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115 results for “fogging”
Fog Computing Bibliographic Results from Google Scholar
<p>This dataset contains all the results for the term "Fog Computing" on Google Scholar until June 2018. The data was acquired using Publish or Perish. The data has been cleaned such that the wrong and invalid results have been removed, duplicates have been removed. Titles are accurate and fine but authors and publishers info. etc. is still unclean. For textual analysis based on paper titles, this dataset is fine. For any other factor, such as institutional or journal or authorship analysis, this isn't a good choice. </p>
MIX 'N' MATCH Di egent ogganizations gecognize di egent numbegs of bigd species, mostcy because they use di egent de nitions fog what constitutes a species. in Taxonomy anarchy hampers conservation
MIX 'N' MATCH Di egent ogganizations gecognize di egent numbegs of bigd species, mostcy because they use di egent de nitions fog what constitutes a species.
Data for Coastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heat
<p>This repository contains data and code relevant to the paper<br>Coastal Fog and Low Clouds Provide Intertidal Organisms Refugia During Summer Heat<br>by Jessica Lundquist, Autumn Nguyen, Steven Pestana, and Eli Schwat<br>contact person: Jessica Lundquist, University of Washington, jdlund@uw.edu<br>submitted to <em>Geophysical Research Letters</em><br>July 29, 2024</p> <p>Files are as follows:</p> <p>Paper files (note, these are submitted files, and may be modified in the final published version):<br>Lundquist_GRL_Manuscript_July29.pdf Manuscript file, main text and figures, submitted July 29, 2024<br>Lundquist_GRL_SuppInfo_July_29.pdf Supplemental Information file, submitted July 29, 2024</p> <p>Movie files of timelapse photographs from each of the sites:<br>timeLapseCattlePoint_July_Oct_2022.mp4 Images from Cattle Point site, facing Lopez Island<br>timeLapseFHL_facingShaw_July_2022.mp4 Images from Friday Harbor Laboratory (FHL) site, facing Shaw Island<br>timeLapseFHL_facingShaw_July_Nov_2022.mp4 Images from Friday Harbor Laboratory (FHL) site, facing Shaw Island<br>timeLapseMtDallas_view_2022.mp4 Images from Mt. Dallas site, looking towards the coast, with FHL toward the left of the image, and Cattle Point towards the right of the image.</p> <p>Temperature data files:<br>SJI_Tdata_site1.nc Temperature and relative humidity data from Hobo datalogger at Friday Harbor Laboratories Weather station location<br>SJI_Tdata_site2.nc Temperature and relative humidity data from Hobo datalogger at Mt. Dallas location <br>SJI_Tdata_site3.nc Temperature and relative humidity data from Hobo datalogger at Cattle Point location<br>SJI_Tdata_site4.nc Temperature and relative humidity data from Friday Harbor Laboratories Weather Station <br>FHairportdata.txt Raw data from Friday Harbor airport weather station.</p> <p>Reanalysis data files:<br>SJI_strongInv2022.txt File of dates used to select days of strong inversion to assess anomalies<br>500mbHtanomalies.205.175.106.80.157.13.39.23.nc 500hPa height anomaly data for Fig 2e map<br>Tanomaly850mbyycompos.205.175.106.80.157.13.47.49.nc 850hPa temperature anomaly data for Fig 2f map</p> <p><br>Matlab files for plotting figures in paper<br>(note that Matlab software is not required to read these files)<br>TRH2.mat Temperature and relative humidity data from in situ locations for 2022<br>Tides2021_23.mat Friday Harbor tide hight data<br>GOESclouds.mat Cloud height data for the locations with surface observations<br>FHairportdata.mat Temperature data from the Friday Harbor airport<br>Lundquist_GRL_FLCC_figurecode.m Matlab code for using the datafiles above to make all of the figures in the paper</p>
The ratio between the sea fog period and the total summer period and ship-bsead observation data
