Results 91 to 100 of about 6,631 (202)
Abstract Tidal influences are rarely considered in parameter estimation procedures for coastal groundwater flow models. Yet, considering tides adds to the already high computational burden associated with such models due to the presence of density‐dependent flow.
Patrick Haehnel +3 more
wiley +1 more source
Study region: Six rainfall regimes of Ethiopia covering an area of 1.13 million km2. Study focus: Hydrological studies in mountainous terrain require high-resolution spatiotemporal rainfall data. Individual linear interpolation based on elevation, aspect
Habtamu Tsegaye Workneh +4 more
doaj +1 more source
Abstract Airborne electromagnetic (AEM) surveys offer rapid, cost‐effective subsurface imaging, yet converting their electrical resistivity (ER) models into physically meaningful hydraulic property fields for groundwater models remains a challenge. We develop and demonstrate a data‐driven workflow for an unconsolidated sedimentary aquifer system in ...
Leland Scantlebury, Thomas Harter
wiley +1 more source
Atmospheric Constituent Data Assimilation in NASA's Goddard Earth Observing System
Abstract Many of today's most significant and urgent scientific questions, including those about the impact of human activity on air quality and radiative forcing, require the synthesis of observations of atmospheric constituents and scientific theory.
B. Weir +11 more
wiley +1 more source
Abstract The present study reports on the variability of the post‐midnight ionosphere over the low‐latitude sector during the recovery phases of the May and October 2024 storms. Multi‐instrument observations, comprising global navigation satellite system total electron content (TEC), F‐layer peak height, electron density profiles, and column O/N2 ...
Rahul Rathi +5 more
wiley +1 more source
Spatiotemporal interpolation is a fundamental task in geographic information science and a key component of Earth observation data analysis, supporting applications such as meteorological monitoring, air quality assessment, hydrological analysis, and ...
Enbo Liu +3 more
doaj +1 more source
CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
The Run up Tsunami Modeling in Bengkulu using the Spatial Interpolation of Kriging Technique
This research aims to design a tsunami hazard zone with the scenario of tsunami run-up height variation based on land use, slope and distance from the shoreline.
Yulian Fauzi +2 more
doaj
Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity
Abstract Electrical resistivity tomography (ERT) is a subsurface imaging geophysical technique. Traditional ERT inversion methods, such as smoothness‐constrained least‐squares approaches, often suffer from discretization artifacts when reconstructing electrical resistivity from resistance measurements.
Yusen Yuan +8 more
wiley +1 more source
Vertical Hydraulic Gradients as Key Calibration Constraints in Regional Groundwater Models
Abstract In typical clastic sedimentary aquifer systems, interbedded coarse‐ and fine‐grained deposits impede vertical flow and promote horizontal flow. This effect, known as vertical anisotropy, is often underestimated in regional groundwater models, leading to overestimated vertical aquifer communication.
Yara M. Pasner +3 more
wiley +1 more source

