pattern in both annual and monthly scales. This study could provide references for the ecological spatial management and ecological water control.
Jia Liu, Jiyang Tian, Denghua Yan, Chuanzhe Li, Fuliang Yu, and Feifei Shen
Hydrol. Earth Syst. Sci., 22, 4329–4348, https://doi.org/10.5194/hess-22-4329-2018, https://doi.org/10.5194/hess-22-4329-2018, 2018
Short summary
Short summary
Both radar reflectivity and GTS data are good choices for assimilation in improving high-resolution rainfall of the NWP systems, which always fails in providing satisfactory rainfall products for hydrological use. Simultaneously assimilating GTS and radar data always performs better than assimilating radar data alone. The assimilation efficiency of the GTS data is higher than both radar reflectivity and radial velocity considering the number of data assimilated and its effect.
Jiyang Tian, Jia Liu, Denghua Yan, Chuanzhe Li, and Fuliang Yu
Nat. Hazards Earth Syst. Sci., 17, 563–579, https://doi.org/10.5194/nhess-17-563-2017, https://doi.org/10.5194/nhess-17-563-2017, 2017
Short summary
Short summary
Accurately simulating and predicting the precipitation by numerical weather prediction is a difficult task for medium-sized catchments in semi-humid regions. This study shows that using multiphysics ensembles is a good method to reduce the uncertainties of rainfall simulation. This paper provides more guidance for choosing the physical parameterizations for accurate rainfall simulations of different storm types in semi-humid regions.
B. S. Weng, D. H. Yan, H. Wang, J. H. Liu, Z. Y. Yang, T. L. Qin, and J. Yin
Nat. Hazards Earth Syst. Sci., 15, 1889–1906, https://doi.org/10.5194/nhess-15-1889-2015, https://doi.org/10.5194/nhess-15-1889-2015, 2015
B. B. Huang, D. H. Yan, H. Wang, B. F. Cheng, and X. H. Cui
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-14463-2013, https://doi.org/10.5194/hessd-10-14463-2013, 2013
Manuscript not accepted for further review
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Mathematical applications
A 60-year drought analysis of meteorological data in the western Po River basin
Expected annual minima from an idealized moving-average drought index
Increasing Sensitivity to Soil Moisture Deficits Predominantly Intensifies Evapotranspiration Stress in a Greening China
Estimating global precipitation fields by interpolating rain gauge observations using the local ensemble transform Kalman filter and reanalysis precipitation
A Novel Framework for Analyzing Rainy Season Dynamics in semi-arid environments: A case study in the Peruvian Rio Santa Basin
Using statistical models to depict the response of multi-timescale drought to forest cover change across climate zones
Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations
The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province
The role of atmospheric rivers in the distribution of heavy precipitation events over North America
Study on a mother wavelet optimization framework based on change-point detection of hydrological time series
Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index
Atmospheric water transport connectivity within and between ocean basins and land
Technical Note: Space–time statistical quality control of extreme precipitation observations
The relative importance of antecedent soil moisture and precipitation in flood generation in the middle and lower Yangtze River basin
Rainfall pattern analysis in 24 East Asian megacities using a complex network
Comparison between canonical vine copulas and a meta-Gaussian model for forecasting agricultural drought over China
Analysis of flash droughts in China using machine learning
Performance-based comparison of regionalization methods to improve the at-site estimates of daily precipitation
The use of personal weather station observations to improve precipitation estimation and interpolation
The 2018 northern European hydrological drought and its drivers in a historical perspective
Assimilating shallow soil moisture observations into land models with a water budget constraint
Emerging climate signals in the Lena River catchment: a non-parametric statistical approach
Near-0 °C surface temperature and precipitation type patterns across Canada
A universal multifractal approach to assessment of spatiotemporal extreme precipitation over the Loess Plateau of China
Significant spatial patterns from the GCM seasonal forecasts of global precipitation
Bayesian performance evaluation of evapotranspiration models based on eddy covariance systems in an arid region
Technical note: An improved Grassberger–Procaccia algorithm for analysis of climate system complexity
The influence of long-term changes in canopy structure on rainfall interception loss: a case study in Speulderbos, the Netherlands
Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data
Investigating water budget dynamics in 18 river basins across the Tibetan Plateau through multiple datasets
Does the GPM mission improve the systematic error component in satellite rainfall estimates over TRMM? An evaluation at a pan-India scale
Assessment of an ensemble seasonal streamflow forecasting system for Australia
Technical note: Combining quantile forecasts and predictive distributions of streamflows
Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes
Temporal and spatial changes of rainfall and streamflow in the Upper Tekezē–Atbara river basin, Ethiopia
Seasonal streamflow forecasting by conditioning climatology with precipitation indices
Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts
Flood triggering in Switzerland: the role of daily to monthly preceding precipitation
Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China
Explaining and forecasting interannual variability in the flow of the Nile River
Drought severity–duration–frequency curves: a foundation for risk assessment and planning tool for ecosystem establishment in post-mining landscapes
Characterising the space–time structure of rainfall in the Sahel with a view to estimating IDAF curves
Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types
Variability of extreme precipitation over Europe and its relationships with teleconnection patterns
Structural break or long memory: an empirical survey on daily rainfall data sets across Malaysia
Calibration of aerodynamic roughness over the Tibetan Plateau with Ensemble Kalman Filter analysed heat flux
Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods
Spectral representation of the annual cycle in the climate change signal
Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: identical twin experiments
Downscaling of surface moisture flux and precipitation in the Ebro Valley (Spain) using analogues and analogues followed by random forests and multiple linear regression
Emanuele Mombrini, Stefania Tamea, Alberto Viglione, and Roberto Revelli
Hydrol. Earth Syst. Sci., 29, 2255–2273, https://doi.org/10.5194/hess-29-2255-2025, https://doi.org/10.5194/hess-29-2255-2025, 2025
Short summary
Short summary
In northwestern Italy, overall drought conditions appear to have worsened over the last 60 years due to both precipitation deficits and increased evapotranspiration caused by temperature increases. In addition to changes in drought conditions, changes in the characteristics of drought periods, both at a local and at a region-wide level, are found. Links between all the aforementioned changes and terrain characteristics are highlighted, finding generally worse conditions in lower-lying areas.
