Does This Year In Cincinnati Seem Unusually Cloudy To You? You’re Right.

If you’re thinking 2021 has been very cloudy, you’re right. Including today (which is likely to change with late day sun, but we’ll use data through 4pm today), today was the 10th completely cloudy day in Cincinnati:

We’ve not only had 10 days with 100% cloud cover in February; we also had 15 days with no sunshine in January:

This means we’ve had 25 days so far in 2021 with no sunshine:

That also means 47% of all days so far this year have been cloudy, and 88% of all days so far this year have had more clouds than sun. Is this unusual? It is. Through this date in 2020, we only had 20 completely cloudy days, but 86% of all days through February 22nd had 50% or more cloud cover:

2019 had a similar start through this point in the year; there were 21 days with no sun, and all but 5 days had clouds winning out:

2018 YTD had fewer 100% cloudy days, but only 9 out of 53 days had less than 50% cloud cover:

Compared to 2018, 2017 year-to-date had fewer days with more sun than clouds:

2016 had a more even distribution of days by average cloud cover and fewer overcast days:

Recent history would suggest that it’s not unusual to have more clouds than sun in February, but 2021 so far has been among one of the cloudiest. The average daily cloud cover for Cincinnati month-to-date is about 80%, and only one February – 2018 – has been cloudier:

…and the year so far is also quite cloudy compared to other recent years. Only 2019 – with 57% of all days through this point in the year having 90%+ cloud cover – beats 2021:

A big reason why it has been so cloudy recently is the amount of snowfalls. Despite being about 1/2″ behind average for total precipitation in February so far, nearly 22″ of snow has accumulated so far this month in Cincinnati…and when it snows like that, it will be cloudy:

The only next few days will be slightly brighter than the month so far, but a mix of sun and clouds is about as soon as it gets through the middle of next week.

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What Happened To All That Snow You Had Forecast?

Just before 6pm on Monday, February 15th, I posted these words on social media: “Trolls and haters…this is your time to shine, and bring your worst.”

And they came.

There is no denying my forecasts for snow in the days leading up to the event were very different than reality. And just so we’re clear, here’s what I had forecast last night:

This is a large amount of snow for the Cincinnati area. But note that I have lower totals to the east where I felt sleet and freezing rain would be mixing in. Models become increasingly more aggressive with the presence of sleet – at the expense of snow – by midday Monday, and my forecast had changed:

By this point, sleet was falling, and I had accounted for the sleet and freezing rain rain accumulations…but I hadn’t cut snow totals significantly yet. But what was with the sudden change?

Over the last few days, it has been very clear that we would have moisture moving into the Ohio Valley on Monday. Here’s a total precipitation (all precipitation types melted down to liquid) forecast through Monday from the NAM model run early Sunday:

So we we’ll have precipitation Monday, but how much of this is going to be snow versus sleet versus freezing rain? That depends on the temperature. In meteorology, you multiply the liquid-equivalent amount by a factor to create a “snow-to-liquid” ratio. A temperature near freezing would align with a snow-to-liquid ratio of 10:1, but temperatures in the low 20s would support a ratio of 12:1-17:1. And remember, some of that liquid-equivalent could be rain, freezing rain, or sleet…or a mix of all of those. Let’s assume the 0.66″ is right and all snow, though. Here’s the snow-to-liquid ratio math for 0.66″:

If this 0.66″ is right, a forecast of 6 to 12″ is appropriate, but you want to be as specific as possible. 8-12″? 6-9″? But what if this 0.66″ isn’t right? What if it’s 0.40″ of total precipitation? Here’s the math on that:

That’s a lot less snow. If the models went from 0.66″ to 0.4″ (a drop in 0.24″) of precipitation, your snow totals are probably going to go down by at least a couple of inches. In reality, 0.2″ of liquid-equivalent fell at the Cincinnati/Northern Kentucky International Airport between 1pm and 8pm Monday! Many models – so far – are not close with this total.

Let’s revisit the temperature issue, including in the vertical. Here’s what the same model (Sunday’s 7am NAM model) is showing for the vertical temperature profile for 10am Monday morning:

This a complex graphic, but know that altitude increases moving to bottom to top in the graphic, and the red line is the temperature. The red line is left of the 32° line, and this mean the temperature is below freezing (and at least by several degrees) over a large depth of the atmosphere. This suggests we will see snow and avoid freezing rain, sleet, and rain.

Fast forward the clock to 7am Monday morning. Here’s the actual/observed temperature profile from Wilmington, Ohio:

The surface temperature is close to what is shown above, but note the temperature line (red) is closer to the freezing line (blue) compared to what is shown above. The temperature, though, is still below freezing, so snow is still the focus.

Let’s fast forward the clock to 3pm Monday. This is same model (NAM) but only looking 9 hours into the future from when the model was ran. It has a temperature near 32° just a few thousand feet above Cincinnati. This layer of air is warming.

Suddenly, our forecast for snow is not looking as good. Remember, this is a modeled temperature profile. Weather balloons only get launched early in the morning and early in the evening. Monday evening’s weather balloon launch from Wilmington, Ohio shows even warmer air aloft:

Courtesy: NWS Wilmington

Uh, oh. The temperature is a few degrees above freezing 6,000′ above the ground. This means snowflakes well above the ground are falling into this warm layer, melting, and then refreezing as they fall several thousand feet toward the ground. This is also known as sleet. Of the total precipitation that falls, more of it is falling as sleet (and less as snow) when this happens. This is a key reason many didn’t get slammed with snow. Many models were too wet with this system, and many did not capture the warm air invasion/advection aloft.

You may say: “Well, Scott, aren’t you a meteorologist? Isn’t it your responsibility to see this?” And to that I say…with what? How do I know what the temperature is at 7,000′ above the ground at every hour of the day? As I said above, weather balloons are launched twice a day in Wilmington, and the morning weather balloon was suggesting snow. How about data from an airplane? That data does exist, but it’s expensive and not publicly available. Plus…an airplane has to sample that air. So how would I know about this temperature change aloft as a forecaster? I must – in part – follow model guidance to see this. I can review guidance and compare it to reality (surface reports, satellite, radar)…but to a point. I can’t see, sample, or collect everything. And today, the things I couldn’t see….temperatures a few thousand feet above the ground and how much precipitation would fall…were not something I could understand without modeling.

The impacts of this system were good (roads were terrible, visibilities were reduced, accidents happened), but the precipitation type and amounts were off. And now you know why it’s not as easy as it looks.

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Is January 2021 in Cincinnati Cloudier Than Most?

Does this month seem cloudier than usual to you…or does it just feel that way?

Tuesday was the 13th day of January 2021 so far with 100% cloud cover between sunrise and sunset:

In other words, half of all of the days this month have had no to extremely filtered sun. There have only been two days so far this month with more sun than clouds during the day. Is this unusual?

The average of the average daily cloud cover for January 2021 so far is 78%. Compare that to 80% for all of January 2020 and 2019…and the 85% average daily cloud cover for all of 2017. This month has been cloudy, but three January’s since 2011 have been cloudier. As a first pass, January 2021 actually hasn’t been that cloudy for January standards; this is because January is often a very cloudy month.

