Weekly Literature Review
Week 46 · November 13–November 19, 2023
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across 6 themes. The most cited paper examines Learning skillful medium-range global weather forecasting, with 1080 citations. Key research areas include climate change and terrestrial water storage, flood risk assessment and extreme precipitation, machine learning and ai for hydrological prediction.
Table of Contents
- Executive Summary
- Climate Change and Terrestrial Water Storage
- Climate change impacts on crop yields
- Integrated global assessment of the natural forest carbon potential
- Hybrid photothermal–photocatalyst sheets for solar-driven overall water splitting coupled to water purification
- Tree mortality during long-term droughts is lower in structurally complex forest stands
- The relationship between renewable energy production and CO2 emissions in 27 OECD countries: A panel cointegration and Granger non-causality approach
- Firm climate change risk and financial flexibility: Drivers of ESG performance and firm value
- High Temperature Accelerates Onset Speed of the 2022 Unprecedented Flash Drought Over the Yangtze River Basin
- The Zero Emissions Commitment and climate stabilization
- The relationship between firm-level climate change exposure, financial integration, cost of capital and investment efficiency
- The Extraordinary March 2022 East Antarctica “Heat” Wave. Part I: Observations and Meteorological Drivers
- Climate change concerns and mortgage lending
- Optimal nitrogen management to achieve high wheat grain yield, grain protein content, and water productivity: A meta-analysis
- Impacts of extreme weather events on mortgage risks and their evolution under climate change: A case study on Florida
- Asymmetry of AMOC Hysteresis in a State‐Of‐The‐Art Global Climate Model
- Jasmonic acid priming augments antioxidant defense and photosynthesis in soybean to alleviate combined heat and drought stress effects
- Contribution of urban trees in reducing land surface temperature: Evidence from china’s major cities
- Leveraging neuroscience for climate change research
- Overheating of Cities: Magnitude, Characteristics, Impact, Mitigation and Adaptation, and Future Challenges
- Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
- The Effect of Trust in Science and Media Use on Public Belief in Anthropogenic Climate Change: A Meta-analysis
- Local and regional climate trends and variabilities in Ethiopia: Implications for climate change adaptations
- Improvements in the Canadian Earth System Model (CanESM) through systematic model analysis: CanESM5.0 and CanESM5.1
- Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection
- Cover crop-mediated soil carbon storage and soil health in semi-arid irrigated cropping systems
- Unveiling an Environmental Drought Index and its applicability in the perspective of drought recognition amidst climate change
- Flood Risk Assessment and Extreme Precipitation
- Machine Learning and AI for Hydrological Prediction
- Learning skillful medium-range global weather forecasting
- FuXi: a cascade machine learning forecasting system for 15-day global weather forecast
- Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe
- Long short-term memory models of water quality in inland water environments
- S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images
- Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
- Improved global 250 m 8-day NDVI and EVI products from 2000–2021 using the LSTM model
- Runoff time series prediction based on hybrid models of two-stage signal decomposition methods and LSTM for the Pearl River in China
- Meteorological drought assessment in northern Bangladesh: A machine learning-based approach considering remote sensing indices
- Hydropower and Renewable Energy-Water Systems
- Water Management, Irrigation, and Groundwater
- Living within the safe and just Earth system boundaries for blue water
- The impact of human activities on blue-green water resources and quantification of water resource scarcity in the Yangtze River Basin
- Analysis of coupling coordination and obstacle factors between tourism development and ecosystem services value: A case study of the Yellow River Basin, China
- Hydrological Processes, Snow Dynamics, and Remote Sensing
- Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium
- Spatial distribution and partition of polycyclic aromatic hydrocarbons (PAHs) in the water and sediment of the southern Bohai Sea: Yellow River and PAH property influences
- Mitigating greenhouse gas emissions from municipal wastewater treatment in China
- Effects of different vegetation components on soil erosion and response to rainfall intensity under simulated rainfall
- Higher global gross primary productivity under future climate with more advanced representations of photosynthesis
- Tracking lake drainage events and drained lake basin vegetation dynamics across the Arctic
- Identification of point and nonpoint emission sources of neonicotinoid pollution in regional surface water
- Impact of Satellite-Derived Land Cover Resolution Using Machine Learning and Hydrological Simulations
- Climate change impacts on streamflow, sediment load and carbon fluxes in the Lena River delta
- Modeling the transport of microplastics along river networks
- Statistics
- Filtering Criteria
Climate Change and Terrestrial Water Storage
This week features 25 papers examining the intersection of climate change and terrestrial water dynamics. Studies investigate water storage changes, drought mechanisms and projections, vegetation-water interactions, and Earth system model uncertainties. Key contributions address large-scale water storage trends, land-atmosphere coupling effects on drought onset, and methods for characterizing future drought under climate change scenarios.
