Scientific Consulting Services
Your research has world-changing implications. That’s why you, the scientist, are at the center of our Droplet ecosystem. Our goal is to provide robust support throughout all of your measurement campaigns. Through Droplet Science Programs, our scientists come alongside you to provide support and guidance whenever needed – from foundational questions that drive your program’s objective to implementation and analysis.
Droplet’s science team has worked across all phases of campaigns, and we are ready to assist your program at any stage.
- Project Definition: Droplet can help you frame your key question and define an approach to help answer it.
- Project Funding: We are experienced in writing proposals to secure funding for your critical research.
- Program Execution: Droplet scientists work in the field alongside your team to ensure proper instrument operation and data validity.
- Data Analysis: Droplet is experienced in crunching and understanding the impact of the data you collect. We will help you find meaningful insights.
- Publications: Your findings are important for others in the community to access and understand. We have contributed to hundreds of papers and can assist in your own efforts to publish your findings.
Goal: To support the 2018 Winter Games with accurate weather predictions, the Korea Meteorological Administration (KMA) initiated the International Collaborative Experiments for PyeongChang Olympic and Paralympic winter games (ICE-POP).
Program: Droplet scientists consulted with KMA to determine the optimal site, managed a two-month deployment with the SPIN, and ensured data collection throughout the 2018 Winter Olympic and Paralympic games. Our scientists also performed data analysis to understand the mechanisms of ice formation in clouds and the formation of snow.
Results: Measurements from the program have been compared with temperature-only parameterizations to analyze model accuracy and relevance to PyeongChang. Ultimately, a more accurate parametrization derived from measurements will be developed going forward, and will improve the accuracy of snow forecasts in the region.
Goal: The objective of this program was to develop and assess an autonomous unmanned aircraft system (A-UAS) that would utilize in-situ real-time data to sense and target suitable clouds for seeding.
Summary: Droplet scientists partnered with CU to develop UAV-versions of a cloud droplet probe. Our scientists will further work with CU to analyze data in support of algorithm development to identify areas most suitable to seeding and automate seed/no-seed decisions.
Results: Droplet’s work with CU on this program has led to the delivery of the “right” amount of the “right” seeding agent at the “right” time and place.