What’s the story with January 2020, 2019, and 2017? January 2020 only had 11 100% cloud cover days, but 90% of all days (28 out of 31) had 50% or more cloud cover:

January 2020 was quite wet, with 4.14″ of precipitation. January 2019 had 14 completely cloudy days but only 6 days with 50% or less cloud cover:

January 2019 was also an active weather month with 4.11″ of precipitation. January 2017 had less precipitation (3.67″, which is 0.67″ above the monthly average), but it was quite cloudy. 81% of all days in January 2017 had 80% or more cloud cover:

There is a loose relationship between monthly precipitation and cloud cover for the month overall (of course, it’s not that simple). Interestingly, there was less than an inch of snow accumulation in January 2020 and only 4.2″ of snow accumulation (that’s below the monthly average of 6.5″) in January 2017. January 2018 had more snow accumulate (6.2″) but had less cloud cover.

Hang in there; the average daily cloud cover will increase in the next few months. Over the last few years, average cloud cover in February has centered between 70 and 90%:

By May, percentages drop to the 60 to 75% range:

By July, these percentages drop into the 45 to 65% range:

Data confirms brighter days are ahead, but this will be a gradual transition spanning the rest of the winter and spring.

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Has This Month And Year Been Cloudier Than Usual in Cincinnati?

Several people have reached out to me on social media recently about how cloudy this year, winter, spring, or month has been in Cincinnati. Does the data support it? How do we answer this question?

Quantifying cloud cover is difficult because clouds in the sky appear at different layers and with different opacities. One way to measure cloudiness for a period of time is by looking at the average sky cover between sunrise and sunset. This definition is particularly convenient since it is calculated daily by the National Weather Service for long-term climate sites like Cincinnati. For this analysis, we will use this average sky cover metric which is defined as:

The average sky cover between sunrise and sunset in tenths of sky covered. The minimum of “0” (0%) means no clouds observed, “10” (100%) means clouds covered the entire sky for that day. (Source)

Admittedly, data quality is not great from 2010 through 2013, but it is better for more recent years. Also, we’ll use 4pm on May 11, 2020 as cut-off time for this analysis

There are many ways to present the data, so let’s start with just the month of May:


We’re 11 days into the month and 10 out of 11 days (91%) have had at least 50% cloud cover. Is May usually this cloudy? Does it seem more cloudy than last May? Here was the distribution of cloud cover in May 2019:


About 84% of all days last May had 50%+ cloud cover, and 22 out of 31 May 2018 days had at least 50% cloud cover:


There were 23 days in May 2017 with more clouds than sun, and 15 of those had at least 70% cloud cover:


May 2020 is young, but if the month had ended today, it would be the cloudiest May in the last several years:


It is worth noting that early May tends to be more cloudy than late May with temperatures rising and a lean from stratus to cumulus clouds…so this average of 70% cloud cover is likely to change and will probably decrease.

How about the year to date so that we can make an apples-to-apples comparison of this year to previous years? So far in 2020, there have been 38 days with 100% cloud cover (Monday was one of them):


Also note the left-leaning tail on the data towards more cloud cover. 81% of days so far in 2020 have had 50% or more cloud cover. In 2019, about 82% of days through May 11th had 50% or more cloud cover; we also had 4 more days with 100% cloud cover through this point in 2019:


Through this point in 2018, there were 15 days with 20% or less cloud cover…compared to 5 days in that same time during 2019 and 2020:


From a year-to-date perspective, 2017 had more 50%+ cloud cover days than 2018, 2019, or 2020…but fewer 100% cloud cover days than those same years:


Finally, 2016 year-to-date had relatively few overcast days compared to 2020, 2019, 2018, and 2018:


How does the average daily cloud cover so far this year compare to other recent years? We’re averaging about 74% cloud cover each day in Cincinnati thus far in 2020; this is about the same as it was in 2017, slightly more than in 2018, and slightly less than in 2019:


I will remind you that data quality issues affect the averages from 2010 through 2013, but it is clear that the last four years-to-date have been cloudier than the four that came before it. So what is driving this? This is not an easy answer, but here are some high-level thoughts:

  • March 2020, 2019, 2018, and 2017 had 8, 10, 11, and 7 completely cloudy days respectively compared to 8 in March 2016, 8 in March 2015, and 2 in March 2014.
  • March 2020 had no days with 0%, 10%, or 20% cloud cover.
  • February 2020, 2019, and 2018 had 11, 9, and 14 100% cloudy days whereas February 2017, 2016, 2015, and 2014 each had 5 to 8 completely cloudy days.
  • January 2020, 2019, and 2017 all had left-tailed cloud distributions, whereas 2018, 2016, and 2015 had more even distributions.
  • Overall, cloud cover in January, February, and April between 2017 and 2020 was a couple to few percentage points higher than in those same months of 2014, 2015, and 2016

Relative to averages, precipitation surpluses are 2.85″ and 0.94″ since January 1st and March 1st, respectively. It makes sense that a wetter than average start to the year is likely a frequently cloudy start to the year as well.

The more complex answer is not as easy to pinpoint. Temperatures several thousand feet above the ground have an impact. The timing of weather systems, wind speeds at the ground and aloft, and snowpack can all influence cloud cover.

And, in case you’re wondering how Cincinnati’s 38 days so far in 2020 with no sunshine compares to other cities…

Denver has has 3 of those days:


Minneapolis has had 25…


…and the infamously cloudy Seattle, Washington has had 25:


Brighter days are ahead, so hang in there!

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Thank You, John Lomax


This post is long overdue, but I owe you – at bare minimum – a very large thank you for all you did for me years ago, especially from late 2015 to the end of my time working with you in late 2017.

It was clear both off and on-air that we respected each other from our first day working together in November 2011. We wanted each other to succeed, we wanted to laugh together, and we enjoyed each other’s conversation. Lunch time was went I usually saw you, but we would occasionally spend hours working together from the middle of the night to the middle of the morning. We were serious when we needed to be, and we were silly and fun when it was appropriate.


While your days and responsibilities have been fairly consistent over the years, my days and responsibilities in the 2010s were increasingly difficult and mentally challenging. You saw how I wanted to grow, but you also saw – first hand – the confines of my environment and situation. You knew that I was often unhappy and yearned to make a change in my life that would make me feel more successful.

In late 2015, I made the choice to pursue an MBA, and I was pleased when you supported me. When I was applying to Xavier’s Williams College of Business, I asked you to write me a letter of recommendation…and you did. The assistant dean for the College of Business later told me that your letter and recommendation was a one of high endorsement and played a key part in my admission. For this, I am forever grateful. Your words and support activated a new path in my life.

