Optimizing root yield of cassava under fertigation and the masked effect of atmospheric temperature.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.10519
Abstract: BACKGROUND Fertigation is a rare and an expensive method of fertilizer application to cassava, and hence there is need to optimize its efficiency for profitability. This study's objective was to optimize root yield of cassava… read more here.
Keywords: cassava; atmospheric temperature; root yield; fertigation ... See more keywords
Ambient atmospheric temperature processed lead halide perovskites
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Thermal Analysis and Calorimetry"
DOI: 10.1007/s10973-019-08676-w
Abstract: Perovskite, ABX 3 , materials are usually synthesized in inert atmosphere. Their properties are severely affected by the humidity and temperature of the surroundings which is very far from real-life applications. Hence, in the present… read more here.
Keywords: temperature; temperature processed; lead halide; atmospheric temperature ... See more keywords
On the relationship between the QBO/ENSO and atmospheric temperature using COSMIC radio occultation data
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Atmospheric and Solar-Terrestrial Physics"
DOI: 10.1016/j.jastp.2017.03.008
Abstract: Abstract In this paper, the spatial patterns and vertical structure of atmospheric temperature anomalies, in both the tropics and the extratropical latitudes, associated with the El Nino-Southern Oscillation (ENSO) and quasi-biennial oscillation (QBO) in the… read more here.
Keywords: enso; atmospheric temperature; radio occultation; temperature ... See more keywords
Arctic sea-ice variability is primarily driven by atmospheric temperature fluctuations
Sign Up to like & getrecommendations! Published in 2019 at "Nature Geoscience"
DOI: 10.1038/s41561-019-0363-1
Abstract: The anthropogenically forced decline of Arctic sea ice is superimposed on strong internal variability. Possible drivers for this variability include fluctuations in surface albedo, clouds and water vapour, surface winds and poleward atmospheric and oceanic… read more here.
Keywords: sea ice; temperature fluctuations; variability; atmospheric temperature ... See more keywords
A data-driven approach to constraining the atmospheric temperature structure of the ultra-hot Jupiter KELT-9b
Sign Up to like & getrecommendations! Published in 2020 at "Astronomy and Astrophysics"
DOI: 10.1051/0004-6361/202039061
Abstract: Context. Observationally constraining the atmospheric temperature-pressure (TP) profile of exoplanets is an important step forward for improving planetary atmosphere models, thus further enabling one to place the detection of spectral features and the measurement of… read more here.
Keywords: constraining atmospheric; temperature; jupiter kelt; ultra hot ... See more keywords
Improving the upper atmospheric temperature accuracy of the ground-based instrument by eliminating noise ways.
Sign Up to like & getrecommendations! Published in 2023 at "Applied optics"
DOI: 10.1364/ao.471204
Abstract: In view of the special properties of the upper atmosphere at the altitude of 80-120 km, a ground-based passive remote sensing instrument ground-based airglow volume emission rate and temperature imaging interferometer (GBAVTII) is built to detect… read more here.
Keywords: ground based; atmospheric temperature; instrument; temperature ... See more keywords
Coherent high-spectral-resolution lidar for the atmospheric temperature remote sensing with convolutional neural network
Sign Up to like & getrecommendations! Published in 2025 at "Optics Express"
DOI: 10.1364/oe.580620
Abstract: A 1550-nm coherent high-spectral-resolution lidar (CHSRL) for detecting the atmospheric Rayleigh-Brillouin scattering spectrum (RBS) is proposed, and atmospheric temperature is retrieved by employing a convolutional neural network (CNN). The homodyne detection scheme is adopted to… read more here.
Keywords: temperature; convolutional neural; coherent high; neural network ... See more keywords
Lateral scanning Raman scattering lidar for accurate measurement of atmospheric temperature and water vapor from ground to height of interest.
Sign Up to like & getrecommendations! Published in 2023 at "Optics letters"
DOI: 10.1364/ol.488924
Abstract: A novel lateral scanning Raman scattering lidar (LSRSL) system is proposed, aiming to realize the accurate measurement of atmospheric temperature and water vapor from the ground to a height of interest and to overcome the… read more here.
Keywords: system; atmospheric temperature; scattering lidar; raman scattering ... See more keywords
The Impact of Atmospheric Temperature Variations on Glycaemic Patterns in Children and Young Adults with Type 1 Diabetes
Sign Up to like & getrecommendations! Published in 2024 at "Climate"
DOI: 10.3390/cli12080121
Abstract: Seasonal variations in glycaemic patterns in children and young adults affected by type 1 diabetes are currently poorly studied. However, the spread of Flash Glucose Monitoring (FGM) and continuous glucose monitoring (CGM) systems and of… read more here.
Keywords: temperature; patterns children; glycaemic patterns; variations glycaemic ... See more keywords
Role of Atmospheric Temperature and Seismic Activity in Spring Water Hydrogeochemistry in Urumqi, China
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph191912004
Abstract: Springs offer insight into the sources and mechanisms of groundwater recharge and can be used to characterize fluid migration during earthquakes. However, few reports provide sufficient annual hydrochemical and isotopic data to compare the variation… read more here.
Keywords: atmospheric temperature; water; role atmospheric; seismic activity ... See more keywords
Atmospheric Temperature Prediction Based on a BiLSTM-Attention Model
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14112470
Abstract: To address the problem that traditional models are not effective in predicting atmospheric temperature, this paper proposes an atmospheric temperature prediction model based on symmetric BiLSTM (bidirectional long short-term memory)-Attention model. Firstly, the meteorological data… read more here.
Keywords: atmospheric temperature; temperature; temperature prediction; prediction ... See more keywords