Meteorology: Difference between revisions
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Starting in the 1950s, [[number|numerical]] forecasts with computers became feasible.<ref>{{cite web|last=Edwards |first=Paul N. |publisher=[[American Institute of Physics]] |website=aip.org |url=http://www.aip.org/history/sloan/gcm/ |title=Atmospheric General Circulation Modeling |archive-url=https://web.archive.org/web/20080325084036/http://www.aip.org/history/sloan/gcm/ |archive-date=25 March 2008 |url-status=dead |access-date=13 January 2008}}</ref> The first [[weather forecast]]s derived this way used [[barotropic]] (single-vertical-level) models, and could successfully predict the large-scale movement of midlatitude [[Rossby wave]]s, that is, the pattern of [[low-pressure area|atmospheric lows]] and [[High-pressure area|highs]].<ref>{{cite book |title=Storm Watchers |page=[https://archive.org/details/stormwatcherstur00cox_df1/page/208 208] |year=2002 |author=Cox, John D. |publisher=John Wiley & Sons, Inc. |isbn=978-0-471-38108-2 |url=https://archive.org/details/stormwatcherstur00cox_df1/page/208 }}</ref> In 1959, the UK Meteorological Office received its first computer, a [[Ferranti Mercury]].<ref>{{Cite web|url=https://www.metoffice.gov.uk/research/modelling-systems/history-of-numerical-weather-prediction|title=The history of Numerical Weather Prediction at the Met Office|website=Met Office|access-date=15 January 2018|archive-date=15 January 2018|archive-url=https://web.archive.org/web/20180115185643/https://www.metoffice.gov.uk/research/modelling-systems/history-of-numerical-weather-prediction|url-status=dead}}</ref> |
Starting in the 1950s, [[number|numerical]] forecasts with computers became feasible.<ref>{{cite web|last=Edwards |first=Paul N. |publisher=[[American Institute of Physics]] |website=aip.org |url=http://www.aip.org/history/sloan/gcm/ |title=Atmospheric General Circulation Modeling |archive-url=https://web.archive.org/web/20080325084036/http://www.aip.org/history/sloan/gcm/ |archive-date=25 March 2008 |url-status=dead |access-date=13 January 2008}}</ref> The first [[weather forecast]]s derived this way used [[barotropic]] (single-vertical-level) models, and could successfully predict the large-scale movement of midlatitude [[Rossby wave]]s, that is, the pattern of [[low-pressure area|atmospheric lows]] and [[High-pressure area|highs]].<ref>{{cite book |title=Storm Watchers |page=[https://archive.org/details/stormwatcherstur00cox_df1/page/208 208] |year=2002 |author=Cox, John D. |publisher=John Wiley & Sons, Inc. |isbn=978-0-471-38108-2 |url=https://archive.org/details/stormwatcherstur00cox_df1/page/208 }}</ref> In 1959, the UK Meteorological Office received its first computer, a [[Ferranti Mercury]].<ref>{{Cite web|url=https://www.metoffice.gov.uk/research/modelling-systems/history-of-numerical-weather-prediction|title=The history of Numerical Weather Prediction at the Met Office|website=Met Office|access-date=15 January 2018|archive-date=15 January 2018|archive-url=https://web.archive.org/web/20180115185643/https://www.metoffice.gov.uk/research/modelling-systems/history-of-numerical-weather-prediction|url-status=dead}}</ref> |
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In the 1960s, the [[Chaos theory|chaotic]] nature of the atmosphere was first observed and mathematically described by [[Edward Lorenz]], founding the field of [[chaos theory]].<ref>Edward N. Lorenz, "Deterministic non-periodic flow", ''Journal of the Atmospheric Sciences'', vol. 20, pages 130–141 (1963).</ref> These advances have led to the current use of [[ensemble forecasting]] in most major forecasting centers, to take into account uncertainty arising from the chaotic nature of the atmosphere.<ref name="HPCens">{{cite web |url=http://www.wpc.ncep.noaa.gov/ensembletraining |author=Manousos, Peter |publisher=[[Hydrometeorological Prediction Center]] |date=19 July 2006 |access-date=31 December 2010 |title=Ensemble Prediction Systems |archive-date=8 April 2019 |archive-url=https://web.archive.org/web/20190408081534/https://www.wpc.ncep.noaa.gov/ensembletraining/ |url-status=live }}</ref> Mathematical models used to predict the long term weather of the Earth ([[climate model]]s), have been developed that have a resolution today that are as coarse as the 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 gas]]es. |
In the 1960s, the [[Chaos theory|chaotic]] nature of the atmosphere was first observed and mathematically described by [[Edward Lorenz]], founding the field of [[chaos theory]].<ref>Edward N. Lorenz, "Deterministic non-periodic flow", ''Journal of the Atmospheric Sciences'', vol. 20, pages 130–141 (1963).</ref> These advances have led to the current use of [[ensemble forecasting]] in most major forecasting centers, to take into account uncertainty arising from the chaotic nature of the atmosphere.<ref name="HPCens">{{cite web |url=http://www.wpc.ncep.noaa.gov/ensembletraining |author=Manousos, Peter |publisher=[[Hydrometeorological Prediction Center]] |date=19 July 2006 |access-date=31 December 2010 |title=Ensemble Prediction Systems |archive-date=8 April 2019 |archive-url=https://web.archive.org/web/20190408081534/https://www.wpc.ncep.noaa.gov/ensembletraining/ |url-status=live }}</ref> Mathematical models used to predict the long term weather of the Earth ([[climate model]]s), have been developed that have a resolution today that are as coarse as the 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 gas]]es. |
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==Meteorologists== |
==Meteorologists== |
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Glossaries |
Meteorology is a branch of the atmospheric sciences (which include atmospheric chemistry and physics) with a major focus on weather forecasting. The study of meteorology dates back millennia, though significant progress in meteorology did not begin until the 18th century. The 19th century saw modest progress in the field after weather observation networks were formed across broad regions. Prior attempts at prediction of weather depended on historical data. It was not until after the elucidation of the laws of physics, and more particularly in the latter half of the 20th century, the development of the computer (allowing for the automated solution of a great many modelling equations) that significant breakthroughs in weather forecasting were achieved. An important branch of weather forecasting is marine weather forecasting as it relates to maritime and coastal safety, in which weather effects also include atmospheric interactions with large bodies of water.
Meteorological phenomena are observable weather events that are explained by the science of meteorology. Meteorological phenomena are described and quantified by the variables of Earth's atmosphere: temperature, air pressure, water vapour, mass flow, and the variations and interactions of these variables, and how they change over time. Different spatial scales are used to describe and predict weather on local, regional, and global levels.
Meteorology, climatology, atmospheric physics, and atmospheric chemistry are sub-disciplines of the atmospheric sciences. Meteorology and hydrology compose the interdisciplinary field of hydrometeorology. The interactions between Earth's atmosphere and its oceans are part of a coupled ocean-atmosphere system. Meteorology has application in many diverse fields such as the military, energy production, transport, agriculture, and construction.
The word meteorology is from the Ancient Greek μετέωρος metéōros (meteor) and -λογία -logia (-(o)logy), meaning "the study of things high in the air".
History
Ancient meteorology up to the time of Aristotle
Early attempts at predicting weather were often related to prophecy and divining, and were sometimes based on astrological ideas. Ancient religions believed meteorological phenomena to be under the control of the gods.[1] The ability to predict rains and floods based on annual cycles was evidently used by humans at least from the time of agricultural settlement if not earlier. Early approaches to predicting weather were based on astrology and were practiced by priests. The Egyptians had rain-making rituals as early as 3500 BC.[1]
Ancient Indian Upanishads contain mentions of clouds and seasons.[2] The Samaveda mentions sacrifices to be performed when certain phenomena were noticed.[3] Varāhamihira's classical work Brihatsamhita, written about 500 AD,[2] provides evidence of weather observation.