James H. Stagge, Kyungmin Sung, Irenee Felix Munyejuru, and Md Atif Ibne Haidar
Hydrol. Earth Syst. Sci., 29, 719–732, https://doi.org/10.5194/hess-29-719-2025, https://doi.org/10.5194/hess-29-719-2025, 2025
Short summary
Short summary
The Standardized Precipitation Index (SPI) and related drought indices are used globally to measure drought severity. The index uses a predictable structure, which we leverage to determine the theoretical likelihood of a year with an extreme worse than a given threshold. We show these likelihoods differ by the length (number of months) and resolution (daily vs. monthly) of the index. This is important for drought managers when setting decision thresholds or when communicating risk to the public.
Yuan Liu, Yong Wang, Yong Zhao, Shouzhi Chen, Longhao Wang, Wenjing Yang, Xing Li, Xinxi Li, Huimin Lei, Huanyu Chang, Jiaqi Zhai, Yongnan Zhu, Qingming Wang, and Ting Ye
EGUsphere, https://doi.org/10.5194/egusphere-2024-3764, https://doi.org/10.5194/egusphere-2024-3764, 2025
Short summary
Short summary
In the real hydrological Earth system, the relationships between variables are not constant. This study employed advanced statistical models incorporating the physical mechanisms to examine how evaporation stress responds over time to key factors. We found that stronger soil drought effects can be expected undergoing rapid greening. It may enhance the comprehension of evaporation stress and help optimize parameters in Earth system models and promote greening initiatives.
Yuka Muto and Shunji Kotsuki
Hydrol. Earth Syst. Sci., 28, 5401–5417, https://doi.org/10.5194/hess-28-5401-2024, https://doi.org/10.5194/hess-28-5401-2024, 2024
Short summary
Short summary
It is crucial to improve global precipitation estimates to understand water-related disasters and water resources. This study proposes a new methodology to interpolate global precipitation fields from ground rain gauge observations using ensemble data assimilation and the precipitation of a numerical weather prediction model. Our estimates agree better with independent rain gauge observations than existing precipitation estimates, especially in mountainous or rain-gauge-sparse regions.
Lorenz Hänchen, Emily Potter, Cornelia Klein, Pierluigi Calanca, Fabien Maussion, Wolfgang Gurgiser, and Georg Wohlfahrt
EGUsphere, https://doi.org/10.5194/egusphere-2024-3263, https://doi.org/10.5194/egusphere-2024-3263, 2024
Short summary
Short summary
In semi-arid regions, the timing and duration of the rainy season are crucial for agriculture. This study introduces a new framework for improving estimations of start and end of the rainy season by testing how well they fit local vegetation data. We improve the performance of existing methods and present a new one with higher performance. Our findings can help to make informed decisions about water usage, and the framework can be applied to other regions as well.
Yan Li, Bo Huang, and Henning W. Rust
Hydrol. Earth Syst. Sci., 28, 321–339, https://doi.org/10.5194/hess-28-321-2024, https://doi.org/10.5194/hess-28-321-2024, 2024
Short summary
Short summary
The inconsistent changes in temperature and precipitation induced by forest cover change are very likely to affect drought condition. We use a set of statistical models to explore the relationship between forest cover change and drought change in different timescales and climate zones. We find that the influence of forest cover on droughts varies under different precipitation and temperature quantiles. Forest cover also could modulate the impacts of precipitation and temperature on drought.
Magdalena Uber, Michael Haller, Christoph Brendel, Gudrun Hillebrand, and Thomas Hoffmann
Hydrol. Earth Syst. Sci., 28, 87–102, https://doi.org/10.5194/hess-28-87-2024, https://doi.org/10.5194/hess-28-87-2024, 2024
Short summary
Short summary
We calculated past, present and future rainfall erosivity in central Europe from high-resolution precipitation data (3 km and 1 h) generated by the COSMO-CLM convection-permitting climate model. Future rainfall erosivity can be up to 84 % higher than it was in the past. Such increases are much higher than estimated previously from regional climate model output. Convection-permitting simulations have an enormous and, to date, unexploited potential for the calculation of future rainfall erosivity.
