- For the stellar phenomena, see: Meteor
Meteorology (from Greek: μετέωρον, meteoron, "high in the sky"; and λόγος, logos, "knowledge") is the
interdisciplinary scientific study of the atmosphere that focuses on weather processes and forecasting.
Meteorological phenomena are observable weather events which illuminate
and are explained by the science of meteorology. Those events are bound by the variables that exist in Earth's atmosphere. They are temperature, pressure, water vapor, and the gradients and interactions of each
variable, and how they change in time. The majority of Earth's observed weather is located in the troposphere. [1] [2]
Meteorology, climatology, atmospheric physics,
and atmospheric chemistry are sub-disciplines of the atmospheric sciences. Meteorology and hydrology compose the
interdisciplinary field of hydrometeorology.
Interactions between Earth's atmosphere and the oceans are part of coupled
ocean-atmosphere studies. Meteorology has application in many diverse fields such as the military, energy production, farming,
shipping and construction.
Meteorology subclassifications
In the study of the atmosphere, meteorology can be academically subdivided depending on the temporal scope and spatial scope
of interest. In one extreme, meteorology seems to be left behind and becomes climatology. In
the timescales of hours to days, meteorology separates into micro-, meso-, and synoptic scale meteorology. Respectively, the
geospatial size of each of these three scales relates directly with the appropriate
timescale.
Other subclassifications are available due to the need by humans, or by the unique, local or broad effects that are studied
within that sub-class.
Boundary layer meteorology
Boundary layer meteorology is the study of processes in the air layer directly above Earth's surface, known as
the atmospheric boundary layer (ABL) or peplosphere. The effects of the surface
– heating, cooling, and friction – cause turbulent mixing
within the air layer. Significant fluxes of heat,
matter, or momentum on time scales of less than a day are
advected by turbulent motions.[3] Boundary layer
meteorology includes the study of all types of surface-atmosphere boundary, including ocean, lake, urban land and non-urban
land.
Mesoscale meteorology
Mesoscale meteorology is the study of atmospheric phenomena that has horizontal
scales ranging from microscale limits to synoptic scale limits and a vertical scale that starts at the Earth's surface and
includes the atmospheric boundary layer, troposphere, tropopause, and the lower section of the stratosphere. Mesoscale timescales last from less than a day to the lifetime of the event, which in some
cases can be weeks. The events typically of interest are thunderstorms, squall lines, fronts, precipitation bands in tropical and
extratropical cyclones, and topographically generated weather systems such as mountain waves and sea and land breezes.[4]
NOAA: Synoptic scale weather analysis.
Synoptic scale meteorology
Synoptic scale is generally large area dynamics referred to in horizontal
coordinates and with respect to time. The phenomena typically described by synoptic
meteorology include events like extratropical cyclones, baroclinic troughs and ridges, frontal zones, and to some extent jets. All of these are typically given on weather maps for a specific time. The minimum horizontal scale of synoptic phenomena are limited to the
spacing between surface observation stations. [5]
Annual mean sea surface temperatures.
Global scale meteorology
The study of weather patterns in this area includes the transport of heat from the tropics to the poles. Also, very large
scale oscillations are of extreme importance. Those oscillations have time periods typically longer than a full annual seasonal
cycle, such as ENSO, PDO, MJO, etc. Global scale pushes the thresholds of the perception of meteorology into
climatology. The traditional definition of climate is pushed in to larger timescales with the further understanding of how the
global oscillations cause both climate and weather disturbances in the synoptic and mesoscale timescales.
Numerical Weather Prediction is a main focus in understanding air-sea interaction, tropical meteorology, atmospheric
predictability, and tropospheric/stratospheric processes.[6]. Currently (2007) Naval Research Laboratory in Monterey produces the atmospheric model called
NOGAPS, a global scale atmospheric model, this model is run operationaly at Fleet Numerical Meteorology and Oceanography
Center. There are several other globa atmospheric models.
