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Weather forecasting

March 28, 2023

Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time. People have attempted to predict the weather informally for millennia and formally since the 19th century.

Forecast of surface pressures five days into the future for the North Pacific, North America, and the North Atlantic Ocean

Weather forecasts are made by collecting quantitative data about the current state of the atmosphere, land, and ocean and using meteorology to project how the atmosphere will change at a given place.

Once calculated manually based mainly upon changes in barometric pressure, current weather conditions, and sky condition or cloud cover, weather forecasting now relies on computer-based models that take many atmospheric factors into account.[1] Human input is still required to pick the best possible model to base the forecast upon, which involves pattern recognition skills, teleconnections, knowledge of model performance, and knowledge of model biases.

The inaccuracy of forecasting is due to the chaotic nature of the atmosphere, the massive computational power required to solve the equations that describe the atmosphere, the land, and the ocean, the error involved in measuring the initial conditions, and an incomplete understanding of atmospheric and related processes. Hence, forecasts become less accurate as the difference between 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 helps narrow the error and provide confidence in the forecast.

There is a vast variety of end uses for weather forecasts. Weather warnings are important because they are used to protect life and property. Forecasts based on temperature and precipitation are important to agriculture, and therefore to traders within commodity markets. Temperature forecasts are used by utility companies to estimate demand over coming days.

On an everyday basis, many people use weather forecasts to determine what to wear on a given day. 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.

Weather forecasting is a part of the economy. For example in 2009, the US spent approximately $5.1 billion on it, producing benefits estimated at six times as much.[2]

History

Main article: Timeline of meteorology

Ancient forecasting

For millennia, people have tried to forecast the weather. In 650 BC, the Babylonians predicted the weather from cloud patterns as well as astrology. In about 350 BC, Aristotle described weather patterns in Meteorologica.[3] Later, Theophrastus compiled a book on weather forecasting, called the Book of Signs.[4] Chinese weather prediction lore extends at least as far back as 300 BC,[5] which was also around the same time ancient Indian astronomers developed weather-prediction methods.[6] In New Testament times, Jesus himself referred to deciphering and understanding local weather patterns, by saying, "When evening comes, you say, 'It will be fair weather, for the sky is red', and in the morning, 'Today it will be stormy, for the sky is red and overcast.' You know how to interpret the appearance of the sky, but you cannot interpret the signs of the times."[7]

In 904 AD, Ibn Wahshiyya's Nabatean Agriculture, translated into Arabic from an earlier Aramaic work,[8] discussed the weather forecasting of atmospheric changes and signs from the planetary astral alterations; signs of rain based on observation of the lunar phases; and weather forecasts based on the movement of winds.[9]

Ancient weather forecasting methods usually relied on observed patterns of events, also termed pattern recognition. For example, it was observed that if the sunset was particularly red, the following day often brought fair weather. This experience accumulated over the generations to produce weather lore. However, not all[which?] of these predictions prove reliable, and many of them have since been found not to stand up to rigorous statistical testing.[10]

Modern methods

 
The Royal Charter sank in an October 1859 storm, stimulating the establishment of modern weather forecasting.

It was not until the invention of the electric telegraph in 1835 that the modern age of weather forecasting began.[11] Before that, the fastest that distant weather reports could travel was around 160 kilometres per day (100 mi/d), but was more typically 60–120 kilometres per day (40–75 mi/day) (whether by land or by sea).[12][13] By the late 1840s, the telegraph allowed reports of weather conditions from a wide area to be received almost instantaneously,[14] allowing forecasts to be made from knowledge of weather conditions further upwind.

The two men credited with the birth of forecasting as a science were an officer of the Royal Navy Francis Beaufort and his protégé Robert FitzRoy. Both were influential men in British naval and governmental circles, and though ridiculed in the press at the time, their work gained scientific credence, was accepted by the Royal Navy, and formed the basis for all of today's weather forecasting knowledge.[15][16]

Beaufort developed the Wind Force Scale and Weather Notation coding, which he was to use in his journals for the remainder of his life. He also promoted the development of reliable tide tables around British shores, and with his friend William Whewell, expanded weather record-keeping at 200 British coast guard stations.

Robert FitzRoy was appointed in 1854 as chief of a new department within the Board of Trade to deal with the collection of weather data at sea as a service to mariners. This was the forerunner of the modern Meteorological Office.[16] All ship captains were tasked with collating data on the weather and computing it, with the use of tested instruments that were loaned for this purpose.[17]

 
Weather map of Europe, December 10, 1887

A storm in October 1859 that caused the loss of the Royal Charter inspired FitzRoy to develop charts to allow predictions to be made, which he called "forecasting the weather", thus coining the term "weather forecast".[17] Fifteen land stations were established to use the telegraph to transmit to him daily reports of weather at set times leading to the first gale warning service. His warning service for shipping was initiated in February 1861, with the use of telegraph communications. The first daily weather forecasts were published in The Times in 1861.[16] In the following year a system was introduced of hoisting storm warning cones at the principal ports when a gale was expected.[18] The "Weather Book" which FitzRoy published in 1863 was far in advance of the scientific opinion of the time.

As the electric telegraph network expanded, allowing for the more rapid dissemination of warnings, a national observational network was developed, which could then be used to provide synoptic analyses. Instruments to continuously record variations in meteorological parameters using photography were supplied to the observing stations from Kew Observatory – these cameras had been invented by Francis Ronalds in 1845 and his barograph had earlier been used by FitzRoy.[19][20]

To convey accurate information, it soon became necessary to have a standard vocabulary describing clouds; this was achieved by means of a series of classifications first achieved by Luke Howard in 1802, and standardized in the International Cloud Atlas of 1896.

