Results 81 to 90 of about 4,456 (198)
Observation‐Driven Correction of Numerical Weather Prediction for Marine Winds
Abstract Accurate marine wind forecasts are essential for safe navigation, ship routing, and energy operations, yet they remain challenging because observations over the ocean are sparse, heterogeneous, and temporally variable. We present an observation‐informed correction approach for global numerical weather prediction (NWP) of marine winds.
Matteo Peduto +4 more
wiley +1 more source
Real-Time Observations of Leaf Vitality Extinction by Dynamic Speckle Imaging
Sap flow within a leaf is a critical indicator of plant vitality and health. This paper introduces an easy-to-use, non-invasive and real-time imaging method for sap microcirculation imaging.
Elise Colin +4 more
doaj +1 more source
Interferometric Synthetic Aperture Radar (InSAR) capability to detect slow deformation over terrain areas is limited by temporal decorrelation, geometric decorrelation and atmospheric artefacts.
Sanaz Vajedian +2 more
doaj +1 more source
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
Abstract Despite significant advances in observational systems such as the global Argo array of autonomous profiling floats, the spatiotemporal coverage of subsurface ocean observations remains limited compared to the dense data provided by satellite platforms. This study develops a data‐driven framework to reconstruct synthetic profiles of upper ocean
Guangpeng Liu, Brian Powell
wiley +1 more source
A coherence time-series framework for earthquake-induced building damage detection using SAR
Earthquake-induced building damage detection using interferometric SAR coherence is complicated by multiple decorrelation mechanisms unrelated to structural damage.
Yeji Lee, Sang-Eun Park
doaj +1 more source
Abstract This study investigates numerical error growth mechanisms associated with lateral boundary conditions (LBCs) and their sensitivity to update frequency within a “Big‐Brother” framework. Using an idealized moist WRF baroclinic wave simulation, a high‐resolution reference is compared against three nested configurations: traditional one‐way 6‐hr ...
Min‐Jae Lee, Sang‐Hun Park
wiley +1 more source
Climatology of Storm Characteristics for Sub‐Daily Heavy Precipitation in the Greater Alpine Region
Abstract Characterizing storms that generate heavy precipitation across different timescales is essential for parameterizing and assessing stochastic weather generators, evaluating climate models, enhancing risk management, and understanding climate change impacts.
Eleonora Dallan +4 more
wiley +1 more source
Abstract Routine Synthetic Aperture Radar (SAR) acquisitions from the Sentinel‐1 constellation enable monitoring of slow surface deformation (millimeters to centimeters per year), yet consistent and accessible pathways for producing validated, user‐ready velocity products remain limited.
Simran S. Sangha +3 more
wiley +1 more source
Abstract Snow on Antarctic sea ice modulates albedo, thermodynamic growth, and snow–ice formation, yet remains a leading uncertainty in altimetry‐derived sea‐ice thickness. Here we use the post‐2022 CRYO2ICE configuration to derive along‐track winter snow thickness from ICESat‐2 laser and CryoSat‐2 Ku‐band radar freeboards over the Weddell and Ross ...
Xinlong Liu +4 more
wiley +1 more source