Yuanyuan Xiao, Shuiqing Yin, Bofu Yu, Conghui Fan, Wenting Wang, and Yun Xie
Hydrol. Earth Syst. Sci., 27, 4563–4577, https://doi.org/10.5194/hess-27-4563-2023, https://doi.org/10.5194/hess-27-4563-2023, 2023
Short summary
Short summary
An exceptionally heavy rainfall event occurred on 20 July 2021 in central China (the 7.20 storm). The storm presents a rare opportunity to examine the extreme rainfall erosivity. The storm, with an average recurrence interval of at least 10 000 years, was the largest in terms of its rainfall erosivity on record over the past 70 years in China. The study suggests that extreme erosive events can occur anywhere in eastern China and are not necessarily concentrated in low latitudes.
Sara M. Vallejo-Bernal, Frederik Wolf, Niklas Boers, Dominik Traxl, Norbert Marwan, and Jürgen Kurths
Hydrol. Earth Syst. Sci., 27, 2645–2660, https://doi.org/10.5194/hess-27-2645-2023, https://doi.org/10.5194/hess-27-2645-2023, 2023
Short summary
Short summary
Employing event synchronization and complex networks analysis, we reveal a cascade of heavy rainfall events, related to intense atmospheric rivers (ARs): heavy precipitation events (HPEs) in western North America (NA) that occur in the aftermath of land-falling ARs are synchronized with HPEs in central and eastern Canada with a delay of up to 12 d. Understanding the effects of ARs in the rainfall over NA will lead to better anticipating the evolution of the climate dynamics in the region.
Jiqing Li, Jing Huang, Lei Zheng, and Wei Zheng
Hydrol. Earth Syst. Sci., 27, 2325–2339, https://doi.org/10.5194/hess-27-2325-2023, https://doi.org/10.5194/hess-27-2325-2023, 2023
Short summary
Short summary
Under the joint action of climate–human activities the use of runoff data whose mathematical properties have changed has become the key to watershed management. To determine whether the data have been changed, the number and the location of changes, we proposed a change-point detection framework. The problem of determining the parameters of wavelet transform has been solved by comparing the accuracy of identifying change points. This study helps traditional models adapt to environmental changes.
Nele Reyniers, Timothy J. Osborn, Nans Addor, and Geoff Darch
Hydrol. Earth Syst. Sci., 27, 1151–1171, https://doi.org/10.5194/hess-27-1151-2023, https://doi.org/10.5194/hess-27-1151-2023, 2023
Short summary
Short summary
In an analysis of future drought projections for Great Britain based on the Standardised Precipitation Index and the Standardised Precipitation Evapotranspiration Index, we show that the choice of drought indicator has a decisive influence on the resulting projected changes in drought characteristics, although both result in increased drying. This highlights the need to understand the interplay between increasing atmospheric evaporative demand and drought impacts under a changing climate.
Dipanjan Dey, Aitor Aldama Campino, and Kristofer Döös
Hydrol. Earth Syst. Sci., 27, 481–493, https://doi.org/10.5194/hess-27-481-2023, https://doi.org/10.5194/hess-27-481-2023, 2023
Short summary
Short summary
One of the most striking and robust features of climate change is the acceleration of the atmospheric water cycle branch. Earlier studies were able to provide a quantification of the global atmospheric water cycle, but they missed addressing the atmospheric water transport connectivity within and between ocean basins and land. These shortcomings were overcome in the present study and presented a complete synthesised and quantitative view of the atmospheric water cycle.
Abbas El Hachem, Jochen Seidel, Florian Imbery, Thomas Junghänel, and András Bárdossy
Hydrol. Earth Syst. Sci., 26, 6137–6146, https://doi.org/10.5194/hess-26-6137-2022, https://doi.org/10.5194/hess-26-6137-2022, 2022
Short summary
Short summary
Through this work, a methodology to identify outliers in intense precipitation data was presented. The results show the presence of several suspicious observations that strongly differ from their surroundings. Many identified outliers did not have unusually high values but disagreed with their neighboring values at the corresponding time steps. Weather radar and discharge data were used to distinguish between single events and false observations.
Qihua Ran, Jin Wang, Xiuxiu Chen, Lin Liu, Jiyu Li, and Sheng Ye
Hydrol. Earth Syst. Sci., 26, 4919–4931, https://doi.org/10.5194/hess-26-4919-2022, https://doi.org/10.5194/hess-26-4919-2022, 2022
Short summary
Short summary
This study aims to further evaluate the relative importance of antecedent soil moisture and rainfall on flood generation and the controlling factors. The relative importance of antecedent soil moisture and daily rainfall present a significant correlation with drainage area; the larger the watershed, and the more essential the antecedent soil saturation rate is in flood generation, the less important daily rainfall will be.