Numerical prediction

Main article: History of numerical weather prediction

It was not until the 20th century that advances in the understanding of atmospheric physics led to the foundation of modern numerical weather prediction. In 1922, English scientist Lewis Fry Richardson published "Weather Prediction By Numerical Process",[21] after finding notes and derivations he worked on as an ambulance driver in World War I. He described therein how small terms in the prognostic fluid dynamics equations governing atmospheric flow could be neglected, and a finite differencing scheme in time and space could be devised, to allow numerical prediction solutions to be found.

Richardson envisioned a large auditorium of thousands of people performing the calculations and passing them to others. However, the sheer number of calculations required was too large to be completed without the use of computers, and the size of the grid and time steps led to unrealistic results in deepening systems. It was later found, through numerical analysis, that this was due to numerical instability.[22] The first computerised weather forecast was performed by a team composed of American meteorologists Jule Charney, Philip Duncan Thompson, Larry Gates, and Norwegian meteorologist Ragnar Fjørtoft, applied mathematician John von Neumann, and ENIAC programmer Klara Dan von Neumann.[23][24][25] Practical use of numerical weather prediction began in 1955,[26] spurred by the development of programmable electronic computers.

Broadcasts

See also: Weather presenter

The first ever daily weather forecasts were published in The Times on August 1, 1861, and the first weather maps were produced later in the same year.[27] In 1911, the Met Office began issuing the first marine weather forecasts via radio transmission. These included gale and storm warnings for areas around Great Britain.[28] In the United States, the first public radio forecasts were made in 1925 by Edward B. "E.B." Rideout, on WEEI, the Edison Electric Illuminating station in Boston.[29] Rideout came from the U.S. Weather Bureau, as did WBZ weather forecaster G. Harold Noyes in 1931.

 
BBC television weather chart for November 13, 1936

The world's first televised weather forecasts, including the use of weather maps, were experimentally broadcast by the BBC in November 1936.[30] This was brought into practice in 1949, after World War II.[30] George Cowling gave the first weather forecast while being televised in front of the map in 1954.[31][32] In America, experimental television forecasts were made by James C. Fidler in Cincinnati in either 1940 or 1947[clarification needed] on the DuMont Television Network.[29][33] In the late 1970s and early 80s, John Coleman, the first weatherman on ABC-TV's Good Morning America, pioneered the use of on-screen weather satellite information and computer graphics for television forecasts.[34] Coleman was a co-founder of The Weather Channel (TWC) in 1982. TWC is now a 24-hour cable network. Some weather channels have started broadcasting on live broadcasting programs such as YouTube and Periscope to reach more viewers.

How models create forecasts

 
An example of 500 mbar geopotential height and absolute vorticity prediction from a numerical weather prediction model
Main article: Numerical weather prediction

The basic idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future. The main inputs from country-based weather services are surface observations from automated weather stations at ground level over land and from weather buoys at sea. The World Meteorological Organization acts to standardize the instrumentation, observing practices and timing of these observations worldwide. Stations either report hourly in METAR reports,[35] or every six hours in SYNOP reports.[36] Sites launch radiosondes, which rise through the depth of the troposphere and well into the stratosphere.[37] Data from weather satellites are used in areas where traditional data sources are not available.[38][39][40] Compared with similar data from radiosondes, the satellite data has the advantage of global coverage, but at a lower accuracy and resolution.[41] Meteorological radar provide information on precipitation location and intensity, which can be used to estimate precipitation accumulations over time.[42] Additionally, if a pulse Doppler weather radar is used then wind speed and direction can be determined.[43] These methods, however, leave an in-situ observational gap in the lower atmosphere (from 100 m to 6 km above ground level). To reduce this gap, in the late 1990s weather drones started to be considered for obtaining data from those altitudes. Research has been growing significantly since the 2010s, and weather-drone data may in future be added to numerical weather models.[44][45]

 
Modern weather predictions aid in timely evacuations and potentially save lives and prevent property damage

Commerce provides pilot reports along aircraft routes,[46] and ship reports along shipping routes. Research flights using reconnaissance aircraft fly in and around weather systems of interest such as tropical cyclones.[47][48] Reconnaissance aircraft are also flown over the open oceans during the cold season into systems that cause significant uncertainty in forecast guidance, or are expected to be of high impact 3–7 days into the future over the downstream continent.[49]

Models are initialized using this observed data. The irregularly spaced observations are processed by data assimilation and objective analysis methods, which perform quality control and obtain values at locations usable by the model's mathematical algorithms (usually an evenly spaced grid). The data are then used in the model as the starting point for a forecast.[50] Commonly, the set of equations used to predict the physics and dynamics of the atmosphere are called primitive equations. These are initialized from the analysis data and rates of change are determined. The rates of change predict the state of the atmosphere a short time into the future. The equations are then applied to this new atmospheric state to find new rates of change, which predict the atmosphere at a yet further time into the future. This time stepping procedure is continually repeated until the solution reaches the desired forecast time.

The length of the time step chosen within the model is related to the distance between the points on the computational grid, and is chosen to maintain numerical stability.[51] Time steps for global models are on the order of tens of minutes,[52] while time steps for regional models are between one and four minutes.[53] The global models are run at varying times into the future. The Met Office's Unified Model is run six days into the future,[54] the European Centre for Medium-Range Weather Forecasts model is run out to 10 days into the future,[55] while the Global Forecast System model run by the Environmental Modeling Center is run 16 days into the future.[56] The visual output produced by a model solution is known as a prognostic chart, or prog.[57] The raw output is often modified before being presented as the forecast. This can be in the form of statistical techniques to remove known biases in the model, or of adjustment to take into account consensus among other numerical weather forecasts.[58] MOS or model output statistics is a technique used to interpret numerical model output and produce site-specific guidance. This guidance is presented in coded numerical form, and can be obtained for nearly all National Weather Service reporting stations in the United States. As proposed by Edward Lorenz in 1963, long range forecasts, those made at a range of two weeks or more cannot definitively predict the state of the atmosphere, owing to the chaotic nature of the fluid dynamics equations involved. In numerical models, extremely small errors in initial values double roughly every five days for variables such as temperature and wind velocity.[59]