Dynamic meteorology
Dynamic meteorology generally focuses on the physics of the atmosphere. The idea of
air parcel is used to define the smallest element of the atmosphere, while ignoring the
discrete molecular and chemical nature of the atmosphere. An air parcel is defined as a point in the fluid continuum of the
atmosphere. The fundamental laws of fluid dynamics, thermodynamics, and motion are used to study the atmosphere. The physical
quantities that characterize the state of the atmosphere are temperature, density, pressure, etc. These variables have unique
values in the continuum.[7]
Aviation meteorology
Aviation meteorology deals with the impact of weather on air traffic management. It is important for air crews to
understand the implications of weather on their flight plan as well as their aircraft, as noted by the Aeronautical Information Manual[8]:
The effects of ice on aircraft are cumulative-thrust is reduced, drag increases, lift lessens, and weight increases. The
results are an increase in stall speed and a deterioration of aircraft performance. In extreme cases, 2 to 3 inches of ice can
form on the leading edge of the airfoil in less than 5 minutes. It takes but 1/2 inch of ice to reduce the lifting power of some
aircraft by 50 percent and increases the frictional drag by an equal percentage.[9]
Agricultural meteorology
Meteorologists, soil scientists, agricultural hydrologists, and agronomists are persons concerned with studying the effects of
weather and climate on plant distribution, crop yield, water-use efficiency, phenology of plant and animal development, and the
energy balance of managed and natural ecosystems. Conversely, they are interested in the role of vegetation on climate and
weather.[10]
Hydrometeorology
Hydrometeorology is the branch of meteorology that deals with the hydrologic cycle, the water budget, and the rainfall statistics of storms.[11] A
hydrometeorologist prepares and issues forecasts of accumulating (quantitative) precipitation, heavy rain, heavy snow, and
highlights areas with the potential for flash flooding. Typically the range of knowledge that is required overlaps with
climatology, mesoscale and synoptic meteorology, and other geosciences.[12]
History of meteorology
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Observation networks and weather forecasting
The arrival of the electrical telegraph in 1837 afforded, for the first time, a
practical method for quickly gathering information on surface weather conditions from over a wide area. This data could be used
to produce maps of the state of the atmosphere for a region near the Earth's surface and to study how these states evolved
through time. To make frequent weather forecasts based on these data required a reliable network of observations, but it was not
until 1849 that the Smithsonian Institute began to establish an observation
network across the United States under the leadership of Joseph Henry [13]. Similar observation networks were established in Europe at this time. In
1854, the United Kingdom government appointed Robert FitzRoy to the new office of
Meteorological Statist to the Board of Trade with the role of gathering weather observations at sea. FitzRoy's office
became the United Kingdom Meteorological Office in 1854, the first national meteorological service
in the world. The first daily weather forecasts made by FitzRoy's Office were published in The
Times newspaper in 1860. The following year a system was introduced of hoisting storm warning cones at principal ports
when a gale was expected.
Over the next 50 years many countries established national meteorological services: Finnish Meteorological Central Office
(1881) was formed from part of Magnetic Observatory of Helsinki University; India Meteorological Department (1889) established following tropical cyclone and
monsoon related famines in the previous decades; United States
Weather Bureau (1890) was established under the Department of Agriculture; Australian Bureau of Meteorology (1905) established by a Meteorology Act to unify
existing state meteorological services.
The Coriolis effect
Understanding the kinematics of how exactly the rotation of the Earth affects airflow was partial at first. Late in the 19th
century the full extent of the large scale interaction of pressure gradient
force and deflecting force that in the end causes air masses to move along
isobars was understood. Early in the 20th century this deflecting force was named the
Coriolis effect after Gaspard-Gustave
Coriolis, who had published in 1835 on the energy yield of machines with rotating parts, such as waterwheels. In
1856, William Ferrel proposed the existence of a
circulation cell in the mid-latitudes with air being deflected by the Coriolis
force to create the prevailing westerly winds.
Numerical weather prediction
A meteorologist at the console of the IBM 7090 in the Joint Numerical Weather Prediction Unit. c. 1965
In 1904 the Norwegian scientist Vilhelm Bjerknes first
postulated that prognostication of the weather is possible from calculations based upon natural
laws.
Early in the 20th century, advances in the understanding of atmospheric physics led to
the foundation of modern numerical weather prediction. In 1922, Lewis Fry Richardson published `Weather prediction by numerical
process` which described how small terms in the fluid dynamics equations governing atmospheric flow could be neglected to allow
numerical solutions to be found. However, the sheer number of calculations required was too large to be completed before the
advent of computers.
At this time in Norway a group of meteorologists led by Vilhelm Bjerknes developed
the model that explains the generation, intensification and ultimate decay (the life cycle) of mid-latitude cyclones, introducing the idea of fronts, that is, sharply defined boundaries between air
masses. The group included Carl-Gustaf Rossby (who was the first to explain
the large scale atmospheric flow in terms of fluid dynamics), Tor Bergeron (who first determined the mechanism by which rain forms) and Jacob Bjerknes.
Starting in the 1950s, numerical experiments with computers became feasible. The first
weather forecasts derived this way used barotropic (that means, single-vertical-level) models, and could successfully predict the large-scale
movement of midlatitude Rossby waves, that is, the pattern of atmospheric lows and highs.
In the 1960s, the chaotic nature of the atmosphere was first
observed and understood by Edward Lorenz, founding the field of chaos theory. These advances have led to the current use of ensemble
forecasting in most major forecasting centers, to take into account uncertainty arising due to the chaotic nature of the
atmosphere.
Meteorological equipment
Generally speaking, each science has its own unique sets of laboratory equipment. However, Meteorology is a
science short on "lab" equipment and long or wide on field-mode observation equipment, see List of weather instruments. In some aspects this may appear to be nice, but in reality
can make simple observations slide on the erroneous side.