From the time I was applying to Xavier until the time I started a new job, I asked you to not share the fact that I was working on an MBA with our co-workers. Being the “camp counselor” that you are, you were true to your word. Along the way, I needed your mental support and coaching…and you were there. You listened, you encouraged, and were a friend. You often spotted me “over there in the weather center” sneaking a peak at case studies, reviewing flash cards, and posting on class messaging boards, but you never said a word. When others wondered why I was not pleased with coming in to assist for severe weather coverage in the middle of the night, you knew that it was because I had tough mid-term exam coming after a grueling shift ahead.

Amazingly, I made it to the end of my time as a broadcast meteorologist without any of our coworkers knowing I was working on an MBA; I don’t know how I kept 15 graduate-level courses a secret, but I did it. I left swiftly and suddenly, as I hoped I would. Not all friends would keep quiet, but you did.

It is a shame I don’t get to work with you on a daily basis anymore, but I was thankful we got to catch up in September 2019 over food and coffee.


I am looking forward to catching up with you again soon. Until then, I want to publicly thank you for years of support, recommendation, and friendship. There’s a reason so many in the Tri-State trust you; it’s because you’re one of the good ones.





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Loving The Weather While Working In Business; Why I Partnered With WHIO Weather

Just over 2 years ago, I left my career as a broadcast meteorologist behind with an MBA in hand and a new career path in business intelligence beginning. I’ve found success in my second career, but – as you might expect – I still love the weather. Indeed, myself and everyone I know said I did the right thing by leaving where I was to go where I am now…but there’s still that love for meteorology that lingers within you…and you still wish things had worked out in weather.

When I finished up my MBA at Xavier in the summer of 2017, I suddenly found myself with a lot of free time. I was likely to leave broadcast meteorology by the end of the year, so starting projects at my current employer wasn’t the right choice. What should I do with all of this free time? How can I stay involved in weather? And then a path opened up.


Insert Kirstie Zontini – pictured above at the right. She’s a meteorologist at WHIO-TV in Dayton, Ohio. I’ve respected WHIO for a few years, especially given their history of hiring degreed meteorologists and having their meteorologists be certified by the American Meteorological Society. McCall Vrydaghs, pictured above at the left, is the chief meteorologist at WHIO. I had the chance to meet both of them just over a week ago after several months of virtual partnership.

In very late 2017, Kirstie reached out to me on Twitter with great praise for both my time in meteorology – including my graphics and the data within – and my success with getting an MBA. I was quite flattered and appreciated her comments…but the conversation about my career transitions eventually turned to a conversation about how I was creating social media graphics and finding the data often used within them, including these pavement conditions and power outage maps:



Now the dots start connecting: perhaps there’s a path to working with Kirstie that brings some of our ideas to a platform where hundreds of thousands of people can see it. After all and keeping myself humble, my social media pages have a small fraction of the reach that a station like WHIO-TV has.

At first, I tried a “simple” programming route with Kirstie; maybe we can pull some data already on the Internet and let the on-air weather graphics machine do the heavy lifting. Well, that didn’t work…so it was time to move onto the advanced topics. Kirstie’s a great broadcast meteorologist, but – and even she will admit this – she’s not a computer programmer. The next step was to get resources, and Kirstie did just that after connecting with engineers and the IT department; this was no easy feat, and from my side of the fence this was a clear indication that she was passionate and dedicated to tackling some these weather projects.

Once we had resources, it was time for me to use computer programming to pull, clean, and process weather data that WHIO wanted. My first project was to pull Ohio Department of Transportation and Indiana Department of Transportation pavement temperature and wetness data. I found a way to pull the data, and Kirstie got the data into her weather graphics machine and built the graphic (formatting, colors, and all). Here’s the latest version of Kirstie’s graphic:

Next up: power outages. We started this in early 2019. Once again, I pulled the data from Duke Energy, DP&L, and Ohio Edison…and Kirstie did the data importing and graphic building. Kirstie had to color-code all of these counties one by one and for each outage category!

Ironically, Kirstie and I had completed this map and the automation behind it prior to the Miami Valley Memorial Day tornado outbreak in late May. While immediate attention went to the loss of life and property, the attention after those concerns goes to “when am I going to get my power back?” WHIO used the fruits of our programming labor immediately after the tornadoes:

That’s a powerful weather story following a tornado. Seeing this is like being a coach on the sidelines and watching the players on the field succeed. I may have retired from broadcast meteorologist, but it makes me happy to know I still have a stake in the game.

Kirstie and I have also automated a lot of behind-the-scenes processes, including automated river, UV index, and air quality forecasts just to name a few. We’ll be working together in the coming months to make additional data-driven graphics.

So why did I do this?

I still love the weather. When I left meteorology, I had a lot of “gas in the tank” and ideas; why let those go to waste? If someone wants to learn something you’re passionate about, why not support them and mentor them? If you have a chance for a partnership, why not take that chance to do something great? Perhaps most importantly, why sit on my ideas and knowledge when it can be used by others to help others – and in extreme cases – help keep people safe? Didn’t I make that commitment to the community as a meteorologist…and especially after tackling an ethics-based MBA?

I’m thankful for my partnership with WHIO, and I’m thankful to still be involved in meteorology…even if I’m cheering from the stands.

As part of this initiative, I came on McCall and Kirstie’s podcast – “Cloudy with a Chance of Podcast” – recently. Hear more about our partnership, changing, and my transition from broadcast meteorology to the business world here:

•WHIO On-Demand page:
•Google Play:

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18 Ways To Become A Better Meteorologist

I’ve often reflected on my days working as a full-time meteorologist, and I wish I had learned some key lessons much earlier in my career. Alternatively, I wish there been someone to be honest and tell me these lessons of life years ago. Being a meteorologist is a challenge, a gift, a pain, and a reward. It’s easy to get lost in your career and model data, but after 10 years working as a meteorologist and 1.5 years working in the business world (and also time to reflect of my previous career), I wanted to share 18 ways to be the best meteorologist you can be:

1. Realize what your job really is. Suppose you’re an NBA player. What is your job? Is it to score the most points? Is it to be the game MVP? Is it to get the least number of fouls? It’s none of these. It’s actually to get the most number of people in the stands and watching you on TV as possible. It sounds selfish, but without tickets being sold and audiences watching you, you’re likely to be out of a job because your team needs to make money. Now suppose you as a businessperson at a local firm. What is your job? Is it to make the most numbers of sales in your peer group? Is it to give your customers a new product or service every month? Is it to build your resume? Just like the NBA, it’s none of the above…and it’s really to maximize the company’s profits and brand ethically, sustainably, and responsibly. Now you’re a meteorologist. What is your job? It is likely to increase your company’s profits. If you’re a operational meteorologist in the private sector, it’s to get people paying for your forecasts or seeing advertisements where they are posted. If you’re an National Weather Service meteorologist, you’re in a unique position: your job to to issue forecasts, outlooks, advisories, warnings, and watches that protect life and property…or create tools that fulfill this mission. If you’re a broadcast meteorologist, your job is to sustain or boost ratings through marketing and accurate forecasts (perceived or reality). You don’t have to have the best forecast to make the most money; you just have to have superior perception or superior value to customers.


