Article
Environmental Sciences
Heather Kropp, Michael M. Loranty, Nick Rutter, Christopher G. Fletcher, Chris Derksen, Lawrence Mudryk, Markus Todt
Summary: The timing and rate of spring snowmelt in northern high latitudes are important for the environment. Forests and grasslands are more conducive to snowmelt compared to other land cover types.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Saber E. Brasher, Daniel J. Leathers
Summary: The cryo-cover in the Northern Hemisphere, consisting of snow and sea ice covers, has shown distinct spatial and temporal variability and shifts in stability in recent decades. This study focuses on the transformation of cryo-cover during March, June, and October, and utilizes Self-Organizing Maps (SOMs) on a dataset covering the period from 1979 to 2012. The results indicate a decrease in cryo-cover during March and June, with pixels shifting from stable to transient patterns. However, there is an increase in transient cryo-cover during October, primarily centered around 50 degrees N latitude. These changes in cryo-cover will continue due to rising temperatures in the high latitudes of the Northern Hemisphere, and spatial monitoring using methods like SOMs will be essential for understanding the radiative and environmental impacts.
Article
Environmental Sciences
Shiwei Liu, Jianchuan Qi, Sai Liang, Xiaoming Wang, Xuejiao Wu, Cunde Xiao
Summary: Environmental changes due to global warming will escalate the costs of combating climate change, especially the loss of climate regulation caused by declining snow cover. Different carbon mitigation approaches result in varied economic impacts, emphasizing the importance of international cooperation in reducing carbon emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Zachary J. Suriano, Daniel J. Leathers, Thomas L. Mote, Gina R. Henderson, Thomas W. Estilow, Lori J. Wachowicz, David A. Robinson
Summary: At a continental scale, changes in snow ablation events inform regional hydroclimate, affecting streamflow, soil moisture, and groundwater supplies. The study shows a significant decrease in snow ablation frequency over time, with some regions experiencing up to a 75% decline in events, mainly due to reductions in snow cover.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Environmental Sciences
Xuejiao Wu, Rao Zhu, Yinping Long, Wei Zhang
Summary: Historical patterns of snow cover and snowmelt are shifting due to climate warming and perhaps some human activities. In this study, the long-term impact of climate warming on snowmelt rates in China's three main stable snow cover regions was evaluated using passive microwave remotely sensed data. The results showed a decline in annual maximum snow water equivalent (SWE) and a decrease in moderate and high rates of snowmelt. Vegetation improvement was also found to be closely related to the slower snowmelt rate in these regions.
Article
Environmental Sciences
Hongling Zhao, Hongyan Li, Yunqing Xuan, Changhai Li, Heshan Ni
Summary: This paper presents the development and application of an improved temperature index method for the SWAT model in simulating daily snowmelt runoff in a seasonal snowmelt area. The improvements in the method result in significantly improved simulation results, supported by various metrics. The study also explores the impact of climate change on future snowmelt runoff and finds a decrease in snowmelt runoff under the given scenarios. This research provides valuable insights into the efficient development and utilization of water resources in seasonal snowmelt areas.
Article
Meteorology & Atmospheric Sciences
Saber E. Brasher, Daniel J. Leathers
Summary: The study examines trends in Northern Hemisphere cryo-cover from 1979 to 2020, revealing a decreasing trend in cryo-cover with sea ice decreasing in all months and snow cover increasing in autumn and early winter. Stable cryo-cover is observed to decrease while transient cover increases.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Environmental Sciences
Shahid Parvez, Zia Ul-Haq, Salman Tariq, Syeda Adila Batool, Asim Daud Rana, Khalid Mahmood, Fazzal Qayyum
Summary: This study investigates the influence of aerosols on snow cover in Northern Pakistan, finding a positive correlation between dust surface mass concentration and snow cover, as well as a high positive correlation between precipitation and snow cover.
AIR QUALITY ATMOSPHERE AND HEALTH
(2023)
Article
Environmental Sciences
Andrea Alessandri, Franco Catalano, Matteo De Felice, Bart van den Hurk, Gianpaolo Balsamo
Summary: Changes in snow and vegetation cover due to global warming alter surface albedo, influencing surface temperature rise primarily caused by anthropogenic greenhouse gas emissions. Surface-albedo feedbacks play a crucial role in modulating regional warming, with positive or negative feedback enhancing or reducing temperature increase by affecting short-wave radiation absorption.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Leonardo Stucchi, Claudia Dresti, Daniele Bocchiola
Summary: This paper examines the climate and snow cover trends in the Ossola valley of the Western Italian Alps over a century. Multiple tests and datasets were used to analyze the temperature, precipitation, and snow depth, as well as their correlation with glacier retreat.
