Complex process. Many methods needed. Review programs, data input, data output Compare output to other data sources (GSI, CTC) Recruit experts Look for implausible values (very high ERs, unlikely stock composition) Investigate and find solutions to identified problems
Discussed project at co-manager meetings, methodology review, and with constituents Held a co-manger webinar to brief technical staff and solicit input Conducted a co-manger in-person meeting to solicit input and answer questions Many emails requesting input and review from regional experts Established website with educational PowerPoints, data summaries, base period documentation, output summary tables and graphs, model runs, program code, calibration database, etc.