Kyunghun Kim, Jaewon Jung, Hung Soo Kim, Masahiko Haraguchi, and Soojun Kim
Hydrol. Earth Syst. Sci., 26, 4823–4836, https://doi.org/10.5194/hess-26-4823-2022, https://doi.org/10.5194/hess-26-4823-2022, 2022
Short summary
Short summary
This study applied a new methodology (complex network), instead of using classic methods, to establish the relationships between rainfall events in large East Asian cities. The relationships show that western China and Southeast Asia have a lot of influence on each other. Moreover, it is confirmed that the relationships arise from the effect of the East Asian monsoon. In future, complex network may be able to be applied to analyze the concurrent relationships between extreme rainfall events.
Haijiang Wu, Xiaoling Su, Vijay P. Singh, Te Zhang, Jixia Qi, and Shengzhi Huang
Hydrol. Earth Syst. Sci., 26, 3847–3861, https://doi.org/10.5194/hess-26-3847-2022, https://doi.org/10.5194/hess-26-3847-2022, 2022
Short summary
Short summary
Agricultural drought forecasting lies at the core of overall drought risk management and is critical for food security and drought early warning. Using three-dimensional scenarios, we attempted to compare the agricultural drought forecast performance of a canonical vine copula (3C-vine) model and meta-Gaussian (MG) model over China. The findings show that the 3C-vine model exhibits more skill than the MG model when using 1– to 3-month lead times for forecasting agricultural drought.
Linqi Zhang, Yi Liu, Liliang Ren, Adriaan J. Teuling, Ye Zhu, Linyong Wei, Linyan Zhang, Shanhu Jiang, Xiaoli Yang, Xiuqin Fang, and Hang Yin
Hydrol. Earth Syst. Sci., 26, 3241–3261, https://doi.org/10.5194/hess-26-3241-2022, https://doi.org/10.5194/hess-26-3241-2022, 2022
Short summary
Short summary
In this study, three machine learning methods displayed a good detection capacity of flash droughts. The RF model was recommended to estimate the depletion rate of soil moisture and simulate flash drought by considering the multiple meteorological variable anomalies in the adjacent time to drought onset. The anomalies of precipitation and potential evapotranspiration exhibited a stronger synergistic but asymmetrical effect on flash droughts compared to slowly developing droughts.
Abubakar Haruna, Juliette Blanchet, and Anne-Catherine Favre
Hydrol. Earth Syst. Sci., 26, 2797–2811, https://doi.org/10.5194/hess-26-2797-2022, https://doi.org/10.5194/hess-26-2797-2022, 2022
Short summary
Short summary
Reliable prediction of floods depends on the quality of the input data such as precipitation. However, estimation of precipitation from the local measurements is known to be difficult, especially for extremes. Regionalization improves the estimates by increasing the quantity of data available for estimation. Here, we compare three regionalization methods based on their robustness and reliability. We apply the comparison to a dense network of daily stations within and outside Switzerland.
András Bárdossy, Jochen Seidel, and Abbas El Hachem
Hydrol. Earth Syst. Sci., 25, 583–601, https://doi.org/10.5194/hess-25-583-2021, https://doi.org/10.5194/hess-25-583-2021, 2021
Short summary
Short summary
In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.
Sigrid J. Bakke, Monica Ionita, and Lena M. Tallaksen
Hydrol. Earth Syst. Sci., 24, 5621–5653, https://doi.org/10.5194/hess-24-5621-2020, https://doi.org/10.5194/hess-24-5621-2020, 2020
Short summary
Short summary
This study provides an in-depth analysis of the 2018 northern European drought. Large parts of the region experienced 60-year record-breaking temperatures, linked to high-pressure systems and warm surrounding seas. Meteorological drought developed from May and, depending on local conditions, led to extreme low flows and groundwater drought in the following months. The 2018 event was unique in that it affected most of Fennoscandia as compared to previous droughts.
Bo Dan, Xiaogu Zheng, Guocan Wu, and Tao Li
Hydrol. Earth Syst. Sci., 24, 5187–5201, https://doi.org/10.5194/hess-24-5187-2020, https://doi.org/10.5194/hess-24-5187-2020, 2020
Short summary
Short summary
Data assimilation is a procedure to generate an optimal combination of the state variable in geoscience, based on the model outputs and observations. The ensemble Kalman filter (EnKF) scheme is a widely used assimilation method in soil moisture estimation. This study proposed several modifications of EnKF for improving this assimilation. The study shows that the quality of the assimilation result is improved, while the degree of water budget imbalance is reduced.
Eric Pohl, Christophe Grenier, Mathieu Vrac, and Masa Kageyama
Hydrol. Earth Syst. Sci., 24, 2817–2839, https://doi.org/10.5194/hess-24-2817-2020, https://doi.org/10.5194/hess-24-2817-2020, 2020
Short summary
Short summary
Existing approaches to quantify the emergence of climate change require several user choices that make these approaches less objective. We present an approach that uses a minimum number of choices and showcase its application in the extremely sensitive, permafrost-dominated region of eastern Siberia. Designed as a Python toolbox, it allows for incorporating climate model, reanalysis, and in situ data to make use of numerous existing data sources and reduce uncertainties in obtained estimates.