Article
Environmental Sciences
Xian Zhu, Shao-Yi Lee, Xiaohang Wen, Zhigang Wei, Zhenming Ji, Zhiyuan Zheng, Wenjie Dong
Summary: Historical snow cover over the Northern Hemisphere has generally decreased in recent decades, with a notable increase in October-December. CMIP6 models outperform CMIP5 in simulating snow cover, with projections showing a continued reduction in snow cover over the next 80 years under all scenarios, particularly under high greenhouse gas emission scenarios. Reducing greenhouse gas emissions is crucial to stabilizing snow cover in the future.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Eduardo Lastrada, Julio Garzon-Roca, Guillermo Cobos, Francisco Javier Torrijo
Summary: Climate change is expected to impact snow events in Spain, potentially leading to increased flooding episodes and shorter duration of snow bulk reserves, requiring the development of new adaptation measures.
Article
Meteorology & Atmospheric Sciences
Yongxiao Liang, Nathan p. Gillett, Adam h. Monahan
Summary: Physically based observational constraint methods can effectively reduce uncertainty in global warming projections. The study finds that global low-cloud metrics perform better in constraining surface temperature projections compared to past warming trend or regional climate metrics. Constrained climate models provide more accurate projections and narrower uncertainty ranges.
JOURNAL OF CLIMATE
(2023)
Article
Geosciences, Multidisciplinary
Hannah Vickers, Eirik Malnes, Markus Eckerstorfer
Summary: This study developed a method for detecting and mapping the frequency of wet snow cover and rain-on-snow (ROS) events in Svalbard using synthetic aperture radar (SAR) observations. The results showed that ROS frequency is increasing in most areas of the archipelago, with significant increases observed in the south and west coast, while low elevation areas in the central parts of the archipelago exhibit a significant decrease in ROS occurrence.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
Di Liu, Yanyun Shen, Yiwen Wang, Zhipan Wang, Zewen Mo, Qingling Zhang
Summary: Accurate monitoring of snow and ice dynamics in the Arctic is crucial for understanding climate change impacts and predicting feedback on global climate. Traditional remote sensing methods have limitations in long-term observations of polar regions. This study systematically assessed the use of moonlight remote sensing to monitor snow/ice dynamics during dark Arctic winters. Using VIIRS/DNB time series data and object-oriented Random Forests algorithm, we achieved high accuracy in revealing the spatiotemporal dynamics of snow/ice covers from 2012 to 2022. Our findings demonstrate the potential of moonlight remote sensing for continuous monitoring in the Arctic and contribute to polar studies and climate change research.
Article
Geosciences, Multidisciplinary
Lei Fan, Jean-Pierre Wigneron, Philippe Ciais, Jerome Chave, Martin Brandt, Stephen Sitch, Chao Yue, Ana Bastos, Xin Li, Yuanwei Qin, Wenping Yuan, Dmitry Schepaschenko, Liudmila Mukhortova, Xiaojun Li, Xiangzhuo Liu, Mengjia Wang, Frederic Frappart, Xiangming Xiao, Jingming Chen, Mingguo Ma, Jianguang Wen, Xiuzhi Chen, Hui Yang, Dave van Wees, Rasmus Fensholt
Summary: Siberian forests have been considered an important carbon sink, but severe droughts and fire disturbances may have affected their carbon dynamics. Limited forest inventories have led to uncertainties in the carbon balance. This study analyzed microwave observations from 2010 to 2019 and found that the carbon balance of Siberian forests was close to neutral, with a small carbon sink. Fire and drought caused significant losses of live above-ground carbon, contrasting with the greening trends in leaf area index. This highlights the vulnerability of large forest carbon stores in Siberia to climate-induced disturbances.