Climate change impacts on crop yields
Authors: E. Rezaei, H. Webber, S. Asseng, K. Boote, Jean-Louis Durand, F. Ewert et al.
Journal: Nature Reviews Earth & Environment · DOI: 10.1038/s43017-023-00491-0 · Citations: 465
Matched topics: climate change
Abstract not available.
Integrated global assessment of the natural forest carbon potential
Authors: Lidong Mo, Constantin M. Zohner, Peter B. Reich, Jingjing Liang, Sergio de‐Miguel, G.J. Nabuurs et al.
Journal: Nature · DOI: 10.1038/s41586-023-06723-z · Citations: 380
Matched topics: land surface model, earth system model
that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.
Hybrid photothermal–photocatalyst sheets for solar-driven overall water splitting coupled to water purification
Authors: Chanon Pornrungroj, Ariffin Bin Mohamad Annuar, Qian Wang, Motiar Rahaman, Subhajit Bhattacharjee, Virgil Andrei et al.
Journal: Nature Water · DOI: 10.1038/s44221-023-00139-9 · Citations: 185
Matched topics: land surface model
Abstract Photocatalytic water splitting converts sunlight directly into storable hydrogen, but commonly involves the use of pure water and land for plant installation while generating unusable waste heat. Here we report a hybrid device consisting of a photocatalyst (PC) and a solar vapour generator (SVG) for simultaneous overall water splitting and water purification from open water sources. Specifically, an ultraviolet light-absorbing RhCrO x –Al:SrTiO 3 PC is deposited on top of a floating,…
Tree mortality during long-term droughts is lower in structurally complex forest stands
Authors: Qin Ma, Yanjun Su, Chunyue Niu, Qin Ma, Tianyu Hu, Xiangzhong Luo et al.
Journal: Nature Communications · DOI: 10.1038/s41467-023-43083-8 · Citations: 93
Matched topics: hydrology, water management, drought
Increasing drought frequency and severity in a warming climate threaten forest ecosystems with widespread tree deaths. Canopy structure is important in regulating tree mortality during drought, but how it functions remains controversial. Here, we show that the interplay between tree size and forest structure explains drought-induced tree mortality during the 2012-2016 California drought. Through an analysis of over one million trees, we find that tree mortality rate follows a “negative-positi…
The relationship between renewable energy production and CO2 emissions in 27 OECD countries: A panel cointegration and Granger non-causality approach
Authors: Gaetano Perone
Journal: Journal of Cleaner Production · DOI: 10.1016/j.jclepro.2023.139655 · Citations: 97
Matched topics: hydropower
Human-caused CO2 emissions are the primary cause of global warming. In this regard, determining the most effective approach for lowering CO2 emissions and the collateral risk of catastrophic natural disasters is crucial. This study examines the long-run relationship between disaggregated renewable energy production and carbon dioxide (CO2) emissions per capita for a panel of 27 OECD countries from 1965 to 2020. The panel-autoregressive distributed lag (ARDL) models of the pooled mean group (P…
Firm climate change risk and financial flexibility: Drivers of ESG performance and firm value
Authors: Mirza Muhammad Naseer, Muhammad Asif Khan, Tanveer Bagh, Yongsheng Guo, Xiaoxian Zhu
Journal: Borsa Istanbul Review · DOI: 10.1016/j.bir.2023.11.003 · Citations: 91
Matched topics: climate change
This study investigates how a firm’s climate change risk (FCCR) and financial flexibility (FIFL) affect its value and environmental, social, and governance (ESG) performance. We use data from publicly listed US firms for 2012–2021. We employed four estimation methods: bootstrap quantile regression, feasible generalised least squares, a generalised method of moments, and fixed effects with Driscoll-Kraay standard errors. Our main findings indicate that climate change risk has a negative effect…
High Temperature Accelerates Onset Speed of the 2022 Unprecedented Flash Drought Over the Yangtze River Basin
Authors: Yumiao Wang, Xing Yuan
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl105375 · Citations: 63
Matched topics: hydrology, river, drought, land surface model, earth system model
Abstract The Yangtze River Basin experienced one of the worst flash droughts on record during 2022 summer, but the relative contributions of precipitation deficit and high temperature to drought onset speed and intensity are difficult to separate due to the compounding feature of hot and dry extremes caused by persistent high‐pressure anomalies. Based on high‐resolution land surface model ensemble simulations with specified meteorological conditions that reproduce precipitation deficit and/or…
The Zero Emissions Commitment and climate stabilization
Authors: Sofia Palazzo Corner, Martín J. Siegert, Paulo Ceppi, Baylor Fox‐Kemper, Thomas L. Frölicher, Angela Gallego‐Sala et al.
