Daily Harvest - January 03, 2025
Paper Harvest Report
Date Range: 2025-01-03 to 2025-01-03
Summary
- Papers Published: 254 (research articles from tracked journals)
- Papers Selected: 14 (5.5%)
- Papers with Abstracts: 14/14 (100.0%)
- Semantic Scholar Coverage: 243/254 (95.7%)
- Not in S2: 9 papers (404 errors are normal for non-indexed content)
Papers by Journal
Scientific Reports (6/133)
Science (1/39)
Nature Communications (2/39)
Proceedings of the National Academy of Sciences (1/20)
Scientific Data (0/7)
Nature (0/3)
Journal of Geophysical Research: Machine Learni... (0/3)
Nature Climate Change (0/2)
Hydrology and Earth System Sciences (1/2)
Journal of Geophysical Research: Atmospheres (1/2)
Geophysical Research Letters (1/1)
Nature Geoscience (0/1)
Nature Water (0/1)
Reviews of Geophysics (1/1)
Format: Journal Name (selected/published)
Selection Breakdown
- Part 1 (Top-tier + topics): 4
- Part 2 (High-impact + topics): 8
- Part 3 (Top-tier + fields): 2
Filtering Criteria
Relevant Fields: engineering, environmental science, computer science, geology, geography
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
Part 1: Top-Tier Journals + Topic Match (4 papers)
Peer-reviewed research articles from top-tier journals that match your research topics.
Canadian forests are more conducive to high-severity fires in recent decades
Authors: Weiwei Wang, Xianli Wang, Mike D. Flannigan, Luc Guindon, Tom Swystun et al. (8 authors) Journal: Science ⭐ (2025-01-03) DOI: 10.1126/science.ado1006
Matched Topics: river
Abstract:
Canada has experienced more-intense and longer fire seasons with more-frequent uncontrollable wildfires over the past decades. However, the effect of these changes remains unknown. This study identifies driving forces of burn severity and estimates its spatiotemporal variations in Canadian forests. Our results show that fuel aridity was the most influential driver of burn severity, summer months were more prone to severe burning, and the northern areas were most influenced by the changing climate. About 6% (0.54 to 14.64%) of the modeled areas show significant increases in the number of days conducive to high-severity burning during 1981 to 2020, most of which were found during 2001 to 2020 and in the spring and autumn. The extraordinary 2023 fire season demonstrated similar spatial patter…
Human‐Induced Climate Change Intensifies Extreme Precipitation Events in Central China’s Urban Areas
Authors: Yufan Chen, Shuyu Zhang, Hong Wang, Deliang Chen, Junguo Liu Journal: Geophysical Research Letters ⭐ (2025-01-03) DOI: 10.1029/2024gl111818
Matched Topics: river, flood, climate change
Abstract:
Understanding the drivers behind extreme precipitation is crucial for predicting and mitigating the impacts of climate change globally, yet it remains little known how anthropogenic factors contribute to these phenomena. This study investigates the impact of human‐induced climate change on circulation patterns conducive to extreme precipitation over the Central Plains Urban Agglomeration in China, a region frequently experiencing severe flooding and home to a dense population with significant economic and agricultural activities. Using advanced techniques such as deep learning and optimal fingerprinting, this study identifies and analyzes the physical mechanisms behind the extreme precipitation. The findings reveal that greenhouse gas emissions play a pivotal role in altering atmospheric c…
The Influence of Topography on the Global Terrestrial Water Cycle
Authors: Sebastian Gnann, Jane W. Baldwin, Mark O. Cuthbert, Tom Gleeson, Wolfgang Schwanghart et al. (6 authors) Journal: Reviews of Geophysics ⭐ (2025-01-03) DOI: 10.1029/2023rg000810
Matched Topics: climate change
Abstract:
Topography affects the distribution and movement of water on Earth, yet new insights about topographic controls continue to surprise us and exciting puzzles remain. Here we combine literature review and data synthesis to explore the influence of topography on the global terrestrial water cycle, from the atmosphere down to the groundwater. Above the land surface, topography induces gradients and contrasts in water and energy availability. Long‐term precipitation usually increases with elevation in the mid‐latitudes, while it peaks at low‐ to mid‐elevations in the tropics. Potential evaporation tends to decrease with elevation in all climate zones. At the land surface, topography is expressed in snow distribution, vegetation zonation, geomorphic landforms, the critical zone, and drainage net…
Skillful seasonal predictions of continental East-Asian summer rainfall by integrating its spatio-temporal evolution
Authors: Jieru Ma, Hong-Li Ren, Ming Cai, Yi Deng, Chenguang Zhou et al. (8 authors) Journal: Nature Communications ⭐ (2025-01-03) DOI: 10.1038/s41467-024-55271-1
Matched Topics: flood, drought, seasonal, climate change
Abstract:
Skillful seasonal climate prediction is critical for food and water security over the world’s heavily populated regions, such as in continental East Asia. Current models, however, face significant difficulties in predicting the summer mean rainfall anomaly over continental East Asia, and forecasting rainfall spatiotemporal evolution presents an even greater challenge. Here, we benefit from integrating the spatiotemporal evolution of rainfall to identify the most crucial patterns intrinsic to continental East-Asian rainfall anomalies. A physical-statistical prediction model is developed to capture the predictability offered by these patterns through a detection of precursor signals that describe slowly varying lower boundary conditions. The presented model demonstrates a prediction skill of…
Part 2: High-Impact Journals + Topic Match (8 papers)
Peer-reviewed research articles from high-impact journals that match your topics.
Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments
Authors: Haley A. Canham, Belize Lane, Colin B. Phillips, Brendan P. Murphy Journal: Hydrology and Earth System Sciences (2025-01-03) DOI: 10.5194/hess-29-27-2025
Matched Topics: runoff, streamflow, seasonal
Abstract:
Increasing watershed disturbance regimes, such as from wildfire, are a growing concern for natural resource managers. However, the influence of watershed disturbances on event-scale rainfall–runoff patterns has proved challenging to disentangle from other hydrologic controls. To better isolate watershed disturbance effects, this study evaluates the influence of several time-varying hydrologic controls on event-scale rainfall–runoff patterns, including water year type, seasonality, and antecedent precipitation. To accomplish this, we developed the Rainfall–Runoff Event Detection and Identification (RREDI) toolkit, an automated time-series event separation and attribution algorithm that overcomes several limitations of existing techniques. The RREDI toolkit was used to generate a d…
The Interpretation of Karakoram Anomaly by High Karakoram Ice Core Record
Authors: Jiajia Wang, Baiqing Xu, Zhen Li, Jawad Nasir, Suhaib Bin Farhan et al. (10 authors) Journal: Journal of Geophysical Research: Atmospheres (2025-01-03) DOI: 10.1029/2023jd040235
Matched Topics: climate change
Abstract:
Glacier mass in the Karakoram region has increased since the mid‐1990s in contrast to Himalayan glaciers. The scarcity and brevity of observations, including in situ observations and weather station data, limit our understanding of the Karakoram anomaly. Here, we present the stable water isotopes and snow accumulation records of Karakoram’s first shallow ice core, covering 1998 to 2018. The decreased δ18O suggests an overall cooling trend in the Karakoram region for the early 21st century. In contrast, snow accumulation shows a significant increasing trend, which reveals that the Karakoram glacier has been getting more and more precipitation supplies recently. Using correlation field analysis and a backward trajectory model, we find that the decreased temperature and increased precipitatio…
Risk-based bridge life cycle cost and environmental impact assessment considering climate change effects
Authors: Sang Hyeon Lee, Lee-Sak An, Ho-Kyung Kim Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-82568-4
Matched Topics: climate change
Abstract:
To enhance sustainability and resilience against climate change in infrastructure, a quantitative evaluation of both environmental impact and cost is important within a life cycle framework. Climate change effects can lead performance deterioration in bridge components during their operational phase, highlighting the necessity for a risk-based evaluation process aligned with maintenance strategies. This study employs a two-phase life cycle assessments (LCA) framework. First, risk assessments are conducted to evaluate the impact of climate change on steel plate girder bridges and prestressed concrete (PSC) girder bridges under identical structural conditions. The reduction in flexural strength of steel plate girders and PSC girders due to changes in environmental variables such as temperatu…
Evaluating multiannual sedimentary nutrient retention in agricultural two-stage channels
Authors: Kaisa Västilä, Tom Jilbert Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-84956-2
Matched Topics: flood
Abstract:
The two-stage channel (TSC) design with a vegetated man-made floodplain has been recommended as an alternative to conventional re-dredging for managing suspended sediment (SS) and nutrient loads in agricultural streams. However, there are currently uncertainties surrounding the efficiency of TSCs, since mass balances covering the whole annual hydrograph and including different periods of the channel life cycle are lacking. This paper aims to improve understanding of the medium-term morphological development and sedimentary nutrient retention when a dredged, trapezoidal-shaped channel is converted into a TSC, using a mass balance estimate of nutrient and carbon retention from immediately after excavation until the establishment of approximate biogeochemical equilibrium retention. We develop…
Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine
Authors: Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-83944-w
Matched Topics: climate change
Abstract:
Land Surface Temperature (LST) is widely recognized as a sensitive indicator of climate change, and it plays a significant role in ecological research. The ERA5-Land LST dataset, developed and managed by the European Centre for Medium-Range Weather Forecasts (ECMWF), is extensively used for global or regional LST studies. However, its fine-scale application is limited by its low spatial resolution. Therefore, to improve the spatial resolution of ERA5-Land LST data, this study proposes an Attention Mechanism U-Net (AMUN) method, which combines data acquisition and preprocessing on the Google Earth Engine (GEE) cloud computing platform, to downscale the hourly monthly mean reanalysis LST data of ERA5-Land across China’s territory from 0.1° to 0.01°. This method comprehensively considers the …
Topographic location and connectivity to channel of earthquake- and rainfall-induced landslides in Loess Plateau area
Authors: Siyuan Ma, Xiaoyi Shao, Chong Xu, Xiaoli Chen, Renmao Yuan Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-84885-0
