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Showing 751 to 800 of 59105 works
Decoupling of N 2 O Production and Emissions in the Northern Indian Ocean
The northern Indian Ocean is a hotspot of nitrous oxide (N 2 O) emission to the atmosphere. Yet, the direct link between production and emission of N 2 O in this region is still p…
Climate state dependent response to high-latitude effusive volcanic eruptions
Effusive volcanic eruptions have been common in Iceland throughout the Holocene with the largest ones happening prior to the industrial revolution. Such eruptions can affect clima…
SYNOPTIC AIR MASS CONTROLS ON GLOBAL AND REGIONAL PRECIPITATION
Despite the complexity of the physical mechanisms behind precipitation, many studies linking precipitation to weather types or atmospheric circulation focus on a single variable, …
Enhancing Geospatial Label Accuracy with Prompt-Based Zero-Shot Segment Anything Model: A Retrogressive Thaw Slump Case…
Accurate and up-to-date mapping of rapidly evolving landscapes is crucial for environmental monitoring, climate modeling, and robust AI-driven Earth observation. Traditional digit…
A county-level machine learning model for bottled water consumption in the United States
Bottled water consumption in the United States has increased substantially in recent decades, prompting various research efforts to understand the factors driving the growth. Whil…
Convection-Permitting Kilometer-Scale Characterization of Winter Precipitation over the Hindu Kush Himalaya
Kilometer-scale (k-scale) simulations with explicit treatment of convection at sub-grid scales are useful for understanding precipitation characteristics. Such high-resolution sim…
Quantifying errors in ocean carbon reconstructions in the context of marine carbon dioxide removal (mCDR)
The Intergovernmental Panel on Climate suggests that carbon dioxide removal (CDR) will be needed to stabilize global temperatures at <2 °C above the pre-industrial baseline. The o…
Hyperspectral Imaging for Geologic Hydrogen Exploration: A State-of-the-Art Review
The development of new green energy sources is crucial for powering the technologies and industries of the future, including next-generation transportation systems. Hydrogen is …
Revisiting abyssal upwelling recipes through the lens of isopycnal shifting
Recent field campaigns have consistently documented bottom-intensified mixing near the seafloor, indicative of diabatic downwelling in the abyssal ocean. This phenomenon appears p…
Seismo- and tsunami-traveling ionospheric disturbances of the 29 July 2025 M8.8 Kamchatka Earthquake observed by CW-HF …
Doppler frequency shifts (DFSs) recorded by continuous wave-high frequency Doppler sounding systems and ionograms observed by five ionosondes are used to three-dimensionally study…
Mercury Exposure in Two Indigenous Amazonian Communities of Ecuador
Mercury (Hg) is a persistent global contaminant of high concern due to its neurotoxicity, particularly in vulnerable populations such as children. In tropical ecosystems, mercury …
The Spatiotemporal Distribution of Dissolved Inorganic Carbon in the Global Ocean Interior: Reconstructed through Machi…
The oceans mitigate climate change by absorbing approximately 25% of anthropogenic carbon emissions. Decadal variability in the ocean carbon sink, such as a weakening in the 1990s…
Modelling Climate Variables at High Temporal Resolution
Large ensembles of climate models are indispensable for analyzing natural climate variability and estimating the occurrence of rare extreme events. Many hydrometeorological applic…
Surface Soil Moisture Has No Relationship with Latent Heat Flux in Shallow Water Table Regions with Tile Drainage Like …
Recent work concluded that during water limited periods the evaporative fraction (EF), a measure of plant transpiration and consequently latent heat flux as well as photosynthesis…
Earth-Based Monitoring of the Io Plasma Torus to complement Juno mission findings: a proposition for a community project
The moon Io, the most volcanically active body in the Solar System, functions as the “energy converter” of the Jovian environment: tidal heating by Jupiter and its Galilean satell…
The reversibility of local and regional temperature extremes in CDRMIP
Currently implemented greenhouse gas emission reduction policies are projected to result in warming of the climate system beyond the 1.5°C Paris Agreement limit. Consequently, ach…
