Article
Water Resources
Songnan Liu, Jun Wang, Jiangfeng Wei, Huijun Wang
Summary: This study applied the WRF-Hydro distributed hydrological model to the Xijiang River basin in South China, finding that larger basins are more sensitive to base flow parameters and that the model can simulate various hydrological variables. The trends of streamflow in the basin are spatially uneven, with different behaviors in different parts of the basin.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Engineering, Civil
Ioannis Sofokleous, Adriana Bruggeman, Corrado Camera, Marinos Eliades
Summary: This study aims to analyze the impact of various parameters on water balance components, improve baseflow and transpiration equations, and calibrate distributed model parameters using a grid-based approach. The results show that the improved model can better simulate evapotranspiration and groundwater losses, but more processes need to be considered in dry years.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Lian Liu, Massimo Menenti, Yaoming Ma
Summary: This study evaluates the performance of the albedo parameterization scheme in the WRF model and finds that applying a reasonable glacial albedo scheme and corrected land cover can effectively simulate glacio-meteorological variables. The improved glacial albedo scheme helps relieve underestimations of net shortwave radiation and net radiation.
Article
Meteorology & Atmospheric Sciences
Guo Zhang, Jianduo Li, Guangsheng Zhou, Xitian Cai, Wenhua Gao, Xindong Peng, Yueli Chen
Summary: This study implemented a mosaic representation of land use/land cover in Noah-MP to investigate its effects on skin temperature and energy fluxes over China, finding that the mosaic method generally outperformed the default method, especially in urban regions. The mosaic method mainly affected temperature and energy fluxes by changing leaf area index and soil moisture, with a larger effect observed in warm and relatively humid climate regimes. Additionally, the mosaic method reduced discrepancies among different horizontal resolutions, particularly in heterogeneous vegetated and urban regions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Engineering, Civil
Wei Wang, Jia Liu, Bin Xu, Chuanzhe Li, Yuchen Liu, Fuliang Yu
Summary: The study improved the structure of WRF-Hydro to better adapt to the complex rainfall-runoff transformation mechanism, and achieved better performance of the model by introducing new infiltration equation and river channel leakage loss. In the case studies of typical rainstorm events, the results showed that the improved model had better performance in simulating floods, but there was room for improvement in simulating low peaks.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Chenxiang Ju, Huoqing Li, Man Li, Zonghui Liu, Yufen Ma, Ali Mamtimin, Mingjing Sun, Yating Song
Summary: By evaluating the Noah and Noah-MP land surface schemes in the Central Asia arid region, it was found that the Noah-MP model performs better in simulating soil temperature and soil moisture compared to the Noah model, but has decreased performance in simulating 10-m wind speed and 2-m air temperature.
Article
Agriculture, Multidisciplinary
Lingxue Yu, Ye Liu, Tingxiang Liu, Entao Yu, Kun Bu, Qingyu Jia, Lidu Shen, Xingming Zheng, Shuwen Zhang
Summary: This study examines the simulation of crop growth and yield in Northeast China by coupling crop models with climate models. The results show that the coupled model improves the accuracy of crop phenology simulation and enhances the performance of crop growth simulation. Adjusting crop parameters further improves the simulation results. This research is important for ensuring future crop growth and food security.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Sijal Dangol, Xuesong Zhang, Xin-Zhong Liang, Martha Anderson, Wade Crow, Sangchul Lee, Glenn E. Moglen, Gregory W. McCarty
Summary: This study calibrated the Soil and Water Assessment Tool (SWAT) model using streamflow data and remotely sensed hydrologic variables. The results show that adding remotely sensed ET and soil moisture to streamflow for calibration can impact the sensitive parameters of the model, but it does not necessarily improve its performance. Using remote sensing data alone leads to a deterioration in model performance. Different choices of remote sensing data for calibration also result in noticeable differences in simulated hydrologic processes. The comparison between SWAT and SWAT-Carbon models under different calibration setups reveals significant differences in their performance.
