INCUS Early Adopters
What is an early adopter?
Early Adopters (EAs) are individuals or groups who would like to use INCUS data products in an existing application or decision-making activity, or to use INCUS data to develop new research results and applications. More information on NASA early adopter programs can be found in the NASA Applied Sciences Early Adopter Handbook.
Why become an early adopter?
Becoming an early adopter provides numerous benefits, including:
- Regular interaction with the INCUS mission science team
- Early access to data products
- Opportunities to collaborate with the INCUS science team and other early adopters
How can I become an early adopter?
Please complete an early adopter application and we will be in touch.
Current INCUS Early Adopters
| Name | Affiliation | Project |
|---|---|---|
Name John Xun Yang | Affiliation University of Maryland, College Park | Project L1 microwave radiometer brightness temperature denoising |
Name Andrew Kruczkiewicz | Affiliation Columbia University | Project Use of AUX-RSURF IMERG data to understand the extent to which critical thresholds (spatial, temporal, and intensity) can be defined by a physical-socioeconomic framing to inform disaster preparedness and resilience policy. |
Name Charles Helms | Affiliation U. of Maryland & NASA GSFC | Project Comparison of INCUS retrievals to total vertical mass flux from thunderstorms derived from airborne Doppler radar. |
Name Milind Sharma | Affiliation IIT Bombay | Project Joint analysis of radar, radiometer, vertical mass flux, and lightning observations to better understand the role of near-storm environmental conditions in lightning jumps and updraft lifecycle. |
Name Jie Gong | Affiliation NASA Goddard | Project ML-based 3-D cloud structure reconstruction and atmospheric motion vector retrieval for 3D clouds. |
Name Isaac Moradi | Affiliation UMD/NASA | Project Assimilation of microwave and radar observations |
Name Naoko Sakaeda | Affiliation University of Oklahoma | Project To study environmental properties associated with convective activity and cloud formation, particularly associated with the Madden-Julian Oscillation and diurnal cycle of convection over different tropical regions. |
Name Xingchao Chen | Affiliation Penn State University | Project Tropical convective, Tropical cyclone, Data Assimilation |
Name Ethan Nelson | Affiliation tomorrow.io | Project Cross-instrument comparisons and information content studies |
Name Sarah Griffin | Affiliation UW-CIMSS | Project Use of INCUS data in convolutional neural network tropical cyclone intensity estimates |
Name Randy Chase | Affiliation tomorrow.io | Project Use of Ka-band radar in precipitation retrievals and numerical forecasting |
Name Christopher Slocum | Affiliation NOAA/NESDIS/STAR | Project Application of INCUS data to tropical cyclone genesis and intensity analysis and forecasting |
Name James Darlow | Affiliation Joint Typhoon Warning Center | Project Application of INCUS data to tropical cyclone genesis and intensity analysis and forecasting |
Name Christopher Smith | Affiliation Cooperative Institute for Satellite Earth System Studies (CISESS) | Project Convective initiation and forecasting for heavy rainfall applications at the National Weather Service Weather Prediction Center |
Name Hannah Vagasky | Affiliation Atmospheric and Environmental Research Group, JANUS Research Group | Project Use of INCUS to understand how the stratiform region of mesoscale convective systems forms and sustains |
Name Hazem Mahmoud | Affiliation NASA ADNET | Project Support of science enablement as part of the NASA Earth Science Division Earth Action Strategy |