Investigating and Attributing Nonlinear Drivers of Extreme Precipitation Events through Deep-Learning Approaches
Capturing extreme precipitation events is critical for climate adaptation and risk assessment. However, traditional statistical approaches often struggle to capture the nonlinear …
The Diffusion Interaction Region of Dayside Magnetic Reconnection
Magnetic reconnection is a universal process that allows for the transfer and release of energy previously stored in a magnetic field configuration. At Earth, this process can occ…
Statistical Study of Betatron and Fermi Electron Acceleration at Dipolarization Fronts
Magnetic reconnection jets in Earth’s magnetotail are regions of electron heating and acceleration. They are often associated with dipolarization fronts (DFs), which are character…
Global Evaluation of GRACE Mascon Products in Monitoring Glacier Mass Balance
Glaciers, primarily distributed in high mountainous and high-latitude regions globally, play a critical role in the global water cycle, serve as a significant part of the Earth’s …
Evaluating Multi-Agent and Wavelet-Transform Uncertainties in Lunar Seismic Ambient Noise Exploration
Passive seismic ambient noise interferometry (ANI) has shown potential for lunar seismic exploration, offering the capability to detect near-surface subsurface structures critical…
FAO crop coefficient and plant available water: do soil and plant hydraulic properties matter?
How to ensure that “the availability of soil water does not limit plant growth or transpiration?” Determining the so-called crop coefficient (Kc) relies on this assumption of opti…
Induced Earthquakes Inhibited by Shear Thickening Fluid
Induced seismicity is an inevitable consequence of subsurface resource development. Public concerns have been raised in cases where a surge in felt or damaging earthquakes has occ…
Optimization of a Hyporheic Zone Reactive Transport Model by a Genetic Algorithm
Abiotic and biotic processes within the hyporheic zone are modeled with a biogeochemical reaction network that encompasses aerobic respiration, iron reduction, iron oxidation, sul…
Sampling bias in the perceived difference between Central and Eastern Pacific El Niño teleconnections
The El Niño-Southern Oscillation has two warm phase flavors of Eastern Pacific (EP) and Central Pacific (CP) El Niños that exhibit seemingly distinct global teleconnections, but t…
Tracing diurnal variations of atmospheric CO 2 , O 2 and δ 13 CO 2 over a tropical and a temperate forest.
We analyze the diurnal variability of atmospheric CO 2 , O 2 and 13 CO 2 above the canopies of two contrasting ecosystems: the Amazon tropical forest and the Loobos temperate fore…
Deep Learning Reveals Precursory Patterns in Rockslide Microseismicity
Identifying faint precursory rockfall signals from complex microseismic noise is a critical challenge in rockslide risk assessment. We introduce a neural network approach that uti…
Extreme Precipitation Intensity-Duration-Frequency Estimates for the State of Minnesota Built from Dynamically Downscal…
Flooding risk is projected to increase throughout the 21st Century in the Upper Midwest of the United States due to the increasing frequency and intensity of extreme rainfall even…
Disentangling partial melting and crustal recycling signatures in ocean island basalts with multivariate statistics
Ocean island basalts (OIB) provide valuable constraints on mass exchange between the mantle and crust. Multivariate statistical methods provide a comprehensive framework for in…
Artificial Intelligence Weather Radar
• AI radar utilizes LSTM neural networks to predict radar I/Q signals, thereby enhancing the speed and accuracy of radar observations. • Existing radar with an LSTM network boosts…
Global analysis of the interactions between small-scale ocean turbulence and carbonate chemistry
The flux of carbon dioxide (\ce{CO2}) at the air-sea interface is affected by many factors, including the transport of dissolved \ce{CO2} away from the surface by turbulent advect…
Stratification and Wind Changes Shape Future Indian Ocean Chlorophyll
Uncertainty in Earth System Model projections of Indian Ocean is often attributed to differences in biogeochemical processes representation. Here, we show that large physical pres…