Eva Mekis, Ronald E. Stewart, Julie M. Theriault, Bohdan Kochtubajda, Barrie R. Bonsal, and Zhuo Liu
Hydrol. Earth Syst. Sci., 24, 1741–1761, https://doi.org/10.5194/hess-24-1741-2020, https://doi.org/10.5194/hess-24-1741-2020, 2020
Short summary
Short summary
This article provides a Canada-wide analysis of near-0°C temperature conditions (±2°C) using hourly surface temperature and precipitation type observations from 92 locations for the 1981–2011 period. Higher annual occurrences were found in Atlantic Canada, although high values also occur in other regions. Trends of most indicators show little or no change despite a systematic warming over Canada. A higher than expected tendency for near-0°C conditions was also found at some stations.
Jianjun Zhang, Guangyao Gao, Bojie Fu, Cong Wang, Hoshin V. Gupta, Xiaoping Zhang, and Rui Li
Hydrol. Earth Syst. Sci., 24, 809–826, https://doi.org/10.5194/hess-24-809-2020, https://doi.org/10.5194/hess-24-809-2020, 2020
Short summary
Short summary
We proposed an approach that integrates universal multifractals and a segmentation algorithm to precisely identify extreme precipitation (EP) and assess spatiotemporal EP variation over the Loess Plateau, using daily data. Our results explain how EP contributes to the widely distributed severe natural hazards. These findings are of great significance for ecological management in the Loess Plateau. Our approach is also helpful for spatiotemporal EP assessment at the regional scale.
Tongtiegang Zhao, Wei Zhang, Yongyong Zhang, Zhiyong Liu, and Xiaohong Chen
Hydrol. Earth Syst. Sci., 24, 1–16, https://doi.org/10.5194/hess-24-1-2020, https://doi.org/10.5194/hess-24-1-2020, 2020
Guoxiao Wei, Xiaoying Zhang, Ming Ye, Ning Yue, and Fei Kan
Hydrol. Earth Syst. Sci., 23, 2877–2895, https://doi.org/10.5194/hess-23-2877-2019, https://doi.org/10.5194/hess-23-2877-2019, 2019
Short summary
Short summary
Accurately evaluating evapotranspiration (ET) is a critical challenge in improving hydrological process modeling. Here we evaluated four ET models (PM, SW, PT–FC, and AA) under the Bayesian framework. Our results reveal that the SW model has the best performance. This is in part because the SW model captures the main physical mechanism in ET; the other part is that the key parameters, such as the extinction factor, could be well constrained with observation data.
Chongli Di, Tiejun Wang, Xiaohua Yang, and Siliang Li
Hydrol. Earth Syst. Sci., 22, 5069–5079, https://doi.org/10.5194/hess-22-5069-2018, https://doi.org/10.5194/hess-22-5069-2018, 2018
Short summary
Short summary
The original Grassberger–Procaccia algorithm for complex analysis was modified by incorporating the normal-based K-means clustering technique and the RANSAC algorithm. The calculation accuracy of the proposed method was shown to outperform traditional algorithms. The proposed algorithm was used to diagnose climate system complexity in the Hai He basin. The spatial patterns of the complexity of precipitation and air temperature reflected the influence of the dominant climate system.
César Cisneros Vaca, Christiaan van der Tol, and Chandra Prasad Ghimire
Hydrol. Earth Syst. Sci., 22, 3701–3719, https://doi.org/10.5194/hess-22-3701-2018, https://doi.org/10.5194/hess-22-3701-2018, 2018
Short summary
Short summary
The influence of long-term changes in canopy structure on rainfall interception loss was studied in a 55-year old forest. Interception loss was similar at the same site (38 %), when the forest was 29 years old. In the past, the forest was denser and had a higher storage capacity, but the evaporation rates were lower. We emphasize the importance of quantifying downward sensible heat flux and heat release from canopy biomass in tall forest in order to improve the quantification of evaporation.
Sojung Park, Seon Ki Park, Jeung Whan Lee, and Yunho Park
Hydrol. Earth Syst. Sci., 22, 3435–3452, https://doi.org/10.5194/hess-22-3435-2018, https://doi.org/10.5194/hess-22-3435-2018, 2018
Short summary
Short summary
Understanding the precipitation characteristics is essential to design an optimal observation network. We studied the spatial and temporal characteristics of summertime precipitation systems in Korea via geostatistical analyses on the ground-based precipitation and satellite water vapor data. We found that, under a strict standard, an observation network with higher resolution is required in local areas with frequent heavy rainfalls, depending on directional features of precipitation systems.
Wenbin Liu, Fubao Sun, Yanzhong Li, Guoqing Zhang, Yan-Fang Sang, Wee Ho Lim, Jiahong Liu, Hong Wang, and Peng Bai
Hydrol. Earth Syst. Sci., 22, 351–371, https://doi.org/10.5194/hess-22-351-2018, https://doi.org/10.5194/hess-22-351-2018, 2018
Short summary
Short summary
The dynamics of basin-scale water budgets over the Tibetan Plateau (TP) are not well understood nowadays due to the lack of hydro-climatic observations. In this study, we investigate seasonal cycles and trends of water budget components (e.g. precipitation P, evapotranspiration ET and runoff Q) in 18 TP river basins during the period 1982–2011 through the use of multi-source datasets (e.g. in situ observations, satellite retrievals, reanalysis outputs and land surface model simulations).