Journal: Frontiers in Science · DOI: 10.3389/fsci.2023.1170744 · Citations: 76
Matched topics: land surface model, earth system model
How do we halt global warming? Reaching net zero carbon dioxide (CO 2 ) emissions is understood to be a key milestone on the path to a safer planet. But how confident are we that when we stop carbon emissions, we also stop global warming? The Zero Emissions Commitment (ZEC) quantifies how much warming or cooling we can expect following a complete cessation of anthropogenic CO 2 emissions. To date, the best estimate by the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Repor…
The relationship between firm-level climate change exposure, financial integration, cost of capital and investment efficiency
Authors: Konstantina K. Agoraki, Maria Giaka, Dimitrios Konstantios, Ioannis Negkakis
Journal: Journal of International Money and Finance · DOI: 10.1016/j.jimonfin.2023.102994 · Citations: 75
Matched topics: climate change
Abstract not available.
The Extraordinary March 2022 East Antarctica “Heat” Wave. Part I: Observations and Meteorological Drivers
Authors: Jonathan Wille, Simon P. Alexander, Charles Amory, Rebecca Baiman, Léonard Barthelemy, Dana M. Bergstrom et al.
Journal: Journal of Climate · DOI: 10.1175/jcli-d-23-0175.1 · Citations: 70
Matched topics: land surface model
Abstract Between 15 and 19 March 2022, East Antarctica experienced an exceptional heat wave with widespread 30°–40°C temperature anomalies across the ice sheet. This record-shattering event saw numerous monthly temperature records being broken including a new all-time temperature record of −9.4°C on 18 March at Concordia Station despite March typically being a transition month to the Antarctic coreless winter. The driver for these temperature extremes was an intense atmospheric river advectin…
Climate change concerns and mortgage lending
Authors: Tinghua Duan, Frank Weikai Li
Journal: Journal of Empirical Finance · DOI: 10.1016/j.jempfin.2023.101445 · Citations: 59
Matched topics: climate change
Abstract not available.
Optimal nitrogen management to achieve high wheat grain yield, grain protein content, and water productivity: A meta-analysis
Authors: Yunqi Wang, Yu Peng, Jiaqi Lin, Lixin Wang, Zhikuan Jia, Rui Zhang
Journal: Agricultural Water Management · DOI: 10.1016/j.agwat.2023.108587 · Citations: 51
Matched topics: water management
Nitrogen (N) addition is commonly employed to enhance wheat production, and the effectiveness is strongly influenced by site-specific factors encompassing environmental conditions and crop management practices. However, the current understanding fails to adequately account for the intricate and variable interactions among these factors. Consequently, we conducted a global meta-analysis to quantify the combined contributions of these factors to wheat yield, grain protein content (GPC), and wat…
Impacts of extreme weather events on mortgage risks and their evolution under climate change: A case study on Florida
Authors: Raffaella Calabrese, Timothy Dombrowski, Antoine Mandel, R. Kelley Pace, Luca Zanin
Journal: European Journal of Operational Research · DOI: 10.1016/j.ejor.2023.11.022 · Citations: 49
Matched topics: climate change
Abstract not available.
Asymmetry of AMOC Hysteresis in a State‐Of‐The‐Art Global Climate Model
Authors: René M. van Westen, Henk A. Dijkstra
Journal: Geophysical Research Letters · DOI: 10.1029/2023gl106088 · Citations: 48
Matched topics: earth system model
Abstract We study hysteresis properties of the Atlantic Meridional Overturning Circulation (AMOC) under a slowly‐varying North Atlantic (20°N–50°N) freshwater flux forcing in state‐of‐the‐art global climate model (GCM), the Community Earth System Model. Results are presented of a full hysteresis simulation (4,400 model years) and show that there is a hysteresis width of about 0.4 Sv. This demonstrates that an AMOC collapse and recovery do not only occur in conceptual and idealized climate mod…
Jasmonic acid priming augments antioxidant defense and photosynthesis in soybean to alleviate combined heat and drought stress effects
Authors: Md. Mezanur Rahman, Mohammad Golam Mostofa, Sanjida Sultana Keya, Protik Kumar Ghosh, Mostafa Abdelrahman, Touhidur Rahman Anik et al.
Journal: Plant Physiology and Biochemistry · DOI: 10.1016/j.plaphy.2023.108193 · Citations: 46
Matched topics: drought
Abstract not available.
Contribution of urban trees in reducing land surface temperature: Evidence from china’s major cities
Authors: Andong Guo, Tingting He, Wenze Yue, Wu Xiao, Jun Yang, Maoxin Zhang et al.
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2023.103570 · Citations: 46
Matched topics: land surface model
Urban trees mitigate urban heat by altering evapotranspiration processes and providing shade to their surrounding environment. Nevertheless, the impact through which three-dimensional tree characteristics alleviate Land Surface Temperature (LST) remain uncertain, especially for climatic zone differences. In this study, we investigated the potential of trees to mitigate LST in 35 Chinese major cities and quantified the importance of diverse factors influencing the magnitude of cooling effects….