Article
Agronomy
Yanzhao Zhou, Matthias Suehring, Xin Li
Summary: The non-closure of surface energy balance is a challenge in quantifying atmosphere-surface exchange of energy and water. This study evaluates different energy balance closing methods and imbalance prediction methods in the convective boundary layer over idealized heterogeneous surfaces. The results show that advection fluxes are highly correlated with flux imbalances, and the Bowen ratio closure method performs better than other methods but fails when horizontal advection flux dominates. Using the Lagrangian particle model to calculate footprint-weighted surface true fluxes can reduce flux imbalance and improve closure method performance. None of the existing imbalance prediction methods can accurately predict flux imbalance for sensible heat or latent heat.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Changhui Zhan, Yingying Chen, Kun Yang, Lazhu, Xu Zhou, Yaozhi Jiang, Xiaoyan Ling, Jiaxin Tian, Yan Wang, Xin Li, Hua Yang
Summary: This study evaluates the performance of four Global Precipitation Measurement (GPM)-Era precipitation products on the western Tibetan Plateau (WTP). The results show that the calibration of satellite products has a significant effect on their performance. The GSMaP-Gauge, calibrated with daily data, outperforms the IMERG-C, calibrated with monthly data, on both monthly and daily scales. However, the calibration does not improve the reproduction of precipitation amount on the WTP, and none of the four products can accurately capture the hourly precipitation frequency-intensity structure.
ATMOSPHERIC RESEARCH
(2023)
Article
Engineering, Civil
Xiwen Wang, Weijia Wang, Yuan He, Shulei Zhang, Wei Huang, R. Iestyn Woolway, Kun Shi, Xiaofan Yang
Summary: In this study, an improved parameterization scheme of the WRF-Lake model was applied to Lake Qiandaohu to simulate the thermal structure and stratification of the lake. By determining key parameters such as initial lake water temperature profiles, light extinction coefficients, eddy diffusion coefficients, and surface roughness lengths, the modified model performed better in simulating lake surface water temperature and thermal stratification. This study provides guidance for simulating the thermal structure of deep lakes and enhances our understanding of lake thermal stratification.
JOURNAL OF HYDROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Li Wang, Fan Zhang, Guanxing Wang, Chen Zeng, Yao Chen, Xiaonan Shi, Handuo Tang, Guangju Zhao, Chongyu Xu, Xin Li
Summary: Soil erosion is a global environmental threat, especially in high-mountain areas affected by climate and vegetation changes. This study improved the RUSLE by developing a method to calculate snowmelt runoff erosivity and estimated the soil erosion rate in the upper Heihe River Basin. The results showed that vegetation cover played a dominant role in reducing soil erosion.
Article
Multidisciplinary Sciences
Taihua Wang, Dawen Yang, Yuting Yang, Guanheng Zheng, Huijun Jin, Xin Li, Tandong Yao, Guodong Cheng
Editorial Material
Multidisciplinary Sciences
Xin Li
Review
Environmental Sciences
Xin Li, Min Feng, Youhua Ran, Yang Su, Feng Liu, Chunlin Huang, Huanfeng Shen, Qing Xiao, Jianbin Su, Shiwei Yuan, Huadong Guo
Summary: The concept of a digital twin of Earth combines Big Earth Data with physics-based models to enable monitoring and prediction of environmental and social changes. This review summarizes the advances in methodological and cyberinfrastructure in Big Data that have contributed to the progress towards a digital Earth twin. The integration of machine learning, causal inference, and reinforcement learning techniques is crucial for achieving a fully functional digital twin of Earth.
