Results 101 to 110 of about 10,908 (283)

Spatial Downscaling of Sea Level Anomaly Using a Deep Separable Distillation Network

Remote Sensing
The use of high-resolution sea level anomaly (SLA) data in climate change research and ocean forecasting has become increasingly important. However, existing datasets often lack the fine spatial resolution required for capturing mesoscale ocean processes
Senmin Shi, Yineng Li, Yuhang Zhu, Tao Song, Shiqiu Peng   +4 more
doaj   +1 more source

Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study

Business Strategy and the Environment, EarlyView.
ABSTRACT The development of green hydrogen (GH2) value chains is crucial for decarbonizing sectors such as transport and industry. Their emergence, however, requires coordination among diverse actors, technologies, and regulations, which traditional analytical approaches struggle to capture.
Roberta De Cristofaro, Cristina Ponsiglione, Simonetta Primario   +2 more
wiley   +1 more source

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

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Topography constrains the climatic response of treeline migration in Taiwan's subalpine forests

Ecography, EarlyView.
Treelines are moving upslope, but the rates and drivers differ among different regions, globally. Many studies have examined the relationship between treeline movement and climate change, particularly rising temperature, while the role of topographical factors has received much less attention, despite the longstanding recognition of its importance.
Kuan‐Yu Chen, Jonathan Peereman, J. Aaron Hogan, Teng‐Chiu Lin   +3 more
wiley   +1 more source

Downscaling study based on the mechanism of spatial distribution of precipitation [PDF]

Gaoyuan qixiang
High-precision precipitation data are crucial for watershed water resource management， ecological conservation， and hydrological modeling.However， existing satellite remote sensing precipitation products have relatively low spatial resolution in complex ...
Dibo Wei, Xiaohua Dong, Yaoming Ma, Xue’Er Hu, Runhua Jiang, Chong Wei, Dan Yu
doaj   +1 more source

Global threats, local opportunities: ice‐related landforms provide refugia for high‐elevation plants and arthropods

Ecography, EarlyView.
Ice‐related landforms in mountain areas have been hypothesized to play a key role in the survival of cold‐adapted species threatened by climate change. However, our understanding of such landforms acting as refugia remains speculative. Here we analyse occurrence data, collected through a standardized sampling at 471 sampling points across the European ...
Mauro Gobbi, Barbara Valle, Mattia Brambilla, Duccio Tampucci, Marco Caccianiga   +4 more
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

A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling

CoRR
Peer ...
openaire   +3 more sources

A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment

Epilepsia, EarlyView.
Abstract Objective Epilepsy affects ~1% of the global population and often requires lifelong antiseizure medication (ASM) therapy. Valproic acid (VPA) is a commonly prescribed first‐line ASM, yet only approximately half of patients achieve sustained seizure freedom. Treatment selection remains largely empirical.
Simeon Platte, Afsheen Kumar, Giorgia Guerini, Massimo Pandolfo, Denise Haslinger, Colin B. Josephson, Guillermo Delgado‐García, Navprabhjot Kaur, Michaela‐Pauline Lux, Heiko Stempfle, Chantal Depondt, Reetta Kälviäinen, Felix Rosenow, Sophie von Brauchitsch, Karl Martin Klein, Andreas G. Chiocchetti   +15 more
wiley   +1 more source