Article
Meteorology & Atmospheric Sciences
Lian Liu, Massimo Menenti, Yaoming Ma, Weiqiang Ma
Summary: This study successfully improved the performance of climate models on the Tibetan Plateau by enhancing the albedo scheme, leading to reduced errors and a more accurate representation of snow distribution and maximum values. The alternative CLM albedo scheme underestimated the regional maximum SWE, resulting in an inaccurate estimation of precipitation within the heavy snowbelt.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Water Resources
Vinayak Huggannavar, J. Indu
Summary: This study evaluates the simulated soil moisture of WRF-NoahMP model using two different configurations and finds that the GW model improves soil moisture and latent heat flux in the Ganga River basin. However, the model overestimates the groundwater table depth and lacks consideration of anthropogenic factors such as groundwater pumping.
HYDROLOGICAL PROCESSES
(2023)
Article
Environmental Sciences
Engela Sthapit, Tarendra Lakhankar, Mimi Hughes, Reza Khanbilvardi, Robert Cifelli, Kelly Mahoney, William Ryan Currier, Francesca Viterbo, Arezoo Rafieeinasab
Summary: Snow greatly influences land-atmosphere interactions and streamflow in snow-dominated areas. However, estimating snowpack properties from land surface model simulations remains challenging. This study evaluates the impact of different meteorological forcing datasets on snow simulations.
Article
Meteorology & Atmospheric Sciences
Qian Li, Tao Yang, Lanhai Li
Summary: This study conducted 24 ensemble experiments to quantitatively evaluate snow depth simulations using the WRF/Noah-MP model, and found that the ALB and STC subprocesses play dominant roles in simulating snow depth. Different parameterization schemes exhibit varying sensitivities in different snow seasons and altitudes.
ATMOSPHERIC RESEARCH
(2022)
Article
Geochemistry & Geophysics
Dhanraj Mane, Anantharaman Chandrasekar
Summary: Precipitation is considered the most important variable for streamflow modeling, but uncertainty in measurement can limit accuracy. This study used the WRF-Hydro model to simulate streamflow in the Godavari basin, evaluating the impact of uncertain precipitation forcing. Utilizing precipitation datasets with similar spatial and temporal variability as observed rainfall is crucial for accurate streamflow simulation.
PURE AND APPLIED GEOPHYSICS
(2022)
Article
Meteorology & Atmospheric Sciences
Ronnie Abolafia-Rosenzweig, Cenlin He, S. McKenzie Skiles, Fei Chen, David Gochis
Summary: This study evaluates and optimizes the ground snow albedo algorithm within the Noah-MP LSM using in situ albedo observations. The optimized parameters improve the agreement between simulated and observed ground snow albedo and reveal significant correlations between fresh-snow albedo and surface meteorological conditions.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Environmental Sciences
Luis Andres Guillen, Rodrigo Fernandez, Brandi Gaertner, Nicolas Pierre Zegre
Summary: The study revealed that climate controls have a greater impact on precipitation partitioning, while landscape controls have a smaller influence. In a complex mountainous terrain, partitioning controls may vary between different basins.
WATER RESOURCES RESEARCH
(2021)
Article
Geosciences, Multidisciplinary
Xiaolin Huang, Lu Hao, Ge Sun, Zong-Liang Yang, Wenhong Li, Dongxu Chen
Summary: This study examines the influence of urbanization on local atmospheric moisture under global warming in China. The findings indicate significant declines in atmospheric humidity, forming an 'Urban Dry Island' (UDI). The observed UDI is caused by global warming, urban heat island effect, and reduction in local evapotranspiration and water vapor supplies. The magnitude and frequency of UDI are more pronounced in humid regions compared to arid regions due to differences in background climate and vegetation characteristics. Restoring the evapotranspiration power of urban ecosystems is crucial in mitigating the negative effects of UDI and UHI.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Elizabet Lizama, Bastian Morales, Marcelo Somos-Valenzuela, Ningsheng Chen, Mei Liu
Summary: The interaction of geological processes and climate changes has led to increased landslide activity in northern Chilean Patagonia, impacting communities and ecosystems. The 2017 flood in Villa Santa Lucia highlighted the vulnerability of the population and critical infrastructure to natural hazards. The study showed that soil moisture, lithology, drainage density, and seismic activity significantly influenced the susceptibility of landslides.
