Physical Sciences and Mathematics Commons^™

Data For Paper "Agile Adaptive Radar Sampling Of Fast-Evolving Atmospheric Phenomena Guided By Satellite Imagery And Surface Cameras", Mariko Oue, Pavlos Kollias, Edward Luke, Katia Lamer

SoMAS Research Data

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.

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Clouds Observed In The Southern Great Plains On May 11, 2011, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …

Multi-Doppler Radar Wind Retrieval Data For Deep Convective Cloud Observed On May 11, 2020, Mariko Oue, Kirk North, Andrea Neumann

SoMAS Research Data

The US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) program’s Southern Great Plains (SGP) site includes a heterogeneous distributed scanning Doppler radar network suitable for collecting coordinated Doppler velocity measurements in deep convective clouds. The surrounding National Weather Service (NWS) Next Generation Weather Surveillance Radar 1988 Doppler (NEXRAD WSR-88D) further supplements this network. The multi-Doppler radar reflectivity and velocity measurements are assimilated in a three-dimensional variational (3DVAR) algorithm to retrieve horizontal and vertical air motions in deep convective clouds. The data includes the 3D wind fields retrieved over a large analysis domain (100 km x 100 km) at storm-scale …