2. Start looking at those you forecast for as customers. Speaking of customers: those who see your products and forecasts are not “viewers” or “the public.” They are customers. If you think back to your summer jobs in high school and college, you served customers with a smile and by giving those who came into your business a product or service with value. People who read your forecasts or hear your weather presentation should be treated with respect and dignity; there’s no inferior customer, and you should work to give them what you want within reason.

3. Data and insights are the best way to be different. So you have a good forecast, and you need to make the company money through your customers. What’s the best way to attract them to you? Your bright and cherry personality? Your good looks? Your wonderful smile? Your baritone pipes? Talking like you’re on old time radio? Try a more humble approach: data and perspective. You have storms moving through; they are threatening and strong. What do your customers want? They want to know where the storms are, where they are moving, and what impact they will have. Your shiny personality won’t save you; you need to know how to use radar (reflectivity, velocity, spectrum width, and all of the dual-pol products) and know the threats before the National Weather Service does. They want to know where power outages are. They want to know whether this is normal; that’s where your experience comes into play. They want to have minute-by-minute updates of what conditions are like; knowing where to find airport and local weather sensor data will enable you to tell your customers with confidence what is and isn’t happening. Knowing where to find field and model data that no one else can will give you an advantage over your competitors but will also inform your customers. Telling your customers is one thing; showing your customers is another. Are you getting that data that tells your weather story into your forecasting or weather presentation system? You should be. If you’re not, figure out how to make it happen! Learn and innovate!

4. Aggregate and organize data behind the scenes. This will save you a lot of time and enable you to focus more on what’s important. Programming will help you assemble model guidance and quality control it so you don’t have to waste time each day when you’re forecasting. Surprise! There’s an earthquake! Are you ready? How are you going to be a source of information to your customers? If they get valuable insight and information from someone else, you risk losing your reputation and credibility…and, more importantly, perhaps your job and company’s profitability.

5. Ask your customers want they want, and give them some of what they don’t. Let’s go back to that NBA game where you’re a point guard. What do your customers want? They want to be entertained! They want you to win the game, especially by a game-winning-buzzer-beating shot! But let’s say you’re not a big 3-point player; on occasion, take a 3-point shot. Your fans won’t be expecting it or even want you to take the long shot, but they will be happy if you make it. As a meteorologist, that means things like explaining vorticity at a very basic level and why it matters. It also means varying your style; take a dare to be different at least occasionally, even if your customers like a pattern.

6. Forecast specifically, and lead with what you know. Your customers can get a wishy-washy forecast for “a chance of storms today” from anywhere. Lemme guess; you have the word “details” in the tease to your forecast? Your customers have seen that. Give your customers an accurate forecast. Say “scattered showers and thunderstorms between 1pm and 7pm” with confidence. Some days, you’ll have models that are out to lunch. Tell the people what you know. When is the most likely time for rain? Can you say with confidence that the rain will be light? How would you describe the coverage, even if you’re a little off? What will happen, and what is to be determined? Don’t focus on potential or what won’t happen; focus on what is certain.

7. Don’t be a National Weather Service repeater. Be a meteorologist. If your prime responsibility is to just relay what the NWS says, you’re not using your degree in meteorology, and they are. You don’t need to tell your customers about every alert the NWS issues, including non-life-threatening alerts like Flood Advisories. If you feel that the National Weather Service is slow to the punch on an alert (or warning), tell your customers; you don’t need to wait for their blessing. They aren’t waiting for you, and you have the same degree (at least you should), so get movin’!


8. The best starting forecast is the last shift’s forecast. It’s a lot easier to use the previous shift’s forecast as a starting point. Ask yourself: do I have justification to raise high temperatures 1° every day for the next 5 days. Think of your customers: do they care? Is it better to be consistent or forecast every shift not even considering the slew of model data the previous shift reviewed? Humble yourself, and recognize that there is value in your predecessors’ work. It’s also a lot less work to use the previous forecast as a starting point.

9. Don’t be so eager. If you’re willing to work turn-around shifts or go to work on a few hours of sleep, you’re likely too green. Don’t be a sucker. Say “no” at least occasionally. Do your job, and go home. Don’t get walked all over. If you’re working all of the holidays, weekend, and non-prime-time shifts, you’re getting the shaft. Over time, you should be advancing. You’ll look like on your “green years” and shake your head if you’re not careful.

10. Perspective requires research. When you’re going into a severe weather event, do you know the last time a tornado was confirmed in your area of responsibility? Do you know how rare an EF-2 or EF-4 tornado is for your area? When an insurance firm says that the damage caused by storms in your areas responsibility is estimated at $1 billion, does that seem right? If you’re expecting a high of 100°, are you prepared to answer questions from your customers about how often your area of responsibility sees a high of 100°? Regardless of what you do as a meteorologist, you need to provide perspective on weather events. Being a smiling face and personally won’t cover for you when you have to explain weather to your customers.


11. Force yourself to get away from work. You can’t work all of the time. Time out some of your social media posts. Get a good significant other. Make friends. You need distractions from work or you’re going to burn yourself out. If you must post on social media during your days off, however, use your office tools to post data to a website where only you (or others, if you want) can grab it and post it; this is a good way to post your brand while not at work. Your job should only be a part of your life.

12. Be ready to move at any time. Whether you’re a National Weather Service meteorologist, a private sector meteorologist, or a broadcast meteorologist, it is highly likely you’re going to have to move during your time as a meteorologist. You’ll likely need to do it to advance. Suppose you’re in broadcasting, and you want to be a chief meteorologist. Do you think you’re going to get the job from your current chief when he or she leaves? That’s probably not going to happen. It does happen, but it’s not likely. It’s far more likely that you’re going to have to move to Omaha, Boise, San Antonio, or Huntsville to get your chief gig. And then you have to love that town and city and connect with it. Are you willing to do that? Now suppose you’re an NWS meteorologist and want to be a lead forecaster. Are you willing to move to North Platte, Nebraska to do that? You may have to. There aren’t a lot of meteorologist jobs in any given town, so if you want to advance in the industry, you’ll need to pack yourself or your family up and move at least once…and likely a few times before you’re in a semi-permanent spot. Going back to the earlier example, even the best NBA players got traded or went to a new team after a while.


13. Corporate consolidation is not your friend. The modern way of doing big business – so it seems – is to buyout a company and collect their revenue while paying down the debt. Every good business, realistically, needs to monitor their cash flow (both revenues and costs) and increase profitability. One way to do this is to scale. If you stay with your company long enough, they will likely be bought. Even The Weather Channel got bought by IBM. The National Weather Service is likely exempt from this clause, but the broadcast and private sector will see this for years to come. When you get acquired, the rules change. Managers get fired and replaced with new ones. The expectations and demands of jobs are different. The culture changes, and – unfortunately – the ethics of your employer can change. If you don’t like your new company, there are a decreasing number of employers for which you can work (they are consolidating). If you leave Company A and go to Company B, there’s a chance Company A will buy Company B, and your soliloquy about “poor working conditions here at Company A” will come back to bite you. Leave on good terms as much as possible because the grass isn’t always greener and everyone is buying up land.

