Data for Paper "Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras"

Authors

Mariko OueFollow
Pavlos Kollias, SoMASFollow
Edward Luke, Brookhaven National LaboratoryFollow
Katia Lamer, Brookhaven National LaboratoryFollow

Document Type

Research Data

Publication Date

6-5-2020

Keywords

phased array radar, polarimetric radar, cloud radar, waterspout, thunderstorm, cumulus cloud

Abstract

The data include:

• Stony Brook University phased array radar (SKYLER) data collected on August 21, 2019 and September 2, 2019.
• Stony Brook University Ka-band scanning polarimetric cloud radar (KASPR) data collected on August 21, 2019, August 25, 2019, and September 2, 2019.

Those data were used in the paper "Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras" submitted to Geophysical Research Letters.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Kollias, P., E. Luke, M. Oue, and K. Lamer (2020), Agile adaptive radar sampling of fast-evolving atmospheric phenomena guided by satellite imagery and surface cameras, Earth and Space Science Open Archive, doi: 10.1002/essoar.10502948.1