Weekly Literature Review
Week 51 · December 14–December 20, 2020
50 relevant papers found across 6 themes
Executive Summary
This week’s review covers 50 papers across Flood Modeling and Risk Assessment, Drought Analysis and Prediction, Streamflow Forecasting and Machine Learning, Climate Change and Water Resources, Hydrologic Modeling and Calibration, and Water Management and Sustainability.
Table of Contents
- Executive Summary
- Flood Modeling and Risk Assessment
- Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates
- Urban surface water flood modelling – a comprehensive review of current models and future challenges
- Deep learning neural networks for spatially explicit prediction of flash flood probability
- Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
- A new era of flood control strategies from the perspective of managing the 2020 Yangtze River flood
- Flooding Tolerance in Rice: Focus on Mechanisms and Approaches
- Drought Analysis and Prediction
- Streamflow Forecasting and Machine Learning
- Climate Change and Water Resources
- An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set
- Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria
- Greater Greenland Ice Sheet contribution to global sea level rise in CMIP6
- Do CMIP6 Climate Models Simulate Global or Regional Compound Events Skillfully?
- Low potential for evolutionary rescue from climate change in a tropical fish
- Black locust (Robinia pseudoacaciaL.) range contraction and expansion in Europe under changing climate
- Evapotranspiration components and water use efficiency from desert to alpine ecosystems in drylands
- Global Potato Yields Increase Under Climate Change With Adaptation and CO2 Fertilisation
- Hydrologic Modeling and Calibration
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
- Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
- Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling
- BIM-Based Tunnel Information Modeling Framework for Visualization, Management, and Simulation of Drill-and-Blast Tunneling Projects
- Effects of length and application rate of rice straw mulch on surface runoff and soil loss under laboratory simulated rainfall
- Water Management and Sustainability
- More than one million barriers fragment Europe’s rivers
- A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970–2017): an application of the Community Emissions Data System (CEDS)
- The Berkeley Earth Land/Ocean Temperature Record
- Electrochemical carbon dioxide capture to close the carbon cycle
- Predicting long-term dynamics of soil salinity and sodicity on a global scale
- Carbon Capture From Flue Gas and the Atmosphere: A Perspective
- SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives
- Land Surface Air Temperature Variations Across the Globe Updated to 2019: The CRUTEM5 Data Set
- A decade of GOSAT Proxy satellite CH 4 observations
- Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images
- In Situ Construction of Uniform and Robust Cathode–Electrolyte Interphase for Li‐Rich Layered Oxides
- Global Drivers on Southern Ocean Ecosystems: Changing Physical Environments and Anthropogenic Pressures in an Earth System
- Mesophication of Oak Landscapes: Evidence, Knowledge Gaps, and Future Research
- Agroecology in Large Scale Farming—A Research Agenda
- Carbon sequestration and storage potential of urban green in residential yards: A case study from Helsinki
- Soil Salinity Research in 21st Century in Pakistan: Its Impact on Availability of Plant Nutrients, Growth and Yield of Crops
- Cotton/halophytes intercropping decreases salt accumulation and improves soil physicochemical properties and crop productivity in saline-alkali soils under mulched drip irrigation: A three-year field experiment
- A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery
- Continuous Estimates of Glacier Mass Balance in High Mountain Asia Based on ICESat‐1,2 and GRACE/GRACE Follow‐On Data
- Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
- Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem
- Topsoil organic matter build‐up in glacier forelands around the world
- Hydration and Dehydration in Earth’s Interior
- Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory
- Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands
- Accessing Legacy Phosphorus in Soils
- Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China
- Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data
- Statistics
- Filtering Criteria
Flood Modeling and Risk Assessment
This week features 6 papers advancing flood science, spanning susceptibility mapping, risk assessment, and hydrodynamic modeling. Notable contributions from Bates, Guo et al. The studies collectively advance both data-driven and physically-based approaches to flood prediction and management.
Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates
Authors: Paul Bates, Niall Quinn, Christopher Sampson, Andrew Smith, Oliver Wing, Jeison Sosa et al.
Journal: Water Resources Research · DOI: 10.1029/2020wr028673 · Citations: 430
Matched topics: hydrology, hydrologic model, flood, land surface model, earth system model
Abstract This study reports a new and significantly enhanced analysis of US flood hazard at 30 m spatial resolution. Specific improvements include updated hydrography data, new methods to determine channel depth, more rigorous flood frequency analysis, output downscaling to property tract level, and inclusion of the impact of local interventions in the flooding system. For the first time, we consider pluvial, fluvial, and coastal flood hazards within the same framework and provide projections…
Urban surface water flood modelling – a comprehensive review of current models and future challenges
Authors: Kaihua Guo, Mingfu Guan, Dapeng Yu
Journal: Hydrology and Earth System Sciences · DOI: 10.5194/hess-2020-655 · Citations: 234
Matched topics: flood, surface water
Abstract. Urbanisation is an irreversible trend as a result of social and economic development. Urban areas, with high concentration of population, key infrastructure, and businesses, are extremely vulnerable to flooding and may suffer severe socio-economic losses due to climate change. Urban flood modelling tools are in demand to predict surface water inundation caused by intense rainfall and to manage associated flood risks in urban areas. These tools have been rapidly developing in recent …
Deep learning neural networks for spatially explicit prediction of flash flood probability
Authors: Mahdi Panahi, Abolfazl Jaafari, Ataollah Shirzadi, Himan Shahabi, Omid Rahmati, Ebrahim Omidvar et al.