14. Ask yourself two questions frequently: “Do I enjoy doing this?” and “If not, how much longer am I going to do this?” When you first start in meteorology, you’re going to be bottom man or woman on the totem pole. You should be, but – in time – you should also advance. Unfortunately, some people don’t advance, and some – even worse – get demoted over time despite good performance. Meteorology and communication are inherently linked, and – despite what you may or may not know – companies often know who they want to communicate more than who they believe is the best meteorologist. With everyone marketing themselves as giving the “more accurate” forecast, companies need to position themselves to have an advantage. They will do that in any way possible. Your responsibilities may not be purely meteorology. Your schedule may be affected by what a company wants to do with you. You may be paired up with people that you like or don’t like. Your team may be great, or your team may not be great. Too few meteorologists regularly review their current situations and ask themselves if they are happy and successful. If you aren’t happy, set a time limit for how long you’re going to do what you’re doing. You’ll need to pay your dues early in the game, but you’ll also need to move on if you’re getting a raw deal.

15. Be careful what intellectual property you create for your company. If you’re not happy where you are, be mindful of what you’re building for your company. Do what is asked of you…but if you’re on your way out, don’t go sharing every idea you have or implementing new competitive advantage tools to make the company better. That idea you’re sharing or implementing may be the company’s once it leaves your lips. Instead, share your brainy ideas in a place and with a company that appreciates you and what you’re developing.

16. You aren’t ready for office politics, but you can and should learn them quickly. There is no high school or college course – that I know of – that prepares you for office politics. Careers in meteorology – like all forms of business – have politics. Companies put people where they want. Companies have their top picks and their bottom picks. You’ll have your days where you feel valued, and there will be other days when you feel very unimportant. Office politics is a complex game that you should not be a master at. Instead, I suggest distancing yourself from problematic people, not insulting others, and laying low. If you’re frustrated, don’t make a scene, and be respectful when solving problems. It is often better to be quieter and watch (and learn from) others who harm themselves and their career for fighting the law (and watching the law win).

17. There will always be someone younger than you who wants your job, and they will do it for less than you. It’s the truth. If you get greedy, companies will find someone else who will take less of a salary and fill your seat. Follow the trends of companies who hire meteorologists. Who are they moving and why? Who are they hiring and why? The trends will help you know whether you should stay or get out of the way.

18. The hardest thing to predict is human behavior. You will, however, be much better prepared if you look for clues and red flags constantly. Circling back around to the NBA player example above, being a basketball player is more than scoring points. You are part of a business, and if you aren’t giving what the business wants, your days are numbered. Understanding what the business wants you to do and mastering that goal is your number one job objective. Business needs, however, change…so you must be willing to listen, learn, and innovate. You must anticipate and monitor your company’s business goals and opportunities and prepare for them. If you’re the leagues best scorer, but the fans and business want close games to drive ratings and create a certain experience, you better strategize how and when you put points on the board. As a meteorologist, this means understanding your business, what they define as value, positioning yourself to fulfill the company’s goals.

Remember that most meteorologists that start their working life in meteorology usually end their working life in another field. It’s okay to evaluate your happiness and success frequently, and it’s okay to make a change. As long as you’re in meteorology, strive to stand out and be different in a positive way. Do they have “one of you?” If so, there’s a better fit for you elsewhere…or you should showcase a different talent. Michael Jordan wasn’t an actor, and he wasn’t in movies and getting endorsements because he was made for the big screen; he got the right kind of attention and he gave his customers want they wanted.

Posted in Reflections, Weather | 1 Comment

People Problems: A Lesson Learned And Who Must Surround You

Do you ever take your work home with you? I encourage you to do just the opposite: take the lessons learned at home to work with you.

After a relaxing Friday night of watching people learn the basics of blacksmithing, I found myself with two challenges Saturday: blindsiding news of investment (apparently) made too early and a heavy, emotional conversation about repairs and future building. Just two days earlier with a friend in town, I found myself in a dense discussion on the quality of our mutual friendships. There are few reminders in life more humbling than those that expose what we can’t control. Yet I found myself today not just enjoying brunch and preparing for the week ahead but also coming across a well-needed and well-timed indication that we can control more than initially thought.

I went to church this morning, and I’ve recently make a change to go to Crossroads in Oakley. Today was only my second time being at Crossroads, but senior pastor Brian Tome shared a sermon and wisdom that we can all take to work and safely bring home, too.

When was the last time to looked at those around you? Where is the knowledge base for friendships and relationships? What are your core convictions about friendships and relationships? How do you choose your friends, who you associate with at work, and even where you work? Is your barometer calibrated correctly?

After all, we are who we spend time with. If you want to be the best version of you, you need to understand who surrounds you.

Brian Tome – in his sermon that I heard today – defines four groups of people around you: VDPs (Very Draining People), VNPs (Very Neutral People), VEPs (Very Energizing People), and VIPs (Very Important People). You deserve to have VEPs and VIPs be the centerpiece of your life.

You know a VDP when you see one:


You react negatively to VDPs because they are negatively affecting your life. Advice you have for them is turned around back on you. Your time with them is not productive, and there is no learning. There is a negative feedback: VDPs’ attitude has a high transmissivity. Cosmetically appealing or not, they are not worth your time.

If a VDP is an overcast day, then a VNP is a mostly cloudy day. A company that is breaking even isn’t much better than a company that is losing money. When the goal is to have relationships that add value to our life, a VNP is still a loss. If names surface after asking these questions, it’s probably time to do some spring cleaning:


I like the spirit of being a gift in someone’s life. Presence alone isn’t a present.

What does where you want to live look like? What does where you want to work look like? What characteristics do the people in those places have? VEPs should be there, and they should be there in abundance, too. You’ll know you’re in good company when they add value to your life or they surface on this list:


These people are your top-shelf peers who you connect with and make your life better. There are those, however, who are there to not just help and guide you, but they are also there to build, grow, and sacrifice for you. You need at least a couple of VIPs nearby:


The VIPs are there to not just celebrate your life, but they actively make it better and are rarely if ever not willing to make you healthier, wiser, smarter, and more successful. Alternatively, you have the same or similar obligation to them.

Your friendships and relationships will drive the joy, happiness, and success of your life – at least in part – so it’s best to get good company around you. Filling your life with VEPs and VIPs is paramount to your success at home and work. You must also work to eliminate VDPs and VNPs from your life and world; let them go for – if nothing else – your own peace. VDPs and VNPs may return to your life, but they are not worth your time if they have no potential or intent to become a VEP or VIP quickly. Before this work begins, though, you must learn to question the relationships and friendships you have and identify the VDPs, VNPs, VEPs, and VIPs.

If you find yourself in a swarm of VDPs and VNPs, it’s time to move forward elsewhere. If you find your work environment making you into a VDP or VNP, it’s also a signal that you must move on.

Structure relates to function, and you can’t afford to sink to the level of being a VDP or VNP.

Who enters the room and immediately makes you smile? Who has sacrificed for you to make sure you were taken care of? Who is a blessing in your life and works to make you better? Answering these questions are paramount your success and your ability to make others successful.