Leveraging neuroscience for climate change research
Authors: Kimberly C Doell, Marc G. Berman, Gregory N. Bratman, Brian Knutson, Simone Kühn, Claus Lamm et al.
Journal: Nature Climate Change · DOI: 10.1038/s41558-023-01857-4 · Citations: 46
Matched topics: climate change
Abstract not available.
Overheating of Cities: Magnitude, Characteristics, Impact, Mitigation and Adaptation, and Future Challenges
Authors: Jie Feng, Kai Gao, Hassan Saeed Khan, Giulia Ulpiani, Konstantina Vasilakopoulou, Geun Young Yun et al.
Journal: Annual Review of Environment and Resources · DOI: 10.1146/annurev-environ-112321-093021 · Citations: 41
Matched topics: land surface model, earth system model
Urban overheating is the most documented phenomenon of climate change impacting humans. This article presents the most recent developments on the magnitude and characteristics of urban overheating and the potential synergies with global climatic change. It analyses the latest qualitative and quantitative data on the impact of higher urban temperatures on buildings’ energy supply and demand, heat-related mortality, morbidity and wellbeing, human productivity, survivability of low-income popula…
Inferring reservoir filling strategies under limited-data-availability conditions using hydrological modeling and Earth observations: the case of the Grand Ethiopian Renaissance Dam (GERD)
Authors: Awad M. Ali, Lieke Melsen, Adriaan J. Teuling
Journal: Hydrology and earth system sciences · DOI: 10.5194/hess-27-4057-2023 · Citations: 21
Matched topics: hydrology, hydrologic model, streamflow, reservoir, water management, hydropower
Abstract. The filling of the Grand Ethiopian Renaissance Dam (GERD) started in 2020, posing additional challenges for downstream water management in the Blue Nile River in the Republic of the Sudan, which is already struggling to cope with the effects of climate change. This is also the case for many transboundary rivers that are affected by a lack of cooperation and transparency during the filling and operation of new dams. Without information about water supply from neighboring countries, i…
The Effect of Trust in Science and Media Use on Public Belief in Anthropogenic Climate Change: A Meta-analysis
Authors: Jeanne Marit Bogert, Jacek Buczny, Jeffrey A. Harvey, Jacintha Ellers
Journal: Environmental Communication · DOI: 10.1080/17524032.2023.2280749 · Citations: 43
Matched topics: climate change
A consensus gap exists between scientific and public opinion on the existence and causes of anthropogenic climate change (ACC). Public opinion on ACC is influenced by individual trust in science and the use of different media sources. We used systematic review and applied meta-analysis to examine how trust in science and the use of new versus traditional, and centralized versus user-generated media are related to public opinion on ACC. We compiled two data sets: trust in science (n = 13, k = …
Local and regional climate trends and variabilities in Ethiopia: Implications for climate change adaptations
Authors: Temesgen Gashaw, Gizachew Belay Wubaye, Abeyou W. Worqlul, Yihun T. Dile, Jemal Ali Mohammed, Dereje Ademe Birhan et al.
Journal: Environmental Challenges · DOI: 10.1016/j.envc.2023.100794 · Citations: 42
Matched topics: climate change
Ethiopia is experiencing considerable impact of climate change and variability in the last five decades. Analyzing climate trends and variability is essential to develop effective adaptation strategies, particularly for countries vulnerable to climate change. This study analyzed trends and variabilities of climate (rainfall, maximum temperature (Tmax), and minimum temperature (Tmin)) at local and regional scales in Ethiopia. The local analysis was carried out considering each meteorological s…
Improvements in the Canadian Earth System Model (CanESM) through systematic model analysis: CanESM5.0 and CanESM5.1
Authors: M. Sigmond, J. Anstey, V. Arora, Ruth A. R. Digby, N. Gillett, V. Kharin et al.
Journal: Geoscientific Model Development · DOI: 10.5194/gmd-16-6553-2023 · Citations: 39
Matched topics: earth system model
Abstract. The Canadian Earth System Model version 5.0 (CanESM5.0), the most recent major version of the global climate model developed at the Canadian Centre for Climate Modelling and Analysis (CCCma) at Environment and Climate Change Canada (ECCC), has been used extensively in climate research and for providing future climate projections in the context of climate services. Previous studies have shown that CanESM5.0 performs well compared to other models and have revealed several model biases…
Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection
Authors: Jingyao Gai, Jingyong Wang, Sasa Xie, Lirong Xiang, Ziting Wang
Journal: Precision Agriculture · DOI: 10.1007/s11119-023-10082-0 · Citations: 39
Matched topics: drought
Abstract not available.
Cover crop-mediated soil carbon storage and soil health in semi-arid irrigated cropping systems
Authors: Pramod Acharya, Rajan Ghimire, Verónica Acosta‐Martínez
Journal: Agriculture Ecosystems & Environment · DOI: 10.1016/j.agee.2023.108813 · Citations: 39
Matched topics: irrigation
Abstract not available.