Journal: Geoscience Frontiers · DOI: 10.1016/j.gsf.2020.09.007 · Citations: 158
Matched topics: flood
Flood probability maps are essential for a range of applications, including land use planning and developing mitigation strategies and early warning systems. This study describes the potential application of two architectures of deep learning neural networks, namely convolutional neural networks (CNN) and recurrent neural networks (RNN), for spatially explicit prediction and mapping of flash flood probability. To develop and validate the predictive models, a geospatial database that contained…
Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks
Authors: Mohammad Ahmadlou, A’kif Al-Fugara, Abdel Rahman Al‐Shabeeb, Aman Arora, Rida Al‐Adamat, Quoc Bao Pham et al.
Journal: Journal of Flood Risk Management · DOI: 10.1111/jfr3.12683 · Citations: 145
Matched topics: hydrology, hydrologic model, flood, land surface model, earth system model
Abstract Floods are one of the most destructive natural disasters causing financial damages and casualties every year worldwide. Recently, the combination of data‐driven techniques with remote sensing (RS) and geographical information systems (GIS) has been widely used by researchers for flood susceptibility mapping. This study presents a novel hybrid model combining the multilayer perceptron (MLP) and autoencoder models to produce the susceptibility maps for two study areas located in Iran a…
A new era of flood control strategies from the perspective of managing the 2020 Yangtze River flood
Authors: Jun Xia, Jin Chen
Journal: Science China Earth Sciences · DOI: 10.1007/s11430-020-9699-8 · Citations: 119
Matched topics: river, reservoir, water management, flood
Abstract not available.
Flooding Tolerance in Rice: Focus on Mechanisms and Approaches
Authors: Debabrata Panda, Jijnasa Barik
Journal: Rice Science · DOI: 10.1016/j.rsci.2020.11.006 · Citations: 102
Matched topics: flood
Flooding is one of the most hazardous natural disasters and a major stress constraint to rice production throughout the world, which results in huge economic loss. Approximately one-fourth of the global rice crops (approximately 40 million hectares) are grown in rainfed lowland plots that are prone to seasonal flooding. A great progress has been made during last two decades in our understanding of the mechanisms involved in adaptation and tolerance to flooding/submergence in rice. In this rev…
Drought Analysis and Prediction
Drought research this week encompasses 2 studies covering monitoring, prediction, and impact assessment. Key work by Xu, Yang et al. highlights advances in drought characterization across multiple spatial and temporal scales.
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products
Authors: Lei Xu, Nengcheng Chen, Xiang Zhang, Hamid Moradkhani, Chong Zhang, Chuli Hu
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2020.112248 · Citations: 184
Matched topics: water management, drought, surface water
Abstract not available.
Evolution of NDVI secular trends and responses to climate change: A perspective from nonlinearity and nonstationarity characteristics
Authors: Liqin Yang, Qingyu Guan, Jinkuo Lin, Jing Tian, Zhe Tan, Huichun Li
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2020.112247 · Citations: 116
Matched topics: drought, climate change
Abstract not available.
Streamflow Forecasting and Machine Learning
Machine learning and data-driven approaches to streamflow prediction feature prominently with 1 papers. The studies demonstrate continued innovation in hybrid modeling frameworks, signal decomposition techniques, and ensemble methods for improved hydrological forecasting.
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data
Authors: F. Rahmani, K. Lawson, Wenyu Ouyang, A. Appling, S. Oliver, Chaopeng Shen
Journal: Environmental Research Letters · DOI: 10.1088/1748-9326/abd501 · Citations: 135
Matched topics: streamflow, surface water
Stream water temperature (T s) is a variable of critical importance for aquatic ecosystem health. T s is strongly affected by groundwater-surface water interactions which can be learned from streamflow records, but previously such information was challenging to effectively absorb with process-based models due to parameter equifinality. Based on the long short-term memory (LSTM) deep learning architecture, we developed a basin-centric lumped daily mean T s model, which was trained over 118 dat…
Climate Change and Water Resources
Climate-water interactions are explored in 8 papers this week, addressing impacts on the cryosphere, water cycle components, and regional water resources under changing conditions.
An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set
Authors: Colin Morice, John Kennedy, Nick A Rayner, Jonathan Winn, Emily Hogan, Rachel Killick et al.