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Why You Don’t Need Regular, Granular Forecast Updates

I woke up this morning to find the weather chatter centering on rain to snow from Monday night and Tuesday. Depending on what computer forecast model you believe, there’s also the potential for snow later this week, this weekend, and the start of the following week. How much snow and when? What will the impacts be on all of these rounds of precipitation? What about that shot of very cold air coming later this week? Then, as a I reached for my first sip of coffee, I saw this:

This tweet invites several questions about you, but mainly: how often do you – the customer – need forecast updates, on what, and why? This tweet also invites a lot of questions about me, meteorologists, and other forecasters, but mainly: after a review of the data, what do I need to share about the forecast while also being responsible, and what do my customers want?

As a meteorologist, I can confirm there is a lot of computer guidance out there. There are American models, European models, Canadian models, short-range models, long-range models, and even models that attempt to predict what the radar will look like in 15-minute increments. You could spend all day looking at guidance, but the benefit in reviewing all of this information is a forecast, or the best theory on what will actually happen.

The cold, hard reality is that customers don’t need to review all of this guidance. That is the job of a meteorologist. But not all meteorologists feel that way; some have become “model regurgitators.” They will give you a forecast, sure; they will also tell you what every single model run says along the way.

Let me give you an example of how this process plays out using one computer model runs over time. Here are recent 24-hour “snowfall” projections ending at 7am Friday from the GFS model:


Each snapshot here shows a “projection” (I put that in quotes because nearly all computer forecast models don’t directly forecast snow, so this is reality raw computer data with human logic that may or may not be correct layered on top of the data to get to a snow amount) from the GFS model. Each of these runs has different inputs of different quality. So which one of these models is right? If you watch the animation for long enough, you’ll see snowy runs and snow-less runs…and eventually you’ll realize that this model is not very consistent. This happens more often than you think.

Let’s go back to that potential for snow Monday night, and let’s see what type of precipitation the GFS “thinks” will be occurring (again, I’m using quotes here because the GFS doesn’t directly forecast what type of precipitation will occur at a given time. A human logic layer is applied here). Here’s the GFS computer projection for 10pm Monday night:


What type of precipitation will be occurring in Cincinnati at this time? Blue is snow, and green is rain. Well…this is complex. More recent runs are faster with line of precipitation and quicker to change over to snow, but we can’t ignore the fact that some recent GFS model runs suggest rain is more likely. We could broad-brush this and say “rain and snow to snow Monday night” (and there’s nothing wrong with that), but time matters when we’re talking snow. A rate multiplied by time will get you to a snow total. I just posted output from one model here, but the job of a meteorologist is to evaluate all model data, outcomes, and trends then make a forecast on what will happen. This means there is little to no value in posting model data for customers to review unless the meteorologist believes that model data is correct. This also means sharing what each model run “says” as it comes in is pointless.

So why is this happening? I have some theories:

  1. Some meteorologists and forecasters want attention, likes, and shares, and they will share model output to get that attention. The concept of “involving the customer in the process” or “bring them along for the ride” is merely a grab for attention. This can easily be countered by saying “I’m informing my customers,” but you can inform them with a forecast, not an attention-grabbing, knee-jerk, likely conflicting series of updates.
  2. It’s easy or at least becoming easier for meteorologists to share attention-getting weather headlines. Computer graphic machines can print out a snow amount for a city from a given model run to the tenth of an inch out to 5-7 days. Find a model run that generates extreme temperatures, severe weather, or big snow…and you’ve got a social media hit and a watercooler conversation.
  3. Meteorologists and forecasters (including non-meteorologists who have access to raw model data and maps) who gather significant attention for their extreme scenario posts often – over time – get an increasing market share, often drowning out those who are advertising more reasonable, modest, or less extreme scenarios. This often fuels misinformation about weather systems and the misconception that “meteorologists are always wrong.” Just because one forecaster cries wolf doesn’t mean they all do.
  4. Many forecasters lack the experience or education to evaluate model data and forecast the weather. Anyone can make a forecast or post maps, but making an accurate, detailed forecast requires skill. Unfortunately, extreme scenarios – or at least the risk of an extreme scenario occurring – will often win out over the voice of reason. In other words, the source of the forecast (or even raw computer output) doesn’t matter.
  5. Forecasts – partly as a function of inexperience in those who forecast or share computer guidance – are becoming increasingly wishy-washy. There’s a “chance” of extreme weather this week. Snow of 0-10″ is “possible” later this week. A temperature of -5° is scary, but a wind chill of -25° is even scarier. That wind chill could become -30° tonight…check back for updates! It is possible it could get worse! And that potential keeps many hanging on.
  6. The potential for significant weather often surfaces 5-10 days out. That means you’ll be strung along with “updates” for 5-10 days on one or more significant weather events. The scenarios could range from good to bad to worse, and you’ll likely see the scenarios change every 12 hours. There’s a lot of whiplash in the model world, so why are you being taken along for the ride? More importantly, why do you want to be along for the ride?

I’ve had a long standing concern in meteorology: the specifics of the forecast usually don’t matter. Here are some 7 day forecasts from Los Angeles TV stations:


So…a high of 76° and 78° today, and a high of 73° or 74° tomorrow. What’s the real difference here? Does it matter where you get your forecast from the next five days here? It doesn’t. It makes absolute sense that you get it the forecast from the easiest accessible place because there’s no significant difference between these forecasts. Additionally, there’s no need to check back for updates because if tomorrow’s high goes to 75°, who cares?

If there’s no risk for inconveniencing or hazardous weather in the next 24 hours, it doesn’t really matter where you get a forecast from. There are few weather scenarios (i.e. a blizzard, tornado outbreak) where you need to know what the forecast looks like beyond 24 hours. If you check your phone at noon to see what temperatures look like this afternoon and evening and you don’t see anything inconveniencing, that’s about all you need to do weather-wise for the rest of the day. If the forecast temperature for 8pm changes from 45° to 43°, was getting that update worth your time?

The best comparison I can make to this logic is like that of a sandwich shop. Let’s say you’re meeting a coworker for lunch 5 days from now. In reality, you just want a sandwich to be made when you get there. I believe it’s highly likely that you just want a sandwich to be there when you’re ready to eat 5 days from now; you’re not concerned with supply chain logistics, whether there will be a manager present at the store, whether the heater in the building will be working, and whether their shipment of meat and veggies will arrive at 4pm or 5pm on Thursday. I suspect you won’t be calling the sandwich shop every day until you meet your friend for lunch just to make sure everything is on track to get your sandwich. If the sandwich shop had a social media account, I don’t think you’d fine them posting about when their shipment of meat arrived at the dock, when their employees clocked in, and what temperature the thermostat is set at; even if they posted about this, you likely wouldn’t care.

Just like the sandwich, you just want a forecast. You go to a source of information that suggests what is going to happen. I suspect you aren’t going to a webpage and comparing what 5 different computer models say about the timing of precipitation and what the temperature will be for each hour in the next 5 days. I suspect you don’t care what the NAM model trend for the last 5 days has been, or what the median accumulation amount is from the latest SREF model. You just want the sandwich.

