Results 51 to 60 of about 12,074 (267)
Obtaining regional fine-scale daily Soil Moisture (SM) data is crucial for better understanding carbon and water cycles. Currently, downscaling from passive microwave SM products has become the most commonly utilized approach for generating regional high-
Yulin Shangguan +4 more
doaj +1 more source
Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods [PDF]
Climate change related modifications in the spatio-temporal distribution of precipitation and evapotranspiration will have an impact on groundwater resources.
S. Stoll +3 more
doaj +1 more source
This work examines how contact–semiconductor overlap influences volumetric capacitance extraction in organic electrochemical transistors as device dimensions shrink. It shows that neglecting overlap leads to systematic, geometry‐driven errors in capacitance values.
Renan Colucci +7 more
wiley +1 more source
Downscaling techniques are effective to bridge the scale gap between global circulation models and regional studies. Statistical downscaling methods are prevalent due to their advantages in high computational efficiency and accuracy. However, an implicit
Xintong Li +2 more
doaj +1 more source
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications
This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi +3 more
doaj +1 more source
A spectral method for spatial downscaling [PDF]
SummaryComplex computer models play a crucial role in air quality research. These models are used to evaluate potential regulatory impacts of emission control strategies and to estimate air quality in areas without monitoring data. For both of these purposes, it is important to calibrate model output with monitoring data to adjust for model biases and ...
Reich, Brian J. +2 more
openaire +2 more sources
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings +6 more
wiley +1 more source
Let's "Downscale" Linked Data [PDF]
Open data policies and linked data publication are powerful tools for increasing transparency, participatory governance, and accountability. The linked data community proudly emphasizes the economic and societal impact such technology shows. But a closer look proves that the design and deployment of these technologies leave out most of the world's ...
Christophe Guéret +2 more
openaire +2 more sources
Climate Change Threatens Micronutrient Density of European Winter Wheat
Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao +17 more
wiley +1 more source