Essentially, a model is a computer program that produces meteorological information for future times at given locations and altitudes. Within any modern model is a set of equations, known as the primitive equations, used to predict the future state of the atmosphere.[60] These equations—along with the ideal gas law—are used to evolve the density, pressure, and potential temperature scalar fields and the velocity vector field of the atmosphere through time. Additional transport equations for pollutants and other aerosols are included in some primitive-equation mesoscale models as well.[61] The equations used are nonlinear partial differential equations, which are impossible to solve exactly through analytical methods,[62] with the exception of a few idealized cases.[63] Therefore, numerical methods obtain approximate solutions. Different models use different solution methods: some global models use spectral methods for the horizontal dimensions and finite difference methods for the vertical dimension, while regional and other global models usually use finite-difference methods in all three dimensions.[62]

Techniques

Persistence

The simplest method of forecasting the weather, persistence, relies upon today's conditions to forecast tomorrow's. This can be a valid way of forecasting the weather when it is in a steady state, such as during the summer season in the tropics. This method strongly depends upon the presence of a stagnant weather pattern. Therefore, when in a fluctuating pattern, it becomes inaccurate. It can be useful in both short- and long-range forecast|long range forecasts.[64]

Use of a barometer

Measurements of barometric pressure and the pressure tendency (the change of pressure over time) have been used in forecasting since the late 19th century.[65] The larger the change in pressure, especially if more than 3.5 hPa (2.6 mmHg), the larger the change in weather can be expected. If the pressure drop is rapid, a low pressure system is approaching, and there is a greater chance of rain. Rapid pressure rises are associated with improving weather conditions, such as clearing skies.[66]

Looking at the sky

 
Marestail shows moisture at high altitude, signalling the later arrival of wet weather.

Along with pressure tendency, the condition of the sky is one of the more important parameters used to forecast weather in mountainous areas. Thickening of cloud cover or the invasion of a higher cloud deck is indicative of rain in the near future. High thin cirrostratus clouds can create halos around the sun or moon, which indicates an approach of a warm front and its associated rain.[67] Morning fog portends fair conditions, as rainy conditions are preceded by wind or clouds that prevent fog formation. The approach of a line of thunderstorms could indicate the approach of a cold front. Cloud-free skies are indicative of fair weather for the near future.[68] A bar can indicate a coming tropical cyclone. The use of sky cover in weather prediction has led to various weather lore over the centuries.[10]

Nowcasting

Main article: Nowcasting (meteorology)

The forecasting of the weather within the next six hours is often referred to as nowcasting.[69] In this time range it is possible to forecast smaller features such as individual showers and thunderstorms with reasonable accuracy, as well as other features too small to be resolved by a computer model. A human given the latest radar, satellite and observational data will be able to make a better analysis of the small scale features present and so will be able to make a more accurate forecast for the following few hours.[70] However, there are now expert systems using those data and mesoscale numerical model to make better extrapolation, including evolution of those features in time. Accuweather is known for a Minute-Cast, which is a minute-by-minute precipitation forecast for the next two hours.

Use of forecast models

 
An example of 500 mbar geopotential height prediction from a numerical weather prediction model

In the past, the human forecaster was responsible for generating the entire weather forecast based upon available observations.[71] Today, human input is generally confined to choosing a model based on various parameters, such as model biases and performance.[72] Using a consensus of forecast models, as well as ensemble members of the various models, can help reduce forecast error.[73] However, regardless how small the average error becomes with any individual system, large errors within any particular piece of guidance are still possible on any given model run.[74] Humans are required to interpret the model data into weather forecasts that are understandable to the end user. Humans can use knowledge of local effects that may be too small in size to be resolved by the model to add information to the forecast. While increasing accuracy of forecast models implies that humans may no longer be needed in the forecast process at some point in the future, there is currently still a need for human intervention.[75]

Analog technique

The analog technique is a complex way of making a forecast, requiring the forecaster to remember a previous weather event that is expected to be mimicked by an upcoming event. What makes it a difficult technique to use is that there is rarely a perfect analog for an event in the future.[76] Some call this type of forecasting pattern recognition. It remains a useful method of observing rainfall over data voids such as oceans,[77] as well as the forecasting of precipitation amounts and distribution in the future. A similar technique is used in medium range forecasting, which is known as teleconnections, when systems in other locations are used to help pin down the location of another system within the surrounding regime.[78] An example of teleconnections are by using El Niño-Southern Oscillation (ENSO) related phenomena.[79]

Communicating forecasts to the public

 
An example of a two-day weather forecast in the visual style that an American newspaper might use. Temperatures are given in Fahrenheit.

Most end users of forecasts are members of the general public. Thunderstorms can create strong winds and dangerous lightning strikes that can lead to deaths, power outages,[80] and widespread hail damage. Heavy snow or rain can bring transportation and commerce to a stand-still,[81] as well as cause flooding in low-lying areas.[82] Excessive heat or cold waves can sicken or kill those with inadequate utilities, and droughts can impact water usage and destroy vegetation.

Several countries employ government agencies to provide forecasts and watches/warnings/advisories to the public to protect life and property and maintain commercial interests. Knowledge of what the end user needs from a weather forecast must be taken into account to present the information in a useful and understandable way. Examples include the National Oceanic and Atmospheric Administration's National Weather Service (NWS)[83] and Environment Canada's Meteorological Service (MSC).[84] Traditionally, newspaper, television, and radio have been the primary outlets for presenting weather forecast information to the public. In addition, some cities had weather beacons. Increasingly, the internet is being used due to the vast amount of specific information that can be found.[85] In all cases, these outlets update their forecasts on a regular basis.

