Article
Environmental Sciences
Hongxiang Yan, Ning Sun, Aimee Fullerton, Matthew Baerwalde
Summary: The study highlights the significant impact of cold snowmelt on river temperatures in mountainous river systems, especially in the context of warming climate. Future climate change may lead to larger temperature increases in river reaches in high-elevation snow-dominated areas, primarily due to the influences of rising temperatures and decreased snowfall.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Zaharaddeen Isa, Bulus Ajiya Sawa, Auwal F. Abdussalam, Muktar Ibrahim, Abu-Hanifa Babati, Bashariya Mustapha Baba, Adamu Yunusa Ugya
Summary: This study examined the impact of climate change on climate extreme indices in the Kaduna River basin, Nigeria, using global climate models and statistical downscaling models. The findings showed a significant warming trend in temperature indices and a moderate variability with insignificant decreasing trend in rainfall indices. The study also revealed the periodicity pattern of climate extreme indices is related to atmospheric phenomena, indicating the impact of climate change.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Lianhuan Zhu, Weizhen Kang, Wei Li, Jing-Jia Luo, Yingqi Zhu
Summary: This study introduces four statistical bias correction methods to correct the simulated daily precipitation in the Yangtze-Huaihe River Basin in China. The performance of these methods in reproducing the probability distribution of observed precipitation and extremes is evaluated. Results show that quantile mapping (QM) has the most significant improvement in simulating the probability distributions of daily precipitation, while linear scaling (LS), distribution mapping (DM), and cumulative distribution function transform (CDFt) perform well in total precipitation and moderate rainy days. Only QM can reduce the biases of rainfall days, precipitation intensity, and 95% quantile precipitation simultaneously. However, DM is less effective in characterizing the probability distribution of model-simulated precipitation, especially for heavy precipitation.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou, Konstantinos Voudouris
Summary: This study investigates the dilemma of using climate datasets for hydrological simulations and explores the impact of the order of bias correction and spatio-temporal interpolation on simulation accuracy. By comparing different datasets and conducting statistical analyses and hydrological simulations, the study finds that bias correction followed by spatio-temporal interpolation results in high correlation with reference data. This research provides a useful roadmap for preparing gridded climate change data for hydrological modeling.
Article
Meteorology & Atmospheric Sciences
Guojin Pang, Xuejia Wang, Deliang Chen, Meixue Yang, Lanya Liu
Summary: This study evaluated the downscaled climate simulations over the Yellow River Basin using REMO and ERA-Interim reanalysis data. The results showed that REMO reproduced the spatial patterns of mean temperature satisfactorily, but had a wet bias in terms of precipitation. Observational data indicated significant warming trends across all four seasons, while REMO simulated weaker warming trends.
ATMOSPHERIC RESEARCH
(2021)
Article
Water Resources
Priyanko das, Zhenke Zhang, Hang Ren
Summary: This study evaluates the performance of four bias correction methods based on CORDEX domain six regional climate models in the Mara River Basin and finds that distribution mapping techniques have strong performance. The results from bias-adjusted RCMs show an increase of rainfall and temperature in the future climate. Additionally, the random forest method demonstrates good capacity for reproducing future climate variables.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Engineering, Civil
Reyhaneh Rahimi, Hassan Tavakol-Davani, Mohsen Nasseri
Summary: This research introduces a new framework to evaluate the parametric uncertainty of downscaling models, and assesses the performance of different bias correction methods. The results show that LOCI and PT outperform the conventional VIF in both precipitation amount and occurrence modules in every assessed climate class within the SDSM framework.
WATER RESOURCES MANAGEMENT
(2021)
Article
Water Resources
Srisunee Wuthiwongtyohtin
Summary: This study investigates various statistical bias correction techniques for improving output from a regional climate model in the upper Ping River Basin in Northern Thailand. Results indicate that a combination of nonparametric transformation and monthly subsampling offers the best accuracy and robustness in correcting daily rainfall bias errors.
