Results 131 to 140 of about 5,772,694 (279)

Downscaling of Temperatures Over the Eastern Mediterranean for the 21st Century

International Journal of Climatology, EarlyView.
We developed an analogue‐based statistical downscaling method, using a K‐nearest‐neighbour framework, to project daily maximum temperature (Tmax) and minimum temperature (Tmin) at 32 homogenized meteorological stations. Late twenty‐first‐century (2080–2100) temperature projections obtained using the method, show robust warming across all stations and ...
Anton Gelman, Lidiya Shendrik, Efrat Morin, Chaim I. Garfinkel, Dorita Rostkier‐Edelstein   +4 more
wiley   +1 more source

Satellite and Reanalysis Dataset Dependence of ETCCDI Extreme Precipitation Trends in Paraná, Southern Brazil

International Journal of Climatology, EarlyView.
Extreme precipitation trends detected in Paraná, Southern Brazil (1983–2024), are strongly conditioned by the dataset used, with reanalyses indicating coherent inland drying and longer dry spells, observations retaining stronger mesoscale heterogeneity, and satellite products often showing declines in short‐duration extremes. Monthly diagnostics reveal
Paulo Miguel de Bodas Terassi, Jakeline Baratto, Vitor Hugo Rosa Biffi   +2 more
wiley   +1 more source

Cloud-Native Realization of Network Configuration Protocol

, 2020
Many of the telecommunication companies aim to support Network Configuration Protocol (NETCONF) to manage their large network in cloud-native environment. The NETCONF protocol provides automation and security using permanent SSH and TLS connections as well as cloudnative brings scalability advantages.
openaire   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source

Intercomparison of a Regional Climate Model Ensemble for Selected European Catchments

International Journal of Climatology, EarlyView.
This study analyzes a regional climate model ensemble for water cycle and water resource research with two models. Results show that ICON generally outperforms TSMP1 simulations, mainly with 2‐m temperature and precipitation. These findings serve as a baseline evaluation that shows how key structural differences influence the model skill.
Jane Leonor Roque, Francis Da Silva Lopes, Julian Alberto Giles, Benjamin D. Gutknecht, Bernd Schalge, Yikui Zhang, Marco Ferro, Petra Friederichs, Klaus Goergen, Stefan Poll, Arianna Valmassoi   +10 more
wiley   +1 more source

A cloud-native framework for seismic waveform data quality assessment: Performance evaluation under equivalent resource constraints. [PDF]

PLoS One
Li Y, Wang D, Dong R, Cheng C, Zhang X, Wang W, Liu C.   +6 more
europepmc   +1 more source

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

St. Cloud State campus [1971]

, 1967
Black and white aerial view of the St.
St. Cloud State University
core  

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Cloud-native encryption as a service for IoT. [PDF]

Sci Rep
Javadpour A, Taleb T, Benzaid C, Zeraoulia K, Djebrani A, Belhadi MY, Cordeiro L, Rosa L.   +7 more
europepmc   +1 more source