I’m sure that most people who
avidly keep watch on the upcoming weather forecasts have noticed that the
information given can sometimes be a little off. The truth is, weather is
extremely hard to predict, as the science of it hasn’t gotten down into an
equation that yields several different weather coefficients. We know what is
going to affect what, but only to an extent do we know why it is doing so. However,
the extent to which we do know is extremely far, yielding intricate ways of
producing accurate weather forecasts. Not only in forecasting, but live weather
is also sometimes a little skewed from what it should really say. One would
think that NOAA has enough mini observatories around to produce an accurate depiction
of the weather, but from the research and observing I did for this project the
live government forecast is only correct (within 2uu’s which considers a
forecast to be “accurate”) about 70% of the time. So, that means that if you
were to look at a live weather forecast for your local area, there is a 70%
chance it is accurate, according to my relatively non-extensive observations.
This however does not mean that there is a 70% chance of the weather being
accurate for the specific spot one is in. The process of gathering weather data
doesn’t only require sticking an anemometer in the air on your back porch, or
looking out the window to check the thermometer. One collecting weather data
has to go into several different environments to get several pieces of data to
average them together. These environments include fields, high and low
topography, woods and over bare rock due to the usual humidity rising off of
the grass. In addition, the observer has to be a certain distance away from any
rivers, lakes, or oceans when gathering data. This part makes it tricky for
coastal communities such as a place like Plum Island. The closest thing one can
do to get an accurate depiction of the weather there is to look at the Newbury regional
forecast and just assume that it is going to be a little colder and a little
windier.
My house was far enough from the
river to get an accurate reading for most of the observations I made, but like I
stated earlier several different spots in West Newbury had to be tested. I
stuck to three general locations around the area to gather the data from, and I
did this 10 times over the past few weeks. The first spot was my house. My
houses observations seemed to be pretty consistent with the forecast provided
by NOAA excluding the wind speeds. This is easily explainable however. The wind
around here usually blows from the south and due south from my house sits a
massive hill which on the other side is long hill orchard. This means that the
wind direction and speed is usually distorted around my house due to the
swirling, redirecting and speed loss in the wind caused by the hill. Otherwise,
the humidity, temperature and sky cover were exceptionally accurate.
The next location where I collected
data was in the Emery’s properties. These are located on the east side of town,
and are generally used for conservation and a retreat place for those who
worship Saint John the Evangelist. Here is a field, woods, rock and elevation
change so it made a great place for me to collect data. This place was accurate
in terms of everything. Similar to my house there was a little change in the
wind but is again easily explainable. Even though it would be considered to be
far enough from the river to gather data from, it is located in the curve of a
riverbend, and the wind generally moves in one specific direction according to
the whole valley that creates the river. Otherwise, just like the data I got
from my house, was basically spot on.
The final location I took
observations from was from a field connecting Groveland and West Newbury. This was
located off of Crane Neck. Here, the wind was always spot on. Every single time
I went there with the exception of one, the wind was within 1uu of being
totally accurate. The humidity was similar to that of the predictions, but it
was correct 7 out of the 10 times. The temperature was in basically spot on. 9
out of 10.
This project was more helpful to me
than any I had ever done. I chose to do it because the enhancement of field data
in the weather industry is something that I want to get into. More modules
collecting data to produce more accurate forecasts. Not only will this help
with everyday weather, but I feel as if the sports and activities that depend
on weather will benefit from it aswell, and action sport forecasting companies
will want to pay big money to get the data that these collect. Anyways, this
project helped give me a good look on some future plans of mine, and somewhat
served as a fun activity for me to follow along with over the stressful past
weeks as school was beginning to end. I am excited and ready to use the skills I
have found through this semester’s reading in my present and future life!