Harsh Beria, Trushnamayee Nanda, Deepak Singh Bisht, and Chandranath Chatterjee
Hydrol. Earth Syst. Sci., 21, 6117–6134, https://doi.org/10.5194/hess-21-6117-2017, https://doi.org/10.5194/hess-21-6117-2017, 2017
Short summary
Short summary
High-quality satellite precipitation forcings have provided a viable alternative to hydrologic modeling in data-scarce regions. Ageing TRMM sensors have recently been upgraded to GPM, promising enhanced spatio-temporal resolutions. Statistical and hydrologic evaluation of GPM measurements across 86 Indian river basins revealed improved low rainfall estimates with reduced effects of climatology and topography.
James C. Bennett, Quan J. Wang, David E. Robertson, Andrew Schepen, Ming Li, and Kelvin Michael
Hydrol. Earth Syst. Sci., 21, 6007–6030, https://doi.org/10.5194/hess-21-6007-2017, https://doi.org/10.5194/hess-21-6007-2017, 2017
Short summary
Short summary
We assess a new streamflow forecasting system in Australia. The system is designed to meet the need of water agencies for 12-month forecasts. The forecasts perform well in a wide range of rivers. Forecasts for shorter periods (up to 6 months) are generally informative. Forecasts sometimes did not perform well in a few very dry rivers. We test several techniques for improving streamflow forecasts in drylands, with mixed success.
Konrad Bogner, Katharina Liechti, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 21, 5493–5502, https://doi.org/10.5194/hess-21-5493-2017, https://doi.org/10.5194/hess-21-5493-2017, 2017
Short summary
Short summary
The enhanced availability of many different weather prediction systems nowadays makes it very difficult for flood and water resource managers to choose the most reliable and accurate forecast. In order to circumvent this problem of choice, different approaches for combining this information have been applied at the Sihl River (CH) and the results have been verified. The outcome of this study highlights the importance of forecast combination in order to improve the quality of forecast systems.
Matthew B. Switanek, Peter A. Troch, Christopher L. Castro, Armin Leuprecht, Hsin-I Chang, Rajarshi Mukherjee, and Eleonora M. C. Demaria
Hydrol. Earth Syst. Sci., 21, 2649–2666, https://doi.org/10.5194/hess-21-2649-2017, https://doi.org/10.5194/hess-21-2649-2017, 2017
Short summary
Short summary
The commonly used bias correction method called quantile mapping assumes a constant function of error correction values between modeled and observed distributions. Our article finds that this function cannot be assumed to be constant. We propose a new bias correction method, called scaled distribution mapping, that does not rely on this assumption. Furthermore, the proposed method more explicitly accounts for the frequency of rain days and the likelihood of individual events.
Tesfay G. Gebremicael, Yasir A. Mohamed, Pieter v. Zaag, and Eyasu Y. Hagos
Hydrol. Earth Syst. Sci., 21, 2127–2142, https://doi.org/10.5194/hess-21-2127-2017, https://doi.org/10.5194/hess-21-2127-2017, 2017
Short summary
Short summary
This study was conducted to understand the spatio-temporal variations of streamflow in the Tekezē basin. Results showed rainfall over the basin did not significantly change. However, streamflow experienced high variabilities at seasonal and annual scales. Further studies are needed to verify hydrological changes by identifying the physical mechanisms behind those changes. Findings are useful as prerequisite for studying the effects of catchment management dynamics on the hydrological processes.
Louise Crochemore, Maria-Helena Ramos, Florian Pappenberger, and Charles Perrin
Hydrol. Earth Syst. Sci., 21, 1573–1591, https://doi.org/10.5194/hess-21-1573-2017, https://doi.org/10.5194/hess-21-1573-2017, 2017
Short summary
Short summary
The use of general circulation model outputs for streamflow forecasting has developed in the last decade. In parallel, traditional streamflow forecasting is commonly based on historical data. This study investigates the impact of conditioning historical data based on circulation model precipitation forecasts on seasonal streamflow forecast quality. Results highlighted a trade-off between the sharpness and reliability of forecasts.
Louise Crochemore, Maria-Helena Ramos, and Florian Pappenberger
Hydrol. Earth Syst. Sci., 20, 3601–3618, https://doi.org/10.5194/hess-20-3601-2016, https://doi.org/10.5194/hess-20-3601-2016, 2016
Short summary
Short summary
This study investigates the way bias correcting precipitation forecasts can improve the skill of streamflow forecasts at extended lead times. Eight variants of bias correction approaches based on the linear scaling and the distribution mapping methods are applied to the precipitation forecasts prior to generating the streamflow forecasts. One of the main results of the study is that distribution mapping of daily values is successful in improving forecast reliability.