Cuneiform inscriptions on Babylonian tablets included associations between thunder and rain. The Chaldeans differentiated the 22° and 46° halos.[3]
The ancient Greeks were the first to make theories about the weather. Many natural philosophers studied the weather. However, as meteorological instruments did not exist, the inquiry was largely qualitative, and could only be judged by more general theoretical speculations.[4] Herodotus states that Thales predicted the solar eclipse of 585 BC. He studied Babylonian equinox tables. [5] According to Seneca, he gave the explanation that the cause of the Nile's annual floods was due to northerly winds hindering its descent by the sea.[6] Anaximander and Anaximenes thought that thunder and lightning was caused by air smashing against the cloud, thus kindling the flame. Early meteorological theories generally considered that there was a fire-like substance in the atmosphere. Anaximander defined wind as a flowing of air, but this was not generally accepted for centuries. [7] A theory to explain summer hail was first proposed by Anaxagoras. He observed that air temperature decreased with increasing height and that clouds contain moisture. He also noted that heat caused objects to rise, and therefore the heat on a summer day would drive clouds to an altitude where the moisture would freeze.[8] Empedocles theorized on the change of the seasons. He believed that fire and water opposed each other in the atmosphere, and when fire gained the upper hand, the result was summer, and when water did, it was winter. Democritus also wrote about the flooding of the Nile. He said that during the summer solstice, snow in northern parts of the world melted. This would cause vapors to form clouds, which would cause storms when driven to the Nile by northerly winds, thus filling the lakes and the Nile.[9] Hippocrates inquired into the effect of weather on health. Eudoxus claimed that bad weather followed four-year periods, according to Pliny.[10]
Aristotelian meteorology
These early observations would form the basis for Aristotle's Meteorology, written in 350 BC.[11][12] Aristotle is considered the founder of meteorology.[13] One of the most impressive achievements described in the Meteorology is the description of what is now known as the hydrologic cycle. His work would remain an authority on meteorology for nearly 2,000 years.[14]
The book De Mundo (composed before 250 BC or between 350 and 200 BC) noted:[15]
- If the flashing body is set on fire and rushes violently to the Earth it is called a thunderbolt; if it is only half of fire, but violent also and massive, it is called a meteor; if it is entirely free from fire, it is called a smoking bolt. They are all called 'swooping bolts' because they swoop down upon the Earth. Lightning is sometimes smoky and is then called 'smoldering lightning"; sometimes it darts quickly along and is then said to be vivid. At other times, it travels in crooked lines, and is called forked lightning. When it swoops down upon some object it is called 'swooping lightning'
After Aristotle, progress in meteorology stalled for a long time. Theophrastus compiled a book on weather forecasting, called the Book of Signs, as well as On Winds. He gave hundreds of signs for weather phenomena for a period up to a year.[16] His system was based on dividing the year by the setting and the rising of the Pleiad, halves into solstices and equinoxes, and the continuity of the weather for those periods. He also divided months into the new moon, fourth day, eighth day and full moon, in likelihood of a change in the weather occurring. The day was divided into sunrise, mid-morning, noon, mid-afternoon and sunset, with corresponding divisions of the night, with change being likely at one of these divisions.[17] Applying the divisions and a principle of balance in the yearly weather, he came up with forecasts like that if a lot of rain falls in the winter, the spring is usually dry. Rules based on actions of animals are also present in his work, like that if a dog rolls on the ground, it is a sign of a storm. Shooting stars and the Moon were also considered significant. However, he made no attempt to explain these phenomena, referring only to the Aristotelian method.[18] The work of Theophrastus remained a dominant influence in weather forecasting for nearly 2,000 years.[19]
Meteorology after Aristotle
Meteorology continued to be studied and developed over the centuries, but it was not until the Renaissance in the 14th to 17th centuries that significant advancements were made in the field. Scientists such as Galileo and Descartes introduced new methods and ideas, leading to the scientific revolution in meteorology.
Speculation on the cause of the flooding of the Nile ended when Eratosthenes, according to Proclus, stated that it was known that man had gone to the sources of the Nile and observed the rains, although interest in its implications continued.[20]
During the era of Roman Greece and Europe, scientific interest in meteorology waned. In the 1st century BC, most natural philosophers claimed that the clouds and winds extended up to 111 miles, but Posidonius thought that they reached up to five miles, after which the air is clear, liquid and luminous. He closely followed Aristotle's theories. By the end of the second century BC, the center of science shifted from Athens to Alexandria, home to the ancient Library of Alexandria. In the 2nd century AD, Ptolemy's Almagest dealt with meteorology, because it was considered a subset of astronomy. He gave several astrological weather predictions.[21] He constructed a map of the world divided into climatic zones by their illumination, in which the length of the Summer solstice increased by half an hour per zone between the equator and the Arctic.[22] Ptolemy wrote on the atmospheric refraction of light in the context of astronomical observations.[23]
In 25 AD, Pomponius Mela, a Roman geographer, formalized the climatic zone system.[24] In 63–64 AD, Seneca wrote Naturales quaestiones. It was a compilation and synthesis of ancient Greek theories. However, theology was of foremost importance to Seneca, and he believed that phenomena such as lightning were tied to fate.[25] The second book(chapter) of Pliny's Natural History covers meteorology. He states that more than twenty ancient Greek authors studied meteorology. He did not make any personal contributions, and the value of his work is in preserving earlier speculation, much like Seneca's work.[26]
From 400 to 1100, scientific learning in Europe was preserved by the clergy. Isidore of Seville devoted a considerable attention to meteorology in Etymologiae, De ordine creaturum and De natura rerum. Bede the Venerable was the first Englishman to write about the weather in De Natura Rerum in 703. The work was a summary of then extant classical sources. However, Aristotle's works were largely lost until the twelfth century, including Meteorologica. Isidore and Bede were scientifically minded, but they adhered to the letter of Scripture.[27]
Islamic civilization translated many ancient works into Arabic which were transmitted and translated in western Europe to Latin.[28]
In the 9th century, Al-Dinawari wrote the Kitab al-Nabat (Book of Plants), in which he deals with the application of meteorology to agriculture during the Arab Agricultural Revolution. He describes the meteorological character of the sky, the planets and constellations, the sun and moon, the lunar phases indicating seasons and rain, the anwa (heavenly bodies of rain), and atmospheric phenomena such as winds, thunder, lightning, snow, floods, valleys, rivers, lakes.[29][30]
In 1021, Alhazen showed that atmospheric refraction is also responsible for twilight in Opticae thesaurus; he estimated that twilight begins when the sun is 19 degrees below the horizon, and also used a geometric determination based on this to estimate the maximum possible height of the Earth's atmosphere as 52,000 passim (about 49 miles, or 79 km).[31]
Adelard of Bath was one of the early translators of the classics. He also discussed meteorological topics in his Quaestiones naturales. He thought dense air produced propulsion in the form of wind. He explained thunder by saying that it was due to ice colliding in clouds, and in Summer it melted. In the thirteenth century, Aristotelian theories reestablished dominance in meteorology. For the next four centuries, meteorological work by and large was mostly commentary. It has been estimated over 156 commentaries on the Meteorologica were written before 1650.[32]
Experimental evidence was less important than appeal to the classics and authority in medieval thought. In the thirteenth century, Roger Bacon advocated experimentation and the mathematical approach. In his Opus majus, he followed Aristotle's theory on the atmosphere being composed of water, air, and fire, supplemented by optics and geometric proofs. He noted that Ptolemy's climatic zones had to be adjusted for topography.[33]
St. Albert the Great was the first to propose that each drop of falling rain had the form of a small sphere, and that this form meant that the rainbow was produced by light interacting with each raindrop.[34] Roger Bacon was the first to calculate the angular size of the rainbow. He stated that a rainbow summit cannot appear higher than 42 degrees above the horizon.[35]