<p>The ratio between the sea fog period and the total summer period (Rsf)</p> <p>We use two methods to judge the sea fog in every year, one is RH (of 1000hPa) > 95% and TD ranging within 0-2 K, the other is CBH and TP to be <100 m and <0.25 mm, respectively, the qualifying times divided by the total time, which is the Rsf-K1 and Rsf-K2 of this data set.</p> <p>The spatial range is 55°S~80°S,-180°~180°,See lat.txt and lon.txt for specific latitude and longitude.</p> <p>We calculated the average annual ratio of sea fog for a total of 41 years (1979~2019).</p> <p>_____</p> <p>We uploaded ten years of ship-based observations, from the 30th (2013) to the 39th (2023) China Antarctic Research Expedition (CHINARE), have been taken on an ice-breaker and scientific research vessel, “Snow Dragon.” </p>
A case study: evaluation of a single column model with advection to simulate fog/stratus during C-FOG experiment
<p>Those datasets are observed by C-FOG (<em>Toward Improving Coastal Fog Prediction</em>) campaign, which was organized as a field experiment combined with modelling and theoretical initiatives. The objective of C-FOG was to advance our understanding and ability to observe, simulate, and predict fog, with a particular focus on warm fog formation, development and dissipation over coastal environments.</p> <p>The uploaded observation data contains liquid water content, droplet number concentration, temperature, SST, wind, visibility, backscatter collected by ceilometer, and atmospheric profile. The details can be found in the dataset.</p> <p>Thanks for the intense observation by the C-FOG project, which collected valuable data for detailed fog research.</p>
Numerical study on advective fog formation and its characteristic associated with cold water upwelling
<p>Recent rapid industrial development in the Korean Peninsula has increased the impacts of meteorological disasters on marine and coastal environments. In particular, marine fog driven by summer cold water masses can inhibit transport and aviation; yet a lack of observational data hinders our understanding. The present study aimed to analyze the differences in cold water mass formation according to sea surface temperature (SST) resolution and its effects on the occurrence and distribution of sea fog over the Korean Peninsula from June 23–July 1, 2016, according to the Weather Research and Forecasting model. Data from the Final Operational Model Global Tropospheric Analyses were provided at 1° and 0.25° resolutions and NOAA real-time global SST (RTG-SST) data were provided at 0.083°. While conventional analyses have used initial SST distributions throughout the entire simulation period, small-scale, rapidly developing oceanic phenomena (e.g., cold water masses) lasting for several days act as an important mediating factor between the lower atmosphere and sea. RTG-SST was successful at identifying fog presence and maintained the most extensive horizontal distribution of cold water masses. In addition, it was confirmed that the difference in SST resolution led to varying sizes and strengths of the warm pools that provided water vapor from the open sea area to the atmosphere. On examining the horizontal water vapor transport and the vertical structure of the generated sea fog using the RTG-SST, water vapors were found to be continuously introduced by the southwesterly winds from June 29 to 30, creating a fog event throughout June 30. Accordingly, high-resolution SST data must be input into numerical models whenever possible. It is expected that the findings of this study can contribute to the reduction of ship accidents via the accurate simulation of sea fog.</p>
FIGURE 1. Collecting methods. A–D. Fogging. E. Beating vegetation. F. Berlese funnels. A in Taxonomic Revision Of The Jumping Goblin Spiders Of The Genus Orchestina Simon, 1882, In The Americas (Araneae: Oonopidae)
FIGURE 1. Collecting methods. A–D. Fogging. E. Beating vegetation. F. Berlese funnels. A. The sheets are disposed under the canopy approximately at 1 m above the ground. B. Each sheet was connected to each other with ropes and claspers. C. Setting the machine with a mixture of diesel and pyrethroids. D. The fog is finally directed to the canopy. E. Beating vegetation was the most frequent technique employed during this project. F. Occasionally, some specimens were captured in litter using Berlese funnels. A–D, F. Ecuador. E. Juan Fernández Islands, illustrative image, no specimens of Orchestina were collected there. Credits. C, D. Dimitri Forero. E. Jaime Pizarro.
