Results 111 to 120 of about 42,095 (293)

Optimized Soil Moisture Mapping Strategies on the Tibetan Plateau Using Downscaled and Interpolated Maps as Mutual Covariates

Remote Sensing
Accurate high-resolution soil moisture maps are crucial for a better understanding of hydrological processes and energy cycles. Mapping strategies such as downscaling and interpolation have been developed to obtain high-resolution soil moisture maps from
Mo Zhang, Yong Ge, Jianghao Wang
doaj   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

Experimental and Theoretical Investigation on the Progressive Breaking Law of Thick and Hard Rock Strata in Deep Mining

Energy Science &Engineering, EarlyView.
This work reveals the “C‐Y,” double “Y,” “π,” and “Y” fracture modes of thick, hard strata and their progressive breaking process (O‐F‐R/S mode), providing a theoretical basis for controlling strong ground pressure in deep mining. ABSTRACT In response to the dynamic hazards caused by the fracture of thick‐hard strata in deep mining, this study ...
Meilu Yu, Jianping Zuo
wiley   +1 more source

The effects of climate change and variation in New Zealand: An assessment using the CLIMPACTS system [PDF]

, 2001
Along with a need to better understand the climate and biophysical systems of New Zealand, the need to develop an improved capacity for evaluating possible changes in climate and their effects on the New Zealand environment has been recognised. Since the
Harman, J.J., Kenny, Gavin J., Warrick, Richard A.   +2 more
core   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source

Spatial Downscaling of GRACE Groundwater Storage Based on DTW Distance Clustering and an Analysis of Its Driving Factors

Remote Sensing
High-resolution groundwater storage is essential for effective regional water resource management. While Gravity Recovery and Climate Experiment (GRACE) satellite data offer global coverage, the coarse spatial resolution (0.25–0.5°) limits the data’s ...
Huazhu Xue, Hao Wang, Guotao Dong, Zhi Li   +3 more
doaj   +1 more source

Overcoming contact issues in bottom‐contact, short‐channel organic transistors with van der Waals conformal contacts

FlexMat, EarlyView.
A new conformal contact transfer strategy is developed to enhance the contact interface quality between organic semiconductors and metal electrodes in bottom‐contact, short channel organic field‐effect transistors. By utilizing interfacial water permeation and surface functionalization, the method achieves a van der Waals conformal contact interface ...
Yuan Tan, Wei Deng, Yongji Wang, Haoyu Jiang, Xinghan Meng, Xiujuan Zhang, Xiaohong Zhang, Jiansheng Jie   +7 more
wiley   +1 more source

A Lightweight Terrain‐Constraint Model for Wind Spatial Downscaling

Journal of Geophysical Research: Machine Learning and Computation
AbstractHigh‐resolution wind fields has always been the goal of refined meteorological forecasting. Using advanced deep learning algorithms for wind downscaling is an effective approach to achieve this goal. However, the lack of physical process understanding in deep learning algorithms results in the inability to accurately reconstruct fine‐scale ...
Anboyu Guo, Qiyang Liu, Jiuke Wang, Yuanyong Gao, Lixin Wei, Xiaojiang Song, Chi Zhang, Kai Liu, Shuping Ma, Jiu Jiang   +9 more
openaire   +3 more sources

Potential of solid‐state microwaves in lab‐scale chemical‐process development

Journal of Chemical Technology &Biotechnology, EarlyView.
Abstract BACKGROUND The integration of a solid‐state microwave (MW) generator into a newly designed, versatile MW reactor ensures improved energy efficiency, precise process control and broader application potential. In its most particular feature, the device supports the modification of dielectric‐radiation orientation and can be operated under ...
Christian Cravotto, Clelia Aimone, Giorgio Capaldi, Giorgio Grillo, Giancarlo Cravotto   +4 more
wiley   +1 more source

Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia

International Journal of Climatology, EarlyView.
Estimating water resources is important for regional climate impact analysis and risk estimation. The Middle East and Central Asia have largely reached the limit of sustainably usable water across their river basins and ecosystems. Strategies designed to mitigate environmental risks require a reliable estimation of water availability trends.
Paolo Reggiani, Amal Talbi, Oleksiy Boyko, Poolad Karimi, Ezio Todini   +4 more
wiley   +1 more source