NATURE REVIEWS EARTH & ENVIRONMENT
(2023)
Article
Agronomy
Feng Han, Yi Zheng, Ling Zhang, Rui Xiong, Zhaoping Hu, Yong Tian, Xin Li
Summary: Drip irrigation is considered a solution to water conflicts in arid regions, but assessing its hydrological impacts is challenging. This study developed a new approach to simulate drip irrigation at a basin scale, using a fully distributed ecohydrological model. The study found that the water-saving efficiency of drip irrigation at the basin level was lower than at the field level. Fully implementing drip irrigation would alter the regional water balance, increasing stream outflow and depleting groundwater. Adjusting management parameters and implementing drip irrigation in part of the basin can alleviate this tradeoff.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Yongkang Xue, Ismaila Diallo, Aaron A. Boone, Yang Zhang, Xubin Zeng, William K. M. Lau, J. David Neelin, Tandong Yao, Qi Tang, Tomonori Sato, Myung-Seo Koo, Frederic Vitart, Constantin Ardilouze, Subodh K. Saha, Stefano Materia, Zhaohui Lin, Yuhei Takaya, Jing Yang, Tetsu Nakamura, Xin Qi, Yi Qin, Paulo Nobre, Retish Senan, Hailan Wang, Hongliang Zhang, Mei Zhao, Hara Prasad Nayak, Yan Pan, Xiaoduo Pan, Jinming Feng, Chunxiang Shi, Shaocheng Xie, Michael A. Brunke, Qing Bao, Marcus Jorge Bottino, Tianyi Fan, Songyou Hong, Yanluan Lin, Daniele Peano, Yanling Zhan, Carlos R. Mechoso, Xuejuan Ren, Gianpaolo Balsamo, Sin Chan Chou, Patricia de Rosnay, Peter J. van Oevelen, Daniel Klocke, Michael Ek, Xin Li, Weidong Guo, Yuejian Zhu, Jianping Tang, Xin-Zhong Liang, Yun Qian, Ping Zhao
Summary: This paper presents a new method for improving the prediction of summer droughts/floods in various regions around the world by utilizing information on spring land surface temperature/subsurface temperature anomalies over the Tibetan Plateau. The study shows that considering the effects of Tibetan Plateau LST/SUBT can account for 25-50% of observed precipitation anomalies in most hotspot regions. It also discusses the mechanisms behind the 2003 drought in the southern part of the Yangtze River Basin.
Article
Meteorology & Atmospheric Sciences
Xu Zhou, Baohong Ding, Kun Yang, Jinmei Pan, Xiaogang Ma, Long Zhao, Xin Li, Jiancheng Shi
Summary: In this study, a snow cover fraction scheme and a shallow-snow albedo scheme are implemented to reduce the overestimations of surface albedo, snow cover fraction, snow water equivalent, and snow depth over the Tibetan Plateau. The evaluations show that these schemes effectively alleviate the cold biases in surface temperature and air temperature during the cold season in the study region. This work provides guidance for improving the snow-related physics in climate models and enhances the weather forecasting and climate prediction capabilities of the WRF model in the plateau region.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2023)
Article
Environmental Sciences
Weiwei Ren, Xin Li, Donghai Zheng, Ruijie Zeng, Jianbin Su, Tinghua Mu, Yingzheng Wang
Summary: Due to the scarcity of observational data and the complex precipitation-runoff relationship, accurately predicting floods within data-scarce glacial river basins presents challenges. This study introduces an innovative hybrid model that combines multi-source remote sensing data, a physically based hydrological model, and machine learning techniques to improve flood prediction accuracy.
Article
Engineering, Electrical & Electronic
Zheng Lu, Yuan He, Shuyan Peng, Xiaofan Yang
Summary: Using the ParFlow-CLM simulated SM data as the validating reference, this study assesses ten SM products in the middle reaches of the Heihe River Basin. The results show that merged and assimilated SM products perform better than single-source RS SM products compared to the simulated data. This study paves a way for model-data intercomparison of SM products in the HRB as well as in other arid and semiarid basins.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Environmental
Xiaocui Wen, Jiawei Zhou, Siyan Zheng, Zhangwei Yang, Zheng Lu, Xueqin Jiang, Lingzhi Zhao, Bo Yan, Xiaofan Yang, Tao Chen
Summary: This study investigated the HMs contamination and microbial community dynamics during a three-year revegetation of production Pb-Zn tailings in northern Guangdong province, China. The results showed that prolonged tailings stockpiling exacerbated Pb contamination, but revegetation effectively alleviated Pb. Pseudomonas emerged as a potential Pb remediator during the revegetation process.
JOURNAL OF HAZARDOUS MATERIALS
(2024)
Article
Engineering, Civil
Yu Jiang, Xiaolong Xu, Honghao Gao, Adel D. Rajab, Fu Xiao, Xinheng Wang
Summary: This paper introduces a lightweight blockchain called LBlockchainE for edge IoT-enabled Maritime Transportation Systems (MTS). By proposing a data placement strategy, using storage resource consumption as an influencing parameter, and selecting nodes with the least access and storage costs, LBlockchainE achieves secure storage of sensor data. Experimental results show that LBlockchainE has lower energy consumption and storage space compared to traditional blockchain systems, with significant improvements in time and battery power.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)