Data for: Resolving marine–freshwater transitions by diatoms through a fog of gene tree discordance
<p>Despite the obstacles facing marine colonists, most lineages of aquatic organisms have colonized and diversified in freshwaters repeatedly. These transitions can trigger rapid morphological or physiological change and, on longer timescales, lead to increased rates of speciation and extinction. Diatoms are a lineage of ancestrally marine microalgae that have diversified throughout freshwater habitats worldwide. We generated a phylogenomic dataset of genomes and transcriptomes for 59 diatom taxa to resolve freshwater transitions in one lineage, the Thalassiosirales. Although most parts of the species tree were consistently resolved with strong support, we had difficulties resolving a Paleocene radiation, which affected the placement of one freshwater lineage. This and other parts of the tree were characterized by high levels of gene tree discordance caused by incomplete lineage sorting and low phylogenetic signal. Despite differences in species trees inferred from concatenation versus summary methods and codons versus amino acids, traditional methods of ancestral state reconstruction supported six transitions into freshwaters, two of which led to subsequent species diversification. Evidence from gene trees, protein alignments, and diatom life history together suggest that habitat transitions were largely the product of homoplasy rather than hemiplasy, a condition where transitions occur on branches in gene trees not shared with the species tree. Nevertheless, we identified a small set of putatively hemiplasious genes, many of which have been associated with shifts to low salinity, indicating that hemiplasy played a small but potentially important role in freshwater adaptation. Accounting for differences in evolutionary outcomes, in which some taxa became locked into freshwaters while others were able to return to the ocean or become salinity generalists, might help further distinguish different sources of adaptive mutation in freshwater diatoms.</p>
Data for: Resolving marine–freshwater transitions by diatoms through a fog of gene tree discordance
Open the record for dataset details and reuse information.
The asymmetric diurnal latent heat flux in Chi-Lan montane cloud-fog forest: CLM simulations and sap flow observations
<p>Chilan_30min_sap_flow_V_2020JJA.csv recorded the data of sap flow velocity during JJA 2020.</p> <p>CL_CTR.*.nc is the analyzed CTR simulations which consider fog interception as a source of canopy water.</p> <p>CL_EXP.*.nc is the analyzed EXP simulations that do not allow the canopy to hold the water.</p>
Data from: Ecophysiology and phylogeny of new terricolous and epiphytic chlorolichens in a fog oasis of the Atacama Desert
The Atacama Desert is one of the driest and probably oldest deserts on Earth where only a few extremophile organisms are able to survive. This study investigated two terricolous and two epiphytic lichens from the fog oasis "Las Lomitas" within the National Park Pan de Azúcar which represents a refugium for a few vascular desert plants and many lichens that can thrive on fog and dew alone. Ecophysiological measurements and climate records were combined with molecular data of the mycobiont, their green algal photobionts and lichenicolous fungi to gain information about the ecology of lichens within the fog oasis. Phylogenetic and morphological investigations led to the identification and description of the two new lichen species Ramalina reichenbergeri and Acarospora conafii as well as the lichenicolous fungi that accompanied them and revealed the trebouxioid character of all lichen photobionts. Their photosynthetic response during natural scenarios such as reactivation by high air humidity and in situ fog events were compared to elucidate the activation strategies of this lichen community. Epiphytic lichens showed photosynthetic activity that was rapidly induced by fog and additionally during high air humidity whereas terricolous lichens were only activated by fog.