Journal: Journal of Geophysical Research Atmospheres · DOI: 10.1029/2019jd032361 · Citations: 945
Matched topics: hydrologic model, land surface model, earth system model
Abstract We present a new version of the Met Office Hadley Centre/Climatic Research Unit global surface temperature data set, HadCRUT5. HadCRUT5 presents monthly average near‐surface temperature anomalies, relative to the 1961–1990 period, on a regular 5° latitude by 5° longitude grid from 1850 to 2018. HadCRUT5 is a combination of sea‐surface temperature (SST) measurements over the ocean from ships and buoys and near‐surface air temperature measurements from weather stations over the land su…
Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria
Authors: Charafeddine Mokhtara, Belkhir Negrou, Noureddine Settou, Belkhir Settou, Mohamed Mahmoud Samy
Journal: Energy · DOI: 10.1016/j.energy.2020.119605 · Citations: 305
Matched topics: climate change
Abstract not available.
Greater Greenland Ice Sheet contribution to global sea level rise in CMIP6
Authors: Stefan Hofer, Charlotte Lang, Charles Amory, Christoph Kittel, Alison Delhasse, Andrew Tedstone et al.
Journal: Nature Communications · DOI: 10.1038/s41467-020-20011-8 · Citations: 168
Matched topics: runoff, land surface model, earth system model
Abstract Future climate projections show a marked increase in Greenland Ice Sheet (GrIS) runoff during the 21 st century, a direct consequence of the Polar Amplification signal. Regional climate models (RCMs) are a widely used tool to downscale ensembles of projections from global climate models (GCMs) to assess the impact of global warming on GrIS melt and sea level rise contribution. Initial results of the CMIP6 GCM model intercomparison project have revealed a greater 21 st century tempera…
Do CMIP6 Climate Models Simulate Global or Regional Compound Events Skillfully?
Authors: Nina Ridder, A. J. Pitman, Anna Ukkola
Journal: Geophysical Research Letters · DOI: 10.1029/2020gl091152 · Citations: 164
Matched topics: hydrology, streamflow, drought, land surface model, earth system model
Abstract Compound events have the potential to cause high socioeconomic and environmental losses. We examine the ability of the sixth phase of the Coupled Model Intercomparison Project (CMIP6) models to capture two bivariate compound events: the co‐occurrence of heavy rain and strong wind, and heat waves and meteorological drought. We evaluate the models over North America, Europe, Eurasia, and Australia using observations and reanalysis data set spanning 1980–2014. Some of the CMIP6 models c…
Low potential for evolutionary rescue from climate change in a tropical fish
Authors: Rachael Morgan, Mette H. Finnøen, Henrik Jensen, Christophe Pélabon, Fredrik Jutfelt
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2011419117 · Citations: 155
Matched topics: climate change
) to increase (Up-selected) or decrease (Down-selected) upper thermal tolerance over six generations. Selection to increase upper thermal tolerance was also performed on warm-acclimated fish to test whether plasticity in the form of inducible warm tolerance also evolved. Upper thermal tolerance responded to selection in the predicted directions. However, compared to the control lines, the response was stronger in the Down-selected than in the Up-selected lines in which evolution toward higher…
Black locust (Robinia pseudoacaciaL.) range contraction and expansion in Europe under changing climate
Authors: Radosław Puchałka, Marcin K. Dyderski, Michaela Vítková, Jiřı́ Sádlo, Marcin Klisz, Maksym Netsvetov et al.
Journal: Global Change Biology · DOI: 10.1111/gcb.15486 · Citations: 140
Matched topics: climate change
Robinia pseudoacacia is one of the most frequent non-native species in Europe. It is a fast-growing tree of high economic and cultural importance. On the other hand, it is an invasive species, causing changes in soil chemistry and light regime, and consequently altering the plant communities. Previously published models developed for the potential distribution of R. pseudoacacia concerned 2070, and were based mainly on data from Western and Central Europe; here we extended these findings and …
Evapotranspiration components and water use efficiency from desert to alpine ecosystems in drylands
Authors: Haibo Wang, Xin Li, Jingfeng Xiao, Mingguo Ma
Journal: Agricultural and Forest Meteorology · DOI: 10.1016/j.agrformet.2020.108283 · Citations: 110
Matched topics: water management, irrigation
Abstract not available.
Global Potato Yields Increase Under Climate Change With Adaptation and CO2 Fertilisation
Authors: Stewart Jennings, Ann‐Kristin Koehler, Kathryn Jane Nicklin, Chetan Deva, Steven M. Sait, Andrew J. Challinor
Journal: Frontiers in Sustainable Food Systems · DOI: 10.3389/fsufs.2020.519324 · Citations: 98
Matched topics: climate change
The contribution of potatoes to the global food supply is increasing—consumption more than doubled in developing countries between 1960 and 2005. Understanding climate change impacts on global potato yields is therefore important for future food security. Analyses of climate change impacts on potato compared to other major crops are rare, especially at the global scale. Of two global gridded potato modeling studies published at the time of this analysis, one simulated the impacts of temperatu…
Hydrologic Modeling and Calibration
Hydrologic model development and evaluation features 5 papers covering precipitation estimation, model calibration, rainfall-runoff processes, and large-scale simulation advances.
