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9 results for “Cloud Organization”
Dataset for the "a parameterization for cloud organization and propagation by evaporation-driven cold pools edges"
<p>When the negatively buoyant air in the cloud downdrafts reaches the surface, it spreads out horizontally, producing cold pools. A cold pool can trigger new convective cells. However, when combined with the ambient vertical wind shear, it can also connect and upscale them into large mesoscale convective systems (MCS). Given the broad spectrum of scales of the atmospheric phenomenon involving the interaction between cold pools and the MCS, a parameterization was designed here. Then, it is coupled with a classical convection parameterization to be applied in an atmospheric model with an insufficient spatial resolution to explicitly resolve convection and the sub-cloud layer. A new scalar quantity related to the deficit of moist static energy detrained by the downdrafts mass flux is proposed. This quantity is subject to grid-scale advection, mixing, and a sink term representing dissipation processes. The model is then applied to simulate moist convection development over a large portion of tropical land in the Amazon Basin in a wet and dry-to-wet 10-days period. Our results show that the cold pool edge parameterization improves the organization, longevity, propagation, and severity of simulated MCS over the Amazon and other different continental areas.</p><p> </p>
Simulation dataset and plotting scripts used for journal article "Impact of acidity and surface modulated acid dissociation on cloud response to organic aerosol" by Sengupta et al. (2024)
<p>Simulation data underlying all figures presented in "Impact of acidity and surface modulated acid dissociation on cloud response to organic aerosol" by Sengupta et al. (2024). DOI: 10.5194/acp-24-1467-2024</p> <p>The data for each figure and the plotting scripts are included in a zip file labelled by the figure number as presented in the paper and accompanying supplement.</p>
Cloud Feedbacks and Organized Convection in Radiative-Convective Equilibrium
<p>Derived data and scripts used in Stauffer and Wing (2024).</p> <p>The standardized RCEMIP output, including time and domain mean profiles, is hosted by the German Climate Computing Center (DKRZ) and is publicly available at <a href="http://hdl.handle.net/21.14101/d4beee8e-6996-453e-bbd1-ff53b6874c0e">http://hdl.handle.net/21.14101/d4beee8e-6996-453e-bbd1-ff53b6874c0e</a>.</p> <p>Descriptions of each of the data files and the variables contained within them are discussed in a README file. The jupyter notebook contains the scripts used to plot the figures used in Stauffer and Wing (2024).</p> <p>Updated 01 April 2025 to include corrected Index of Organization values.</p>
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>
Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.
<p>Cloud computing is one of the most popular and sophisticated technologies adopted by organizations worldwide. Some world-leading organizations enhance their efficiency and effectiveness by using cloud computing technology. Working from home (WFH) has been a popular trend among organizations during the coronavirus (COVID-19) pandemic. The COVID-19 saw a breakthrough in work cultures and environments where working from home was a remarkable success in remote working environments, despite being a rare phenomenon in Sri Lanka. Yet, it is argued that the deployment of work from home has not been effective among Sri Lankan business organizations due to a lack of IT infrastructure, facilities, and knowledge. The purpose of the study is to investigate the impact of cloud computing, embracing the service models (Infrastructure as a Service, Platform as a Service, and Software as a Service) as theoretical lenses and testing the COVID-19 as the moderator. The study has been conducted based on a deductive approach and adopted a stratified random sampling method. The sample consisted of 384 IT employees among those who had experienced working from home. The study utilized multiple regression and found that cloud computing service models significantly impact work from home with the moderating effect of COVID-19.</p>
Effects of pH and light exposure on the survival of bacteria and their ability to biodegrade organic compounds in clouds: Implications for microbial activity in acidic cloud water
<p>Our manuscript was submitted to ACP. Upon submission, all data must be accessible by anonymous access.</p>
Dataset for: Synergistic iodine, sulfur, and organic-driven new particle formation enhances cloud-relevant aerosols in the Arctic
<p>This is the data required to reproduce the main, extended data, and supplementary figures from Synergistic iodine, sulfur, and organic-driven new particle formation enhances cloud-relevant aerosols in the Arctic. All data will be made public upon publication of the manuscript. See individual files for metadata.</p>
RB920160The gas-phase oxidation of mixed organic films at the air-water interface testing for cloud climate effects in more representative proxies
<p>Binned neutron reflectivity data for titled experiment.</p>
9-10-1014: The gas-phase oxidation of mixed organic films at the air-water interface – testing for cloud climate effects in more representative proxies of real clouds
<p>Binned Neutron Data for the titled experiment 9-10-014</p>
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