The size of the territories depends on the Alexa ranking (popularity), and the colors are according to the graphic charter of the sites. It is very rich and we could observe it for hours because there are so many things on it.
Meteorologists are better at their jobs than you might think.
Here's how heaps of data are turned into a forecast relevant to you.
Those two simple words can ruin picnic plans or herald rescue for drought-stricken crops.
Few things in our lives are as universal as the weather.
“It’s what’s going on in the atmosphere all around us all the time,” says Russ Schumacher, Colorado State climatologist and director of the Colorado Climate Center.
“Storms and all the other interesting things that Earth’s atmosphere brings us have this big effect on our daily lives in a lot of ways.” But even though we tune in to local news stations or check apps to find out what the weather will bring, we don’t always trust the forecasts.
You’ve probably heard the joke: Meteorology is the only occupation where you can be wrong all the time and still get paid for it.
In reality, weather forecasts have improved in leaps and bounds in just the past few decades.
And meteorologists in pursuit of an ever-more-perfect forecast continue to push what’s possible toward its theoretical limit.
Making the Weather
Before we can predict the weather, we have to understand where it comes from.
To do that, we must look to the sky.
Earth is enveloped in an atmosphere of mostly nitrogen, oxygen and water vapor.
This air, like liquid water, behaves as a fluid.
As air flows from one place to another, it carries its properties with it, changing the temperature, humidity and more.
Weather is simply the byproduct of our atmosphere moving heat from one place to another.
Cooler air is dense and can’t hold much moisture; warmer air is less dense and can hold more water.
When regions of air with different temperatures and densities meet, the boundary is called a front.
Sometimes these cloudy clashes can cause rain, as the cooling warm air is forced to drop its water.
It’s not just fronts that can make it rain; convection can also drive precipitation.
As warm, moist air rises, it also cools, and its water condenses onto airborne particles such as dust.
These droplets are carried aloft by rising air, growing larger and larger until they become too heavy and fall back to Earth.
When that happens, grab your umbrella.
Once a storm has formed, if there’s nowhere for it to get more moisture from the ground or the air, it will peter out as it lumbers along.
If it finds more warm air and moisture — like a hurricane does as it moves across the ocean — it will grow and grow.
With so many factors involved, it may seem impossible to predict what weather is on the horizon.
But that’s far from the case.
“Weather forecasting is one of only a few fields where we can accurately forecast the evolution of a system.
We cannot do that in economics or sports,” says Falko Judt, a research meteorologist at the National Center for Atmospheric Research in Boulder, Colorado.
Doing so depends on reliable observations.
Scientific weather observations began in the Renaissance, when barometers and thermometers were invented.
European scientists of old, like Galileo, used these instruments to take the types of measurements that would one day explain weather events.
By the late 1800s, rudimentary weather maps had come into common use.
But early forecasts were limited and relied on persistence, or the assumption that a system’s past would dictate its future behavior.
“If a storm system is in Kansas one day and Missouri the next, then by persistence you can say it’ll be in Illinois the next day,” explains Bob Henson, a meteorologist who writes for Weather Underground.
Persistence is an OK way to predict the weather when conditions are constant — when a storm trundles along without breaking up or the local climate changes little day to day, say, in Southern California.
But this simple technique doesn’t account for changing conditions, such as storms that form quickly through convection (typical for thunderstorms) or moving fronts that change the temperature.
Luckily, we have newer, better ways to predict the future.
Today’s weather forecasts aren’t made by people looking at weather maps and yesterday’s highs and lows — they’re made by machines.
Meteorologists use a process called numerical weather prediction to create forecasts by inputting current conditions — which they call the “nowcast” — into computer models.
The more current and accurate information available to these models, the better the forecast will be.
Ground radar, weather balloons, aircraft, satellites, ocean buoys and more can provide three-dimensional observations that a model can use.
This allows meteorologists to simulate what the atmosphere is currently doing and predict what will happen in the next few days or, for some models, hours.
Weather models divide a region, say a single state or even the whole globe, into a set of boxes, or cells.
The size of these cells — the resolution of the model — affects its forecasting accuracy.
Large boxes mean poor resolution, or the inability to tell what’s happening over small areas, but a broad picture of large-scale weather trends over long timelines.
This big-picture forecast is helpful when you want to know how a big storm will move across the U.S.
over the course of a week.
Smaller boxes mean higher resolution, which can forecast smaller storms.
These models are more expensive in terms of computing power, and only run to the one- or two-day mark to tell people whether it might storm in their local area.
Although all models are based on the same physics, each translates those physics into computer code differently, says Judt.
Some models might prioritize certain kinds of data — such as wind speed, temperature and humidity — over others to generate predictions, or simulate physical processes slightly differently than another model.
That’s why two models might spit out slightly different results, even with exactly the same starting observations.
From Forbes by David Hambling
Nice job, @NHC_Atlantic! 👏👏👏— The Weather Channel (@weatherchannel) July 7, 2021
This post is for the weather geeks who know how much goes into forecasting a hurricane and how tough it is to predict behavior this many days out. #Elsa pic.twitter.com/HCdBx0wbbd
From The Guardian by Dalya Alberge
Last September, the Copernicus Marine Service launched its MyOcean viewer, a tool for visualising ocean data.
Today marks the launch of an updated version with added features.
But that’s not all.
We are also pleased to present two new ocean data viewers:
MyOcean Light – designed for businesses, the media and the general public, and
MyOcean Learn – an educational tool developed with students in mind
From information about temperature and acidity to waves and currents, MyOcean puts ocean data, charts and time series at your fingertips.
It broadens access to Copernicus Marine data and supports society to understand and adapt to our changing environment.
The original version of the tool – MyOcean Pro – is incredibly powerful and provides a wealth of information that is invaluable for scientists.
But for broader society looking to discover and explore ocean data – for example members of the public seeking a warm place to swim, or shipping companies looking for an ice-free route through Arctic waters– we wanted to create something more straightforward.