Severe weather alerts and advisories

A major part of modern weather forecasting is the severe weather alerts and advisories that the national weather services issue in the case that severe or hazardous weather is expected. This is done to protect life and property.[86] Some of the most commonly known of severe weather advisories are the severe thunderstorm and tornado warning, as well as the severe thunderstorm and tornado watch. Other forms of these advisories include winter weather, high wind, flood, tropical cyclone, and fog.[87] Severe weather advisories and alerts are broadcast through the media, including radio, using emergency systems as the Emergency Alert System, which break into regular programming.[88]

Low temperature forecast

The low temperature forecast for the current day is calculated using the lowest temperature found between 7 pm that evening through 7 am the following morning.[89] So, in short, today's forecasted low is most likely tomorrow's low temperature.

Specialist forecasting

There are a number of sectors with their own specific needs for weather forecasts and specialist services are provided to these users as given below:

Air traffic

 
Ash cloud from the 2008 eruption of Chaitén volcano stretching across Patagonia from the Pacific to the Atlantic Ocean
See also: Terminal aerodrome forecast

Because the aviation industry is especially sensitive to the weather, accurate weather forecasting is essential. Fog or exceptionally low ceilings can prevent many aircraft from landing and taking off.[90] Turbulence and icing are also significant in-flight hazards.[91] Thunderstorms are a problem for all aircraft because of severe turbulence due to their updrafts and outflow boundaries,[92] icing due to the heavy precipitation, as well as large hail, strong winds, and lightning, all of which can cause severe damage to an aircraft in flight.[93] Volcanic ash is also a significant problem for aviation, as aircraft can lose engine power within ash clouds.[94] On a day-to-day basis airliners are routed to take advantage of the jet stream tailwind to improve fuel efficiency.[95] Aircrews are briefed prior to takeoff on the conditions to expect en route and at their destination.[96] Additionally, airports often change which runway is being used to take advantage of a headwind. This reduces the distance required for takeoff, and eliminates potential crosswinds.[97]

Marine

See also: Marine weather forecasting

Commercial and recreational use of waterways can be limited significantly by wind direction and speed, wave periodicity and heights, tides, and precipitation. These factors can each influence the safety of marine transit. Consequently, a variety of codes have been established to efficiently transmit detailed marine weather forecasts to vessel pilots via radio, for example the MAFOR (marine forecast).[98] Typical weather forecasts can be received at sea through the use of RTTY, Navtex and Radiofax.

Agriculture

Farmers rely on weather forecasts to decide what work to do on any particular day. For example, drying hay is only feasible in dry weather. Prolonged periods of dryness can ruin cotton, wheat,[99] and corn crops. While corn crops can be ruined by drought, their dried remains can be used as a cattle feed substitute in the form of silage.[100] Frosts and freezes play havoc with crops both during the spring and fall. For example, peach trees in full bloom can have their potential peach crop decimated by a spring freeze.[101] Orange groves can suffer significant damage during frosts and freezes, regardless of their timing.[102]

Forestry

Forecasting of wind, precipitation and humidity is essential for preventing and controlling wildfires. Indices such as the Forest fire weather index and the Haines Index, have been developed to predict the areas more at risk of fire from natural or human causes. Conditions for the development of harmful insects can also be predicted by forecasting the weather.

Utility companies

 
An air handling unit is used for the heating and cooling of air in a central location (click on image for legend).
Main article: Degree day

Electricity and gas companies rely on weather forecasts to anticipate demand, which can be strongly affected by the weather. They use the quantity termed the degree day to determine how strong of a use there will be for heating (heating degree day) or cooling (cooling degree day). These quantities are based on a daily average temperature of 65 °F (18 °C). Cooler temperatures force heating degree days (one per degree Fahrenheit), while warmer temperatures force cooling degree days.[103] In winter, severe cold weather can cause a surge in demand as people turn up their heating.[104] Similarly, in summer a surge in demand can be linked with the increased use of air conditioning systems in hot weather.[105] By anticipating a surge in demand, utility companies can purchase additional supplies of power or natural gas before the price increases, or in some circumstances, supplies are restricted through the use of brownouts and blackouts.[106]

Other commercial companies

Increasingly, private companies pay for weather forecasts tailored to their needs so that they can increase their profits or avoid large losses.[107] For example, supermarket chains may change the stocks on their shelves in anticipation of different consumer spending habits in different weather conditions. Weather forecasts can be used to invest in the commodity market, such as futures in oranges, corn, soybeans, and oil.[108]

Military applications

United Kingdom Armed Forces

Royal Navy

The UK Royal Navy, working with the UK Met Office, has its own specialist branch of weather observers and forecasters, as part of the Hydrographic and Meteorological (HM) specialisation, who monitor and forecast operational conditions across the globe, to provide accurate and timely weather and oceanographic information to submarines, ships and Fleet Air Arm aircraft.

Royal Air Force

A mobile unit in the RAF, working with the UK Met Office, forecasts the weather for regions in which British, allied servicemen and women are deployed. A group based at Camp Bastion provides forecasts for the British armed forces in Afghanistan.[109]

United States Armed Forces

US Navy

 
Emblem of JTWC Joint Typhoon Warning Center

Similar to the private sector, military weather forecasters present weather conditions to the war fighter community. Military weather forecasters provide pre-flight and in-flight weather briefs to pilots and provide real time resource protection services for military installations. Naval forecasters cover the waters and ship weather forecasts. The United States Navy provides a special service to both themselves and the rest of the federal government by issuing forecasts for tropical cyclones across the Pacific and Indian Oceans through their Joint Typhoon Warning Center.[110]

US Air Force

Within the United States, Air Force Weather provides weather forecasting for the Air Force and the Army. Air Force forecasters cover air operations in both wartime and peacetime operations and provide Army support;[111] United States Coast Guard marine science technicians provide ship forecasts for ice breakers and other various operations within their realm;[112] and Marine forecasters provide support for ground- and air-based United States Marine Corps operations.[113] All four military branches take their initial enlisted meteorology technical training at Keesler Air Force Base.[114] Military and civilian forecasters actively cooperate in analyzing, creating and critiquing weather forecast products.