P. Froidevaux, J. Schwanbeck, R. Weingartner, C. Chevalier, and O. Martius
Hydrol. Earth Syst. Sci., 19, 3903–3924, https://doi.org/10.5194/hess-19-3903-2015, https://doi.org/10.5194/hess-19-3903-2015, 2015
Short summary
Short summary
We investigate precipitation characteristics prior to 4000 annual floods in Switzerland since 1961. The floods were preceded by heavy precipitation, but in most catchments extreme precipitation occurred only during the last 3 days prior to the flood events. Precipitation sums for earlier time periods (like e.g. 4-14 days prior to floods) were mostly average and do not correlate with the return period of the floods.
G. H. Fang, J. Yang, Y. N. Chen, and C. Zammit
Hydrol. Earth Syst. Sci., 19, 2547–2559, https://doi.org/10.5194/hess-19-2547-2015, https://doi.org/10.5194/hess-19-2547-2015, 2015
Short summary
Short summary
This study compares the effects of five precipitation and three temperature correction methods on precipitation, temperature, and streamflow through loosely coupling RCM (RegCM) and a distributed hydrological model (SWAT) in terms of frequency-based indices and time-series-based indices. The methodology and results can be used for other regions and other RCM and hydrologic models, and for impact studies of climate change on water resources at a regional scale.
M. S. Siam and E. A. B. Eltahir
Hydrol. Earth Syst. Sci., 19, 1181–1192, https://doi.org/10.5194/hess-19-1181-2015, https://doi.org/10.5194/hess-19-1181-2015, 2015
Short summary
Short summary
This paper explains the different natural modes of interannual variability in the flow of the Nile River and also presents a new index based on the sea surface temperature (SST) over the southern Indian Ocean to forecast the flow of the Nile River. It also presents a new hybrid forecasting algorithm that can be used to predict the Nile flow based on indices of the SST in the eastern Pacific and southern Indian oceans.
D. Halwatura, A. M. Lechner, and S. Arnold
Hydrol. Earth Syst. Sci., 19, 1069–1091, https://doi.org/10.5194/hess-19-1069-2015, https://doi.org/10.5194/hess-19-1069-2015, 2015
G. Panthou, T. Vischel, T. Lebel, G. Quantin, and G. Molinié
Hydrol. Earth Syst. Sci., 18, 5093–5107, https://doi.org/10.5194/hess-18-5093-2014, https://doi.org/10.5194/hess-18-5093-2014, 2014
D. Masson and C. Frei
Hydrol. Earth Syst. Sci., 18, 4543–4563, https://doi.org/10.5194/hess-18-4543-2014, https://doi.org/10.5194/hess-18-4543-2014, 2014
Short summary
Short summary
The question of how to utilize information from the physiography/topography in the spatial interpolation of rainfall is a long-standing discussion in the literature. In this study we test ideas that go beyond the approach in popular interpolation schemes today. The key message of our study is that these ideas can at best marginally improve interpolation accuracy, even in a region where a clear benefit would intuitively be expected.
A. Casanueva, C. Rodríguez-Puebla, M. D. Frías, and N. González-Reviriego
Hydrol. Earth Syst. Sci., 18, 709–725, https://doi.org/10.5194/hess-18-709-2014, https://doi.org/10.5194/hess-18-709-2014, 2014
F. Yusof, I. L. Kane, and Z. Yusop
Hydrol. Earth Syst. Sci., 17, 1311–1318, https://doi.org/10.5194/hess-17-1311-2013, https://doi.org/10.5194/hess-17-1311-2013, 2013
J. H. Lee, J. Timmermans, Z. Su, and M. Mancini
Hydrol. Earth Syst. Sci., 16, 4291–4302, https://doi.org/10.5194/hess-16-4291-2012, https://doi.org/10.5194/hess-16-4291-2012, 2012
L. Gudmundsson, J. B. Bremnes, J. E. Haugen, and T. Engen-Skaugen
Hydrol. Earth Syst. Sci., 16, 3383–3390, https://doi.org/10.5194/hess-16-3383-2012, https://doi.org/10.5194/hess-16-3383-2012, 2012
T. Bosshard, S. Kotlarski, T. Ewen, and C. Schär
Hydrol. Earth Syst. Sci., 15, 2777–2788, https://doi.org/10.5194/hess-15-2777-2011, https://doi.org/10.5194/hess-15-2777-2011, 2011
S. Nie, J. Zhu, and Y. Luo
Hydrol. Earth Syst. Sci., 15, 2437–2457, https://doi.org/10.5194/hess-15-2437-2011, https://doi.org/10.5194/hess-15-2437-2011, 2011
G. Ibarra-Berastegi, J. Saénz, A. Ezcurra, A. Elías, J. Diaz Argandoña, and I. Errasti
Hydrol. Earth Syst. Sci., 15, 1895–1907, https://doi.org/10.5194/hess-15-1895-2011, https://doi.org/10.5194/hess-15-1895-2011, 2011
Cited articles
Cancelliere, A., Mauro, G. D., Bonaccorso, B., and Rossi, G.: Drought forecasting using the Standardized Precipitation Index, Water Resour. Manage., 21, 801–819, 2007.