JOURNAL OF WATER AND CLIMATE CHANGE
(2021)
Article
Environmental Sciences
Tian Yang, Xiao Yang, Chao Jia
Summary: In this study, the authors analyzed the climate variables and hydrological factors in the Beiluo River Basin, China using geostatistical and trend analysis. They also assessed land use/cover change (LUCC) using chord diagrams and quantified the contributions of climate change and human activities to runoff change. The results showed significant increases in annual precipitation and actual evapotranspiration, a minor upward trend in annual runoff, and a slight decrease in annual potential evapotranspiration. Climate variables were found to be the primary contributor to runoff decrease, while human activities, linked to increasing LUCC, accounted for runoff change in later years. This study provides a theoretical basis for regional water resource management under the influence of climate change and human activities.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Wenxian Guo, Fengtian Hong, Baoliang Wang, Weiqi Yuan, Gaozhen Wang, Siyuan Cheng, Hongxiang Wang
Summary: This study assesses the impact of human disturbance and climate change on ecological flow in the Xiangjiang River basin, and finds that changes in river flow lead to a decrease in riverine biodiversity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Civil
Sabab Ali Shah, Muhammad Jehanzaib, Joo-Heon Lee, Tae-Woong Kim
Summary: This study used hydrological modeling techniques and statistical methods to determine that both climate change and human activities impact river streamflow conditions. The results indicate that human activities have a greater influence than climate variability, altering the water conditions in the basin.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Multidisciplinary Sciences
Ya Huang, Weihua Xiao, Baodeng Hou, Yuyan Zhou, Guibing Hou, Ling Yi, Hao Cui
Summary: Understanding the impacts of climate change on runoff in the upper reaches of the Yangtze River, including changes in precipitation, temperature, and river flows, reveals a tendency towards warmer and drier conditions in the eastern UYRB and warmer and more humid conditions in the western UYBR. Decreased precipitation and increased temperatures are forecasted, leading to reduced snowmelt runoff contribution to annual runoff. Areas of reduced runoff depth are mainly concentrated in the southeast, driven by decreased precipitation, while decreased runoff depth in the northwest is mainly driven by increased evaporation.
SCIENTIFIC REPORTS
(2021)
Article
Meteorology & Atmospheric Sciences
Youngil Kim, Jason P. Evans, Ashish Sharma
Summary: To improve modeling capacities, a better understanding of physical relationships and higher skill climate models are needed. Regional Climate Models (RCMs) are commonly used to resolve finer scales, but their application is restricted by systematic biases within Global Climate Models (GCMs) datasets. Hence, it is advisable to remove these biases in GCM simulations prior to downscaling. Various techniques have been formulated to correct the biases, but most correct each variable independently, leading to physical inconsistencies. This study investigates bias corrections ranging from simple to complex techniques and shows that applying bias correction to RCM boundaries significantly improves model performance, with multivariate bias correction better representing extreme events.
Article
Water Resources
Jun Hou, Denghua Yan, Tianling Qin, Shanshan Liu, Xizhi Lv, Jianwei Wang, Sheng Yan, Xin Zhang, Chenhao Li, Sintayehu A. Abebe, Zhilei Yu
Summary: This research aims to spatially identify the contributions of different driving factors to natural runoff variation. The Water and Energy Transfer Process model was used to simulate runoff for 2044 sub-basins. The study revealed declining trends in annual natural runoff in 90.66% of sub-basins and flood-season runoff in 45.99% of sub-basins. The primary driver of natural runoff change was climatic variation, with a contribution rate of 69.32% for annual runoff and 71.51% for flood-season runoff. This research provides valuable insights for water and land resource development and regulation in the Yiluo River Basin.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Meteorology & Atmospheric Sciences
Dipak Mudbhari, Mitthan Lal Kansal, Praveen Kalura
Summary: The Hindu Kush Himalaya region in Nepal is vulnerable to climate change, and this study assesses the impact of climate change on water availability using the SWAT model. The study reveals that temperatures in the Marsyangdi river basin will increase significantly in the future, while rainfall will decrease.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Tiantian Yang, Yumeng Tao, Jingjing Li, Qian Zhu, Lu Su, Xiaojia He, Xiaoming Zhang
THEORETICAL AND APPLIED CLIMATOLOGY
(2018)
Article
Environmental Sciences
Qian Zhu, Yulin Luo, Yue-Ping Xu, Ye Tian, Tiantian Yang