See also

 
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Further reading

  • Blum, Andrew (2019). The Weather Machine: A Journey Inside the Forecast. New York: HarperCollins. ISBN 978-0-062-36861-4.
  • Ian Roulstone & John Norbury (2013). Invisible in the Storm: the role of mathematics in understanding weather. Princeton University Press. ISBN 978-0691152721.

External links

 
Wikimedia Commons has media related to Weather forecasting.

Meteorological agencies

These are academic or governmental meteorology organizations. Most provide at least a limited forecast for their area of interest on their website.

  • The World Meteorological Organization
  • European Centre for Medium Range Weather Forecasting (ECMWF)
  • European Meteorological Satellites
  • Australian Bureau of Meteorology
  • Royal Meteorological Institute of Belgium
  • Environment Canada Weather Office April 29, 2005, at the Wayback Machine
  • French National Meteorological Service May 14, 2008, at the Wayback Machine
  • Indian Meteorological Department (IMD)
  • Indian Institute of Tropical Meteorology (IITM) May 21, 2021, at the Wayback Machine
  • The Hellenic National Meteorological Service (Greece)
  • Hong Kong Observatory
  • Met Éireann (Ireland)
  • Italian Air Force (Aeronautica Militare) Meteorological Service
  • Korea Meteorological Administration
  • New Zealand MetService
  • Meteo Suisse (Swiss Weather Agency) (in English)
  • The Met Office of the UK
  • yr.no (a joint online weather service from the Norwegian Meteorological Institute (met.no) and the Norwegian Broadcasting Corporation (NRK)) December 16, 2008, at the Wayback Machine
  • (in Spanish)
  • (in Spanish)
  • based on Academa Application server and WebMet
  • Centro de Previsão de Tempo e Estudos Climáticos at INPE (Brazil)
  • National Weather Service United States of America
  • （China）
  • The Israel Meteorological Service (IMS)

Other external links

  • from EH.net
  • Iowa State University's online educational tool for weather forecasting
  • "World Weather News by Radio" Popular Mechanics, January 1930, pp. 50–55, article on international weather report systems set up after World War One, using wireless broadcasting from various stations and ships worldwide
  • New Technology Allows Better Extreme Weather Forecasts; New technology that increases the warning time for tornadoes and hurricanes could potentially save hundreds of lives every year April 17, 2012
  • Weather Forecasting Through the Ages
  • Meteorology – A brief history
  • History of meteorology