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support
Authors: Saman Razavi, Anthony J. Jakeman, Andrea Saltelli, Clémentine Prieur, Bertrand Iooss, Emanuele Borgonovo et al.
Journal: Environmental Modelling & Software · DOI: 10.1016/j.envsoft.2020.104954 · Citations: 575
Matched topics: hydrology, hydrologic model, land surface model, earth system model
Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven modeling of human and natural systems, and in support of decision making. In this perspective paper, a multidisciplinary group of researchers and practitioners revisit the current status of SA, and outline research challenges in regard to both theoretical frameworks and their …
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Authors: D. Klotz, Frederik Kratzert, M. Gauch, A. Sampson, G. Klambauer, Sepp Hochreiter et al.
Journal: Hydrology and Earth System Sciences · DOI: 10.31223/x5js4t · Citations: 157
Matched topics: runoff
Abstract. Deep Learning is becoming an increasingly important way to produce accurate hydrological predictions across a wide range of spatial and temporal scales. Uncertainty estimations are critical for actionable hydrological forecasting, and while standardized community benchmarks are becoming an increasingly important part of hydrological model development and research, similar tools for benchmarking uncertainty estimation are lacking. This contributions demonstrates that accurate uncerta…
Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling
Authors: Jiabo Yin, Shenglian Guo, Lei Gu, Ziyue Zeng, Dedi Liu, Jie Chen et al.
Journal: Journal of Hydrology · DOI: 10.1016/j.jhydrol.2020.125878 · Citations: 127
Matched topics: hydrologic model, streamflow
Abstract not available.
BIM-Based Tunnel Information Modeling Framework for Visualization, Management, and Simulation of Drill-and-Blast Tunneling Projects
Authors: Abubakar Sharafat, Muhammad Shoaib Khan, Kamran Latif, Jongwon Seo
Journal: Journal of Computing in Civil Engineering · DOI: 10.1061/(asce)cp.1943-5487.0000955 · Citations: 109
Matched topics: hydropower
Tunnel construction fundamentally differs from building and aboveground civil infrastructure projects. Drill-and-blast is one of the most common and flexible tunnel construction methods. However, it is complex and challenging because a large amount of data is generated from dispersed, independent, and heterogeneous sources. The tunneling industry still uses traditional project management techniques to manage complex interactions between these data sources that are hardly linked, and independe…
Effects of length and application rate of rice straw mulch on surface runoff and soil loss under laboratory simulated rainfall
Authors: Misagh Parhizkar, Mahmood Shabanpour, Manuel Esteban Lucas‐Borja, Demetrio Antonio Zema, Siyue Li, Nobuaki Tanaka et al.
Journal: International Journal of Sediment Research · DOI: 10.1016/j.ijsrc.2020.12.002 · Citations: 94
Matched topics: hydrologic model, runoff, water management, land surface model, surface water
Abstract not available.
Water Management and Sustainability
Water management research spans 28 papers addressing topics from irrigation optimization and reservoir operations to water resource assessment and sustainability frameworks.
More than one million barriers fragment Europe’s rivers
Authors: Barbara Belletti, Carlos García de Leániz, Joshua Jones, Simone Bizzi, Luca Börger, Gilles Segura et al.
Journal: Nature · DOI: 10.1038/s41586-020-3005-2 · Citations: 665
Matched topics: hydrologic model, river, water management, land surface model, hydropower, surface water, earth system model
. In Europe, attempts to quantify river connectivity have been hampered by the absence of a harmonized barrier database. Here we show that there are at least 1.2 million instream barriers in 36 European countries (with a mean density of 0.74 barriers per kilometre), 68 per cent of which are structures less than two metres in height that are often overlooked. Standardized walkover surveys along 2,715 kilometres of stream length for 147 rivers indicate that existing records underestimate barrie…
A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970–2017): an application of the Community Emissions Data System (CEDS)
Authors: Erin E. McDuffie, Steven J. Smith, Patrick O’Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloïse A. Marais et al.
Journal: Earth system science data · DOI: 10.5194/essd-12-3413-2020 · Citations: 589
Matched topics: earth system model
Abstract. Global anthropogenic emission inventories remain vital for understanding the sources of atmospheric pollution and the associated impacts on the environment, human health, and society. Rapid changes in today’s society require that these inventories provide contemporary estimates of multiple atmospheric pollutants with both source sector and fuel type information to understand and effectively mitigate future impacts. To fill this need, we have updated the open-source Community Emissio…
The Berkeley Earth Land/Ocean Temperature Record
Authors: Robert Rohde, Zeke Hausfather
Journal: Earth system science data · DOI: 10.5194/essd-12-3469-2020 · Citations: 510
Matched topics: land surface model, earth system model
Abstract. A global land–ocean temperature record has been created by combining the Berkeley Earth monthly land temperature field with spatially kriged version of the HadSST3 dataset. This combined product spans the period from 1850 to present and covers the majority of the Earth’s surface: approximately 57 % in 1850, 75 % in 1880, 95 % in 1960, and 99.9 % by 2015. It includes average temperatures in 1∘×1∘ lat–long grid cells for each month when available. It provides a global mean temperature…
Electrochemical carbon dioxide capture to close the carbon cycle
Authors: Rezvan Sharifian, R. Martijn Wagterveld, Ibadillah A. Digdaya, Chengxiang Xiang, David A. Vermaas
Journal: Energy & Environmental Science · DOI: 10.1039/d0ee03382k · Citations: 488
Matched topics: land surface model, earth system model
An overview of the state-of-the-art for capturing CO2via electrochemical routes.
