Results 141 to 150 of about 42,095 (293)
Spatial downscaling of survey data: a new approach
This article presents some innovative and useful extensions to the spatial downscaling method proposed by Izaguirre in ‘Geographic disaggregation of household surveys. Modified estimators for correcting misclassification bias’, in 2025, Spatial Economic Analysis, 107–127.
openaire +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
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
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
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
Peer ...
openaire +3 more sources
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
Spatially coherent probabilistic precipitation downscaling with meteorological analogues
Studying past and present day precipitation and its link to large scale circulation increases our understanding of precipitation characteristics and helps to anticipate their future behaviour. Downscaling techniques are being developed to bridge the gap between large-scale climate information from global reanalyses or GCM global projections and local ...
openaire +1 more source
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Conventional model output statistics and ensemble model output statistics methods for calibrating ensemble forecasts lead to severe underestimation of the probabilities of ensemble extremes (in blue). This is because they ignore statistical parameter uncertainty.
Stephen Jewson +4 more
wiley +1 more source
Quantifying driving ensemble influence on operational convection‐permitting ensemble spread
By comparing statistics of precipitation patterns between a convection‐permitting ensemble and the global ensemble used to drive it, we investigate the conditions under which the convection‐permitting ensemble diverges from the evolution of the driving ensemble.
Adam Gainford +4 more
wiley +1 more source
As part of the ongoing efforts to develop next‐generation forecasting systems at the Meteorological Service Singapore, this study presents the setup and evaluation of the SINGV_NG(MPAS) system. Overall, the SINGV_NG(MPAS) system outperforms European Centre for Medium‐Range Weather Forecasts (ECMWF) deterministic forecasts in capturing heavy rainfall ...
I‐Han Chen +7 more
wiley +1 more source