When you go to the doctor, you just want to hear his or her diagnosis. When you go to a mechanic, you just want to hear what the recommended repairs are and the associated costs. When your manager at work asks you to turn in a report, you don’t staple a separate sheet with your mathematical calculations to the report.

So why do it with weather? If it’s not a inconveniencing in the next 24 hours, go out and live your life. Forecast accuracy increases dramatically within 24 hours of active weather, so you might as well save your interest for that window and not go “along for the ride” on a computer model wild goose chase for days.

Posted in Uncategorized | 2 Comments

The Things They Never Told Me: An Open Letter To Penn State And Campus Weather Service Students

To The Students Of Penn State University And The Campus Weather Service:

Odds are good you have no idea who I am, but I was once like you. I graduated from Penn State 11 years ago with a Bachelor of Science in Meteorology from Penn State. I was a member of the Campus Weather Service. I was both on camera and worked behind the scenes at Weather World. I learned a lot at Penn State just like you, and I really enjoyed my last two years there.


I worked in broadcast meteorology for 10 and 1/2 years. I worked in three different cities, and I’ve worked just about every shift there is. I interned every summer during college (once for the National Weather Service and twice at two different Cincinnati TV stations). Additionally, I had a path to a career with the National Weather Service, but the opportunity just wasn’t right for me. I’ve recently earned an MBA (Masters in Business Administration) from Xavier University and work into the business world now as an analyst.

I tell you these things not to brag or boast but to tell you some things I wish I would have known 10 years ago about meteorology and give you a frame of reference. No one sat me down and told me how the meteorology industry works or the good and bad within it. When you’re focused on differential equations, atmospheric dynamics, finding a job, and having a social life…it’s easy to not have a focus on your career or what the next 10 years look like. I’m here to offer some advice with that.

I’ve come up with 15 things you need to know about the future, and they are all important. What I say may not carry a lot of weight with you because you’ve never heard it or experienced it before; take a leap of faith that what I say is more right than it is wrong. Let’s talk.

  1. Your #1 goal in your life and career is to be happy and successful. Happy and successful. Happy and successful. Happy AND successful. It’s so important that it requires repeating. You should always be or be working to be happy and successful. If the job offer you got doesn’t make you happy and successful, don’t accept it. If your first job doesn’t make you happy and successful, move on as soon as possible. If any aspect of your life doesn’t make you happy and successful, it’s time to move on.
  2. Study who is advancing and succeeding in meteorology and figure out why that is. When I graduated from Penn State, the boss of my first job said he hired me because I was a Penn State graduate, and he thought it was a good school for meteorology. What got me my second job? Being a Boy Scouts of America Eagle Scout helped me stand out. What got me my third job? The fact that I interned with my supervisor, and he liked the quality of my presentations and interest in data. Fast forward a couple of years into my third job, and I found myself wanting to advance. I saw people in my industry with half of my experience getting higher-exposure, more senior, and better paying jobs…and I wasn’t moving. I thought that my experience and education would be helpful to advancing.

    Until I started an MBA, I didn’t really get business. When you graduate from Penn State with a meteorology degree, you don’t know much if anything about business, and this is unfortunate. Thankfully, I can give you some insight. Successful companies create value for their customers. They do so by having a competitive advantage, and hopefully it’s a sustainable competitive advantage (one that other companies can’t replicate). Companies also care about profit, which is revenue (income) minus costs. How do companies make more profit? They either increase their revenue or decrease their costs. This helps retain their shareholders, stakeholders, and investors (people that own stock or a share of the company and expect a return on their investment).

    So let’s jump back to meteorology and the companies that depend on meteorologists. Take your pick on which vertical you want. Government, public, or private sector? It doesn’t matter. Now assume you’re the boss at one of these companies. Your investors want you to make more profit every year. You can only increase your revenue so much; your budget is only so big. You can cut costs, and you may even be incentivized by your company to cut costs. How can I cut costs? Salaries take up a big part of the budget, so maybe you look there. Experienced employees cost more, and less experienced employees cost less. Is it worth getting people with less experience? Some bosses will say yes, and others will say no. What kinds of people are willing to work for less? Really think about this question, then go back to the original question: why are the people who are advancing actually advancing? What about them gives them a leg up? Then look at yourself against this crowd. Can you have their same success? Can you get the education or knowledge they have…or is it something you can’t change? I remember getting advanced to a second round of a National Weather Service job years ago. I called the meteorologist-in-charge of the office, and he told me I wasn’t likely to get the job because he had two military veterans in the list of candidates. Could I realistically be a military veteran? I couldn’t…at least not easily. Perhaps there were other candidates who – after interviews – were willing to take a lower salary, and I wouldn’t have gotten the job (all veteran qualifications aside). The moral of the story here is that some people advance and get jobs for the right reasons, and some people get jobs for the wrong reasons. Sometimes you won’t get the job even if you’re the most qualified candidate.