In the late 13th century and early 14th century, Kamāl al-Dīn al-Fārisī and Theodoric of Freiberg were the first to give the correct explanations for the primary rainbow phenomenon. Theoderic went further and also explained the secondary rainbow.[36]
By the middle of the sixteenth century, meteorology had developed along two lines: theoretical science based on Meteorologica, and astrological weather forecasting. The pseudoscientific prediction by natural signs became popular and enjoyed protection of the church and princes. This was supported by scientists like Johannes Muller, Leonard Digges, and Johannes Kepler. However, there were skeptics. In the 14th century, Nicole Oresme believed that weather forecasting was possible, but that the rules for it were unknown at the time. Astrological influence in meteorology persisted until the eighteenth century.[37]
Gerolamo Cardano's De Subilitate (1550) was the first work to challenge fundamental aspects of Aristotelian theory. Cardano maintained that there were only three basic elements- earth, air, and water. He discounted fire because it needed material to spread and produced nothing. Cardano thought there were two kinds of air: free air and enclosed air. The former destroyed inanimate things and preserved animate things, while the latter had the opposite effect.[38]
Rene Descartes's Discourse on the Method (1637) typifies the beginning of the scientific revolution in meteorology. His scientific method had four principles: to never accept anything unless one clearly knew it to be true; to divide every difficult problem into small problems to tackle; to proceed from the simple to the complex, always seeking relationships; to be as complete and thorough as possible with no prejudice.[39]
In the appendix Les Meteores, he applied these principles to meteorology. He discussed terrestrial bodies and vapors which arise from them, proceeding to explain the formation of clouds from drops of water, and winds, clouds then dissolving into rain, hail and snow. He also discussed the effects of light on the rainbow. Descartes hypothesized that all bodies were composed of small particles of different shapes and interwovenness. All of his theories were based on this hypothesis. He explained the rain as caused by clouds becoming too large for the air to hold, and that clouds became snow if the air was not warm enough to melt them, or hail if they met colder wind. Like his predecessors, Descartes's method was deductive, as meteorological instruments were not developed and extensively used yet. He introduced the Cartesian coordinate system to meteorology and stressed the importance of mathematics in natural science. His work established meteorology as a legitimate branch of physics.[40]
In the 18th century, the invention of the thermometer and barometer allowed for more accurate measurements of temperature and pressure, leading to a better understanding of atmospheric processes. This century also saw the birth of the first meteorological society, the Societas Meteorologica Palatina in 1780.[41]
In the 19th century, advances in technology such as the telegraph and photography led to the creation of weather observing networks and the ability to track storms. Additionally, scientists began to use mathematical models to make predictions about the weather. The 20th century saw the development of radar and satellite technology, which greatly improved the ability to observe and track weather systems. In addition, meteorologists and atmospheric scientists started to create the first weather forecasts and temperature predictions.[42]
In the 20th and 21st centuries, with the advent of computer models and big data, meteorology has become increasingly dependent on numerical methods and computer simulations. This has greatly improved weather forecasting and climate predictions. Additionally, meteorology has expanded to include other areas such as air quality, atmospheric chemistry, and climatology. The advancement in observational, theoretical and computational technologies has enabled ever more accurate weather predictions and understanding of weather pattern and air pollution. In current time, with the advancement in weather forecasting and satellite technology, meteorology has become an integral part of everyday life, and is used for many purposes such as aviation, agriculture, and disaster management.[citation needed]
Instruments and classification scales
In 1441, King Sejong's son, Prince Munjong of Korea, invented the first standardized rain gauge.[43] These were sent throughout the Joseon dynasty of Korea as an official tool to assess land taxes based upon a farmer's potential harvest. In 1450, Leone Battista Alberti developed a swinging-plate anemometer, and was known as the first anemometer.[44] In 1607, Galileo Galilei constructed a thermoscope. In 1611, Johannes Kepler wrote the first scientific treatise on snow crystals: "Strena Seu de Nive Sexangula (A New Year's Gift of Hexagonal Snow)."[45] In 1643, Evangelista Torricelli invented the mercury barometer.[44] In 1662, Sir Christopher Wren invented the mechanical, self-emptying, tipping bucket rain gauge. In 1714, Gabriel Fahrenheit created a reliable scale for measuring temperature with a mercury-type thermometer.[46] In 1742, Anders Celsius, a Swedish astronomer, proposed the "centigrade" temperature scale, the predecessor of the current Celsius scale.[47] In 1783, the first hair hygrometer was demonstrated by Horace-Bénédict de Saussure. In 1802–1803, Luke Howard wrote On the Modification of Clouds, in which he assigns cloud types Latin names.[48] In 1806, Francis Beaufort introduced his system for classifying wind speeds.[49] Near the end of the 19th century the first cloud atlases were published, including the International Cloud Atlas, which has remained in print ever since. The April 1960 launch of the first successful weather satellite, TIROS-1, marked the beginning of the age where weather information became available globally.
Atmospheric composition research
In 1648, Blaise Pascal rediscovered that atmospheric pressure decreases with height, and deduced that there is a vacuum above the atmosphere.[50] In 1738, Daniel Bernoulli published Hydrodynamics, initiating the Kinetic theory of gases and established the basic laws for the theory of gases.[51] In 1761, Joseph Black discovered that ice absorbs heat without changing its temperature when melting. In 1772, Black's student Daniel Rutherford discovered nitrogen, which he called phlogisticated air, and together they developed the phlogiston theory.[52] In 1777, Antoine Lavoisier discovered oxygen and developed an explanation for combustion.[53] In 1783, in Lavoisier's essay "Reflexions sur le phlogistique,"[54] he deprecates the phlogiston theory and proposes a caloric theory.[55][56] In 1804, John Leslie observed that a matte black surface radiates heat more effectively than a polished surface, suggesting the importance of black-body radiation. In 1808, John Dalton defended caloric theory in A New System of Chemistry and described how it combines with matter, especially gases; he proposed that the heat capacity of gases varies inversely with atomic weight. In 1824, Sadi Carnot analyzed the efficiency of steam engines using caloric theory; he developed the notion of a reversible process and, in postulating that no such thing exists in nature, laid the foundation for the second law of thermodynamics. In 1716, Edmund Halley suggested that aurorae are caused by "magnetic effluvia" moving along the Earth's magnetic field lines.
Research into cyclones and air flow
In 1494, Christopher Columbus experienced a tropical cyclone, which led to the first written European account of a hurricane.[57] In 1686, Edmund Halley presented a systematic study of the trade winds and monsoons and identified solar heating as the cause of atmospheric motions.[58] In 1735, an ideal explanation of global circulation through study of the trade winds was written by George Hadley.[59] In 1743, when Benjamin Franklin was prevented from seeing a lunar eclipse by a hurricane, he decided that cyclones move in a contrary manner to the winds at their periphery.[60] Understanding the kinematics of how exactly the rotation of the Earth affects airflow was partial at first. Gaspard-Gustave Coriolis published a paper in 1835 on the energy yield of machines with rotating parts, such as waterwheels.[61] In 1856, William Ferrel proposed the existence of a circulation cell in the mid-latitudes, and the air within deflected by the Coriolis force resulting in the prevailing westerly winds.[62] Late in the 19th century, the motion of air masses along isobars was understood to be the result of the large-scale interaction of the pressure gradient force and the deflecting force. By 1912, this deflecting force was named the Coriolis effect.[63] Just after World War I, a group of meteorologists in Norway led by Vilhelm Bjerknes developed the Norwegian cyclone model that explains the generation, intensification and ultimate decay (the life cycle) of mid-latitude cyclones, and introduced the idea of fronts, that is, sharply defined boundaries between air masses.[64] 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 how rain forms) and Jacob Bjerknes.