Unveiling an Environmental Drought Index and its applicability in the perspective of drought recognition amidst climate change
Authors: Aman Srivastava, Rajib Maity
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.130462 · Citations: 29
Matched topics: streamflow, drought, climate change
Abstract not available.
Flood Risk Assessment and Extreme Precipitation
Flood risk assessment and extreme precipitation research are well represented this week with 1 papers advancing methodologies for flood susceptibility mapping, early warning systems, and resilience evaluation. Multiple studies employ GIS-based multi-criteria approaches and machine learning methods for spatial flood hazard assessment across diverse regions. Research also addresses the social dimensions of flood preparedness and strategic planning for flood mitigation.
Modelling the compound floods upon combined rainfall and storm surge events in a low-lying coastal city
Authors: Liang Gao, Haoxuan Du, Hui Huang, Limin Zhang, Ping Zhang
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2023.130476 · Citations: 40
Matched topics: flood
• Developing a compound flood model that incorporates drainage backflow into urban inundation processes. • Assessing joint probability of compound flood hazards caused by both rainfall and storm tides. • Delineating flood zones by considering the combined impacts of rainfall and storm tide. Low-lying coastal cities are highly vulnerable to compound floods, which may result from a simultaneous occurrence of storm surges and heavy rainfall. Systematic numerical analysis is essential for project…
Machine Learning and AI for Hydrological Prediction
This week’s 9 papers demonstrate continued momentum in applying machine learning and artificial intelligence to hydrological prediction challenges. Contributions span groundwater level forecasting, streamflow prediction, river flow modeling, and physics-informed approaches that integrate domain knowledge with data-driven methods. Notable advances include uncertainty quantification in ML predictions and optimization of model architectures for improved hydrological forecasting.
Learning skillful medium-range global weather forecasting
Authors: Rémi Lam, Álvaro Sánchez‐González, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet et al.
Journal: Science · DOI: 10.1126/science.adi2336 · Citations: 1080
Matched topics: river
Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy but does not directly use historical weather data to improve the underlying model. Here, we introduce GraphCast, a machine learning-based method trained directly from reanalysis data. It predicts hundreds of weather variables for the next 10 days at 0.25° resolution globally in und…
FuXi: a cascade machine learning forecasting system for 15-day global weather forecast
Authors: Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Qi Yuan et al.
Journal: npj Climate and Atmospheric Science · DOI: 10.1038/s41612-023-00512-1 · Citations: 268
Matched topics: land surface model, earth system model
Abstract Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML models that have superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)’s high-resolution forecast (HRES), which is widely considered as the world’s best physics-based weather forecasting system. Specifically, ML models have outperformed HRES in 10-day forecasts with a spatial resolution of 0.25 ∘ . However, the…
Characterizing uncertainty in process-based hydraulic modeling, exemplified in a semiarid Inner Mongolia steppe
Authors: Ying Zhao, Haixia Wang, Bing Song, Pengfei Xue, Wangchen Zhang, Stephan Peth et al.
Journal: Geoderma · DOI: 10.1016/j.geoderma.2023.116713 · Citations: 123
Matched topics: hydrologic model, earth system model
Assessing root sources of three uncertainties – parameterization of soil hydraulic characteristics, boundary conditions, and estimation of source/sink terms – is a significant challenge in soil water transport modeling. This study aims to evaluate the uncertainty of three each widely-used parameter estimation methods affecting plot-scale water dynamics. The study employs HYDRUS, a process-based hydrologic model, to incorporate these uncertainties and compare model predictions to measured valu…
Long short-term memory models of water quality in inland water environments
Authors: JongCheol Pyo, Yakov Pachepsky, Soobin Kim, Ather Abbas, Minjeong Kim, Yong Sung Kwon et al.
Journal: Water Research X · DOI: 10.1016/j.wroa.2023.100207 · Citations: 61
Matched topics: hydrology, streamflow, earth system model
Water quality is substantially influenced by a multitude of dynamic and interrelated variables, including climate conditions, landuse and seasonal changes. Deep learning models have demonstrated predictive power of water quality due to the superior ability to automatically learn complex patterns and relationships from variables. Long short-term memory (LSTM), one of deep learning models for water quality prediction, is a type of recurrent neural network that can account for longer-term traits…
S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images
Authors: Marc Wieland, Florian Fichtner, Sandro Martinis, Sandro Groth, Christian Krullikowski, Simon Plank et al.
