Getting to know our meteorologist Matthew Moll

September 16, 2025

Matthew Moll, founder of New England Weather Consulting, hails from southern New England, and his fascination with the region’s distinct weather patterns inspired him to transform his passion into a lifelong career.

Pursuing this calling, he pursued advanced education at Mississippi State University, earning a master of science in applied meteorology. This academic journey instilled in him a profound understanding of how to tailor operational forecasts effectively to the private and municipal sector’s unique needs.

Before establishing his own private weather consulting firm, Moll honed his expertise through roles at respected organizations, including the American Meteorological Society (AMS), the nation’s leading institution dedicated to advancing and disseminating knowledge in atmospheric, oceanic, and hydrologic sciences.

Moll’s skill set extends to effective communication, shaped during his long tenure in the educational sector, where he taught science at both middle and high school levels. He also holds the distinction of being both an FAA Certificated Flight Instructor and FAA Part 121 Aircraft Dispatcher, with extensive knowledge in aviation meteorology. This multifaceted background equips Moll to provide accurate, easy-to-understand, and timely weather information tailored to the needs of both private enterprises and municipal clients.

He has provided YourArlington with town-specific weather forecasts that cover Arlington’s three zones. He answered our questions (some of them your questions) for us, which are provided below.

Often, the weather forecast “for Arlington” is really for other areas like Hanscom Field, Malden, or Dedham, places far from and not experiencing the same weather as this community. Can you explain some of what you provide?  

Many outlets rely on airport data or regional stations, which do not always reflect Arlington’s microclimates. Forecasts tied to Hanscom Field or Logan Airport often miss the subtle but important differences across town.

My forecasts break Arlington into three zones: East Arlington, Arlington Center, and Arlington Heights. This allows residents to see how temperature, wind, and precipitation may vary depending on where they live.

The airport and regional stations are a great starting point, but more hyperlocal data is needed to fine-tune a forecast. I make use of personal weather station networks within Arlington, neighborhood-level observations, spotter reports, and radar trends to better capture what is happening on the ground. For example, during a winter storm, a station in Arlington Heights might show snow while East Arlington is reporting rain. That kind of ground truth can help me adjust the forecast in real time and communicate what residents can expect in their own part of town.

These local inputs bridge the gap between broad regional data and the very specific conditions Arlington residents actually experience. In many cases the differences are minor, but at times they can be dramatic, such as several inches of snow difference across neighborhoods or stronger wind gusts in the Heights while other parts of town remain calmer. By layering hyperlocal observations onto regional data, I can provide a forecast that feels tailored to Arlington rather than a generic outlook.

Are there really three separate zones for Arlington weather? 

Yes, the zones are distinct. East Arlington sits close to the Cambridge line and Alewife Brook, and is closer to sea level. It tends to be slightly warmer and less windy because of its lower elevation and its proximity to the urban heat of Cambridge and Boston. Arlington Center is higher, generally around 50 to 100 feet above sea level, and often experiences conditions that fall in between. Arlington Heights rises much higher, with spots near Robbins Farm Park and Skyline Drive reaching 300 to 350 feet above sea level. The Heights often runs cooler and is more exposed to gusty winds because of its elevation and topography.

From a meteorological standpoint, elevation differences influence how quickly air cools, how precipitation transitions between rain and snow, how fog forms and lingers, and how much friction slows down wind speeds. Most of the time the differences across town are small, but during certain events such as a rain-to-snow changeover in winter or a strong nor’easter, the Heights can pick up several more inches of snow than East Arlington or experience noticeably stronger wind gusts. Fog can also behave differently, sometimes settling more thickly in the lower-lying areas of East Arlington while clearing more quickly in the Heights.

The town of Orange is known for colder temperatures because of its location and Hopkinton gets more snow than its neighbors. Does Arlington have anything that makes this community more likely to experience any weather-related events?

Arlington may not have the same notoriety as some other towns in Massachusetts for extreme weather swings, but it does have unique features. The elevation gradient across town can shift snowfall totals by several inches in a single storm. Higher spots in Arlington Heights often see colder surface temperatures that allow snow to accumulate more easily, while lower areas may mix with rain or accumulate more slowly.

Elevation also affects wind exposure: higher points tend to catch stronger gusts, while valleys or lower-lying neighborhoods feel somewhat sheltered. Even in spring and fall, elevated areas can cool off faster at night, leading to localized frost while other parts of town stay a bit warmer. I encourage people to start noticing these differences. Once you do, you will be surprised at how much impact a small change in elevation or distance can have on the weather you experience right in the same town, sometimes a few streets over, depending on where you are.