Article
Environmental Sciences
Sayan Dey, Siddharth Saksena, Danielle Winter, Venkatesh Merwade, Sara McMillan
Summary: This study emphasizes the significance of river bathymetry in hydrodynamic and hydrologic processes, and its impact on subsurface processes. The study also demonstrates the importance of accurate bathymetric representation in simulating flooding-related physical processes.
WATER RESOURCES RESEARCH
(2022)
Article
Environmental Sciences
Bastian Morales, Angel Garcia-Pedrero, Elizabet Lizama, Mario Lillo-Saavedra, Consuelo Gonzalo-Martin, Ningsheng Chen, Marcelo Somos-Valenzuela
Summary: Landslide inventories are essential for studying the dynamics, risks, and effects of these processes on mountain landscapes. The use of artificial intelligence models based on deep learning techniques can automate landslide detection, but there is a lack of research in the Andes region. This study aims to narrow this gap by creating a large dataset for the Patagonian Andes and applying a deep learning model, achieving promising results with high accuracy and segmentation capabilities, despite some errors.
Article
Development Studies
Alex Boso, Sebastian Ibarra, Luis Gomez, Boris Alvarez, Claudio Herranz, Marcelo Somos-Valenzuela, Jaime Garrido
Summary: This study integrates survey data and wood smoke pollution estimates to examine the spatial associations between sociodemographic characteristics, exposures, and risk perception in southern Chile. The findings highlight the inequitable exposure to PM2.5 among certain social groups and the impact of PM2.5 levels and sociodemographic factors on air pollution risk perception.
SOCIETY & NATURAL RESOURCES
(2023)
Article
Meteorology & Atmospheric Sciences
Jianguo Liu, Zong-Liang Yang, Binghao Jia, Longhuan Wang, Ping Wang, Zhenghui Xie, Chunxiang Shi
Summary: A series of experiments were conducted to compare the impacts of different land surface model parameterization schemes, meteorological forcing, and land surface parameters on land surface hydrological simulations. The results showed that meteorological forcing had the most significant influence on the output. Additionally, soil texture information greatly affected soil moisture simulations, while snow parameterization schemes in the land surface model had a significant impact on snow depth simulations. The study revealed that using a refined land surface model driven by observation-based regional meteorological forcing and land surface parameters can improve the modeling of regional land surface hydrological processes.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Adnan Rajib, I. Luk Kim, Mehmet B. Ercan, Venkatesh Merwade, Lan Zhao, Carol Song, Kuan-Hung Lin
Summary: This paper introduces an approach to improve the efficiency of automatic calibration in hydrologic models through the expansion and enhancement of the web-based modeling platform SWATShare. Three implementation case studies are conducted to validate the effectiveness of SWATShare autocalibration. The results show that SWATShare autocalibration produces comparable streamflow hydrograph and parameter values to commonly used offline calibration methods, with the added advantage of producing more physically relevant parameter values in some instances. The design presented in this paper can serve as an Open Science blueprint for similar developments in other hydrologic models and Earth system sciences.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Engineering, Civil
Tao Huang, Venkatesh Merwade
Summary: This study applied Bayesian Model Averaging (BMA) to evaluate the flood models of the Deep River and the Saint Marys River in Indiana, United States. The results showed that BMA predictions were more reliable than the original FEMA model and ensemble mean. The HBMA framework demonstrated the propagation of uncertainty sources and identified the relative impacts of individual sources in the flood modeling process.
