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This study proposes a methodology for selecting global climate models (GCMs) from the Coupled Model Intercomparison Project phase 6 (CMIP6) on the basis of their ability to simula…

Extreme El Niño events (e.g. 1982-83, 1997-98) are characterized by strong, eastward-shifted warm Sea Surface Temperature anomalies, and a southward migration of the eastern Pac…

Highlights • We refined the seismic stratigraphic framework for the upper continental slope interfan region between the Kongsfjorden and Isfjorden Trough Mouth Fans.

Subduction termination remains poorly understood. Sabah, Malaysia (in northern Borneo) is a prime study location due to its subduction-rich history. We investigate the impact of s…

Drifting buoy observations in Hurricane Idalia (2023) are used to investigate the dependence of ocean surface wave mean square slope on wind, wave, and storm characteristics. Mean…

To date, eight meteoroid impacts have been identified in the seismic record of NASA's InSight mission on Mars, occurring either closer than 300~km or further than 3500~km. We repo…

The phase and amplitude relationships between dynamical quantities and ozone within the Quasi-biennial Oscillation (QBO) are explored. An initial assessment of this is done by app…

Convective dust events are common in the greater Phoenix area over the summer. These short-duration dust events degrade the air quality and pose a potential health threat to milli…

Interseismic deformation and strain rates derived from Global Navigation Satellite Systems (GNSS) or Interferometric Synthetic Aperture Radar (InSAR) data are often used to assess…

This study quantifies the air volume injected into the stratosphere by overshooting convection detected by GOES-16/17 geostationary infrared imagery and NOAA NEXRAD precipitation …

Clouds are crucial to Earth’s climate system, influencing radiation and contributing to climate projection uncertainties. Here, the simulated cloud fraction by the sixth version o…

Previous studies have highlighted the individual importance of diurnal warm layers (DWLs) and surface-layer fronts within the surface boundary layer (SBL) in regulating energy, mo…

We evaluate the effect of surface wind stress on drone-based thermal surface water velocity measurements of tidal flow in an estuary relative to in-channel flow velocity measureme…

The assessment of volcanic hazards is crucial to develop effective emergency plans, especially for volcanoes close to urban centers or under air traffic routes. Impact assessment …

https://github.com/carlynlee/credo-api-tools/tree/playground/ This project aims to design an architecture for applying Federated Learning (FL) to the analysis of cosmic ray event …

Flood Frequency Analysis (FFA) typically relies on fitting a probability distribution to Annual Maximum Peak flows (AMPs) to estimate the frequency of various flood magnitudes. It…

Sub-Antarctic Mode Waters (SAMWs) form to the north of the Antarctic Circumpolar Current (ACC) in the Indo-Pacific Ocean, whence they ventilate the ocean’s lower pycnocline and pl…

Atmospheric photochemistry is essential for simulating atmospheric composition, impacting air quality and climate change. However, conventional numerical schemes of photochemistry…

We estimated the mineralogy of the effusive and explosive units at the Gardner shield volcano using Chandrayaan-1 Moon Mineralogy Mapper (M3) data and Lunar Reconnaissance Orbiter…

The Southeast Pacific coast is renowned as the world’s most productive regions, primarily due to upwelling of nutrient-rich subsurface water. While numerous studies have emphasize…

Development of novel techniques in data-driven methods has motivated the application of these methods to space weather. For operational space weather in particular, it is vital to…

 Wide convective cell depth responds most to available instability, while narrow cell depth responds most to mid-level relative humidity.  Entrainment-driven reduction of buoyan…

Tropospheric O3 damage to plants significantly affects global vegetation productivity, yet accurately predicting this damage remains challenging. This study develops a parameteriz…

Developing AI models that match or exceed the forecast skill of numerical weather prediction (NWP) systems but run much more quickly is a burgeoning area of research. Most AI-NWP …

Magma emplacement in the top unconsolidated sediments of rift basins is poorly constrained in terms of mechanics and associated hydrothermal activity. Our study compares two shall…

We developed an eruption forecasting model using data from multiple sensors or data streams with the Bayesian Network method. The model generates probabilistic forecasts that are …

While the theory of random isotropic scalar fields on the sphere is well established, it has not been fully extended to the case of vector fields yet. In this contribution, severa…

Understanding the spatiotemporal characteristics of terrestrial water storage (TWS) variation is crucial for evaluating climate change and promoting sustainable water resource man…

The implementation of dual-polarization weather radars has improved the accuracy of precipitation estimates. However, identifying hydrometeor types and evaluating related algorith…

Magnetic field-line curvature scattering (FLCS) of energetic particles in the equatorial magnetotail results in isotropization of pitch-angle distributions, loss-cone filling, and…

The advent of under-ice profiling float and biologging techniques has enabled year-round observation of the Southern Ocean and its Antarctic margin. These under-ice data are often…

Precise knowledge of geocenter motion, i.e., the relative motion between the Earth's center of mass (CM) and the center of figure of the Earth's surface (CF), is crucial to high-s…

Methane is the second most important anthropogenic greenhouse gas causing warming after carbon dioxide, and the emission reductions potentials are known to be limited due to the d…

An advanced hodograph technique was applied to extract quasi-monochromatic, linear gravity wave (GW) packets from simultaneous wind and temperature measurements by a ground-based …

Seasonal hydrological dynamics have profound socio-economic implications for communities in the Ganges-Brahmaputra-Meghna (GBM) River basin. Climate change and El Niño-Southern Os…

Improving predictions of decadal climate variability is critical for reducing uncertainty in near-term climate change. Here we investigate the potential to improve prediction skil…

This study introduces a machine learning approach to address the critical challenge of limited real-time flow data in river basins, particularly for calibrating large-scale hydrol…

The accurate representation of cloud droplet number concentration (Nd) is crucial for predicting future climate. However, models often underestimate Nd over the Southern Ocean (SO…

We estimate the global impact of storms on the global structure and dynamics of the nightside plasma sheet (PS) from observations by the NASA mission THEMIS. We focus on an intens…

This study provides a first analysis of future changes in mean and extreme precipitation over Northeast Africa and the Arabian Peninsula. To this aim, we exploited projections fro…