Predicting long-term dynamics of soil salinity and sodicity on a global scale
Authors: Amirhossein Hassani, Adisa Azapagic, Nima Shokri
Journal: Proceedings of the National Academy of Sciences · DOI: 10.1073/pnas.2013771117 · Citations: 401
Matched topics: hydrology, hydrologic model, land surface model, earth system model
of this area being croplands. Although the net changes in soil salinity/sodicity and the total area of salt-affected soils have been geographically highly variable, the continents with the highest salt-affected areas are Asia (particularly China, Kazakhstan, and Iran), Africa, and Australia. The proposed method can also be applied for quantifying the spatiotemporal variability of other dynamic soil properties, such as soil nutrients, organic carbon content, and pH.
Carbon Capture From Flue Gas and the Atmosphere: A Perspective
Authors: Xiaoxing Wang, Chunshan Song
Journal: Frontiers in Energy Research · DOI: 10.3389/fenrg.2020.560849 · Citations: 385
Matched topics: land surface model
Climate change has become a worldwide concern with the rapid rise of the atmospheric Co2 concentration. To mitigate Co2 emissions, the research and development efforts in Co2 capture and separation both from the stationary sources with high Co2 concentrations (e.g., coal-fired power plant flue gas) and directly from the atmosphere have grown significantly. Much progress has been achieved, especially within the last twenty years. In this perspective, we first briefly review the current status …
SMOS-IC data record of soil moisture and L-VOD: Historical development, applications and perspectives
Authors: Jean‐Pierre Wigneron, Xiaojun Li, Frédéric Frappart, Lei Fan, Amen Al‐Yaari, Gabriëlle De Lannoy et al.
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2020.112238 · Citations: 280
Matched topics: hydrology, land surface model, surface water, earth system model
Passive microwave remote sensing observations at L-band provide key and global information on surface soil moisture and vegetation water content, which are related to the Earth water and carbon cycles. Only two space-borne L-band sensors are currently operating: SMOS, launched end of 2009 and thus providing now a 10-year global data set and SMAP, launched beginning of 2015. This study provides a state-of-the-art scientific overview of the SMOS-IC retrieval data set based on the SMOS L-band ob…
Land Surface Air Temperature Variations Across the Globe Updated to 2019: The CRUTEM5 Data Set
Authors: Timothy J. Osborn, P. D. Jones, David Lister, Colin Morice, I. Simpson, Jonathan Winn et al.
Journal: Journal of Geophysical Research Atmospheres · DOI: 10.1029/2019jd032352 · Citations: 212
Matched topics: hydrologic model, land surface model, earth system model
Abstract Climatic Research Unit temperature version 5 (CRUTEM5) is an extensive revision of our land surface air temperature data set. We have expanded the underlying compilation of monthly temperature records from 5,583 to 10,639 stations, of which those with sufficient data to be used in the gridded data set has grown from 4,842 to 7,983. Many station records have also been extended or replaced by series that have been homogenized by national meteorological and hydrological services. We hav…
A decade of GOSAT Proxy satellite CH 4 observations
Authors: Robert J. Parker, Alex Webb, Hartmut Boesch, Peter Somkuti, Rocío Barrio Guilló, Antonio Di Noia et al.
Journal: Earth system science data · DOI: 10.5194/essd-12-3383-2020 · Citations: 170
Matched topics: land surface model, earth system model
Abstract. This work presents the latest release (v9.0) of the University of Leicester GOSAT Proxy XCH4 dataset. Since the launch of the GOSAT satellite in 2009, these data have been produced by the UK National Centre for Earth Observation (NCEO) as part of the ESA Greenhouse Gas Climate Change Initiative (GHG-CCI) and Copernicus Climate Change Services (C3S) projects. With now over a decade of observations, we outline the many scientific studies achieved using past versions of these data in o…
Land-Use and Land-Cover Classification Using a Human Group-Based Particle Swarm Optimization Algorithm with an LSTM Classifier on Hybrid Pre-Processing Remote-Sensing Images
Authors: Ganesh Babu R., Uma M. Kumarasamy, Chiara Zarro, Parameshachari B. Divakarachari, Silvia Liberata Ullo
Journal: Remote Sensing · DOI: 10.3390/rs12244135 · Citations: 168
Matched topics: land surface model, earth system model
Land-use and land-cover (LULC) classification using remote sensing imagery plays a vital role in many environment modeling and land-use inventories. In this study, a hybrid feature optimization algorithm along with a deep learning classifier is proposed to improve the performance of LULC classification, helping to predict wildlife habitat, deteriorating environmental quality, haphazard elements, etc. LULC classification is assessed using Sat 4, Sat 6 and Eurosat datasets. After the selection …
In Situ Construction of Uniform and Robust Cathode–Electrolyte Interphase for Li‐Rich Layered Oxides
Authors: Jingteng Zhao, Liang Yuan, Xu Zhang, Zihe Zhang, Errui Wang, Shiman He et al.
