Frequency-adaptive deep learning for multi-horizon weather forecasting in environmental monitoring applications. [PDF]
Tang J, Zhu Q, Yan X.
europepmc +1 more source
ABSTRACT Anthropogenic impacts on the thermal regime of rivers include climate change and deforestation. For the latter, developing modelling tools that can account for the impact of varying vegetation cover on river temperatures is essential. This study describes a new addition to the CEQUEAU hydrological and water temperature model: a shading ...
Zouhir Dichane +4 more
wiley +1 more source
Low determinism in community assembly of transient and resident pelagic fungi across climate zones in Scandinavian lakes. [PDF]
Martin-Sanchez PM +8 more
europepmc +1 more source
Abstract By using a solar photovoltaic (PV) performance model and applying it to global data from 2000 to 2022, we demonstrated that although the net impact of aerosols on power generation was negative, this loss was almost entirely driven by soiling of panel surfaces and could be mitigated by developing an appropriate cleaning regime.
Xuesong Wang +3 more
wiley +1 more source
In the Age of AI—Are National Models and Data Sets Still Important for Stream Flow Prediction?
Abstract Accurate streamflow prediction is critical for effective water resource management, and recent advances in deep learning and multi‐basin data sets have significantly improved model skill. Global deep‐learning models, trained on thousands of catchments have demonstrated strong generalization across diverse climates and continents.
Brett Snider, Ehsan Roshani
wiley +1 more source
Non-centering for discrete-valued state transition models: an application to ESBL-producing <i>E. coli</i> transmission in Malawi. [PDF]
Neill J +6 more
europepmc +1 more source
A Comparative Study of Multi-Scale Hybrid Deep Learning Frameworks for Estimation of Domestic Load Demand of Pakistan's Central Region. [PDF]
Bashir MY +4 more
europepmc +1 more source
Baffin Bay Freshwater Content Seasonal Variability and Budget: A Modeling Approach
Abstract Baffin Bay plays a significant role as an exporter of freshwater from the Arctic to the North Atlantic. However, we still do not completely understand how this freshwater is stored and transformed within the bay before it exits. Here, we use a six‐member ensemble built using the Nucleus for European Modelling of the Ocean (NEMO)—at 1/4 ...
L. H. Oliveira da Silva +2 more
wiley +1 more source
Cascade Dams and Seasonality Jointly Structure Gut Microbiome Biogeography in <i>Saurogobio punctatus</i>. [PDF]
He R +7 more
europepmc +1 more source
Rapid Joint Downscaling of Multiple Atmospheric Fields to Kilometer Scale With Deep Learning
Abstract Predicting weather and climate hazards typically relies on computationally expensive kilometer‐scale numerical models. This study introduces a U‐Net‐based deep learning framework, the Joint Atmospheric fields Downscaling Network (JADNet), for rapid, joint downscaling of multiple atmospheric variables to kilometer resolution.
Hongxing Cui +6 more
wiley +1 more source