Article
Water Resources
Qian Zhu, Xichao Gao, Yue-Ping Xu, Ye Tian
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2019)
Article
Environmental Sciences
Qian Zhu, Yulin Luo, Dongyang Zhou, Yue-Ping Xu, Guoqing Wang, Haiying Gao
Article
Meteorology & Atmospheric Sciences
Li Liu, Chao Gao, Qian Zhu, Yue-Ping Xu
JOURNAL OF METEOROLOGICAL RESEARCH
(2019)
Article
Environmental Sciences
Di Ma, Yue-Ping Xu, Haiting Gu, Qian Zhu, Zhilin Sun, Weidong Xuan
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Engineering, Civil
Xichao Gao, Ming Guo, Zhiyong Yang, Qian Zhu, Zhi Xu, Kai Gao
JOURNAL OF HYDROLOGY
(2020)
Article
Water Resources
Qian Zhu, Dongyang Zhou, Yulin Luo, Yue-Ping Xu, Guoqing Wang, Xichao Gao
Summary: Satellite-based precipitation products, particularly the IMERG-F product, show the best performance in flood simulation and hourly streamflow simulation in a humid region of China. The TMPA 3B42RT product generally performs better than IMERG-E and IMERG-L, with overall acceptable performance in hydrological simulations at hourly scale. The simulated peak flows are usually smaller than observed, and the simulated time lags of occurrence are variable.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2021)
Article
Water Resources
Qian Zhu, Yushi Wang, Yulin Luo
Summary: The study showed that SVM with meteorological inputs performs well for surface soil moisture prediction but poorly for root zone layers, while adding SMAP can significantly improve its performance. Coupling dual EnKF can greatly enhance the performance of SVM in both surface and root zone soil moisture prediction. SVM-EnKF can eliminate the influence of extreme values from remote sensing soil moisture products, therefore improving accuracy.
HYDROLOGICAL PROCESSES
(2021)
Article
Engineering, Civil
Hao Zhang, Jie Ding, Yushi Wang, Dongyang Zhou, Qian Zhu
Summary: This study investigates the correlation and propagation of meteorological, agricultural, and groundwater droughts in the Yangtze River Basin and Yellow River Basin in China. Results show different drought conditions and trends in the two basins, with the aggravation of groundwater drought in the Yellow River Basin. Groundwater extraction is identified as a major factor in worsening groundwater drought, contrasting with the main contributor to agricultural drought being the propagation of meteorological drought.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Lujun Zhang, Taereem Kim, Tiantian Yang, Yang Hong, Qian Zhu
Summary: The study comprehensively evaluates the S2S precipitation forecasts from the NMME-2 dataset over the contiguous United States from 1982 to 2011, finding biases in different seasons and regions but decreasing skill with longer lead times. Simple model averaging (SMA) demonstrated higher forecast skill than individual NMME-2 models. Coasts in the Western U.S. showed the highest forecast skill scores with a one-week lead time, and NMME-2 performed better in predicting extreme precipitation events compared to historical resampled forecasts.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Qian Zhu, Hao Zhang
Summary: By investigating and comparing the characteristics of groundwater drought and its influencing factors in regions with different climate conditions, it is found that P-ET and land use change play crucial roles in groundwater drought, while teleconnection factors also have significant impacts on its evolution.
JOURNAL OF HYDROLOGY
(2022)
Article
Water Resources
Jie Ding, Qian Zhu
Summary: This study evaluates the accuracy of multisource evapotranspiration (ET) products in the Xiang River Basin and investigates their applicability in streamflow simulation. The results show that GLEAM has the lowest relative uncertainty and performs the best in comparison with benchmark ET products. Multisource ET products can be used as alternative variables for streamflow simulation in this basin.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2022)
Article
Geosciences, Multidisciplinary
Xichao Gao, Zhiyong Yang, Dawei Han, Kai Gao, Qian Zhu
Summary: The study investigates the influence of wind on the rainfall-runoff relationship in urban high-rise building areas and proposes a theoretical framework to describe their relationship, which is validated through laboratory experiments. The results show that the runoff coefficient increases with wind speed, and the effect of wind on rainfall with larger droplets is less significant compared to rainfall with smaller droplets.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Geosciences, Multidisciplinary
Qian Zhu, Yulin Luo, Dongyang Zhou, Yue-Ping Xu, Guoqing Wang, Ye Tian
Summary: The study utilized support vector machine with new input combinations for prediction, showing that specific input combinations performed better for soil moisture and SWDI forecasting among in situ and remote sensing products.
