Agenda

AGENDA

Thursday Morning

Plenary (FL2 Auditorium)

08:30-08:45:  Welcome, Goals, Overview of science questions, data collected (CW & LE)

08:45-09:10:  Lab Experiment Overview (Kelley Barsanti, Univ CA- Riverside)

09:10-09:35:  Modeling Fire Emissions (Christine Wiedinmyer, ACOM)

09:35-10:00:  Chemical modeling (John Orlando, ACOM)

 

10:00-10:30:  BREAK

 

10:30-10:55:  Aircraft Field Campaigns (Sam Hall, ACOM)

10:55-11:20:  Surface Monitoring Networks (Sean Raffuse, Univ CA- Davis)

11:20-11:45:  Modeling Fire Plumes (Jingqiu Mao, Univ. AK)

11:45-12:10:  Evaluating 3D Models with Aircraft Obs (Louisa Emmons, ACOM)

12:10-12:30:  Breakout Overviews and Assignments (Christine Wiedinmyer, ACOM)

 

12:30 - 1:30:  Lunch (NCAR Cafeteria, Cash ONLY)

 

Thursday Afternoon and Friday Morning

Breakouts Training Sessions:

A.    IMPROVE and other monitoring data (Sean Raffuse, Univ CA- Davis

a.  What surface monitoring datasets are available

b.  Where do you get these?

c.  What do those data look like?

d.  Tools to deal with these data

B.    BOXMOX training (Becky Hornbrook, ACOM)

a.  Using a box model - what kinds of things can you do?

b.  How to use BOXMOX online

c.  Running test case

- Tutorial

- Tutorial Files

C.    Aircraft campaign data and Model Output (Louisa Emmons, ACOM)  

a.  NASA Toolsets for Airborne Data (TAD)

b.  Identification and summary of relevant data

c.  Where can we find aircraft Campaign data?

d.  What do these data look like? Working with *.ict data

e.  Tools to analyze these data

f.  Existing global model outputs, Formats, Processing tools

D.    Processing data with R (Nick Good, Colorado State Univ.)

a.  How to use R

b.  How can we use R tools to identify BB in aircraft data

c.  Test cases, uncertainties, challenges

E.    Fire datasets, emissions, forecasting, land cover (Christine Wiedinmyer, ACOM)

a.  How fire emissions are estimated

b.  Where to find model drivers

c.  Existing fire emissions datasets - where, what, how

F.    Atmospheric Satellite datasets & Python (Jun Wang, Univ. Iowa)Tools to process satellite data

a.  Existing satellite data - where, what?

b.  Tools to process satellite data

- https://esmc.uiowa.edu/fires_workshop/

- https://github.com/lcastrocg/fires_workshop

Friday Afternoon

1:30-3:00:  Workshop Wrap Up (FL2 Auditorium) (LE, CW, JO)

                   Summaries

                   Guidance to upcoming campaigns (FIREX, WE-CAN, FIREChem) on gaps in knowledge, plume sampling

                   Future work

                   What tools do we still need? What would make data mining older datasets easier?

                   What does the community want?

                   What are we missing in terms of older datasets?

                   Moving forward - can we mine existing datasets? What is helpful? What do we still need?

                   Products? Papers?

                   What can we do to help facilitate work, proposals, collaborations moving forward?

 3:00 Adjourn

                   Optional: Tour NCAR, side meetings with NCAR people, UCAR/NCAR reception at Center Green