Results 91 to 100 of about 8,971 (314)
Spatial‐statistical downscaling with uncertainty quantification in biodiversity modelling
Accurate downscaling with uncertainty quantification and its inclusion in fitting biodiversity models to data are essential for accurate, valid inferences and predictions.
Xiaotian Zheng +4 more
doaj +1 more source
Statistical downscaling with spatial misalignment: Application to wildland fire PM<sub>2.5</sub> concentration forecasting. [PDF]
Majumder S +4 more
europepmc +1 more source
The graphical abstract presents observed (1963–2023) and projected changes in hydroclimatic extremes in Rio Grande do Norte, Brazil. It integrates dry‐spell duration (CDD) and extreme precipitation (R95pTOT) using CMIP6 multimodel ensembles under SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5.
Daris Correia dos Santos
wiley +1 more source
Reprogrammable All‐Photonic Molecular Logic With Ln3+ Luminescent Hybrids in Solid State
Mario P. de‐Saralegui et al. report an Eu3⁺/Tb3⁺‐doped organic–inorganic hybrid material that enables multiple reprogrammable logic operations using only physical stimuli. Additionally, this solid‐state, all‐photonic platform represents the first example in the literature performing reversible Feynman logic operations, marking a major step toward ...
Mario P. de‐Saralegui +4 more
wiley +1 more source
Spatial downscaling of IMERG precipitation estimates using statistical techniques
Stavros Stathopoulos, Alexandra Gemitzi
openalex +1 more source
Abstract Road traffic noise is a pervasive environmental pollutant that negatively affects wildlife globally. Despite growing research, quantifying the spatial extent of noise impacts remains underdeveloped. Soundscape mapping from social sciences and engineering literature offers a useful yet rarely implemented tool to depict noise impact distances ...
Yael Lehnardt +3 more
wiley +1 more source
Diffusion model-based probabilistic downscaling for 180-year East Asian climate reconstruction
As our planet is entering into the “global boiling” era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are crucial for this target.
Fenghua Ling +8 more
doaj +1 more source
Implementing potential climate‐smart practices through diverse partnerships
Climate change is one of the greatest threats to society, negatively impacting agriculture and crop yields. Globally, agriculture is also one of the largest greenhouse gas (GHG) emitting sectors. Climate‐smart practices that are developed through diverse partnerships with scientists and practitioners are needed to decrease GHG emissions. We implemented
Kristina J. Bartowitz +6 more
wiley +1 more source
Breeding for multi‐stress resilience in crops: Myth or possibility?
Climate change threatens millions of farmers worldwide by exposing crops to multiple concurrent or sequential environmental stresses such as drought, heat, waterlogging, and diseases. Although crops have long been selected under naturally occurring multi‐stress conditions, breeding pipelines largely focus on optimal or single‐stress environments ...
Hamid Khazaei +2 more
wiley +1 more source
Extreme precipitation events in the Mediterranean area have been defined by different percentile-based indices of extreme precipitation for autumn and winter: the number of events exceeding the 95th percentile of daily precipitation, percentage, total ...
Elke Hertig +5 more
doaj +1 more source