March 28, 2023
weather, forecasting, application, science, technology, predict, conditions, atmosphere, given, location, time, people, have, attempted, predict, weather, informally, millennia, formally, since, 19th, century, forecast, surface, pressures, five, days, into, fu. Weather forecasting is the application of science and technology to predict the conditions of the atmosphere for a given location and time People have attempted to predict the weather informally for millennia and formally since the 19th century Forecast of surface pressures five days into the future for the North Pacific North America and the North Atlantic Ocean Weather forecasts are made by collecting quantitative data about the current state of the atmosphere land and ocean and using meteorology to project how the atmosphere will change at a given place Once calculated manually based mainly upon changes in barometric pressure current weather conditions and sky condition or cloud cover weather forecasting now relies on computer based models that take many atmospheric factors into account 1 Human input is still required to pick the best possible model to base the forecast upon which involves pattern recognition skills teleconnections knowledge of model performance and knowledge of model biases The inaccuracy of forecasting is due to the chaotic nature of the atmosphere the massive computational power required to solve the equations that describe the atmosphere the land and the ocean the error involved in measuring the initial conditions and an incomplete understanding of atmospheric and related processes Hence forecasts become less accurate as the difference between 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 helps narrow the error and provide confidence in the forecast There is a vast variety of end uses for weather forecasts Weather warnings are important because they are used to protect life and property Forecasts based on temperature and precipitation are important to agriculture and therefore to traders within commodity markets Temperature forecasts are used by utility companies to estimate demand over coming days On an everyday basis many people use weather forecasts to determine what to wear on a given day 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 Weather forecasting is a part of the economy For example in 2009 the US spent approximately 5 1 billion on it producing benefits estimated at six times as much 2 Contents 1 History 1 1 Ancient forecasting 1 2 Modern methods 1 3 Numerical prediction 1 4 Broadcasts 2 How models create forecasts 3 Techniques 3 1 Persistence 3 2 Use of a barometer 3 3 Looking at the sky 3 4 Nowcasting 3 5 Use of forecast models 3 6 Analog technique 4 Communicating forecasts to the public 4 1 Severe weather alerts and advisories 4 2 Low temperature forecast 5 Specialist forecasting 5 1 Air traffic 5 2 Marine 5 3 Agriculture 5 4 Forestry 5 5 Utility companies 5 6 Other commercial companies 5 7 Military applications 5 7 1 United Kingdom Armed Forces 5 7 2 Royal Air Force 5 7 3 United States Armed Forces 5 7 4 US Navy 5 7 5 US Air Force 6 See also 7 References 8 Further reading 9 External links 9 1 Meteorological agencies 9 2 Other external linksHistory EditMain article Timeline of meteorology Ancient forecasting Edit For millennia people have tried to forecast the weather In 650 BC the Babylonians predicted the weather from cloud patterns as well as astrology In about 350 BC Aristotle described weather patterns in Meteorologica 3 Later Theophrastus compiled a book on weather forecasting called the Book of Signs 4 Chinese weather prediction lore extends at least as far back as 300 BC 5 which was also around the same time ancient Indian astronomers developed weather prediction methods 6 In New Testament times Jesus himself referred to deciphering and understanding local weather patterns by saying When evening comes you say It will be fair weather for the sky is red and in the morning Today it will be stormy for the sky is red and overcast You know how to interpret the appearance of the sky but you cannot interpret the signs of the times 7 In 904 AD Ibn Wahshiyya s Nabatean Agriculture translated into Arabic from an earlier Aramaic work 8 discussed the weather forecasting of atmospheric changes and signs from the planetary astral alterations signs of rain based on observation of the lunar phases and weather forecasts based on the movement of winds 9 Ancient weather forecasting methods usually relied on observed patterns of events also termed pattern recognition For example it was observed that if the sunset was particularly red the following day often brought fair weather This experience accumulated over the generations to produce weather lore However not all which of these predictions prove reliable and many of them have since been found not to stand up to rigorous statistical testing 10 Modern methods Edit The Royal Charter sank in an October 1859 storm stimulating the establishment of modern weather forecasting It was not until the invention of the electric telegraph in 1835 that the modern age of weather forecasting began 11 Before that the fastest that distant weather reports could travel was around 160 kilometres per day 100 mi d but was more typically 60 120 kilometres per day 40 75 mi day whether by land or by sea 12 13 By the late 1840s the telegraph allowed reports of weather conditions from a wide area to be received almost instantaneously 14 allowing forecasts to be made from knowledge of weather conditions further upwind The two men credited with the birth of forecasting as a science were an officer of the Royal Navy Francis Beaufort and his protege Robert FitzRoy Both were influential men in British naval and governmental circles and though ridiculed in the press at the time their work gained scientific credence was accepted by the Royal Navy and formed the basis for all of today s weather forecasting knowledge 15 16 Beaufort developed the Wind Force Scale and Weather Notation coding which he was to use in his journals for the remainder of his life He also promoted the development of reliable tide tables around British shores and with his friend William Whewell expanded weather record keeping at 200 British coast guard stations Robert FitzRoy was appointed in 1854 as chief of a new department within the Board of Trade to deal with the collection of weather data at sea as a service to mariners This was the forerunner of the modern Meteorological Office 16 All ship captains were tasked with collating data on the weather and computing it with the use of tested instruments that were loaned for this purpose 17 Weather map of Europe December 10 1887 A storm in October 1859 that caused the loss of the Royal Charter inspired FitzRoy to develop charts to allow predictions to be made which he called forecasting the weather thus coining the term weather forecast 17 Fifteen land stations were established to use the telegraph to transmit to him daily reports of weather at set times leading to the first gale warning service His warning service for shipping was initiated in February 1861 with the use of telegraph communications The first daily weather forecasts were published in The Times in 1861 16 In the following year a system was introduced of hoisting storm warning cones at the principal ports when a gale was expected 18 The Weather Book which FitzRoy published in 1863 was far in advance of the scientific opinion of the time As the electric telegraph network expanded allowing for the more rapid dissemination of warnings a national observational network was developed which could then be used to provide synoptic analyses Instruments to continuously record variations in meteorological parameters using photography were supplied to the observing stations from Kew Observatory these cameras had been invented by Francis Ronalds in 1845 and his barograph had earlier been used by FitzRoy 19 20 To convey accurate information it soon became necessary to have a standard vocabulary describing clouds this was achieved by means of a series of classifications first achieved by Luke Howard in 1802 and standardized in the International Cloud Atlas of 1896 Numerical prediction Edit Main article History of numerical weather prediction It was not until the 20th century that advances in the understanding of atmospheric physics led to the foundation of modern numerical weather prediction In 1922 English scientist Lewis Fry Richardson published Weather Prediction By Numerical Process 21 after finding notes and derivations he worked on as an ambulance driver in World War I He described therein how small terms in the prognostic fluid dynamics equations governing atmospheric flow could be neglected and a finite differencing scheme in time and space could be devised to