Another theme. Rapid changes in technology & data streams create challenges, but huge opportunities for weather enterprise. #AMSSCM2014

Recurring theme: Strong public-private-academic partnerships/collaboration are critical for wx enterprise in the future. #AMSSCM2014

McLaughlin: CASA concept... numerous short-range radars (i.e. on cell towers). Better resolution below 10kft. #AMSSCM2014

McLaughlin: MPAR concept... replace 510 large radars (wx & aviation) with 334 larger phased array radars. #AMSSCM2014

Lautenbacher: Taken 13 years from development to launch of GOES-R (if it launches on time next year). Too long. #AMSSCM2014

Lautenbacher: Too much time from satellite instrument concepts to operational use. #AMSSCM2014

Lautenbacher: One satellite failure would be a disaster. Satellite number is too small. #AMSSCM2014

Jacobs: Satcom antennas used for in flight entertainment (wifi) can also be used to transmit wx data over low bandwith. #AMSSCM2014

Jacobs: Aircraft data is very valuable to NWP, especially over CONUS, but only 10% of commercial aircraft providing data. #AMSSCM2014

Uccellini: Higher resolution GFS operational later this year. Early tests show improved skill (yes, comparable to ECMWF). #amsscm2014

Uccellini slide: Ongoing collaboration within the weather enterprise. #amsscm2014 http://t.co/JWaz5xYFCY

Abrams slide: Some requirements for successful forecast communication. #amsscm2014 http://t.co/TNOL9YOczJ

Roman (PennDOT): Start time and precip type at onset are critical to operations during winter events. #AMSSCM2014

Abrams: Remember, to the user, weather changes very suddenly (squalls, frz drizzle, etc). #AMSSCM2014

Szatkowski slide. Spot on. #amsscm2014 http://t.co/Vh5l6y6z78

Regnier: People are risk averse, even if the loss is nearly certain (denial is not just a river in Egypt. -ss). #AMSSCM2014

Regnier slide: What can go wrong. Meteorologists do this better than average. #AMSSCM2014

Regnier: What makes decisions hard: Uncertainty, high stakes, inexperience, responsibility. #AMSSCM2014

Regnier slide. The system operational forecasters are managing. #amsscm2014 http://t.co/XABgQu4aA5

Now starting session on Conveying Weather Risk. #AMSSCM2014

Abbas slide: Develop workstations that play to human strengths. #amsscm2014 http://t.co/5QDVltdlaL

Abbas: Keep systems visually consistent (thinking this applies to color schemes in Watch/Warning maps -ss). #AMSSCM2014

Abbas: Multiple systems can introduce display and output inconsistencies. #AMSSCM2014

Abbas: Heuristics (intuituve processes based on previous experience) can have positive and negative outcomes in forecasting. #AMSSCM2014

Grady slide. Not just about the volume... But variety. #amsscm2014 http://t.co/m3Q4bgOOyT

Grady: Need to improve metadata, fuse data across domains, develop strong visualization techniques. #AMSSCM2014

Grady: Start with the need, goal, and benefit. Often, 80% of time is spent gathering & organizing data, 20% for analysis. #AMSSCM2014

Novak: WPC is producing 250 model ensemble members; 15 unique model systems each day. #AMSSCM2014

Novak: Human forecasters are still beating straight model guidance, especially in QPF. #AMSSCM2014

Green: New data analytics engines can help forecasters sift through more data effeciently. That is the challenge. #AMSSCM2014