Journal: Advanced Functional Materials · DOI: 10.1002/adfm.202009192 · Citations: 167
Matched topics: land surface model
Abstract High‐energy‐density Li‐rich layered oxides (LLOs) as promising cathodes for Li‐ion batteries suffer from the dissolution of transition metals (especially manganese) and severe side reactions in conventional electrolytes, which greatly deteriorate their electrochemical performance. Herein, an in situ “anchoring + pouring” synergistic cathode–electrolyte interphase (CEI) construction is realized by using 1,3,6‐hexanetricarbonitrile (HTCN) and tris(trimethylsilyl) phosphate (TMSP) elect…
Global Drivers on Southern Ocean Ecosystems: Changing Physical Environments and Anthropogenic Pressures in an Earth System
Authors: Simon A. Morley, Doris Abele, David K. A. Barnes, César A. Cárdenas, Cédric Cotté, Julian Gutt et al.
Journal: Frontiers in Marine Science · DOI: 10.3389/fmars.2020.547188 · Citations: 144
Matched topics: hydrology, land surface model, surface water
The manuscript assesses the current and expected future global drivers of Southern Ocean (SO) ecosystems. Atmospheric ozone depletion over the Antarctic since the 1970s, has been a key driver, resulting in springtime cooling of the stratosphere and intensification of the polar vortex, increasing the frequency of positive phases of the Southern Annular Mode (SAM). This increases warm air-flow over the East Pacific sector (Western Antarctic Peninsula) and cold air flow over the West Pacific sec…
Mesophication of Oak Landscapes: Evidence, Knowledge Gaps, and Future Research
Authors: Heather D. Alexander, Courtney Siegert, J. Stephen Brewer, Jesse K. Kreye, Marcus A. Lashley, Jennifer K. McDaniel et al.
Journal: BioScience · DOI: 10.1093/biosci/biaa169 · Citations: 142
Matched topics: hydrology, land surface model
Abstract Pyrophytic oak landscapes across the central and eastern United States are losing dominance as shade-tolerant, fire-sensitive, or opportunistic tree species encroach into these ecosystems in the absence of periodic, low-intensity surface fires. Mesophication, a hypothesized process initiated by intentional fire exclusion by which these encroaching species progressively create conditions favorable for their own persistence at the expense of pyrophytic species, is commonly cited as cau…
Agroecology in Large Scale Farming—A Research Agenda
Authors: Pablo Tittonell, Gervasio Piñeiro, Lucas A. Garibaldi, Santiago Dogliotti, Han Olff, Estéban G. Jobbágy
Journal: Frontiers in Sustainable Food Systems · DOI: 10.3389/fsufs.2020.584605 · Citations: 137
Matched topics: hydrologic model, land surface model
Agroecology promises a third way between common global agriculture tradeoffs such as food production and nature conservation, environmental sustainability and ecosystem services. However, most successful examples of mainstreaming agroecology come from smallholder, family agriculture, that represents only about 30% of the world agricultural area. Mainstreaming agroecology among large scale farmers is urgently needed, but it requires addressing specific questions in research, technology and pol…
Carbon sequestration and storage potential of urban green in residential yards: A case study from Helsinki
Authors: Mari Ariluoma, Juudit Ottelin, Ranja Hautamäki, Eeva-Maria Tuhkanen, Miia Mänttäri
Journal: Urban forestry & urban greening · DOI: 10.1016/j.ufug.2020.126939 · Citations: 135
Matched topics: earth system model
Cities have been identified as key actors in climate change mitigation. Nature based carbon sinks have been suggested as a means of mitigating the greenhouse gas emissions of cities. Although there are several studies on the carbon storage and sequestration (CSS) of urban green, the role of residential sites is not fully understood. In addition, the carbon storage of soils is often excluded. Also the implications for planning require more attention. This study estimates the CSS potential of t…
Soil Salinity Research in 21st Century in Pakistan: Its Impact on Availability of Plant Nutrients, Growth and Yield of Crops
Authors: Aaima Syed, Ghulam Sarwar, Sabir Hussain Shah, Muhammad Sher
Journal: Communications in Soil Science and Plant Analysis · DOI: 10.1080/00103624.2020.1854294 · Citations: 133
Matched topics: water management, irrigation
Salinity is affecting a large area of Pakistan. The country is situated in a semiarid and arid region where the climate is subtropical continental and the process of salinization and sodification is in progress. Excessive salt rates are adversely influencing the biological, chemical, and physical properties of soils. These physical and chemical changes influence the activity of soil microbes and plant roots, and eventually affect the crop growth and yield. Therefore, it is essential from the …
Cotton/halophytes intercropping decreases salt accumulation and improves soil physicochemical properties and crop productivity in saline-alkali soils under mulched drip irrigation: A three-year field experiment
Authors: Jiaping Liang, Wenjuan Shi
Journal: Field Crops Research · DOI: 10.1016/j.fcr.2020.108027 · Citations: 133
Matched topics: irrigation
Abstract not available.