Wanderer above the sea of fog
Wanderer above the sea of fog by Caspar David Friedrich, made with Tiltbrush Source: Objaverse 1.0 / Sketchfab
"Mystical Fog" Joanna Roszkowska Sculpture
"Mystical Fog" is part of a DUO created by Joanna Roszkowska. Completed by the Painting, this artwork transports the viewer into a floating realm with immersive colours and experiences. Source: Objaverse 1.0 / Sketchfab
Contrasting Activation Characteristics of Biomass Burning and Fossil Fuel Combustion Aerosols in Fogs and Clouds: Implications for Regional Air Quality and Climate
<p>The key 'jul' in data use 2021-01-01 as the referece day, for example, 2021-01-02 12:00:00 corresponding to jul of 2.5. </p>
Data from: Fog controls biological cycling of soil phosphorus in the Coastal Cordillera of the Atacama Desert
<p>In this study, we collected topsoil samples (0‒10 cm) from each of 54 subsites, including sites in direct adjacency (< 10 cm) and in 1 m distance to plants, along an aridity gradient across the Coastal Cordillera in the Atacama Desert. The soluble salts anions (NO<sup>3</sup><sup>‒</sup>, Cl<sup>‒</sup>, and SO<sub>4</sub><sup>2</sup><sup>‒</sup>) and cations (Ca<sup>2+</sup>, Na<sup>+</sup>, Mg<sup>2+</sup> and K<sup>+</sup>) were tested. And we performed soil sequential P fractionation and the oxygen isotope values of HCl-extractable P<sub>i</sub> (δ<sup>18</sup>O<sub>HCl</sub>-<sub>Pi</sub>). </p>
Supplement of "Algorithm for continual monitoring of fog life cycles based on geostationary satellite imagery as a basis for solar energy forecasting"
<p>The file uploaded here is an animation that visually illustrates the outputs of the a newly developed machine learning based FLS (<strong>F</strong>og and <strong>L</strong>ow <strong>S</strong>tratus) detection algorithm for the SEVIRI (<strong>S</strong>pinning <strong>E</strong>nhanced <strong>V</strong>isible and <strong>I</strong>nfra<strong>R</strong>ed <strong>I</strong>mager) instrument onboard the MSG (<strong>M</strong>eteosat <strong>S</strong>econd <strong>G</strong>eneration) geo-stationary satellites over the 24hr cycle of the day for the day of <strong>02/March/2021</strong> and compares them with the corresponding raw channel values observed by SEVIRI. The proposed algorithm classifies each SEVIRI pixel as "clear-sky", "FLS", or "non-FLS-cloud" (identified with Khaki, Red, and Blue in the animation) based on the SEVIRI pixel values of BT12.0, BT8.7 - BT12.0, BT10.8 - BT12.0, and BT12.0 - BT13.4 plus the standard deviation of each of these variables in a spatial window sized 3x3 pixels with the central pixel being the target pixel. </p><p><br>In this animation, the left-hand panel shows a false-color RGB image constructed based on the SEVIRI raw channel data with the red, green, and blue channels being BT12.0- BT13.4, BT8.7 - BT12.0, and BT10.8 - BT12.0, respectively. In this panel, the green color represents the high clouds, and the light and dark red colors represent the clear-sky and FLS, respectively. The right-hand panel of this animation also shows the outputs of the ML FLS detection algorithm developed in the present study.</p>
Data and scripts for the submission "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models"
<p>Dataset and scripts used to generate Figures for "A locally smoothed terrain-following vertical coordinate to improve the simulation of fog and low stratus in numerical weather prediction models", submitted to the <strong><em>Journal of Advances in Modeling Earth Systems</em></strong> (JAMES).</p> <p>Scripts: Python and NCL</p> <p>Data: Netcdf, PNG, Python pickled objects</p>
Clearing the Fog: Is Hydroxychloroquine Effective in Reducing COVID-19 Progression
ClinicalTrials.gov study NCT04491994. IPD Sharing: YES. Countries: 1. Publications: 8.
Data from: Navigating “tip fog”: Embracing uncertainty in tip measurements
Open the record for dataset details and reuse information.
Data from: Ecophysiology and phylogeny of new terricolous and epiphytic chlorolichens in a fog oasis of the Atacama Desert
Open the record for dataset details and reuse information.
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