Results 41 to 50 of about 313 (137)
Digital elevation models (DEMs) are foundational for critical tasks such as flood inundation simulation, disaster risk assessment, and ecosystem monitoring in coastal zones, yet their vertical accuracy is significantly compromised by complex terrain and ...
Junhui Chen +4 more
doaj +1 more source
Abstract Accurate spatiotemporal wind speed prediction is essential for improving wind energy utilization and ensuring power grid security. However, existing methods often rely on incorporating multiple meteorological variables, which increases model complexity and obscures the role of large‐scale circulation in guiding local wind evolution. This study
Tao Zhang +10 more
wiley +1 more source
The DEMIX Wine Contest: a summary
The DEMIX ‘wine contest’ is a novel framework for a practical approach to inter-compare a range of candidate digital elevation models (DEMs) based on pre-defined criteria and a statistically sound ranking approach, known as the randomized complete block ...
Conrad Bielski +3 more
core +1 more source
Within‐Night Variation in Predictor Importance Highlights Dynamic Nature of Bird Migration
Bar chart summarising median percent of gain contributed by each predictor type (atmospheric, sampling and terrestrial) for each timestep after sunset for spring (left) and fall (right) bird migration seasons. Predictor types are denoted by different colours.
Miguel F. Jimenez +2 more
wiley +1 more source
Abstract Quantifying decadal‐scale erosion rates in tectonically active regions is essential for assessing landscape hazards and constraining sediment budgets. A key question in Earth surface processes is how contemporary erosion measurements influenced by recent climatic extremes relate to long‐term geological rates.
Gopal Kumar +3 more
wiley +1 more source
Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu +5 more
wiley +1 more source
The first openly accessible 2 m‐resolution lidar‐based DTM and an extensive set of land‐surface parameters (LSPs) for the region of São Sebastião and Ilhabela, southeastern Brazil, reveal geomorphological features previously indiscernible, including past landslide deposits, drainage captures and structural lineaments.
Rebeca Durço Coelho +3 more
wiley +1 more source
Southern Andean glaciers contribute substantially to global sea-level rise. Unfortunately, mass balance estimates prior to 2000 are limited, hindering our understanding of the evolution of glacier mass changes over time.
Richard Forster (12340561) +2 more
core +1 more source
Mechanism and Refined Assessment of Valley Topography Effects on Solar Shortwave Radiation in the Grand Canyon: An XGBoost-SHAP-Based Analysis [PDF]
Accurate photovoltaic (PV) resource assessment relies on a clear understanding of how valley topography modulates incoming solar shortwave radiation, a process for which prior investigations have not fully established quantitative attribution of ...
Yuan Haofang
doaj +1 more source
Global Hydroclimatic Controls on Multithread River Dynamics
Abstract Most large rivers in densely populated areas split flow into multiple channels, forming interconnected pathways called threads. Multithread rivers are sensitive to hydroclimatic changes, yet understanding their dynamics is challenging due to the lack of robust metrics to characterize their evolution.
Feifei Zhao +7 more
wiley +1 more source