Observation networks and weather forecasting
In the late 16th century and first half of the 17th century a range of meteorological instruments were invented – the thermometer, barometer, hydrometer, as well as wind and rain gauges. In the 1650s natural philosophers started using these instruments to systematically record weather observations. Scientific academies established weather diaries and organised observational networks.[65] In 1654, Ferdinando II de Medici established the first weather observing network, that consisted of meteorological stations in Florence, Cutigliano, Vallombrosa, Bologna, Parma, Milan, Innsbruck, Osnabrück, Paris and Warsaw. The collected data were sent to Florence at regular time intervals.[66] In the 1660s Robert Hooke of the Royal Society of London sponsored networks of weather observers. Hippocrates' treatise Airs, Waters, and Places had linked weather to disease. Thus early meteorologists attempted to correlate weather patterns with epidemic outbreaks, and the climate with public health.[65]
During the Age of Enlightenment meteorology tried to rationalise traditional weather lore, including astrological meteorology. But there were also attempts to establish a theoretical understanding of weather phenomena. Edmond Halley and George Hadley tried to explain trade winds. They reasoned that the rising mass of heated equator air is replaced by an inflow of cooler air from high latitudes. A flow of warm air at high altitude from equator to poles in turn established an early picture of circulation. Frustration with the lack of discipline among weather observers, and the poor quality of the instruments, led the early modern nation states to organise large observation networks. Thus, by the end of the 18th century, meteorologists had access to large quantities of reliable weather data.[65] In 1832, an electromagnetic telegraph was created by Baron Schilling.[67] The arrival of the electrical telegraph in 1837 afforded, for the first time, a practical method for quickly gathering surface weather observations from a wide area.[68]
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 Institution began to establish an observation network across the United States under the leadership of Joseph Henry.[69] Similar observation networks were established in Europe at this time. The Reverend William Clement Ley was key in understanding of cirrus clouds and early understandings of Jet Streams.[70] Charles Kenneth Mackinnon Douglas, known as 'CKM' Douglas read Ley's papers after his death and carried on the early study of weather systems.[71] Nineteenth century researchers in meteorology were drawn from military or medical backgrounds, rather than trained as dedicated scientists.[72] In 1854, the United Kingdom government appointed Robert FitzRoy to the new office of Meteorological Statist to the Board of Trade with the task of gathering weather observations at sea. FitzRoy's office became the United Kingdom Meteorological Office in 1854, the second oldest national meteorological service in the world (the Central Institution for Meteorology and Geodynamics (ZAMG) in Austria was founded in 1851 and is the oldest weather 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.
FitzRoy coined the term "weather forecast" and tried to separate scientific approaches from prophetic ones.[73]
Over the next 50 years, many countries established national meteorological services. The India Meteorological Department (1875) was established to follow tropical cyclone and monsoon.[74] The Finnish Meteorological Central Office (1881) was formed from part of Magnetic Observatory of Helsinki University.[75] Japan's Tokyo Meteorological Observatory, the forerunner of the Japan Meteorological Agency, began constructing surface weather maps in 1883.[76] The United States Weather Bureau (1890) was established under the United States Department of Agriculture. The Australian Bureau of Meteorology (1906) was established by a Meteorology Act to unify existing state meteorological services.[77][78]
Numerical weather prediction
In 1904, Norwegian scientist Vilhelm Bjerknes first argued in his paper Weather Forecasting as a Problem in Mechanics and Physics that it should be possible to forecast weather from calculations based upon natural laws.[79][80]
It was not until later in the 20th century that 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,"[81] after finding notes and derivations he worked on as an ambulance driver in World War I. He described how small terms in the prognostic fluid dynamics equations that govern atmospheric flow could be neglected, and a numerical calculation scheme that could be devised to allow predictions. Richardson envisioned a large auditorium of thousands of people performing the calculations. However, the sheer number of calculations required was too large to complete without electronic computers, and the size of the grid and time steps used in the calculations led to unrealistic results. Though numerical analysis later found that this was due to numerical instability.
Starting in the 1950s, numerical forecasts with computers became feasible.[82] The first weather forecasts derived this way used barotropic (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.[83] In 1959, the UK Meteorological Office received its first computer, a Ferranti Mercury.[84]
In the 1960s, the chaotic nature of the atmosphere was first observed and mathematically described by Edward Lorenz, founding the field of chaos theory.[85] These advances have led to the current use of ensemble forecasting in most major forecasting centers, to take into account uncertainty arising from the chaotic nature of the atmosphere.[86] Mathematical models used to predict the long term weather of the Earth (climate models), have been developed that have a resolution today that are as coarse as the 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.
Meteorologists
Meteorologists are scientists who study and work in the field of meteorology.[87] The American Meteorological Society publishes and continually updates an authoritative electronic Meteorology Glossary.[88] Meteorologists work in government agencies, private consulting and research services, industrial enterprises, utilities, radio and television stations, and in education. In the United States, meteorologists held about 10,000 jobs in 2018.[89]
Although weather forecasts and warnings are the best known products of meteorologists for the public, weather presenters on radio and television are not necessarily professional meteorologists. They are most often reporters with little formal meteorological training, using unregulated titles such as weather specialist or weatherman. The American Meteorological Society and National Weather Association issue "Seals of Approval" to weather broadcasters who meet certain requirements but this is not mandatory to be hired by the media.
Equipment
Each science has its own unique sets of laboratory equipment. 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 atmospheric qualities measured historically. Also, two other accurately measured qualities are wind and humidity. Neither of these can be seen but can be felt. The devices to measure these three sprang up in the mid-15th century and were respectively the rain gauge, the anemometer, and the hygrometer. Many attempts had been made prior to the 15th century to construct adequate equipment to measure the many atmospheric variables. Many were faulty in some way or were simply not reliable. Even Aristotle noted this in some of his work as the difficulty to measure the air.
Sets of surface measurements are important data to meteorologists. They give a snapshot of a variety of weather conditions at one single location and are usually at a weather station, a ship or a weather buoy. 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 measured by a thermometer, barometer, anemometer, and hygrometer, respectively.[90] Professional stations may also include air quality sensors (carbon monoxide, carbon dioxide, methane, ozone, dust, and smoke), ceilometer (cloud ceiling), falling precipitation sensor, flood sensor, lightning sensor, microphone (explosions, sonic booms, thunder), pyranometer/pyrheliometer/spectroradiometer (IR/Vis/UV photodiodes), rain gauge/snow gauge, scintillation counter (background radiation, fallout, radon), seismometer (earthquakes and tremors), transmissometer (visibility), and a GPS clock for data logging. Upper air data are of crucial importance for weather forecasting. The most widely used technique is launches of radiosondes. Supplementing the radiosondes a network of aircraft collection is organized by the World Meteorological Organization.
Remote sensing, as used in meteorology, is 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 collects data about the atmosphere from a remote location and, usually, stores the data where the instrument is located. Radar and Lidar are not passive because both use EM radiation to illuminate a specific portion of the atmosphere.[91] 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.
Spatial scales
The study of the atmosphere can be divided into distinct areas that depend on both time and spatial scales. At one extreme of this scale is 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 used to describe the unique, local, or broad effects within those subclasses.
