Results 21 to 30 of about 29,916 (198)

Improving The Accuracy of the Empirical Clear Sky Solar Irradiance Models

open access: yesAnnals of West University of Timisoara: Physics, 2013
This paper is focused on improving the quality of nowcasting solar irradiance by enhancing the clear sky component of the model. A simple linear correction for the average atmospheric transmittance is proposed.
Mares Oana   +2 more
doaj   +1 more source

The impact of clear-sky biases of land surface temperature on monthly evapotranspiration estimation

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Remotely sensed land surface temperature (LST) is critical for retrieving evapotranspiration (ET). However, due to cloud contamination, LST is often limited to clear-sky conditions and the differences between clear-sky and all-sky LST will lead to clear ...
Xin Pan   +7 more
doaj   +1 more source

Long-term analysis of clear-sky new particle formation events and nonevents in Hyytiälä [PDF]

open access: yesAtmospheric Chemistry and Physics, 2017
New particle formation (NPF) events have been observed all around the world and are known to be a major source of atmospheric aerosol particles. Here we combine 20 years of observations in a boreal forest at the SMEAR II station (Station for Measuring ...
L. Dada   +11 more
doaj   +1 more source

How atmospheric humidity drives the outgoing longwave radiation–surface temperature relationship and inter-model spread

open access: yesEnvironmental Research Letters, 2023
The Earth’s global radiation budget depends critically on the relationship between outgoing longwave radiation (OLR) and surface temperature ( $T_\mathrm{s}$ ).
Jing Feng   +3 more
doaj   +1 more source

Irradiance Nowcasting by Means of Deep-Learning Analysis of Infrared Images

open access: yesForecasting, 2022
This work proposes and evaluates a method for the nowcasting of solar irradiance variability in multiple time horizons, namely 5, 10, and 15 min ahead.
Alessandro Niccolai   +4 more
doaj   +1 more source

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

open access: yesFEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard   +12 more
wiley   +1 more source

Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

open access: yesGeophysical Research Letters
Satellite‐based thermal infrared (TIR) land surface temperature (LST) is hindered by cloud cover and is applicable solely under clear‐sky conditions for estimating surface urban heat island intensity (SUHII).
Qiquan Yang   +9 more
doaj   +1 more source

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park   +5 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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