In science, an observation, or observable, is an abstract idea that can be measured and data can be taken. In the
atmosphere, there are many things or qualities of the atmosphere that can be measured. Rain, which can be observed, or seen
anywhere and anytime was one of the first ones to be measured historically. Also, two other accurately measured qualities
were wind and humidity. Neither of these can be seen, but can be felt. The devices to measure these three sprang up in the
mid-1400s[14] and were respectively the rain gauge, the anemometer, and the hygrometer.[15]
Surface measurements
Surface measurements are important data sets to meteorologists. They give a
snapshot of a variety of weather conditions at one single location, and are usually at a weather station. The measurements taken
at a weather station can include any number of atmospheric observables. Usually,
temperature, pressure, wind measurements, and humidity are the variables that are typically measured by
a thermometer, barometer, anemometer, and hygrometer, respectively.
Remote sensing
- Main article: Remote sensing and Radar and
satellite imaging
Remote sensing, as used in Meteorology, is simply the concept of collecting data from remote weather events and
subsequently producing weather information. The common types of remote sensing are Radar,
Lidar, and satellites (or photogrammetry). Each passively collects data about the atmosphere from a remote location and, usually,
stores the data where the instrument is located. However, some argue that both RADAR and LIDAR are not passive because both use
EM radiation to illuminate a specific portion of the atmosphere.[16] On the other hand, anyone has yet to provide verifiable
information that exclude these two methods from the passive category.
Satellite observation
The 1960 launch of the first successful weather satellite, TIROS-1, marked the beginning of the age where weather information is available globally. Weather satellites
along with more general-purpose Earth-observing satellites circling the earth at various altitudes have become an indispensable
tool for studying a wide range of phenomena from forest fires to El
Niño.
In recent years, climate models have been developed that feature a resolution
comparable to older weather prediction models. These climate models are used to investigate long-term climate shifts, such as what effects might be caused by human emission of greenhouse gases.
Weather forecasting
-
Although meteorologists now rely heavily on computer models (numerical weather prediction), it is still relatively common to
use techniques and conceptual models that were developed before computers were powerful enough to make predictions accurately or
efficiently (generally speaking, prior to around 1980). Many of these methods are used to determine how much skill a forecaster
has added to the forecast (for example, how much better than persistence or climatology did the forecast do?). Similarly, they
could also be used to determine how much skill the industry as a whole has gained with emerging technologies and techniques.
The persistence method assumes that conditions will not change. Often summarised as "Tomorrow equals today".
This method works best over short periods of time in stagnant weather regimes.
The extrapolation method assumes that atmospheric systems will propagate at similar speeds in the near future to those
seen in the past. This method achieves the best results when diurnal changes in the pressure and
precipitation patterns are taken into account.
- Numerical forecasting method
The numerical weather prediction or NWP[18] method uses computers to take into account a large number of variables
and creates a computer model of the atmosphere. This is most successful when used with the methods below, and when model biases
and relative skill are taken into account. In general, the ECMWF model outperforms the NCEP ensemble mean, which outperforms the
UKMET/GFS model after 72 hours, which outperform in the NAM model at most time frames. This performance changes when tropical
cyclones are taken into account, as the ECMWF/model ensemble methods/model consensus/GFS/UKMET/NOGAPS/ all perform exceedingly
well, with the NAM and Canadian GEM exhibiting lower accuracy.
- Consensus/ensemble methods of forecasting
Statistically, it is difficult to beat the mean solution, and the consensus and ensemble methods of forecasting take advantage
of the situation by only favoring models that have the greatest support with their ensemble means or other pieces of global model
guidance. A local Hydrometeorological Prediction Center study
showed that using this method alone verifies 50-55% of the time.
The trends method involves determining the change in fronts and high and low
pressure centers in the model runs over various lengths of time. If the trend is seen over a long enough time frame (24 hours or
so), it is more meaningful. The forecast models have been known to overtrend however, so use of this method verifies 55-60% the
time, more so in the surface pattern than aloft.
- Climatology/Analog method[20]
The 'climatology or analog method involves using historical weather data collected over long periods of time (years) to
predict conditions on a given date. A variation on this theme is the use of teleconnections, which rely upon the date and the
expected position of other positive or negative 500 hPa height anomalies to give someone an impression of what the overall
pattern would look like with this anomaly in place, and is of more significant help than a model trend since it verifies roughly
75 percent of the time, when used properly and with a stable anomaly center. Another variation is the use of standard deviations
from climatology in various meteorological fields. Once the pattern deviates more than 4-5 sigmas from climatology, it becomes an
improbable solution.
Atmospheric dynamics
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Atmospheric layers
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Atmospheric circulation
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Atmospheric patterns and oscillations
Madden-Julian oscillation ENSO Walker circulation
Atmospheric modelling
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Observational meteorology
Meteorological topics and phenomena
Institutions of meteorology/atmospheric science
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See also