Type of motion | Horizontal scale (meter) |
---|---|
Molecular mean free path | 10−7 |
Minute turbulent eddies | 10−2 – 10−1 |
Small eddies | 10−1 – 1 |
Dust devils | 1–10 |
Gusts | 10 – 102 |
Tornadoes | 102 |
Cumulonimbus clouds | 103 |
Fronts, squall lines | 104 – 105 |
Hurricanes | 105 |
Synoptic Cyclones | 106 |
Planetary waves | 107 |
Microscale
Microscale meteorology is the study of atmospheric phenomena on a scale of about 1 kilometre (0.62 mi) or less. Individual thunderstorms, clouds, and local turbulence caused by buildings and other obstacles (such as individual hills) are modeled on this scale.[93]
Mesoscale
Mesoscale meteorology is the study of atmospheric phenomena that has horizontal scales ranging from 1 km to 1000 km 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 multiple 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.[94]
Synoptic scale
Synoptic scale meteorology predicts atmospheric changes at scales up to 1000 km and 105 sec (28 days), in time and space. At the synoptic scale, the Coriolis acceleration acting on moving air masses (outside of the tropics) plays a dominant role in predictions. The phenomena typically described by synoptic meteorology include events such as extratropical cyclones, baroclinic troughs and ridges, frontal zones, and to some extent jet streams. All of these are typically given on weather maps for a specific time. The minimum horizontal scale of synoptic phenomena is limited to the spacing between surface observation stations.[95]
Global scale
Global scale meteorology is the study of weather patterns related to the transport of heat from the tropics to the poles. Very large scale oscillations are of importance at this scale. These oscillations have time periods typically on the order of months, such as the Madden–Julian oscillation, or years, such as the El Niño–Southern Oscillation and the Pacific decadal oscillation. Global scale meteorology pushes into the range of climatology. The traditional definition of climate is pushed into larger timescales and with the understanding of the longer time scale global oscillations, their effect on climate and weather disturbances can be included in the synoptic and mesoscale timescales predictions.
Numerical Weather Prediction is a main focus in understanding air–sea interaction, tropical meteorology, atmospheric predictability, and tropospheric/stratospheric processes.[96] The Naval Research Laboratory in Monterey, California, developed a global atmospheric model called Navy Operational Global Atmospheric Prediction System (NOGAPS). NOGAPS is run operationally at Fleet Numerical Meteorology and Oceanography Center for the United States Military. Many other global atmospheric models are run by national meteorological agencies.
Some meteorological principles
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). The effects of the surface – heating, cooling, and friction – cause turbulent mixing within the air layer. Significant movement of heat, matter, or momentum on time scales of less than a day are caused by turbulent motions.[97] Boundary layer meteorology includes the study of all types of surface–atmosphere boundary, including ocean, lake, urban land and non-urban land for the study of meteorology.
Dynamic meteorology
Dynamic meteorology generally focuses on the fluid dynamics 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 an infinitesimal region 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.[92]
Applications
Weather forecasting
Weather forecasting is the application of science and technology to predict the state of the atmosphere at a future time and given location. Humans have attempted to predict the weather informally for millennia and formally since at least the 19th century.[98][99] Weather forecasts are made by collecting quantitative data about the current state of the atmosphere and using scientific understanding of atmospheric processes to project how the atmosphere will evolve.[100]
Once an all-human endeavor based mainly upon changes in barometric pressure, current weather conditions, and sky condition,[101][102] forecast models are now used to determine future conditions. Human input is still required to pick the best possible forecast model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases. The chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, error involved in measuring the initial conditions, and an incomplete understanding of atmospheric processes mean that forecasts become less accurate as the difference in current time and the time for which the forecast is being made (the range of the forecast) increases. The use of ensembles and model consensus help narrow the error and pick the most likely outcome.[103][104][105]
There are a variety of end uses to weather forecasts. Weather warnings are important forecasts because they are used to protect life and property.[106] Forecasts based on temperature and precipitation are important to agriculture,[107][108][109][110] and therefore to commodity traders within stock markets. Temperature forecasts are used by utility companies to estimate demand over coming days.[111][112][113] On an everyday basis, people use weather forecasts to determine what to wear. Since outdoor activities are severely curtailed by heavy rain, snow, and wind chill, forecasts can be used to plan activities around these events, and to plan ahead and survive them.
Aviation meteorology
Aviation meteorology deals with the impact of weather on air traffic management.[114] 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:[115]
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.[116]
Agricultural meteorology
Meteorologists, soil scientists, agricultural hydrologists, and agronomists are people 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.[117]
Hydrometeorology
Hydrometeorology is the branch of meteorology that deals with the hydrologic cycle, the water budget, and the rainfall statistics of storms.[118] 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.[119]
The multidisciplinary nature of the branch can result in technical challenges, since tools and solutions from each of the individual disciplines involved may behave slightly differently, be optimized for different hard- and software platforms and use different data formats. There are some initiatives – such as the DRIHM project[120] – that are trying to address this issue.[121]
Nuclear meteorology
Nuclear meteorology investigates the distribution of radioactive aerosols and gases in the atmosphere.[122]
Maritime meteorology
Maritime meteorology deals with air and wave forecasts for ships operating at sea. Organizations such as the Ocean Prediction Center, Honolulu National Weather Service forecast office, United Kingdom Met Office, KNMI and JMA prepare high seas forecasts for the world's oceans.
Military meteorology
Military meteorology is the research and application of meteorology for military purposes. In the United States, the United States Navy's Commander, Naval Meteorology and Oceanography Command oversees meteorological efforts for the Navy and Marine Corps while the United States Air Force's Air Force Weather Agency is responsible for the Air Force and Army.
Environmental meteorology
Environmental meteorology mainly analyzes industrial pollution dispersion physically and chemically based on meteorological parameters such as temperature, humidity, wind, and various weather conditions.
Renewable energy
Meteorology applications in renewable energy includes basic research, "exploration," and potential mapping of wind power and solar radiation for wind and solar energy.
See also
- Aerography
- American Practical Navigator
- Atmospheric circulation
- Atmospheric layers
- Atmospheric models
- Atmospheric pressure
- Atmospheric thermodynamics
- Automated airport weather station
- Cloud
- Eddy covariance flux (eddy correlation, eddy flux)
- El Niño–Southern Oscillation
- Index of meteorology articles
- Indigenous Australian seasons
- List of cloud types
- List of meteorology institutions
- List of Russian meteorologists
- List of weather instruments
- Madden–Julian oscillation
- Meteorological winter
- National Weatherperson's Day
- Precipitation
- ROFOR
- Space weather
- Walker circulation
- Weather station
References
- ^ a b Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 1. ISBN 978-1-940033-91-4.
- ^ a b NS, nsimd@ymail.com. "History of Meteorology in India". Imd.gov.in. Archived from the original on 30 March 2012. Retrieved 25 March 2012.
- ^ a b Hellmann, G. (1 October 1908). "The dawn of meteorology". Quarterly Journal of the Royal Meteorological Society. 34 (148): 221–232. Bibcode:1908QJRMS..34..221H. doi:10.1002/qj.49703414802. ISSN 1477-870X.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 8. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 11. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 4. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 5. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 6. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 8. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 9–10. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 11. ISBN 978-1-940033-91-4.
- ^ "Meteorology: Introduction". Infoplease. Archived from the original on 28 December 2008. Retrieved 4 November 2008.
- ^ "94.05.01: Meteorology". Archived from the original on 21 July 2016. Retrieved 16 June 2015.