  3. METEO 473 is the most important class you’ll take at Penn State. Remember that course you took on processing weather data and transforming it into an analysis? That’s the most important class you take at Penn State. Pick any large company that doesn’t employ meteorologists. If you’re struggling, think of Google, Macy’s, Apple, or Microsoft. These companies spend MILLIONS if not BILLIONS of dollars each year in research and development on products and services. You know what they use to make decisions? Data. Now go back to meteorology and rope in the comments I made about sustainable competitive advantage above. What are YOU going to do to stand out? Present the temperature map with a brighter and bubblier personally than anyone else? Please. Present the same information that everyone else has access to from a vendor? Please. You’re going to stand out because of what you can do with data. You could present the mold and pollen count, but can you automate a process to ingest that data into a computer so you can save time and avoid the potential for typos? Can you predict what tomorrow’s pollen and mold count will be. You can do a statistical analysis on it. Use a linear regression, and you’ll be surprised how easy it is. To stand out, you have to know where to find data that few can find, know how to process it and automate processes, and predict what others can’t. If you don’t know how to get the data you want, figure it out, and don’t give up!
  4. Stop looking like everybody else and be different. One of the worst parts about meteorology today is that everybody looks the same. Here’s your forecast, right?
    I would guess the phrases “good morning”, “those/these temperatures”, “just a few showers”, “weekend is always in view”, and other cliche phrases are peppered throughout the presentation. BORING. When you’re learning to present the weather, you shouldn’t be emulating other meteorologists and just learning to do what they do. You should be learning to talk about the weather in your own words with confidence. What are YOU going to present that isn’t just the same thing as everyone else in town? What’s your trademark? As I stated above, data and analysis is your best and easiest way to stand out.
  5. Minimize your “greenness”. I get it. You’re in college and soon to be entering the workforce. You’re excited. You want to leave out the dream of being a meteorologist. You’ve followed the weather since you were a kid. You’re wanting to hit the ground running, and you’ve got ideas. But don’t be a sucker. Of course your boss wants you to work all of the time and give 150%, especially if it’s not costing your boss a dime. As you get older and especially as you have more commitments (a significant other, a family, a child, etc.), you’ll see the importance of a work-life balance. You don’t want to spend your life at work. Talk to your parents or older mentors about limiting their time at work before you start working. Meteorology is already a industry that essentially requires you to look at the weather when you’re not working. 40 hours a week of meteorology is plenty, especially if part of it is spent in the cold, heat, or elements.
  6. When you graduate, you don’t have to go into meteorology. No one actually tells you this, but you don’t have to take a job in meteorology. You can do whatever you want for a career. A meteorology degree gives you many important life and career skills, including – but not limited to – critical thinking, problem solving, ability to use technology, and programming. Those are the skills you need to get just about any good job. You can market those skills and get into a lot of industries.
  7. The hours of meteorology suck and will have an impact on your life. You may have heard people complain about how “boring” 9am to 5pm Monday through Friday jobs are; I suspect those people have never worked the shifts that a meteorologist does. National Weather Service meteorologists that aren’t in management work different shifts; in other words, you may work overnights one day, evenings for another shift, midday for another shift, and then mornings through early afternoons for another shift. If you work in television and do weekday mornings, you’re likely up at 1-2am five days a week. If you’re working evenings in television, you’re in at 2pm and out just before midnight. If you’re working weekends in TV, your schedule is all over the place; in fact, many weekend meteorologists in TV work all of the morning and evening shifts. As a college student, it is highly likely that you have never had a job that required you to work crazy hours, so you don’t know the impacts it will have. The idea of working the weekday morning shift looks easy, but it will wear on you. Doing double shifts or early morning shifts isn’t too taxing on your body if you only do it a couple of days or even a week. After about two weeks, you’ll be tired. After a month, you’ll be exhausted. After 5 years of doing it (like I did), you’ll likely have health effects. You can cope with coffee and naps, but these are coping mechanisms. Coffee plus an unsettled mind due to getting up in the middle of the night don’t mix well. Your lack of sleep day after day becomes a compound issue; being tired one day makes you more tired the next, and after months and years of doing this, your mental and physical health easily slide. Now layer on the other pieces of life. You’re taking your personal time to nap. You’re tired, so will you make it to the gym? Now say you’re married with kids; you’re going to tell your your significant other and kids you have to go to bed at 5pm or work holidays and weekends? They won’t fully understand your shift or what it’s doing to you, and yet you’re still expected to be there and alert for your family.
  8. Advancing in meteorology often requires moving. This may not be a problem for you, but suppose you take a job then can’t advance. You may have signed a contract with a no-compete clause, so you can’t just work across the street. That means you’ll have to move. Then say you want to work a better schedule in a couple of years. Can you just advance to the new schedule you want because you are the best forecaster statistically? It doesn’t work like that. You’ll have to move. Then suppose your new employer is grooming you for a better job, but then you realize it requires going to a new town. At some point, you’re going to have to ask yourself: is it worth all of this moving? Moving often means finding new friends and moving your family along with you.
  9. Meteorology is a better hobby than it is a career. Meteorology is a public facing job. You get to tell everyone the weather. That means everyone, including the worst of the worst and the best of the best. When you forecast 2-4″ of snow, there will be trolls ready to say they got 4.1″ and “it must be nice to be wrong 70% of the time and keep your job.” Also, forecasting the weather is like drinking from a fire hose. There’s an endless supply of models to review, and you have to make decisions that impact people’s lives. It’s a lot to take on, and there will always be grief. Some people are mean; if you’re in the public eye, some will make fun of your looks, some will insult your knowledge, and some will even attack your race, weight, or gender. You can look at models all you want working out of the weather industry and without the attacks. Plus, how long do you want to spend your mornings, nights, weekends, and holidays away from your family? How long do you want to work in the cold, snow, heat, and other weather elements? Regardless of where you work, you have to think about how your job will impact the quality of your life.
  10. Be careful from whom you take advice. If your mentor is young and inexperienced, they likely haven’t been in meteorology long. You want to talk to mentors to have been in their business for many, many years. They have seen a few things. They’ve worked the shifts, they’ve seen people fired on the spot, and they’ve seen the industry trends play out. People that have been in the business a long time get “the long game.” Also, be careful getting your advice from senior or chief meteorologists that have been in their position for a long time. A chief meteorologist that has been in his or her spot for a long time likely hasn’t worked the more physically demanding early morning or “doubles on the weekend” shifts…or at least remember working them…or did the shift before the layers of mutli-platform demands.
  11. You’ll probably have to get a masters degree down the road. This is not what you want to hear with building student debt, but you’ll probably have to get another degree in the future. I don’t know of a company with meteorologists that will pay for you to get a masters degree, so you’ll likely have to pay for this degree out of pocket. Why do I say you’ll need a masters degree? Because if you want pivot to another career, you’ll likely need to prove to your future employer that you’re qualified and “not a meteorologist.” The National Weather Service also wants the best candidates, and your education matters and increases your odds of getting hired. Budget accordingly, and pace yourself.
  12. Research your employers extensively. Before you sign on the dotted line for a job, you should research your employer. What kind of company are they? What’s the culture there?  What are employees saying about the company? Have they recently gotten in trouble or hot water? Are they ethical? Are they fair? Do they treat their employees well? Do your research so you work for the right employer. Know that your employer may also be acquired or merge with another company. As news of that breaks, research the acquiring company. If they aren’t a good fit, it’s time to move on.
  13. Your looks may matter. It’s not right, it’s not okay, but it’s reality. If you’re in a public-facing role, your “beauty” comes into play. I’m not here to judge you, but some will. You’re far more likely to be judged based on your looks than forecast accuracy.
  14. Your opportunity cost may be better outside of meteorology. Opportunity cost is the loss of potential gain from other alternatives when one alternative is chosen. Suppose you go into meteorology. What’s the average salary of a meteorologist in their first job? I remember getting an offer to work as a broadcast meteorologist in the Midwest for $18,500 a year. As a college student, that may seem like a lot, but that’s not a lot of money. The poverty line for a single person is $12,140. I didn’t take that offer, but know that it takes a while to make a great salary in meteorology.Now consider a career in business or another field. What’s the average salary for a business person in their first job? It’s likely higher than a career in meteorology. Either way, you have to research. It’s not all about money either; which path gives you want you want in life faster?
  15. Your dream changes, not ends. Being a meteorologist is a dream, but the odds that you change careers in your life is high. You need to be prepared for change. People lose their jobs or get fired. What are you going to do if that happens? You likely have rent and loans to pay. How are you going to pay your debts? You’ll want job security once you have a job, especially if you have a family. Do you get your forecast on your smartphone or TV? If not, how many of your friends do? This should tell you about trends in meteorology, where people are getting their forecast, and how much people care about the quality of forecasts. Don’t ride out the storm until it ends; make moves before the storm hits.

I hope you find what I say relevant and beyond what others have told you. I encourage you to think a lot about your career choices, who you want to work for, who you don’t want to work for, and what will – above all else – make you happy and successful.


Scott Dimmich

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