Matched Topics: river
Abstract:
The position of landslides on a slope plays a crucial role in determining landslide susceptibility and the likelihood of landslide debris interacting with the fluvial system. Most studies primarily focus on shallow landslides in the bedrock weathering zone or large-scale bedrock landslides, but the relevant work about the location and connectivity to channels of loess landslides is limited despite their potential to provide insights into slope stability and material transport in loess regions. In this study, we explored differences in landslide location and connectivity to channels between 2013 Mw5.9 Minxian earthquake-induced (EQ) landslides and 2013 Tianshui rainfall-induced (RF) landslides in the Loess Plateau area, China. The result shows that more than 37% of EQ landslides occur in th…
Perennial disaster patterns in Central Europe since 2000 and implications for hospital preparedness planning – a cross-sectional analysis
Authors: Maik von der Forst, Maximilian Dietrich, Felix C. F. Schmitt, Erik Popp, Markus Ries Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-84223-4
Matched Topics: flood, seasonal, climate change
Abstract:
The goal of this analysis is to describe seasonal disaster patterns in Central Europe in order to raise awareness and improve hospital disaster planning and resilience, particularly during peak events. Hospitals are essential pillars of a country’s critical infrastructure, vital for sustaining healthcare services and supporting public well-being—a key issue of national security. Disaster planning for hospitals is crucial to ensure their functionality under special circumstances. But the impact of climate change and seasonal variations in the utilization of hospital services are raising challenges. Therefore, the knowledge of perennial disaster patterns could help strengthen the resilience of hospitals. We conducted a cross-sectional analysis of the Emergency Events Database EM-DAT for disa…
Exploring the spatiotemporal effects of urban scale and urban vitality on S&D balance in the Yangtze River Delta, China from 2015 to 2025
Authors: Ke Wang, Qiuxiao Chen Journal: Scientific Reports (2025-01-03) DOI: 10.1038/s41598-024-84546-2
Matched Topics: river
Abstract:
Analysis of the spatiotemporal trends of urban scale and urban vitality on ecosystem services balance provides an essential basis for regional sustainable development. This study employs the Spatial Durbin Model (SDM), Spatial Autoregressive Model (SAR), and Geographically and Temporally Weighted Regression (GTWR) to effectively capture spatiotemporal associations between urban scale, urban vitality, and ecosystem services supply-demand balance, providing a detailed view of regional variations. The integrated framework combines spatiotemporal analysis, predictive scenario simulation, and importance-performance analysis to quantify and strategize urban impacts on ESs. Results show that urban scale negatively impacts the S&D ratio, while certain urban vitality factors support ecological supp…
Part 3: Top-Tier Journals + Field Match Only (2 papers)
Top-tier content in relevant fields (may include news, editorials, and research articles).
Image segmentation with traveling waves in an exactly solvable recurrent neural network
Authors: Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch, Sindy Löwe, Thomas A. Keller et al. (7 authors) Journal: Proceedings of the National Academy of Sciences ⭐ (2025-01-03) DOI: 10.1073/pnas.2321319121
Matched Fields: computer science
Abstract:
Significance Neural networks are powerful tools for processing visual inputs, but precisely how this processing is performed remains unclear. We introduce a recurrent neural network that can perform simple image segmentation while also being exactly mathematically solvable. This allows us to “open the box” to understand precisely how the internal connections within the network create visual computations in terms of a mathematical equation. This framework surpasses the standard level of understanding of how neural networks process visual input, creating an advance in “explainable AI”. These results may open a different path in machine learning powered by recurrent neural networks that allow precise mathematical insight, in addition to shedding light on the potential function of recurrent co…
Quantum-limited stochastic optical neural networks operating at a few quanta per activation
Authors: Shi-Yuan Ma, Tianyu Wang, Jérémie Laydevant, Logan G. Wright, Peter L. McMahon Journal: Nature Communications ⭐ (2025-01-03) DOI: 10.1038/s41467-024-55220-y
Matched Fields: computer science
Abstract:
Energy efficiency in computation is ultimately limited by noise, with quantum limits setting the fundamental noise floor. Analog physical neural networks hold promise for improved energy efficiency compared to digital electronic neural networks. However, they are typically operated in a relatively high-power regime so that the signal-to-noise ratio (SNR) is large (>10), and the noise can be treated as a perturbation. We study optical neural networks where all layers except the last are operated in the limit that each neuron can be activated by just a single photon, and as a result the noise on neuron activations is no longer merely perturbative. We show that by using a physics-based probabilistic model of the neuron activations in training, it is possible to perform accurate machine-learni…