- ^ Aristotle (2004) [350 BCE]. Meteorology. The University of Adelaide Library, University of Adelaide, South Australia 5005. Archived from the original on 17 February 2007.
Translated by E.W. Webster
{{cite book}}
: CS1 maint: location (link) CS1 maint: location missing publisher (link) - ^ Aristotle; Forster, E. S. (Edward Seymour), 1879–1950; Dobson, J. F. (John Frederic), 1875–1947 (1914). De Mundo. Oxford : The Clarendon Press. p. Chapter 4.
{{cite book}}
: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link) - ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 25. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 25–26. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 26. ISBN 978-1-940033-91-4.
- ^ "Weather: Forecasting from the Beginning". Infoplease. Archived from the original on 10 July 2022. Retrieved 4 November 2008.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 26. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 27. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 28. ISBN 978-1-940033-91-4.
- ^ Smith AM, 1996. "Ptolemy's Theory of Visual Perception: An English Translation of the Optics", pp. 46. Transactions of the American Philosophical Society vol. 86, part 2.
- ^ "Timeline of geography, paleontology". Paleorama.com. Archived from the original on 6 September 2012.
Following the path of Discovery
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 29–30. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 30. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 30–31. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 31. ISBN 978-1-940033-91-4.
- ^ Fahd, Toufic, Botany and agriculture, p. 815
- ^ Morelon, Régis; Rashed, Roshdi (1996). Encyclopedia of the History of Arabic Science. Vol. 3. Routledge. pp. 815–816. ISBN 978-0-415-12410-2.
- ^ Frisinger, H. Howard (1973). "Aristotle's Legacy in Meteorology". Bulletin of the American Meteorological Society. 54 (3): 198. Bibcode:1973BAMS...54..198F. doi:10.1175/1520-0477(1973)054<0198:ALIM>2.0.CO;2. ISSN 1520-0477.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 32. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 33. ISBN 978-1-940033-91-4.
- ^ "Ancient and pre-Renaissance Contributors to Meteorology". Archived from the original on 2 December 2014. Retrieved 16 June 2015.
- ^ Raymond L. Lee; Alistair B. Fraser (2001). The Rainbow Bridge: Rainbows in Art, Myth, and Science. Penn State Press. p. 155. ISBN 978-0-271-01977-2.
- ^ "Theodoric of Freiberg and Kamal al-Din al-Farisi Independently Formulate the Correct Qualitative Description of the Rainbow | Encyclopedia.com". www.encyclopedia.com. Archived from the original on 4 August 2020. Retrieved 16 May 2020.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 33, 36. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 36–37. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. p. 37. ISBN 978-1-940033-91-4.
- ^ Frisinge, H. Howard (1983). The History of Meteorology: to 1800. American Meteorological Society. pp. 37–40. ISBN 978-1-940033-91-4.
- ^ Börngen, Michael; Foken, Thomas (2022). "150 Years: The Leipzig Meteorological Conference, 1872, a Milestone in International Meteorological Cooperation". Meteorologische Zeitschrift. 31 (5): 415–427. Bibcode:2022MetZe..31..415B. doi:10.1127/metz/2022/1134. S2CID 251295416.
- ^ "Weather Forecasting Through the Ages". earthobservatory.nasa.gov. 25 February 2002. Archived from the original on 22 January 2009. Retrieved 9 December 2023.
- ^ Earth Science' 2005 Ed. Rex Bookstore, Inc. p. 151. ISBN 978-971-23-3938-7.
- ^ a b Jacobson, Mark Z. (June 2005). Fundamentals of Atmospheric Modeling (paperback) (2nd ed.). New York: Cambridge University Press. p. 828. ISBN 978-0-521-54865-6.
- ^ "Early Snow Crystal Observations". Archived from the original on 25 February 2019. Retrieved 16 June 2015.
- ^ Grigull, U., Fahrenheit, a Pioneer of Exact Thermometry. Heat Transfer, 1966, The Proceedings of the 8th International Heat Transfer Conference, San Francisco, 1966, Vol. 1.
- ^ Beckman, Olof (2001). "History of the Celsius temperature scale". Uppsala Astronomical Observatory. Archived from the original on 22 July 2009.
- ^ Thornes, John. E. (1999). John Constable's Skies. The University of Birmingham Press, pp. 189. ISBN 1-902459-02-4.
- ^ Giles, Bill. "Beaufort Scale". BBC Weather. Archived from the original on 15 October 2010. Retrieved 12 May 2009.
- ^ Florin to Pascal, September 1647, Œuves completes de Pascal, 2:682.
- ^ O'Connor, John J.; Robertson, Edmund F., "Meteorology", MacTutor History of Mathematics Archive, University of St Andrews
- ^ Biographical note at "Lectures and Papers of Professor Daniel Rutherford (1749–1819), and Diary of Mrs Harriet Rutherford" Archived 7 February 2012 at the Wayback Machine.
- ^ "Sur la combustion en général" ("On Combustion in general", 1777) and "Considérations Générales sur la Nature des Acides" ("General Considerations on the Nature of Acids", 1778).
- ^ Nicholas W. Best, "Lavoisier's 'Reflections on Phlogiston' I: Against Phlogiston Theory" Archived 22 September 2018 at the Wayback Machine, Foundations of Chemistry, 2015, 17, 137–151.
- ^ Nicholas W. Best, Lavoisier's 'Reflections on Phlogiston' II: On the Nature of Heat Archived 9 April 2019 at the Wayback Machine, Foundations of Chemistry, 2015, 17. In this early work, Lavoisier calls it "igneous fluid".
- ^ The 1880 edition of A Guide to the Scientific Knowledge of Things Familiar, a 19th-century educational science book, explained heat transfer in terms of the flow of caloric.
- ^ Morison, Samuel Eliot, Admiral of the Ocean Sea: A Life of Cristopher Columbus, Boston, 1942, page 617.
- ^ Cook, Alan H., Edmond Halley: Charting the Heavens and the Seas (Oxford: Clarendon Press, 1998)
- ^ George Hadley, "Concerning the cause of the general trade winds", Philosophical Transactions, vol. 39 (1735).
- ^ Dorst, Neal (1 June 2017). "FAQ: Hurricane Timeline". aoml.noaa.gov. AOML. Archived from the original on 5 June 2019.
- ^ G-G Coriolis (1835). "Sur les équations du mouvement relatif des systèmes de corps". Journal de l'École Royale Polytechnique. 15: 144–154.
- ^ Ferrel, William (4 October 1856). "An Essay on the Winds and the Currents of the Ocean" (PDF). Archived from the original (PDF) on 11 October 2013. Retrieved 1 January 2009.
- ^ Arthur Gordon Webster (1912). The Dynamics of Particles and of Rigid, Elastic, and Fluid Bodies. B.G. Teubner. p. 320.
coriolis centrifugal force 0-1920.
- ^ Johnson, Shaye (2003). "The Norwegian Cyclone Model" (PDF). weather.ou.edu. The University of Oklahoma. Archived from the original (PDF) on 1 September 2006. Retrieved 11 October 2006.
- ^ a b c John L. Heilbron (2003). The Oxford Companion to the History of Modern Science. Oxford University Press. p. 518. ISBN 9780199743766.
- ^ Raymond S. Bradley, Philip D. Jones, Climate Since A.D. 1500, Routledge, 1992, ISBN 0-415-07593-9, p.144
- ^ Martin, Rebecca (2009). "News on the wire". ABC Online. Archived from the original on 3 March 2016. Retrieved 12 May 2009.
- ^ Bruno, Leonard C. "The Invention of the Telegraph". memory.loc.gov. Library of Congress. Archived from the original on 11 January 2009. Retrieved 1 January 2009.