allow numerical prediction solutions to be found Richardson envisioned a large auditorium of thousands of people performing the calculations and passing them to others However the sheer number of calculations required was too large to be completed without the use of computers and the size of the grid and time steps led to unrealistic results in deepening systems It was later found through numerical analysis that this was due to numerical instability 22 The first computerised weather forecast was performed by a team composed of American meteorologists Jule Charney Philip Duncan Thompson Larry Gates and Norwegian meteorologist Ragnar Fjortoft applied mathematician John von Neumann and ENIAC programmer Klara Dan von Neumann 23 24 25 Practical use of numerical weather prediction began in 1955 26 spurred by the development of programmable electronic computers Broadcasts Edit See also Weather presenter The first ever daily weather forecasts were published in The Times on August 1 1861 and the first weather maps were produced later in the same year 27 In 1911 the Met Office began issuing the first marine weather forecasts via radio transmission These included gale and storm warnings for areas around Great Britain 28 In the United States the first public radio forecasts were made in 1925 by Edward B E B Rideout on WEEI the Edison Electric Illuminating station in Boston 29 Rideout came from the U S Weather Bureau as did WBZ weather forecaster G Harold Noyes in 1931 BBC television weather chart for November 13 1936 The world s first televised weather forecasts including the use of weather maps were experimentally broadcast by the BBC in November 1936 30 This was brought into practice in 1949 after World War II 30 George Cowling gave the first weather forecast while being televised in front of the map in 1954 31 32 In America experimental television forecasts were made by James C Fidler in Cincinnati in either 1940 or 1947 clarification needed on the DuMont Television Network 29 33 In the late 1970s and early 80s John Coleman the first weatherman on ABC TV s Good Morning America pioneered the use of on screen weather satellite information and computer graphics for television forecasts 34 Coleman was a co founder of The Weather Channel TWC in 1982 TWC is now a 24 hour cable network Some weather channels have started broadcasting on live broadcasting programs such as YouTube and Periscope to reach more viewers How models create forecasts Edit An example of 500 mbar geopotential height and absolute vorticity prediction from a numerical weather prediction model Main article Numerical weather prediction The basic idea of numerical weather prediction is to sample the state of the fluid at a given time and use the equations of fluid dynamics and thermodynamics to estimate the state of the fluid at some time in the future The main inputs from country based weather services are surface observations from automated weather stations at ground level over land and from weather buoys at sea The World Meteorological Organization acts to standardize the instrumentation observing practices and timing of these observations worldwide Stations either report hourly in METAR reports 35 or every six hours in SYNOP reports 36 Sites launch radiosondes which rise through the depth of the troposphere and well into the stratosphere 37 Data from weather satellites are used in areas where traditional data sources are not available 38 39 40 Compared with similar data from radiosondes the satellite data has the advantage of global coverage but at a lower accuracy and resolution 41 Meteorological radar provide information on precipitation location and intensity which can be used to estimate precipitation accumulations over time 42 Additionally if a pulse Doppler weather radar is used then wind speed and direction can be determined 43 These methods however leave an in situ observational gap in the lower atmosphere from 100 m to 6 km above ground level To reduce this gap in the late 1990s weather drones started to be considered for obtaining data from those altitudes Research has been growing significantly since the 2010s and weather drone data may in future be added to numerical weather models 44 45 Modern weather predictions aid in timely evacuations and potentially save lives and prevent property damage Commerce provides pilot reports along aircraft routes 46 and ship reports along shipping routes Research flights using reconnaissance aircraft fly in and around weather systems of interest such as tropical cyclones 47 48 Reconnaissance aircraft are also flown over the open oceans during the cold season into systems that cause significant uncertainty in forecast guidance or are expected to be of high impact 3 7 days into the future over the downstream continent 49 Models are initialized using this observed data The irregularly spaced observations are processed by data assimilation and objective analysis methods which perform quality control and obtain values at locations usable by the model s mathematical algorithms usually an evenly spaced grid The data are then used in the model as the starting point for a forecast 50 Commonly the set of equations used to predict the physics and dynamics of the atmosphere are called primitive equations These are initialized from the analysis data and rates of change are determined The rates of change predict the state of the atmosphere a short time into the future The equations are then applied to this new atmospheric state to find new rates of change which predict the atmosphere at a yet further time into the future This time stepping procedure is continually repeated until the solution reaches the desired forecast time The length of the time step chosen within the model is related to the distance between the points on the computational grid and is chosen to maintain numerical stability 51 Time steps for global models are on the order of tens of minutes 52 while time steps for regional models are between one and four minutes 53 The global models are run at varying times into the future The Met Office s Unified Model is run six days into the future 54 the European Centre for Medium Range Weather Forecasts model is run out to 10 days into the future 55 while the Global Forecast System model run by the Environmental Modeling Center is run 16 days into the future 56 The visual output produced by a model solution is known as a prognostic chart or prog 57 The raw output is often modified before being presented as the forecast This can be in the form of statistical techniques to remove known biases in the model or of adjustment to take into account consensus among other numerical weather forecasts 58 MOS or model output statistics is a technique used to interpret numerical model output and produce site specific guidance This guidance is presented in coded numerical form and can be obtained for nearly all National Weather Service reporting stations in the United States As proposed by Edward Lorenz in 1963 long range forecasts those made at a range of two weeks or more cannot definitively predict the state of the atmosphere owing to the chaotic nature of the fluid dynamics equations involved In numerical models extremely small errors in initial values double roughly every five days for variables such as temperature and wind velocity 59 Essentially a model is a computer program that produces meteorological information for future times at given locations and altitudes Within any modern model is a set of equations known as the primitive equations used to predict the future state of the atmosphere 60 These equations along with the ideal gas law are used to evolve the density pressure and potential temperature scalar fields and the velocity vector field of the atmosphere through time Additional transport equations for pollutants and other aerosols are included in some primitive equation mesoscale models as well 61 The equations used are nonlinear partial differential equations which are impossible to solve exactly through analytical methods 62 with the exception of a few idealized cases 63 Therefore numerical methods obtain approximate solutions Different models use different solution methods some global models use spectral methods for the horizontal dimensions and finite difference methods for the vertical dimension while regional and other global models usually use finite difference methods in all three dimensions 62 Techniques EditPersistence Edit The simplest method of forecasting the weather persistence relies upon today s conditions to forecast tomorrow s This can be a valid way of forecasting the weather when it is in a steady state such as during the summer season in the tropics This method strongly depends upon the presence of a stagnant weather pattern Therefore when in a fluctuating