A Multi-Year Data Set on Aerosol-Cloud-Precipitation-Meteorology Interactions for Marine Stratocumulus Clouds
2021
- 28Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage28
- Abstract Views28
Dataset Description
Airborne data of meteorology, aerosol, and cloud properties that have been harmonized from nine field campaigns during May-September periods between 2005 and 2021 off the California coast. A consistent set of instruments were deployed on the Center for Interdisciplinary Remotely-Piloted Aircraft Studies Twin Otter for these flights. A unique aspect of the compiled data set is detailed measurements of aerosol microphysical properties (size distribution, composition, bioaerosol detection, hygroscopicity), cloud drop size distributions across a broad diameter range, different sampling inlets to distinguish between clear air aerosol and droplet residual particles in cloud, and cloud water composition. The data set is suitable for studies associated with aerosol-cloud-precipitation-meteorology-radiation interactions, especially owing to sharp aerosol perturbations from ship traffic and biomass burning. The data set can be used for model initialization and synergistic application with meteorological models and remote sensing data to improve understanding of the very interactions that comprise the largest uncertainty in the effect of anthropogenic emissions on radiative forcing.
Bibliographic Details
https://open.clemson.edu/all_data/658; https://open.clemson.edu/cgi/viewcontent.cgi?article=1658&context=all_data; http://dx.doi.org/10.6084/m9.figshare.5099983; https://tigerprints.clemson.edu/all_data/658; https://tigerprints.clemson.edu/cgi/viewcontent.cgi?article=1658&context=all_data; https://figshare.com/articles/dataset/A_Multi-Year_Data_Set_on_Aerosol-Cloud-Precipitation-Meteorology_Interactions_for_Marine_Stratocumulus_Clouds/5099983
figshare Academic Research System
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know