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery
Authors: Hongwei Guo, Jinhui Jeanne Huang, Bowen Chen, Xiaolong Guo, Vijay P. Singh
Journal: International Journal of Remote Sensing · DOI: 10.1080/01431161.2020.1846222 · Citations: 129
Matched topics: water management, surface water
Water-quality monitoring for small urban waterbodies by remote sensing gets to be difficult due to the coarse spatial resolution of remote-sensing imagery. The recently launched Sentinel-2 produces imagery with a spatial resolution of 10 × 10 m and a temporal resolution of 5 days. It provides an opportunity to conduct high-frequency water-quality monitoring for small waterbodies. Since illegal discharges are an important issue for urban water management, total phosphorous (TP), total nitrogen…
Continuous Estimates of Glacier Mass Balance in High Mountain Asia Based on ICESat‐1,2 and GRACE/GRACE Follow‐On Data
Authors: Qiuyu Wang, Shuang Yi, Wenke Sun
Journal: Geophysical Research Letters · DOI: 10.1029/2020gl090954 · Citations: 117
Matched topics: hydrology
Abstract Glacier melt in High Mountain Asia (HMA) is an indicator of climate change and has a major impact on the regional hydrology and freshwater supply. We determined the recent status of HMA glaciers based on the first analysis of Ice, Cloud, and Land Elevation Satellite‐2 (ICESat‐2) data. We used the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow‐On (FO) data to complement ICESat‐1,2 data and validate them independently. We find a good agreement between ICESat‐1,2 and G…
Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
Authors: Alexander Y. Sun, Bridget R. Scanlon, Himanshu Save, Ashraf Rateb
Journal: Water Resources Research · DOI: 10.1029/2020wr028666 · Citations: 114
Matched topics: hydrology, hydrologic model, streamflow, land surface model, earth system model
Abstract The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the impact of climate extremes and human activities on total water storage at large scales. The ∼1‐year data gap between the two GRACE missions needs to be filled to maintain data continuity and maximize mission benefits. In this study, we applied an automated machine learning (AutoML) workflow to perform gridwise GRACE‐like data rec…
Site suitability analysis for potential agricultural land with spatial fuzzy multi-criteria decision analysis in regional scale under semi-arid terrestrial ecosystem
Authors: Barış Özkan, Orhan Dengız, İnci Demırağ Turan
Journal: Scientific Reports · DOI: 10.1038/s41598-020-79105-4 · Citations: 114
Matched topics: land surface model, earth system model
. In order to assign weighting value for each criterion, FAHP approach was used to make sufficiently sensitive levels of importance of the criteria. DEM with 10 m pixel resolution used to determine the height and slope characteristics, digital geology and soil maps, CORINE land use/land cover, long-term meteorological data, and 4517 soil samples taken from the study area were used. It was identified that approximately 30.7% of the total area (59,921.8 ha) is very suitable and suitable for pot…
Topsoil organic matter build‐up in glacier forelands around the world
Authors: Norine Khedim, Lauric Cécillon, Jérôme Poulenard, Pierre Barré, François Baudin, Silvio Marta et al.
Journal: Global Change Biology · DOI: 10.1111/gcb.15496 · Citations: 109
Matched topics: land surface model
N) and carbon functional groups (C-H, C=O, C=C) compositions, and its distribution in carbon pools of different thermal stability. We show that SOM content increases with time and is faster on forelands experiencing warmer climates. The build-up of SOM pools shows consistent trends across the studied soil chronosequences. During the first decades of soil development, the low amount of SOM is dominated by a thermally stable carbon pool with a small and highly thermolabile pool. The stability o…
Hydration and Dehydration in Earth’s Interior
Authors: Eiji Ohtani
Journal: Annual Review of Earth and Planetary Sciences · DOI: 10.1146/annurev-earth-080320-062509 · Citations: 106
Matched topics: reservoir, earth system model
Hydrogen and deuterium isotopic evidence indicates that the source of terrestrial water was mostly meteorites, with additional influx from nebula gas during accretion. There are two Earth models, with large (7–12 ocean masses) and small (1–4 ocean masses) water budgets that can explain the geochemical, cosmochemical, and geological observations. Geophysical and mineral physics data indicate that the upper and lower mantles are generally dry, whereas the mantle transition zone is wetter, with …
Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory
Authors: Andrew J. Lister, Hans Henrik Andersen, Tracey S. Frescino, Demetrios Gatziolis, Sean P. Healey, Linda S. Heath et al.
