Dataset for "Assessing the aerosols, clouds and their relationship over the northern Bay of Bengal using a global climate model"
<p><strong>The dataset is organized into two ZIP folders as described below.</strong></p> <p><strong>1. Model simulation dataset:</strong> This folder (<strong>merged_data_files</strong>) contains 2 folders.</p> <ol> <li>Netcdf files of CESM experiments output for the study. A total of 8 experiments have been performed which can be identified by the filenames (CAM5, CAM5G, Q6, Q48, Q96, UV6, UV6Q48). Each experiment has a total of 360 time steps corresponding to daily output December-January-February (DJF) months of 2006-2010. It is to be noted that all the simulated cloud variables are from the MODIS COSP simulator output and have been restricted to low clouds (grids with cloud top pressure less than 680 hPa have been excluded). Following are the variables in each of the netcdf file of experiments which are analysed in the research article: <ol> <li> <p>AODVISEXT - Aerosol optical depth visible range</p> </li> <li> <p>LCODEXTLOW - MODIS Liquid Cloud Optical Thickness</p> </li> <li> <p>LCFEXTLOW - MODIS Liquid Cloud Fraction</p> </li> <li> <p>LCEREXTLOW - MODIS Liquid Cloud Particle Size</p> </li> <li> <p>LWPEXTLOW - MODIS Cloud Liquid Water Path</p> </li> <li> <p>CTPEXTLOW - MODIS Cloud Top Pressure</p> </li> <li> <p>CDNC - Cloud droplet number concentration</p> </li> </ol> </li> <li>CSV files of CTP-COT joint histogram output for each experiment averaged over the study region during DJF season for 2006-2010.</li> </ol> <p><strong>2. Study region shapefile:</strong> This folder (<strong>study_region_shapefile</strong>) contains the shapefile having the outline of the northern Bay of Bengal region which is our study region. The ACI sensitivities discussed in the article have been calculated using the spatial average of data points extracted for this region for the December-January-February months for the years 2006-2010 (360 time steps).</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
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