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · DOI: 10.1109/jstars.2023.3333969 · Citations: 47
Matched topics: hydrology, surface water
This study introduces the S1S2-Water dataset – a global reference dataset for training, validation and testing of convolutional neural networks for semantic segmentation of surface water bodies in publicly available Sentinel-1 and Sentinel-2 satellite images. The dataset consists of 65 triplets of Sentinel-1 and Sentinel-2 images with quality checked binary water mask. Samples are drawn globally on the basis of the Sentinel-2 tile-grid (100 x 100 km) under consideration of pre-dominant landco…
Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach
Authors: Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou, George E. Tsekouras
Journal: ISPRS International Journal of Geo-Information · DOI: 10.3390/ijgi12110464 · Citations: 29
Matched topics: hydrology, hydrologic model, streamflow, flood, hydropower
The occurrence of flash floods in urban catchments within the Mediterranean climate zone has witnessed a substantial rise due to climate change, underscoring the urgent need for early-warning systems. This paper examines the implementation of an early flood monitoring and forecasting system (EMFS) to predict the critical overflow level of a small urban stream on Lesvos Island, Greece, which has a history of severe flash flood incidents requiring rapid response. The system is supported by a ne…
Improved global 250 m 8-day NDVI and EVI products from 2000–2021 using the LSTM model
Authors: Changhao Xiong, Han Ma, Shunlin Liang, Tao He, Yufang Zhang, Guodong Zhang et al.
Journal: Scientific Data · DOI: 10.1038/s41597-023-02695-x · Citations: 44
Matched topics: land surface model
Satellite vegetation index (VI) products, such as normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), have been widely used. However, they are severely contaminated by clouds and other factors and provide false signals of the surface vegetation conditions. In this study, the new global seamless 250 m, eight-day NDVI and EVI products from 2000-2021 were developed from Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance data using a long shor…
Runoff time series prediction based on hybrid models of two-stage signal decomposition methods and LSTM for the Pearl River in China
Authors: Zhao Guo, Qian-Qian Zhang, Nan Li, Yun-Qiu Zhai, Wen-Tao Teng, Shuangshuang Liu et al.
Journal: Hydrology research · DOI: 10.2166/nh.2023.069 · Citations: 17
Matched topics: hydrology, hydrologic model, river, runoff, streamflow, hydropower
Abstract Hydrological runoff prediction is vital for water resource management. The non-linear and non-stationary runoff series and the complex hydrological features for large-scale basins make it difficult to predict. Long short-term memory (LSTM) is effective for runoff prediction but unstable for large-scale basins. This study develops three hybrid models combined with two-stage decomposition and LSTM, including wavelet transformation (WT) combined with complete ensemble empirical mode dec…
Meteorological drought assessment in northern Bangladesh: A machine learning-based approach considering remote sensing indices
Authors: Md. Ashhab Sadiq, Showmitra Kumar Sarkar, Saima Sekander Raisa
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.111233 · Citations: 36
Matched topics: drought, land surface model
Meteorological drought, driven by inadequate precipitation, has significant repercussions for water resources, agriculture, and human well-being. This study conducted an extensive assessment of meteorological drought in northern Bangladesh, employing remote sensing indices and machine learning techniques. The main aim was to evaluate meteorological drought occurrences in northern Bangladesh from 2010 to 2019, utilizing seven drought parameters and a machine learning model. Utilizing a Random …
Hydropower and Renewable Energy-Water Systems
The integration of hydropower with renewable energy systems is addressed by 2 papers this week, focusing on optimal capacity configuration, generation prediction, and climate change adaptation strategies for hybrid energy-water systems. Studies demonstrate the complementary potential of hydro-wind-solar systems and explore machine learning approaches for hydropower generation forecasting.
Complementary scheduling rules for hybrid pumped storage hydropower-photovoltaic power system reconstructing from conventional cascade hydropower stations
Authors: Qiaofeng Tan, Zhuang Nie, Xin Wen, Huaying Su, Guohua Fang, Ziyi Zhang
Journal: Applied Energy · DOI: 10.1016/j.apenergy.2023.122250 · Citations: 85
Matched topics: hydropower
Abstract not available.
Unraveling the factors influencing CO2 emissions from hydroelectric reservoirs in karst and non-karst regions: A comparative analysis
Authors: Wanfa Wang, Si‐Liang Li, Jun Zhong, Yuanbi Yi, Fujun Yue, Zenglei Han et al.
Journal: Water Research · DOI: 10.1016/j.watres.2023.120893 · Citations: 56
Matched topics: reservoir
Abstract not available.
Water Management, Irrigation, and Groundwater
Water management research this week spans 3 papers covering integrated water resources management, irrigation scheduling, groundwater monitoring, and water-energy-food nexus analyses. Studies range from global-scale assessments to site-specific irrigation optimization, with particular attention to satellite-based monitoring of water use and land subsidence from groundwater extraction.
Living within the safe and just Earth system boundaries for blue water
Authors: Ben Stewart‐Koster, Stuart E. Bunn, Pamela Green, Christopher E. Ndehedehe, Lauren Seaby Andersen, David I. Armstrong McKay et al.