- ^ "Smithsonian Institution Archives". Archived from the original on 20 October 2006. Retrieved 16 June 2015.
- ^ "Prophet without Honour: The Reverend William Clement Ley and the hunt for the jet stream". rmets.org. Archived from the original on 28 August 2016. Retrieved 13 October 2016.
- ^ Field, M. (1 October 1999). "Meteorologist's profile — Charles Kenneth Mackinnon Douglas, OBE, AFC, MA". Weather. 54 (10): 321–327. Bibcode:1999Wthr...54..321F. doi:10.1002/j.1477-8696.1999.tb03992.x. S2CID 120325369.
- ^ Williamson, Fiona (1 September 2015). "Weathering the empire: meteorological research in the early British straits settlements". The British Journal for the History of Science. 48 (3): 475–492. doi:10.1017/S000708741500028X. ISSN 1474-001X. PMID 26234178. Archived from the original on 16 January 2021. Retrieved 20 December 2020.
- ^ Anderson, Katharine (1999). "The weather prophets: science and reputation in Victorian meteorology". History of Science. 37 (2): 179–215. Bibcode:1999HisSc..37..179A. doi:10.1177/007327539903700203. S2CID 142652078.
- ^ "Establishment of IMD". imd.gov.in. India Meteorological Department. Archived from the original on 20 November 2015. Retrieved 1 January 2009.
- ^ "History of Finnish Meteorological Institute". fmi.fi. Finnish Meteorological Institute. Archived from the original on 25 July 2010. Retrieved 1 January 2009.
- ^ "History". jma.go.jp. Japan Meteorological Agency. Archived from the original on 25 December 2010. Retrieved 22 October 2006.
- ^ "BOM celebrates 100 years". Australian Broadcasting Corporation. 31 December 2007. Archived from the original on 5 November 2012. Retrieved 2 January 2009.
- ^ "Collections in Perth: 20. Meteorology". National Archives of Australia. Archived from the original on 12 February 2012. Retrieved 24 May 2008.
- ^ Berknes, V. (1904) "Das Problem der Wettervorhersage, betrachtet vom Standpunkte der Mechanik und der Physik" (The problem of weather prediction, considered from the viewpoints of mechanics and physics), Meteorologische Zeitschrift, 21 : 1–7. Available in English on-line at: Schweizerbart science publishers Archived 11 April 2018 at the Wayback Machine.
- ^ "Pioneers in Modern Meteorology and Climatology: Vilhelm and Jacob Bjerknes" (PDF). Archived (PDF) from the original on 21 November 2017. Retrieved 13 October 2008.
- ^ Richardson, Lewis Fry, Weather Prediction by Numerical Process (Cambridge, England: Cambridge University Press, 1922). Available on-line at: Internet Archive.org.
- ^ Edwards, Paul N. "Atmospheric General Circulation Modeling". aip.org. American Institute of Physics. Archived from the original on 25 March 2008. Retrieved 13 January 2008.
- ^ Cox, John D. (2002). Storm Watchers. John Wiley & Sons, Inc. p. 208. ISBN 978-0-471-38108-2.
- ^ "The history of Numerical Weather Prediction at the Met Office". Met Office. Archived from the original on 15 January 2018. Retrieved 15 January 2018.
- ^ Edward N. Lorenz, "Deterministic non-periodic flow", Journal of the Atmospheric Sciences, vol. 20, pages 130–141 (1963).
- ^ Manousos, Peter (19 July 2006). "Ensemble Prediction Systems". Hydrometeorological Prediction Center. Archived from the original on 8 April 2019. Retrieved 31 December 2010.
- ^ Glickman, Todd S. (June 2009). Meteorology Glossary (electronic) (2nd ed.). Cambridge, Massachusetts: American Meteorological Society. Archived from the original on 10 November 2019. Retrieved 10 March 2014.
- ^ Glickman, Todd S. (June 2000). Meteorology Glossary (electronic) (2nd ed.). Cambridge, Massachusetts: American Meteorological Society. Archived from the original on 10 March 2014. Retrieved 10 March 2014.
- ^ "Atmospheric Scientists, Including Meteorologists : Occupational Outlook Handbook: : U.S. Bureau of Labor Statistics". www.bls.gov. Archived from the original on 18 April 2020. Retrieved 24 March 2020.
- ^ "Surface Weather Observations and Reports, Federal Meteorological Handbook No. 1". ofcm.gov. Office of the Federal Coordinator of Meteorology. September 2005. Archived from the original on 20 April 1999. Retrieved 2 January 2009.
- ^ Peebles, Peyton, [1998], Radar Principles, John Wiley & Sons, Inc., New York, ISBN 0-471-25205-0.
- ^ a b Holton, J.R. (2004). An Introduction to Dynamic Meteorology (PDF) (4th ed.). Burlington, MD: Elsevier Academic Press. p. 5. ISBN 978-0-12-354015-7. Archived (PDF) from the original on 6 March 2016. Retrieved 5 March 2016.: 5
- ^ "AMS Glossary of Meteorology". American Meteorological Society. Archived from the original on 6 June 2011. Retrieved 12 April 2008.
- ^ Online Glossary of Meteorology Archived 21 May 2006 at the Wayback Machine, American Meteorological Society [1] Archived 16 February 2006 at the Wayback Machine, 2nd Ed., 2000, Allen Press Archived 23 February 2011 at the Wayback Machine.
- ^ Bluestein, H., Synoptic-Dynamic Meteorology in Midlatitudes: Principles of Kinematics and Dynamics, Vol. 1, Oxford University Press, 1992; ISBN 0-19-506267-1
- ^ Global Modelling Archived 21 August 2007 at the Wayback Machine, US Naval Research Laboratory, Monterey, Ca.
- ^ Garratt, J.R., The atmospheric boundary layer, Cambridge University Press, 1992; ISBN 0-521-38052-9.
- ^ "Astrology Lessons". Mistic House. Archived from the original on 8 June 2008. Retrieved 12 January 2008.
- ^ Craft, Eric D. (7 October 2001). "An Economic History of Weather Forecasting". EH.net. Economic History Association. Archived from the original on 3 May 2007. Retrieved 15 April 2007.
- ^ "Weather Forecasting Through the Ages". NASA. Archived from the original on 10 September 2005. Retrieved 25 May 2008.
- ^ "Applying The Barometer To Weather Watching". The Weather Doctor. Archived from the original on 9 May 2008. Retrieved 25 May 2008.
- ^ Moore, Mark (2003). "Field Forecasting—a short summary" (PDF). NWAC. Archived from the original (PDF) on 25 March 2009. Retrieved 25 May 2008.
- ^ Weickmann, Klaus; Whitaker, Jeff; Roubicek, Andres; Smith, Catherine. "The Use of Ensemble Forecasts to Produce Improved Medium Range (3–15 days) Weather Forecasts". cdc.noaa.gov. Earth System Research Laboratories. Archived from the original on 15 December 2007. Retrieved 16 February 2007.
- ^ Kimberlain, Todd (June 2007). "TC Genesis, Track, and Intensity Forecating [sic]". wpc.ncep.noaa.gov. Archived from the original on 27 February 2021. Retrieved 21 July 2007.
- ^ Richard J. Pasch, Mike Fiorino, and Chris Landsea. TPC/NHC’S REVIEW OF THE NCEP PRODUCTION SUITE FOR 2006.[permanent dead link ] Retrieved on 5 May 2008.
- ^ "National Weather Service Mission Statement". weather.gov. NOAA. Archived from the original on 12 June 2008. Retrieved 25 May 2008.
- ^ Fannin, Blair (14 June 2006). "Dry weather conditions continue for Texas". Southwest Farm Press. Archived from the original on 3 July 2009. Retrieved 26 May 2008.