It seems to be windier in Arlington than in previous years. That might be more anecdotal than scientific. Have you noticed any significant changes to Arlington’s (or the region’s) weather?

It has seemed windier, and winters have indeed featured some stronger wind events. At the same time, long-term data, such as climatological data from the Blue Hills Observatory, which is the oldest continuously operating climate observatory in the United States, shows that average wind speeds have actually declined over the decades.

The reasons for this are not fully understood. It may be connected to increased forestation in New England, which creates more friction and slows wind near the surface. It could also reflect improvements in measurement techniques over time. Climate change is another possible factor, altering storm tracks and jet stream behavior. What we do know is that extreme rainfall events are becoming more common, and the swings between unusually warm and unusually cold days are growing sharper, both of which are consistent with broader climate changes across the region.

How confident should readers be of forecasts and how many days out can you confidently “predict” the weather? 

Day-to-day forecasts are highly reliable out to about three days. Confidence gradually decreases beyond that, and by seven days, forecasts are more about identifying trends than specifics. The main reason for this decline in accuracy comes down to chaos theory. The atmosphere is a chaotic system, and even small uncertainties in the initial conditions grow quickly over time. By the end of a week, those uncertainties multiply enough that the exact outcome cannot be pinned down.

When I put together a seven-day forecast for Arlington, I treat the first three days as highly detailed and location-specific, with temperature, wind, and precipitation broken down by neighborhood. Beyond day three, I focus more on trends, such as whether we are heading into a warmer or cooler stretch, whether storminess looks likely, or if a dry pattern is setting up. To do this, I rely heavily on ensembles, which are collections of many model runs that start with slightly different initial conditions. Each run represents a possible version of the future atmosphere, and together they give a range of potential outcomes. If all the runs cluster around a similar solution, confidence is higher. If they diverge, it signals greater uncertainty. By day seven, the goal is not to provide an exact high temperature or storm track, but to give the community a realistic sense of what to prepare for.

What should people know about predicting vs. forecasting?

Prediction suggests absolute certainty, while forecasting reflects probabilities and confidence levels. A forecast blends hard data from observations, computer models, and satellite or radar imagery with my experience and judgment. For example, models might show several possible storm tracks, but I would weigh which scenario is most consistent with local patterns, historical trends, and real-time observations.

A rain–snow line might set up so that Arlington Heights picks up several inches of snow while East Arlington stays mostly rain. Forecasting in that situation is about translating probabilities into meaningful information, such as “expect messy travel in the Heights, while the Center and East may deal more with slush and rain.”

Weather outcomes are never 100 percent certain, and being upfront about confidence levels helps people understand what to expect in their own neighborhood.

There have been a few commercials on TV recently about how some weather reports, even government-issued ones, are done solely by computer. Can we trust government weather information?

I cannot really speak to the specific promo you mentioned since I did not see it. What I can say is that meteorologists and the public still very much rely on government forecasts from the National Weather Service (NWS). They are the essential backbone of the weather enterprise, which is the collaborative network of government agencies, private sector meteorologists, researchers, and broadcasters who work together to provide weather information.

The NWS provides high-quality data, model guidance, and life-saving alerts that are absolutely vital for everyone in the field, from local TV stations to independent forecasters like me. The Boston/Norton NWS office in particular does an outstanding job serving Arlington and all of Middlesex County, issuing detailed briefings, timely watches and warnings, and updates that keep communities safe. Human interpretation remains central, because meteorologists help communicate uncertainty, put forecasts in context, and highlight what matters most to the people affected.

An icon on a phone can never fully capture the intricacies of a complex event, like when Arlington goes from heavy snow to rain and then back to a flash freeze in a matter of hours. Those situations require explanation and nuance that only a human forecaster can provide.

What’s the craziest weather you’ve ever experienced?

I have experienced, everything from blizzards to hurricanes, but one of the most memorable events for me personally was Hurricane Gloria in 1985. I was young at the time, but it left a huge impression. The powerful winds, downed trees, and widespread damage showed just how disruptive a single storm could be to daily life in New England. I also remember hearing Dick Albert on WCVB talk about the eye of Gloria. To me, as a young kid, it sounded like some sort of monster, and I was hooked. That experience was one of the early sparks for my lifelong interest in weather.


This question and answer piece was published on Sept. 16, 2025.

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