Journal: Nature Sustainability · DOI: 10.1038/s41893-023-01247-w · Citations: 68
Matched topics: hydrology, water management, land surface model, surface water
Abstract Safe and just Earth system boundaries (ESBs) for surface water and groundwater (blue water) have been defined for sustainable water management in the Anthropocene. Here we assessed whether minimum human needs could be met with surface water from within individual river basins alone and, where this is not possible, quantified how much groundwater would be required. Approximately 2.6 billion people live in river basins where groundwater is needed because they are already outside the su…
The impact of human activities on blue-green water resources and quantification of water resource scarcity in the Yangtze River Basin
Authors: Fan Wu, Xiaoli Yang, Zhouyu Cui, Liliang Ren, S. S. Jiang, Yi Liu et al.
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.168550 · Citations: 74
Matched topics: river, water management
1.5) account for 1.3 %, 9.8 %, and 17 % of the upstream, midstream and downstream, respectively. (4) Irrigation activities are the main factor causing water resource scarcity. In the future, it is important to reasonably develop the potential for GW utilization and optimize BW management measures to address water resource crises.
Analysis of coupling coordination and obstacle factors between tourism development and ecosystem services value: A case study of the Yellow River Basin, China
Authors: Xiaorong He, Chaoyue Cai, Jianxiong Tang, Jizhi Shi, Yang Ru-bin
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.111234 · Citations: 42
Matched topics: river
The rapid development of tourism has caused a series of impacts on the ecosystem. Although studies on the relationship between tourism development (TD) and the ecological environment are rich, few scholars have focused on the coupling coordination between them from the perspective of ecosystem services value (ESV). Given this research gap, we evaluated the levels of TD and ESV in 78 cities of the Yellow River Basin (YRB), China based on statistical and land-use data. Then, the coupling coordi…
Hydrological Processes, Snow Dynamics, and Remote Sensing
This theme encompasses 10 papers advancing understanding of hydrological processes through field observations, modeling, and remote sensing. Research covers snow distribution and dynamics in cold regions, forest-hydrology interactions, land use change impacts on river systems, rainfall-runoff modeling uncertainty, and satellite-based monitoring of terrestrial water resources.
Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium
Authors: Feng Chen, W. Man, Shijie Wang, J. Esper, David Meko, Ulf Büntgen et al.
Journal: Nature Geoscience · DOI: 10.1038/s41561-023-01320-1 · Citations: 96
Matched topics: streamflow
Abstract not available.
Spatial distribution and partition of polycyclic aromatic hydrocarbons (PAHs) in the water and sediment of the southern Bohai Sea: Yellow River and PAH property influences
Authors: Yuanxin Cao, Jing Wang, Ming Xin, Baodong Wang, Chunye Lin
Journal: Water Research · DOI: 10.1016/j.watres.2023.120873 · Citations: 82
Matched topics: river, surface water
Abstract not available.
Mitigating greenhouse gas emissions from municipal wastewater treatment in China
Authors: Yindong Tong, Xiawei Liao, Yanying He, Xiaomei Cui, Marcus J. Wishart, Zhao Feng et al.
Journal: Environmental Science and Ecotechnology · DOI: 10.1016/j.ese.2023.100341 · Citations: 70
Matched topics: hydropower
O emissions and electricity consumption. We can foresee a 60-65% reduction potential in GHG emissions with promising advancements in wastewater treatment, such as cutting-edge biological techniques, intelligent wastewater strategies, and a shift towards renewable energy sources.
Effects of different vegetation components on soil erosion and response to rainfall intensity under simulated rainfall
Authors: Shue Wei, Kuandi Zhang, Chenglong Liu, Youdong Cen, Junqiang Xia
Journal: CATENA · DOI: 10.1016/j.catena.2023.107652 · Citations: 67
Matched topics: runoff
Abstract not available.
Higher global gross primary productivity under future climate with more advanced representations of photosynthesis
Authors: Jürgen Knauer, Matthias Cuntz, Benjamin Smith, Josep G. Canadell, Belinda E. Medlyn, Alison C. Bennett et al.
Journal: Science Advances · DOI: 10.1126/sciadv.adh9444 · Citations: 40
Matched topics: hydrology, land surface model, earth system model
and climate conditions.
Tracking lake drainage events and drained lake basin vegetation dynamics across the Arctic
Authors: Yating Chen, Xiao Cheng, Aobo Liu, Qingfeng Chen, Chengxin Wang
Journal: Nature Communications · DOI: 10.1038/s41467-023-43207-0 · Citations: 43
Matched topics: hydrology, surface water
Widespread lake drainage can lead to large-scale drying in Arctic lake-rich areas, affecting hydrology, ecosystems and permafrost carbon dynamics. To date, the spatio-temporal distribution, driving factors, and post-drainage dynamics of lake drainage events across the Arctic remain unclear. Using satellite remote sensing and surface water products, we identify over 35,000 (~0.6% of all lakes) lake drainage events in the northern permafrost zone between 1984 and 2020, with approximately half b…
Identification of point and nonpoint emission sources of neonicotinoid pollution in regional surface water
Authors: Yuanchen Chen, Jun Ling, Wenfei Yu, Li Zhang, Ruxin Wu, Dan Yang et al.
