Exploring Possibilities of Weather in the Cockpit with FPAW at NBAA October 2017 Exploring Possibilities of Weather in the Cockpit with FPAW at NBAA Brett Northcutt

Agenda Challenges with weather in the cockpit today Vision of cockpit weather in 5 to 10 years What does Honeywell pursue? What is the process?

Challenges with Weather in the Cockpit Ever-increasing number of weather models and data Ground Radar Cloud Top Airport Weather PIREPs/ AIREPs Lightning Winds Aloft Forecasts Weather data is incomplete How do we make weather improvements profitable? Interpreting the data is getting harder and harder for real-time tactical decisions Training and learning curve are time intensive; New features hard to keep up with; we want to make sure there are no errors in interpretation Trust: What about two sources of data which are similar but not giving the same answer; which do you trust? Heirarchy: What about hierarchy? What about two competing weather issues? Which should I avoid? Lightning or HAIC? Do you know when to use strategic weather (WIS) vs tactical weather (Weather radar)? Higher resolution in numerical models can be misleading and does not mean more accurate BUT … Weather data is still vastly incomplete and will improve exponentially over the next 5 to 10 years; More sophisticated weather models and sensing capabilities coming out constantly What standards do we use? Who owns integrating various sources of data? Are weather data and tools positioned and interpreted properly (strategic vs tactical) How do we make weather improvements profitable? Value stream is ripe with ownership claims; many entities want a piece of the value Airlines Getting more sophisticated OEMs creating their own weather New sensors and services cost money to develop but low willingness to pay? How do we prioritize? How do we decide which to pursue? What Does This Mean for Future Weather in the Cockpit?

Vision of Weather in the Cockpit Connected Weather Radar Airborne Atmospheric Sensors Ground Based Atmospheric Sensors Ecosystem picture is an example of all of the generic sensors which are going to be gathering weather  going to make decisions tougher without the right planning, hierarchy, interpretation Connected Aircraft - Anticipates opportunities and offers unique insights using the power of analytics and a secure communication link to and from the aircraft. 3 examples of new sensors are shown; many others coming Vision -Leverage the Connected Aircraft and a larger sensor ecosystem to simplify how weather data is presented to the cockpit reduces cost for fleet owners and improves experience for passengers, pilots, and flight operations. Weather, if not handled properly, can lead to delays, reduced profits, safety issues  if handled properly, and automatically, can save $s Goal is to make weather as easy to interpret and action as possible  Automated re-route is ideal end-state Leverage the Honeywell Connected Aircraft© and a larger sensor ecosystem to simplify how weather data is presented to the cockpit Add and Connect New Sensors and Simplify

How We Pursue Opportunities Market Which markets do we want to be in? Which markets are growing? Which markets can we be competitive in? Needs Voice of the Customer Needs – Rank and weight Segmentation – Pick your customers Value Can we deliver disproportionate value? Is the customer willing to pay for it? How do we differentiate? User Experience! How do we know what we want to pursue? Markets Look for markets with high CAGRs; much faster than the industry in general Entrenched competitors? High barriers to entry? opportunity for disruption in business model Needs which are not being met Voice of the Customer and Observational Voice of the Customer are key to identifying latent and unmet needs Not all customers in a market have the same needs and willingness to pay Identify and confirm value exists and customers are willing to pay for it. Target Customers that agree with value and are willing to pay for it (segmentation) Basic Customer- and Needs-Driven Approach

Wrap-Up Challenges with weather in the cockpit today Increasing interpretation complexity Incomplete data Need to make money Vision of cockpit weather in 5 to 10 years and what needs to be done Leverage connectivity New sensors to cover gaps in existing weather SIMPLIFY and INTEGRATE What does Honeywell pursue? What is the process? Market  Needs  Value