Balancing ecological conservation and renewable energy development through multi-objective land-use planning in China
jabbrv-ltwa-all.ldf jabbrv-ltwa-en.ldf Anthropogenic activities are accelerating biodiversity loss and ecosystem degradation worldwide. Expanding conservation has become…
Space-time Variability of Particulate Carbon and Nitrogen Fractions in the Pará River Estuary
The biogeochemistry of the Pará River estuary is still unknown. Therefore, this study aims to understand the composition, dynamics, origin, and processing of the carbon and nitrog…
Aqueous-phase Direct Photolysis of Phenolic Compounds - the Formation of Dimers and Their Contributions to Atmospheric …
Brown carbon (BrC) aerosols, primarily emitted from biomass burning events such as wildfires, significantly impact the climate by absorbing sunlight and contributing to atmospheri…
Hybrid Statistical--Machine Learning Approach for Analyzing Legacy and New Phosphorus Losses from Subsurface Drainage S…
Phosphorus (P) is essential for crop growth but leaches through subsurface drainage discharge, impacting water quality. This study’s objectives are: (1) use machine learning to in…
OBSERVING THE SKY WITH A SINGLE LOFAR STATION: IMPACT OF THE IONOSPHERE ON A RADIO SOURCE POSITION MEASUREMENTS AND THE…
The presented research aims to investigate the impact of the ionosphere on the measured positions of natural radio sources (the A-Team sources-CasA) To carry out the study, the PL…
Hybrid Statistical--Machine Learning Approach for Analyzing Legacy and New Phosphorus Losses from Subsurface Drainage S…
Phosphorus (P) is essential for crop growth but leaches through subsurface drainage discharge, impacting water quality. This study’s objectives are: (1) use machine learning to in…
State-dependence of polar amplification in an idealized, ice-free GCM
Polar amplification (PA) is a robust feature of contemporary climate change, but its state-dependence across different climate conditions remains poorly understood despite potenti…
THEMIS-based model of the ion-to-electron temperature ratio in the near-Earth magnetotail: implications for magnetosphe…
One of the most advanced tools for investigating global magnetospheric dynamics is single-fluid magnetohydrodynamic (MHD) simulations. These simulations include magnetosphere-iono…
Detangling the Elevated Sea-surface pCO2 Trend in a River-Dominated Continental Shelf Using a High-Resolution Regional …
River-dominated continental shelves significantly influence coastal carbon cycling and ocean acidification due to substantial freshwater river discharge. Despite this importance, …
Using Tower-based Observational Networks to Assess the Impact of COVID-19 Lockdowns on Greenhouse Gas Emissions in Six …
The onset of the COVID-19 pandemic in North America and the lockdowns that followed in March 2020 brought forth a rapid change to societal functions disrupting many aspects of nor…
Driving dynamical inner-heliosphere models with in-situ solar-wind observations
Reconstruction of inner-heliosphere conditions is typically a three-step process. 1, the photospheric magnetic field is used to constrain a coronal model, which provides an estima…
Machine learning for predicting spatially variable lateral hydraulic conductivity: a step towards efficient hydrologica…
Recent advances in machine learning (ML) techniques show promise for estimating soil hydraulic properties from soil datasets. Pedo-transfer functions (PTFs) can facilitate the map…
3D Viscoelastic Implicit Finite-Difference Forward Modeling of Channel Waves
We develop a novel three-dimensional viscoelastic modeling method using an implicit finite difference scheme, while the properties of sparse and block matrices are utilized to mak…
APPLICATION OF GRACE INTERPOLATED DATA AND METEOROLOGICAL DATA TO MONITOR SPATIAL AND TEMPORAL CHANGES OF TERRESTRIAL W…
Providing a dynamic method to monitor water storage in the Yellow River Basin and obtaining spatial and temporal conclusions on real-time water storage changes is of great signi…
Reliable Fault Modeling of an Mw 7.1 Earthquake in Hyuganada Sea on 8 August 2024 by Offshore Tsunami Data from New Sea…
We investigated tsunamis of an Mw 7.1 earthquake in the Hyuganada Sea in 2024, observed by a new dense and wide seafloor observation network, N-net, installed in the western Nanka…
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