Journal: Water Research · DOI: 10.1016/j.watres.2023.120863 · Citations: 43
Matched topics: runoff, surface water
Abstract not available.
Impact of Satellite-Derived Land Cover Resolution Using Machine Learning and Hydrological Simulations
Authors: Fatima Hanif, Shinjiro Kanae, Rashid Farooq, M. Rashid Iqbal, Andrea Petroselli
Journal: Remote Sensing · DOI: 10.3390/rs15225338 · Citations: 31
Matched topics: hydrology, hydrologic model, runoff, streamflow
This study carefully assesses the capability of supervised machine learning classification algorithms in identifying land cover (LC) in the context of the Jhelum River basin in Kashmir. Sentinel 2 and Landsat 8 high-resolution data from two satellite sources were used. Through preprocessing techniques, we removed any potential noise inherent to satellite imagery and assured data consistency. The study then utilized and compared the skills of the supervised algorithms random forest (RF) and su…
Climate change impacts on streamflow, sediment load and carbon fluxes in the Lena River delta
Authors: Sergey Chalov, Kristina Prokopeva, D. V. Magritsky, V. Yu. Grigoriev, Evgeniya Fingert, Michał Habel et al.
Journal: Ecological Indicators · DOI: 10.1016/j.ecolind.2023.111252 · Citations: 30
Matched topics: river, streamflow, climate change
Water and sediment supply are essential to the health of deltaic ecosystems. Diverse datasets were integrated to better understand how climate change is shifting the supply of water and sediment to the largest polar distributary channel pattern – the Lena River Delta. Here the increase in warming rate from an average air temperature is from 4.1 °C for the period 1950–99 to 6.1 °C during 2000–21, which is higher than in the adjacent polar regions. Streamflow and sediment yield entering the Len…
Modeling the transport of microplastics along river networks
Authors: Nerea Portillo De Arbeloa, Alessandra Marzadri
Journal: The Science of The Total Environment · DOI: 10.1016/j.scitotenv.2023.168227 · Citations: 29
Matched topics: hydrology, river, streamflow
=0.72). Consequently, predicted MP data was used to perform a potential pollution assessment through the pollution load index, revealing in most cases higher MP contamination in headwaters stream and a dilution effect along the river network. The structure of the proposed model allows its further implementation to account for other transport mechanisms, interactions with other emerging contaminants (i.e., pharmaceuticals), and connections with other riverine environments, making it a valuable…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 855 |
| After deduplication | 628 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 578 |
Papers by journal
| Journal | Papers |
|---|---|
| Water Research | 3 |
| Ecological Indicators | 3 |
| Nature Communications | 2 |
| Geophysical Research Letters | 2 |
| The Science of The Total Environment | 2 |
| Journal of Hydrology | 2 |
| Science | 1 |
| Nature Reviews Earth & Environment | 1 |
| Nature | 1 |
| npj Climate and Atmospheric Science | 1 |
| Nature Water | 1 |
| Geoderma | 1 |
| Nature Geoscience | 1 |
| Journal of Cleaner Production | 1 |
| Borsa Istanbul Review | 1 |
| Applied Energy | 1 |
| Nature Sustainability | 1 |
| Frontiers in Science | 1 |
| Journal of International Money and Finance | 1 |
| Water Research X | 1 |
| Journal of Climate | 1 |
| Environmental Science and Ecotechnology | 1 |
| CATENA | 1 |
| Journal of Empirical Finance | 1 |
| IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 1 |
| Agricultural Water Management | 1 |
| Science Advances | 1 |
| European Journal of Operational Research | 1 |
| ISPRS International Journal of Geo-Information | 1 |
| Plant Physiology and Biochemistry | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Nature Climate Change | 1 |
| Annual Review of Environment and Resources | 1 |
| Remote Sensing | 1 |
| Hydrology and earth system sciences | 1 |
| Scientific Data | 1 |
| Environmental Communication | 1 |
| Environmental Challenges | 1 |
| Geoscientific Model Development | 1 |
| Hydrology research | 1 |
| Precision Agriculture | 1 |
| Agriculture Ecosystems & Environment | 1 |
Filtering Criteria
Topics: hydrology, hydrologic model, river, runoff, streamflow, reservoir, water management, flood, drought, seasonal, land surface model, climate change, hydropower, surface water, irrigation, earth system model
Databases: Semantic Scholar, OpenAlex