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Micro2Macro: Origins of Climate Change Uncertainty Workshop Agenda

Time Agenda Presenter Presentation file

Workshop registration and breakfast

Welcome, opening remarks, and workshop goals

Edward Seidel, President of the University of Wyoming

 

Parag Chitnis, Vice President for Research and Economic Development

 

Daniel McCoy, University of Wyoming

 

Rob Wood, University of Washington

Session 1: What's Wrong with Microphysics in Climate Models?

Chairs: Adele Igel and Daniel McCoy

(Invited) What’s wrong with microphysics in climate models, and how can we fix it? Johannes Mülmenstädt, Pacific Northwest National Laboratory
(Invited) Addressing outstanding uncertainties associated with high clouds Sylvia Sullivan, University of Arizona
Detecting and identifying the impact of parameter interaction on climate model outputs based on two Perturbed Parameter Ensembles (PPEs) Qingyuan Yang, Columbia University
Tracking structural uncertainty in aerosol model representation Nicole Riemer, University of Illinois Urbana-Champaign
The relationship between condensate lifetime and precipitating efficiency and their response to sea surface warming Hassan Beydoun, Lawrence Livermore National Laboratory

Open discussion

Break

Lightning talks for virtual posters

Poster Session 1

Lunch

Session 2: Can We Even Observe Microphysics?

Chairs: Coty Jen and Masa Saito

(Invited Virtual) Watching super-cooled water droplets nucleate heterogeneously with high speed cryo-microscopy Nadine Borduas-Dedekind, University of British Columbia
(Invited) Remote sensing for cloud and precipitation measurement and science — Promises and challenges Christine Chiu, Colorado State University
Can we infer microphysical process information from (infrequent) snapshots of data? Graham Feingold, NOAA Chemical Services Laboratory
(Virtual) Aerosol products from PACE multi-angle polarimetric observations Meng Gao, NASA Goddard Space Flight Center
Molecular simulations provide evidence in support of ice nucleation upon collision or breakup of supercooled cloud droplets Elise Rosky, University of Michigan

Open discussion

Break

Breakout Session 1

End of day 1 for virtual participants; Networking event

End of day 1

Time Agenda Presenter Presentation file

Breakfast

Recap day 1

Session 3: How are Observations Being Used to Improve Models?

Chairs: Leighton Regayre and Duncan Watson-Parris

(Invited) Towards maximum feasible reduction of aerosol forcing uncertainty Ken Carslaw, University of Leeds
(Invited) Using observations to design Earth System Model Perturbed Parameter Ensembles Gregory Elsaesser, NASA Goddard Institute for Space Studies
Constraining warm cloud precipitation initiation using aircraft measurements Patrick Chuang, UC Santa Cruz
Satellite-based model constraint on cloud microphysical processes and its link to radiative forcing of aerosol-cloud interaction Kenta Suzuki, University of Tokyo
Unraveling the striking difference in causal low-cloud susceptibility to aerosol between GCM and observation Jianhao Zhang, NOAA Chemical Sciences Laboratory

Open discussion

Break

Poster Session 2

Lunch

Session 4: How Can We Plan Future Process Observations to Reduce Climate Change Uncertainty?

Chairs: Susannah Burrows and Rob Wood

(Invited) Ice multiplication as a long-standing question in cloud microphysics Alexei Kiselev, Karlsruhe Institute of Technology
(Invited) A process system approach for addressing climate change uncertainties Christina McCluskey, NSF NCAR
A novel computational framework for optimal experimental design to improve climate prediction Zhongjing Jiang, Brookhaven National Laboratory
Investigating the impacts of aerosol perturbations with a denoising diffusion model Jatan Buch, Columbia University
Observing cloud microphysics using (ultra) high resolution radar and lidar system Zeen Zhu, Brookhaven National Laboratory

Open discussion

Break

Poster Session 3

Breakout Session 2

End of day 2

Time Agenda Presenter Presentation file

Breakfast

Recap day 2

Session 5: What Do We Do Next?

Chairs: Ann Fridlind and Susannah Burrows

(Invited) Simulating cloud microphysics across scales for predicting climate extremes Andrew Gettelman, Pacific Northwest National Laboratory
Significant trend in vertical wind velocity variability revealed by machine learning Donifan Barahona, NASA Goddard Space Flight Center
Confronting structural uncertainty in aerosol-cloud interactions through process-level benchmarking Laura Fierce, Pacific Northwest National Laboratory
The death of autoconversion? Kaitlyn Loftus, Columbia University

Open discussion

Break

Final discussion and next steps

End of workshop