Results 81 to 90 of about 6,726 (146)
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
EnScale: Temporally‐Consistent Multivariate Generative Downscaling via Proper Scoring Rules
Abstract The practical use of future climate projections from global circulation models (GCMs) is often limited by their coarse spatial resolution, requiring downscaling to generate high‐resolution data. Regional climate models (RCMs) provide this refinement, but are computationally expensive.
Maybritt Schillinger +4 more
wiley +1 more source
Urticaria acuagénica: presentación de un caso
Fundamento: la urticaria acuagénica es una rara forma de presentación de las urticarias físicas. Objetivo: describir el cuadro clínico y conducta a seguir de la urticaria acuagénica en una lactante. Caso clínico: lactante blanca, femenina de siete meses.
Marely Hernández Veiga +1 more
doaj
Learning Vertical Coordinates via Automatic Differentiation of a Dynamical Core
Abstract Terrain‐following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted coordinate layers can generate spurious horizontal and vertical motion. Standard formulations, such as hybrid or SLEVE coordinates, mitigate these errors by using analytic decay functions
Tim Whittaker +4 more
wiley +1 more source
MORTEROS ALIGERADOS CON CASCARILLA DE ARROZ: DISEÑO DE MEZCLAS Y EVALUACIÓN DE PROPIEDADES
En el presente trabajo se analizó la posibilidad de utilizar la cascarilla de arroz con y sin pretratamientos, como una adición en la fabricación de morteros ligeros.
TOMAS SERRANO +3 more
doaj
Effectiveness of current and potential conservation actions for amphibians, birds and mammals
Our study demonstrates the power of combining differently‐sourced and compiled datasets to evaluate the likely effectiveness of ongoing conservation strategies and identify future needs. Our findings can inform species action plans and conservation spatial‐planning tools, helping to ensure that future conservation efforts are evidence‐based, have ...
Ashley T. Simkins +11 more
wiley +1 more source
En el año 2011, una erupción submarina comienza en el mar de Las Calmas, al suroeste de la isla del Hierro, emitiendo gran cantidad de sustancias al mar que podían afectar a la seguridad en la producción de aguas de consumo humano (ACH) y a la calidad ...
Juan José Delgado Perera +1 more
doaj
Optimal deep learning activity recognition pipeline using animal bio‐logging data
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley +1 more source
En el presente estudio se reporta la obtención de recubrimientos de Ni puro y compuestos de Ni con partículas nanométricas de SiC. Los recubrimientos fueron depositados sobre sustratos de acero al carbono AISI-SAE 1016 mediante polarización lineal sobre ...
Johny Edwar Henao Guzmán +2 more
doaj
ABSTRACT Wildlife trafficking poses a critical threat to global biodiversity, contributes to organized crime, and has disproportionate impacts on underserved and Indigenous communities. Although international legal instruments, such as the Convention on International Trade in Endangered Species of Wild Fauna and Flora, and institutional collaborations,
Chad Patrick Osorio
wiley +1 more source