JOURNAL OF HYDROLOGIC ENGINEERING
(2023)
Article
Meteorology & Atmospheric Sciences
Wei Hu, Weiqiang Ma, Zong-Liang Yang, Yaoming Ma, Zhipeng Xie
Summary: This study focused on the spatiotemporal variability of diverse parameterization schemes in the soil hydrothermal simulations using the Noah-MP land surface model. Results revealed the different spatial and temporal effects of parameterization schemes, with energy-related schemes being sensitive to ground and soil temperature, and vegetation-related schemes playing a role after the growing season begins. Soil water content showed strong sensitivity to schemes related to both water and energy transport, while the sensitivity of energy-related schemes weakened when simulating total soil moisture, indicating their impact on soil freeze-thaw processes.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Geosciences, Multidisciplinary
Ankit Ghanghas, Ashish Sharma, Sayan Dey, Venkatesh Merwade
Summary: This study investigates the pattern of changes in spatial extent of short duration extreme precipitation events globally by proposing a grid-based indicator named Spatial-Homogeneity. The results show that rising temperature leads to significant shrinking of precipitation extent in the tropics, but an expansion in arid regions; storms with higher precipitation intensity exhibit a faster decrease in spatial extent; and larger spatial extent storms are associated with higher total precipitable water. These findings imply that in a warming climate, tropical regions may experience severe floods as storms become more intense and spatially concentrated.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Ningsheng Chen, Shufeng Tian, Fawu Wang, Peijun Shi, Lihong Liu, Miaoyuan Xiao, Enlong Liu, Wenqing Tang, Mahfuzur Rahman, Marcelo Somos-Valenzuela
Summary: This study aims to determine the mechanism of the three largest catastrophic rockslides in the eastern Tibetan Plateau over the past 20 years using field investigation, remote sensing, and runoff analysis. The multi-wing butterfly effects (MWBE) of climatic factors and weak earthquakes are identified as drivers of the catastrophic rockslide disasters. The catastrophic rockslide was ultimately inferred to be a nonlinear chaotic process, but prediction and forecasting of rockslide based on the MWBE in the early stages are possible and essential.
GEOSCIENCE FRONTIERS
(2023)
Article
Meteorology & Atmospheric Sciences
Chenxi Hu, Chi-Yung Tam, Chi Lok Loi, Kevin K. W. Cheung, Yubin Li, Zong-Liang Yang, Yee Man Au-Yeung, Xiaoyi Fang, Dev Niyogi
Summary: Urbanization has a significant impact on tropical cyclone rainfall, resulting in more intense rainfall over urban areas due to surface frictional convergence.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Meteorology & Atmospheric Sciences
Lu Hao, Ge Sun, Xiaolin Huang, Run Tang, Kailun Jin, Yihan Lai, Dongxu Chen, Yaoqi Zhang, Decheng Zhou, Zong-Liang Yang, Lang Wang, Gang Dong, Wenhong Li
Summary: 'Urban Dry (Wet) Islands' (UDI/UWI) phenomenon has an impact on ecosystems and human well-being, but the causes are not fully understood. This study quantifies UDI and UWI using global observations and finds close linkages with local evapotranspiration, global warming, and 'Urban Heat Islands'. UDI is most pronounced in humid vegetated regions, while UWI is found in arid regions or climates with dry summers. The study suggests that evapotranspiration can be used as a single variable to explain emerging urban environmental changes and advocates for restoring nature's evapotranspiration power as effective solutions to mitigate the negative environmental effects of urbanization.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Environmental Sciences
Yamin Qing, Shuo Wang, Zong-Liang Yang, Pierre Gentine
Summary: The transition from drought to pluvial conditions is caused by a causal chain involving soil moisture, heat flux, and precipitation. There has been a significant increase in the occurrence of these transitions globally during the period 1980-2020. The study reveals that different causal chains explain the post-drought rainfall in humid and arid regions, highlighting the importance of land-atmosphere feedbacks in triggering the drought-pluvial shift in a changing climate.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Alexander Y. Sun, Peishi Jiang, Zong-Liang Yang, Yangxinyu Xie, Xingyuan Chen
Summary: Rivers and river habitats worldwide are facing sustained pressure from human activities and global environmental changes. It is crucial to quantify and manage river states in a timely manner for public safety and natural resource protection. This study presents a multistage, physics-guided, graph neural network (GNN) approach for basin-scale river network learning and streamflow forecasting.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)