All Climate Events

Webinar: Model Diagnostics Task Force- A Walkthrough of the Technical Vision and the Diagnostics Package

Download as iCal file

Thursday, 09 December 2021, 3:00

Thursday, December 9, 2021. 3:00 PM. Webinar: Model Diagnostics Task Force- A Walkthrough of the Technical Vision and the Diagnostics Package. Aparna Radhakrishnan, Princeton University/NOAA GFDL; Wenhao Dong, UCAR/GFDL. Sponsored by NWS NOAA. More information here. Register here.

Abstract: Climate and weather model development requires ongoing improvements in the representation of a growing list of physical processes. Process-oriented diagnostics (PODs) seek to give insight into the physical mechanisms needed to guide model development. The Model Diagnostics Task Force package (MDTF Diagnostics) is an open-source Python-based unified framework that runs process-oriented diagnostics (PODs) on weather and climate model data. The software package promotes the development and integration of diagnostics by subject matter experts across government, academia, and the private sector to improve the understanding of underlying processes in models under development by NOAA-GFDL and NCAR.In this talk, we will provide an overview of the MDTF framework, encompassing both the technical and the scientific aspects. The technical overview will lay out the design goals and vision, encompassing key aspects such as Continuous Integration (CI), cloud computing and containerization to further
strengthen collaborative development and foster community engagement. A science blurb centered around the Madden"Julian oscillation (MJO) process diagnostics and mesoscale convective systems based on GFDL simulations will be highlighted.

Bio(s): Aparna Radhakrishnan is the data and analytics lead at the Cooperative Institute for Modeling the Earth System (CIMES) at Princeton. Ms. Radhakrishnan is also affiliated with
GFDL since 2009 and is presently the technical lead for Model Diagnostics Task Force. Her research interests are to identify and promote usable techniques for climate data access and
analysis for a diverse group of users. She also believes that the most challenging problems do not necessarily have the most complicated solutions.

Bio(s): Dr. Wenhao Dong is a Postdoctoral Research Associate at the Geophysical Fluid Dynamics Laboratory and the CPAESS Program at University Corporation for Atmospheric Research working with Drs. Yi Ming and John Krasting. He earned his Ph.D. from Tsinghua University in 2018. He has broad interests in model diagnostic and environmental data analysis. He is also fascinated by different extreme precipitating systems on various spatiotemporal scales, including low-pressure systems, tropical cyclones, mesoscale convective systems, etc.

Location  Webinar