Results 51 to 60 of about 41,613 (278)
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
The balance between exploration and exploitation is an important issue when attempting to find the global minimum of an objective function. This paper describes how this balance may be carefully controlled when using Kriging surrogate models to ...
Hawe, G.I., Sykulski, J.K.
core +1 more source
The optimization of hydro-pneumatic suspension parameters of a multi-axle heavy motorized wheel dump truck is carried out based on virtual and real prototype experiment integrated Kriging model in this article.
Bian Gong, Xuexun Guo, Sanbao Hu, Lin Xu
doaj +1 more source
ERA5 near‐surface temperature over South America exhibits systematic cold biases in daily maximum temperature and warm biases in daily minimum temperature. To address the continent's strong climatic and topographic heterogeneity, South America was partitioned into five topoclimatic clusters, and four bias‐correction approaches were evaluated. The Multi‐
José Roberto Rozante, Gabriela Rozante
wiley +1 more source
Climatic Drivers of the Area Burned by Winter Wildfires in Northern Italy
This study investigates winter wildfires occurring between November and April in northern Italy over the period 2008–2022. By integrating high‐resolution burned‐area data with gridded climatic indices derived from 150 weather stations, it identifies spatial and temporal wildfire patterns, highlights the most fire‐prone mountain areas through pixel ...
Alice Baronetti +2 more
wiley +1 more source
The high computational cost of evaluating objective functions in electromagnetic optimal design problems necessitates the use of cost-effective techniques.
Hawe, G., Sykulski, J.K.
core +1 more source
Indonesia is a tropical country with high rainfall influenced by its archipelagic geography and phenomena like El Niño and La Niña. According to the Meteorology, Climatology, and Geophysics Agency (BMKG), La Niña can increase Indonesia's monthly ...
Sandrina Najwa +6 more
doaj +1 more source
Physical attributes of a pasture soil in southeast Goiás determined by geostatistics [PDF]
This study aimed to evaluate the spatial dependence of physical attributes in a soil cultivated with Brachiaria grass. A 12-m regular sampling grid was established within an area of 3.500 m2.
Gabriel G. de G. Cardoso +2 more
doaj +1 more source
The study provides insights for post‐processing climate model output in complex terrain, useful for climate change impact models. We compared different bias adjustment and downscaling techniques from quantile delta mapping to simple lapse rates. We developed a new spatial downscaling method based on principal components analysis, which showed superior ...
Michael Matiu +4 more
wiley +1 more source
Evaluation of Groundwater Levels in the Arapahoe Aquifer Using Spatiotemporal Regression Kriging
Groundwater monitoring is fundamental to understanding system dynamics, trends in storage, and the long‐term sustainability of an aquifer. Water‐level data are the key source of information used to understand the response. However, groundwater‐level data
Christopher J. Ruybal +2 more
doaj +1 more source