Cheng, Z., Xu, M., Luo, L. S., and Ding, X. J.: Climate characteristics of drought-flood abrupt change events in Huai River basin, J. China Hydrol., 32, 73–79, 2012 (in Chinese).
Dai, A., Trenberth, K. E., and Qian, T. T.: A global dataset of Palmer Drought Severity Index for 1870–2002: relationship with soil moisture and effects of surface warming, J. Hydrometeorol., 5, 1117–1130, 2004.
Feng, P., Wang, Z. J., and Yang, P.: Analysis on the drought character of Hai River basin, Water Resour. Hydropower Engin., 34, 33–35, 2003 (in Chinese).
Gu, Y. X., Brown, J. F., Verdin, J. P., and Wardlow, B.: A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States, Geophys. Res. Lett., 34, L06407, https://doi.org/10.1029/2006GL029127, 2007.
Kohonen, T.: Self-Organizing Maps, 3rd Edn., Berlin: Springer-Verlag, 2001.
\L ab\kedzki, L.: Estimation of local drought frequency in central Poland using the standardized precipitation index SPI, Irrig. Drain., 56, 67–77, 2007.
Marengo, J. A., Jones, R., Alves, L. M., and Valverde, M. C.: Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system, Int. J. Climatol., 29, 2241–2255, 2009.
Murthy, C. S., Sesha Sai, M. V. R., Bhanuja Kumari, V., and Roy, P. S.: Agricultural drought assessment at disaggregated level using AWiFS/WiFS data of Indian Remote Sensing satellites, Geocarto Int., 22, 127–140, 2007.
Narasimhan, B. and Srinivasan, R.: Development and evaluation of soil moisture deficit index (SMDI) and evapotranspiration deficit index (ETDI) for agriculture drought monitoring, Agr. Forest Meteorol., 133, 69–88, 2005.
Palmer, W. C.: Meteorological drought, Research Paper 45, US Dept. of Commerce, Weather Bureau, Washington D.C., 58 pp., 1965.
Parry, M. L., Canziani, O. F., Palutikof, J. P., van der Linden, P. J., and Hanson, C. E. (Eds.): Climate Change 2007: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, 982 pp., 2007.
Parthasarathy, B., Sontakke, N. A., Monot, A. A., and Kothawale, D. R.: Droughts/floods in the summer monsoon season over different meteorological subdivisions of India for the period 1871–1984, Int. J. Climatol., 7, 57–70, 1987.
Peng, G. H., Xia, J., Ma, X. F., and Ma, J. Q.: Analysis on drought frequency distribution and digital characteristics of number of turns of the Yellow River basin, Yellow River, 33, 3–5, 2011 (in Chinese).
Shao, X. M., Yan, C. R., and Wei, H. B.: Spatial and temporal structure of precipitation in the Yellow River basin based on Kriging method, Chinese J. Agrometeorol., 27, 65–69, 2006 (in Chinese).
Tang, M., Shao, D. G., and Yao, C. L.: Causes and countermeasures of sudden changing from drought to waterlogging in Huaibei region, J. China Inst. Water Resour. Hydropower Res., 5, 26–32, 2007 (in Chinese).
Wang, S., Tian, H., Ding, X. J., Xie, W. S., and Tao, Y.: Climate characteristics of precipitation and phenomenon of drought-flood abrupt alternation during main flood season in Huai River basin, Chinese J. Agrometeorol., 30, 31–34, 2009 (in Chinese).
Xiao, J. X., Mu, B., and Hu, F.: Agricultural meteorology, Higher Education Press, Beijing, p. 93, 2009 (in Chinese).
Yang, Z. H. and Yang, Y.: Research and development of self-organizing maps algorithm, Comput. Eng., 32, 201–228, 2006 (in Chinese).
Zhai, L. X. and Feng, Q.: Dryness/wetness climate variation based on standardized precipitation index in Northwest China, J. Nat. Resour., 26, 847–857, 2011 (in Chinese).
Zhang, P., Wang, F. H., Wu, Z. L., and Zhu, Z.: Analysis on the climatic laws of drought-flood abrupt change in the Huaibei City, Express Water Resour. Hydropower Inf., 29, 139–140, 2008 (in Chinese).
Zhang, Q., Xu, C. Y., and Zhang, Z. X.: Observed changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity index, Theor. Appl. Climatol., 98, 89–99, 2009.
Zhao, L., Wu, J. J., Lü, A. F., Liu, X. L., and Liu, M.: Spatial and temporal analysis of drought over the Huang-Huai-Hai Plain and its surroundings based on the Standardized Precipitation Index, Resour. Sci., 33, 468–476, 2011 (in Chinese).
Zhou, L. Y., Wang, Y. Q., Ma, J. X., Zhang, L., and Fan, S. Y.: Numerical study on the mechanism of summer flood and drought in Northern Northeast China, J. Nanjing Institute Meteorol., 24, 127–136, 2001 (in Chinese).