Journal: Forests · DOI: 10.3390/f11121364 · Citations: 106
Matched topics: land surface model, earth system model
Globally, forests are a crucial natural resource, and their sound management is critical for human and ecosystem health and well-being. Efforts to manage forests depend upon reliable data on the status of and trends in forest resources. When these data come from well-designed natural resource monitoring (NRM) systems, decision makers can make science-informed decisions. National forest inventories (NFIs) are a cornerstone of NRM systems, but require capacity and skills to implement. Efficienc…
Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands
Authors: Emmanuelle Vaudour, Cécile Gomez, Philippe Lagacherie, Thomas Loiseau, Nicolas Baghdadi, Diego Fernando Urbina Salazar et al.
Journal: International Journal of Applied Earth Observation and Geoinformation · DOI: 10.1016/j.jag.2020.102277 · Citations: 102
Matched topics: land surface model, earth system model
The spatial assessment of soil organic carbon (SOC) is a major environmental challenge, notably for evaluating soil carbon stocks. Recent works have shown the capability of Sentinel-2 to predict SOC content over temperate agroecosystems characterized with annual crops. However, because spectral models are only applicable on bare soils, the mapping of SOC is often obtained on limited areas. A possible improvement for increasing the number of pixels on which SOC can be retrieved by inverting ba…
Accessing Legacy Phosphorus in Soils
Authors: Sarah A. Doydora, Luciano Colpo Gatiboni, Khara Grieger, Dean Hesterberg, Jacob L. Jones, Eric S. McLamore et al.
Journal: Soil Systems · DOI: 10.3390/soilsystems4040074 · Citations: 102
Matched topics: runoff
Repeated applications of phosphorus (P) fertilizers result in the buildup of P in soil (commonly known as legacy P), a large fraction of which is not immediately available for plant use. Long-term applications and accumulations of soil P is an inefficient use of dwindling P supplies and can result in nutrient runoff, often leading to eutrophication of water bodies. Although soil legacy P is problematic in some regards, it conversely may serve as a source of P for crop use and could potentiall…
Monitoring time-varying terrestrial water storage changes using daily GNSS measurements in Yunnan, southwest China
Authors: Zhongshan Jiang, Ya‐Ju Hsu, Linguo Yuan, Dingfa Huang
Journal: Remote Sensing of Environment · DOI: 10.1016/j.rse.2020.112249 · Citations: 101
Matched topics: hydrologic model, drought
Abstract not available.
Spatiotemporal Analysis of Hydrological Variations and Their Impacts on Vegetation in Semiarid Areas from Multiple Satellite Data
Authors: Yonghua Zhu, Pingping Luo, Sheng Zhang, Biao Sun
Journal: Remote Sensing · DOI: 10.3390/rs12244177 · Citations: 100
Matched topics: water management
Understanding the spatiotemporal characteristics of hydrological components and their impacts on vegetation are critical for comprehending hydrological, climatological, and ecological processes under environmental change and solving future water management challenges. Innovative methods need to be developed in semiarid areas to analyze the special hydrological factors in the water resource systems of these areas. Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilatio…
Statistics
| Metric | Count |
|---|---|
| Databases searched | 2 |
| Topics searched | 16 |
| Total papers fetched | 1297 |
| After deduplication | 860 |
| After LLM relevance filtering | 50 |
| Rejected (not relevant) | 810 |
Papers by journal
| Journal | Papers |
|---|---|
| Remote Sensing of Environment | 4 |
| Earth system science data | 3 |
| Water Resources Research | 2 |
| Hydrology and Earth System Sciences | 2 |
| Journal of Geophysical Research Atmospheres | 2 |
| Geophysical Research Letters | 2 |
| Proceedings of the National Academy of Sciences | 2 |
| Global Change Biology | 2 |
| Frontiers in Sustainable Food Systems | 2 |
| Remote Sensing | 2 |
| Geoscience Frontiers | 1 |
| Journal of Flood Risk Management | 1 |
| Science China Earth Sciences | 1 |
| Rice Science | 1 |
| Environmental Research Letters | 1 |
| Energy | 1 |
| Nature Communications | 1 |
| Agricultural and Forest Meteorology | 1 |
| Environmental Modelling & Software | 1 |
| Journal of Hydrology | 1 |
| Journal of Computing in Civil Engineering | 1 |
| International Journal of Sediment Research | 1 |
| Nature | 1 |
| Energy & Environmental Science | 1 |
| Frontiers in Energy Research | 1 |
| Advanced Functional Materials | 1 |
| Frontiers in Marine Science | 1 |
| BioScience | 1 |
| Urban forestry & urban greening | 1 |
| Communications in Soil Science and Plant Analysis | 1 |
| Field Crops Research | 1 |
| International Journal of Remote Sensing | 1 |
| Scientific Reports | 1 |
| Annual Review of Earth and Planetary Sciences | 1 |
| Forests | 1 |
| International Journal of Applied Earth Observation and Geoinformation | 1 |
| Soil Systems | 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