- ^ Mader, Terry (3 April 2000). "Drought Corn Silage". beef.unl.edu. University of Nebraska–Lincoln. Archived from the original on 5 October 2011. Retrieved 26 May 2008.
- ^ Taylor, Kathryn C. (March 2005). "Peach Orchard Establishment and Young Tree Care". pubs.caes.uga.edu. University of Georgia. Archived from the original on 24 December 2008. Retrieved 26 May 2008.
- ^ "After Freeze, Counting Losses to Orange Crop". The New York Times. Associated Press. 14 January 1991. Archived from the original on 15 June 2018. Retrieved 26 May 2008.
- ^ "FUTURES/OPTIONS; Cold Weather Brings Surge In Prices of Heating Fuels". The New York Times. Reuters. 26 February 1993. Archived from the original on 15 June 2018. Retrieved 25 May 2008.
- ^ "Heatwave causes electricity surge". BBC News. 25 July 2006. Archived from the original on 20 May 2009. Retrieved 25 May 2008.
- ^ "The seven key messages of the Energy Drill program" (PDF). tcdsb.org/environment/energydrill. Toronto Catholic District School Board. Archived from the original (PDF) on 17 February 2012. Retrieved 25 May 2008.
- ^ Wragg, David W. (1973). A Dictionary of Aviation (first ed.). Osprey. p. 190. ISBN 9780850451634.
- ^ An international version called the Aeronautical Information Publication contains parallel information, as well as specific information on the international airports for use by the international community.
- ^ "Aeronautical Information Manual, Section 1. Meteorology: 7-1-21. PIREPs Relating to Airframe Icing". AIM Online. Federal Aviation Administration, Dept. of Transportation. 16 July 2020. Archived from the original on 21 June 2020. Retrieved 17 August 2020.
- ^ Agricultural and Forest Meteorology Archived 6 June 2011 at the Wayback Machine, Elsevier, ISSN 0168-1923.
- ^ Encyclopædia Britannica Archived 19 June 2008 at the Wayback Machine, 2007.
- ^ About the HPC Archived 20 August 2023 at the Wayback Machine, NOAA/ National Weather Service, National Centers for Environmental Prediction, Hydrometeorological Prediction Center Archived 20 May 2021 at the Wayback Machine, Camp Springs, Maryland, 2007.
- ^ "Home". Archived from the original on 6 August 2015. Retrieved 16 June 2015.
- ^ DRIHM News, number 1, March 2012, p2 Archived 4 September 2015 at the Wayback Machine "An ideal environment for hydro-meteorology research at the European level"
- ^ Tsitskishvili, M. S.; Trusov, A. G. (February 1974). "Modern research in nuclear meteorology". Atomic Energy. 36 (2): 197–198. doi:10.1007/BF01117823. S2CID 96128061.
Further reading
- Byers, Horace. General Meteorology. New York: McGraw-Hill, 1994.
- Garret, J.R. (1992) [1992]. The atmospheric boundary layer. Cambridge University Press. ISBN 978-0-521-38052-2.
- Glossary of Meteorology. American Meteorological Society (2nd ed.). Allen Press. 2000. Archived from the original on 21 May 2006. Retrieved 13 October 2004.
{{cite book}}
: CS1 maint: others (link) - Bluestein, H (1992) [1992]. Synoptic-Dynamic Meteorology in Midlatitudes: Principles of Kinematics and Dynamics, Vol. 1. Oxford University Press. ISBN 978-0-19-506267-0.
- Bluestein, H (1993) [1993]. Synoptic-Dynamic Meteorology in Midlatitudes: Volume II: Observations and Theory of Weather Systems. Oxford University Press. ISBN 978-0-19-506268-7.
- Reynolds, R (2005) [2005]. Guide to Weather. Buffalo, New York: Firefly Books Inc. p. 208. ISBN 978-1-55407-110-4.
- Holton, J.R. (2004) [2004]. An Introduction to Dynamic Meteorology (4th ed.). Burlington, Md: Elsevier Inc. ISBN 978-0-12-354015-7. Archived from the original on 19 July 2013. Retrieved 21 May 2017.
- Roulstone, Ian & Norbury, John (2013). Invisible in the Storm: the role of mathematics in understanding weather. Princeton University Press. ISBN 978-0691152721.
Dictionaries and encyclopedias
- Glickman, Todd S. (June 2000). Meteorology Glossary (electronic) (2nd ed.). Cambridge, Massachusetts: American Meteorological Society. Archived from the original on 10 March 2014. Retrieved 10 March 2014.
- Gustavo Herrera, Roberto; García-Herrera, Ricardo; Prieto, Luis; Gallego, David; Hernández, Emiliano; Gimeno, Luis; Können, Gunther; Koek, Frits; Wheeler, Dennis; Wilkinson, Clive; Del Rosario Prieto, Maria; Báez, Carlos; Woodruff, Scott. A Dictionary of Nautical Meteorological Terms: CLIWOC Multilingual Dictionary of Meteorological Terms; An English/Spanish/French/Dutch Dictionary of Windforce Terms Used by Mariners from 1750 to 1850 (PDF). CLIWOC. Archived from the original (PDF) on 21 April 2021. Retrieved 13 April 2014.
- "Meteorology Encyclopedia". Central Weather Bureau. 6 December 2018. Archived from the original on 21 September 2014. Retrieved 14 September 2014.
History
- Lawrence-Mathers, Anne (2020). Medieval Meteorology: Forecasting the Weather from Aristotle to the Almanac. Cambridge: Cambridge University Press. Bibcode:2020mmfw.book.....L. doi:10.1017/9781108289948. ISBN 978-1-108-40600-0. S2CID 211658964.
External links
Please see weather forecasting for weather forecast sites.
- Air Quality Meteorology Archived 25 July 2009 at the Wayback Machine – Online course that introduces the basic concepts of meteorology and air quality necessary to understand meteorological computer models. Written at a bachelor's degree level.
- The GLOBE Program Archived 11 May 2023 at the Wayback Machine – (Global Learning and Observations to Benefit the Environment) An international environmental science and education program that links students, teachers, and the scientific research community in an effort to learn more about the environment through student data collection and observation.
- Glossary of Meteorology Archived 13 May 2023 at the Wayback Machine – From the American Meteorological Society, an excellent reference of nomenclature, equations, and concepts for the more advanced reader.
- JetStream – An Online School for Weather Archived 11 May 2023 at the Wayback Machine – National Weather Service
- Learn About Meteorology Archived 11 July 2006 at the Wayback Machine – Australian Bureau of Meteorology
- The Weather Guide Archived 24 February 2017 at the Wayback Machine – Weather Tutorials and News at About.com
- Meteorology Education and Training (MetEd) Archived 11 May 2023 at the Wayback Machine – The COMET Program
- NOAA Central Library – National Oceanic & Atmospheric Administration
- The World Weather 2010 Project Archived 19 August 2008 at the Wayback Machine The University of Illinois at Urbana–Champaign
- Ogimet – online data from meteorological stations of the world, obtained through NOAA free services Archived 24 July 2009 at the Wayback Machine
- National Center for Atmospheric Research Archives, documents the history of meteorology
- Weather forecasting and Climate science Archived 14 August 2011 at the Wayback Machine – United Kingdom Meteorological Office
- Meteorology Archived 29 January 2018 at the Wayback Machine, BBC Radio 4 discussion with Vladimir Janković, Richard Hambyn and Iba Taub (In Our Time, 6 March 2003)
- Virtual exhibition about meteorology Archived 24 November 2020 at the Wayback Machine on the digital library of Paris Observatory