Results 81 to 90 of about 2,888 (290)
Applications of Self-Organizing Maps to Statistical Downscaling of Major Regional Climate Variables
This research developed a practical methodological framework, which integrated most of the important aspects related to statistical downscaling.
Yin, Chonghua
core
Climate change and perennial crop production: Evidence of yield impact and adaptation in California
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen +2 more
wiley +1 more source
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Green Hydrogen for Public Transportation: Insights From an ABM and From Palma de Mallorca Case Study
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 +2 more
wiley +1 more source
Meteorological uncertainty and rainfall downscaling [PDF]
We explore the sources of forecast uncertainty in a mixed dynamical-stochastic ensemble prediction chain for small-scale precipitation, suitable for hydrological applications.
J. von Hardenberg +3 more
doaj
Using Machine Learning to Cut the Cost of Dynamical Downscaling
Global climate models (GCMs) are commonly downscaled to understand future local climate change. The high computational cost of regional climate models (RCMs) limits how many GCMs can be dynamically downscaled, restricting uncertainty assessment.
Pitman, A ; https://orcid.org/ +7 more
core +1 more source
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 +5 more
wiley +1 more source
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He +7 more
wiley +1 more source
ABSTRACT This paper examines how the financial development of the target economy evolves under the long‐lasting economic sanctions, emphasizing the temporal patterns of the impact. Using panel data for 136 economies from 1980 to 2021 and an event‐study approach, we identified a temporal pattern that illustrates how economic sanctions exert a ...
Yu Jiang, Xue Meng
wiley +1 more source
CORDEX-CMIP5 Archiving Specifications for Dynamical Downscaling
This document specifies technical aspects of CORDEX archive file and data formats, as well as archive content. It includes a common naming system, the Data Reference Syntax (DRS), which allows the identification of data sets wherever they might be located in a distributed CORDEX archive.
Christensen, Ole B +3 more
openaire +2 more sources

