Results 111 to 120 of about 5,336 (120)

Developing a Lagrangian Frame Transformation on Satellite Data to Study Cloud Microphysical Transitions in Arctic Marine Cold Air Outbreaks

open access: yesGeophysical Research Letters, Volume 52, Issue 9, 16 May 2025.
Abstract Arctic marine cold air outbreaks (CAOs) generate distinct and dynamic cloud regimes due to intense air‐sea interactions. To understand the temporal evolution of CAO cloud properties and compare different CAO events, a Lagrangian perspective is particularly useful.
Hannah Seppala, Zhibo Zhang, Xue Zheng
wiley   +1 more source

A new insight into linguistic pattern analysis based on multilayer hypergraphs for the automatic extraction of text summaries

open access: yesMathematical Methods in the Applied Sciences, Volume 48, Issue 7, Page 7550-7567, 15 May 2025.
Forensic linguistics and stylometry have in the exploration of linguistic patterns one of their fundamental tools. Mathematical structures such as complex multilayer networks and hypergraphs provide remarkable resources to represent and analyze texts.
Ángeles Criado‐Alonso   +3 more
wiley   +1 more source

NORSEWInD satellite wind climatology [PDF]

open access: yes, 2012
Astrup, Poul   +13 more
core  

The Intelligent Classroom : Beyond Four Walls [PDF]

open access: yes, 2011
Al-Ghazzawi, Daniyal   +5 more
core   +1 more source

Optimal Collision Avoidance Trajectories via Direct Orthogonal Collocation for Unmanned/Remotely Piloted Aircraft Sense and Avoid Operations [PDF]

open access: possibleAIAA Guidance, Navigation, and Control Conference, 2014
The airborne Sense and Avoid (SAA) problem is a challenging and complex optimal control problem to solve. This paper builds on the previous work by the authors, which focused on the methodology for formulating the airborne SAA problem as an optimal control problem.
Vincent Raska   +3 more
openaire   +1 more source
Some of the next articles are maybe not open access.

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Triple collocation-based estimation of spatially correlated observation error covariance in remote sensing soil moisture data assimilation

Journal of Applied Remote Sensing, 2018
Spatially correlated errors are typically ignored in data assimilation, thus degenerating the observation error covariance R to a diagonal matrix. We argue that a nondiagonal R carries more observation information making assimilation results more accurate.
Zhenhang Jiao, Kai Wu, Hong Shu, Lei Nie
openaire   +2 more sources

Retrieving riming in arctic mixed phase clouds from collocated remote sensing and in situ aircraft measurements during ACLOUD 

2022
<p>Ice crystal formation and growth processes in mixed-phase clouds (MPCs) are not sufficiently understood. This leads to uncertainties of atmospheric models in representing MPCs. This presentation is centered around riming, which occurs when liquid water droplets freeze onto ice crystals.
Nina Maherndl   +3 more
openaire   +1 more source

Dynamic collocation between satellite and in-situ measurements in wave remote sensing

The validation and error analysis of remote sensing data are important for their application. Currently, due to the relative scarcity of in-situ observations in the ocean, the accumulation of collocations between remote sensing and in-situ data is slow. This study proposes an engineering trick to address this issue: using the output of numerical models
openaire   +1 more source

Estimation of the Errors of Remote Sensing and Hydrological Model-Based Soil Moisture Values Using Triple Collocation

2017
Only limited studies in Turkey have focused their attention on soil moisture even though it has a key role in climate, flood, drought and agricultural yield related studies. Estimation of soil moisture product obtained via merging of hydrological model- and remote sensing-based soil moisture data sets is only possible if the errors of the merged ...
openaire   +1 more source

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