pattern it becomes inaccurate It can be useful in both short and long range forecast long range forecasts 64 Use of a barometer Edit Measurements of barometric pressure and the pressure tendency the change of pressure over time have been used in forecasting since the late 19th century 65 The larger the change in pressure especially if more than 3 5 hPa 2 6 mmHg the larger the change in weather can be expected If the pressure drop is rapid a low pressure system is approaching and there is a greater chance of rain Rapid pressure rises are associated with improving weather conditions such as clearing skies 66 Looking at the sky Edit Marestail shows moisture at high altitude signalling the later arrival of wet weather Along with pressure tendency the condition of the sky is one of the more important parameters used to forecast weather in mountainous areas Thickening of cloud cover or the invasion of a higher cloud deck is indicative of rain in the near future High thin cirrostratus clouds can create halos around the sun or moon which indicates an approach of a warm front and its associated rain 67 Morning fog portends fair conditions as rainy conditions are preceded by wind or clouds that prevent fog formation The approach of a line of thunderstorms could indicate the approach of a cold front Cloud free skies are indicative of fair weather for the near future 68 A bar can indicate a coming tropical cyclone The use of sky cover in weather prediction has led to various weather lore over the centuries 10 Nowcasting Edit Main article Nowcasting meteorology The forecasting of the weather within the next six hours is often referred to as nowcasting 69 In this time range it is possible to forecast smaller features such as individual showers and thunderstorms with reasonable accuracy as well as other features too small to be resolved by a computer model A human given the latest radar satellite and observational data will be able to make a better analysis of the small scale features present and so will be able to make a more accurate forecast for the following few hours 70 However there are now expert systems using those data and mesoscale numerical model to make better extrapolation including evolution of those features in time Accuweather is known for a Minute Cast which is a minute by minute precipitation forecast for the next two hours Use of forecast models Edit An example of 500 mbar geopotential height prediction from a numerical weather prediction model In the past the human forecaster was responsible for generating the entire weather forecast based upon available observations 71 Today human input is generally confined to choosing a model based on various parameters such as model biases and performance 72 Using a consensus of forecast models as well as ensemble members of the various models can help reduce forecast error 73 However regardless how small the average error becomes with any individual system large errors within any particular piece of guidance are still possible on any given model run 74 Humans are required to interpret the model data into weather forecasts that are understandable to the end user Humans can use knowledge of local effects that may be too small in size to be resolved by the model to add information to the forecast While increasing accuracy of forecast models implies that humans may no longer be needed in the forecast process at some point in the future there is currently still a need for human intervention 75 Analog technique Edit The analog technique is a complex way of making a forecast requiring the forecaster to remember a previous weather event that is expected to be mimicked by an upcoming event What makes it a difficult technique to use is that there is rarely a perfect analog for an event in the future 76 Some call this type of forecasting pattern recognition It remains a useful method of observing rainfall over data voids such as oceans 77 as well as the forecasting of precipitation amounts and distribution in the future A similar technique is used in medium range forecasting which is known as teleconnections when systems in other locations are used to help pin down the location of another system within the surrounding regime 78 An example of teleconnections are by using El Nino Southern Oscillation ENSO related phenomena 79 Communicating forecasts to the public Edit An example of a two day weather forecast in the visual style that an American newspaper might use Temperatures are given in Fahrenheit Most end users of forecasts are members of the general public Thunderstorms can create strong winds and dangerous lightning strikes that can lead to deaths power outages 80 and widespread hail damage Heavy snow or rain can bring transportation and commerce to a stand still 81 as well as cause flooding in low lying areas 82 Excessive heat or cold waves can sicken or kill those with inadequate utilities and droughts can impact water usage and destroy vegetation Several countries employ government agencies to provide forecasts and watches warnings advisories to the public to protect life and property and maintain commercial interests Knowledge of what the end user needs from a weather forecast must be taken into account to present the information in a useful and understandable way Examples include the National Oceanic and Atmospheric Administration s National Weather Service NWS 83 and Environment Canada s Meteorological Service MSC 84 Traditionally newspaper television and radio have been the primary outlets for presenting weather forecast information to the public In addition some cities had weather beacons Increasingly the internet is being used due to the vast amount of specific information that can be found 85 In all cases these outlets update their forecasts on a regular basis Severe weather alerts and advisories Edit A major part of modern weather forecasting is the severe weather alerts and advisories that the national weather services issue in the case that severe or hazardous weather is expected This is done to protect life and property 86 Some of the most commonly known of severe weather advisories are the severe thunderstorm and tornado warning as well as the severe thunderstorm and tornado watch Other forms of these advisories include winter weather high wind flood tropical cyclone and fog 87 Severe weather advisories and alerts are broadcast through the media including radio using emergency systems as the Emergency Alert System which break into regular programming 88 Low temperature forecast Edit The low temperature forecast for the current day is calculated using the lowest temperature found between 7 pm that evening through 7 am the following morning 89 So in short today s forecasted low is most likely tomorrow s low temperature Specialist forecasting EditThere are a number of sectors with their own specific needs for weather forecasts and specialist services are provided to these users as given below Air traffic Edit Ash cloud from the 2008 eruption of Chaiten volcano stretching across Patagonia from the Pacific to the Atlantic Ocean See also Terminal aerodrome forecast Because the aviation industry is especially sensitive to the weather accurate weather forecasting is essential Fog or exceptionally low ceilings can prevent many aircraft from landing and taking off 90 Turbulence and icing are also significant in flight hazards 91 Thunderstorms are a problem for all aircraft because of severe turbulence due to their updrafts and outflow boundaries 92 icing due to the heavy precipitation as well as large hail strong winds and lightning all of which can cause severe damage to an aircraft in flight 93 Volcanic ash is also a significant problem for aviation as aircraft can lose engine power within ash clouds 94 On a day to day basis airliners are routed to take advantage of the jet stream tailwind to improve fuel efficiency 95 Aircrews are briefed prior to takeoff on the conditions to expect en route and at their destination 96 Additionally airports often change which runway is being used to take advantage of a headwind This reduces the distance required for takeoff and eliminates potential crosswinds 97 Marine Edit See also Marine weather forecasting Commercial and recreational use of waterways can be limited significantly by wind direction and speed wave periodicity and heights tides and precipitation These factors can each influence the safety of marine transit Consequently a variety of codes have been established to efficiently transmit detailed marine weather forecasts to vessel pilots via radio for example the MAFOR marine forecast 98 Typical weather forecasts can be received at sea through the use of RTTY Navtex and Radiofax Agriculture Edit Farmers rely on weather forecasts to decide what work to do on any particular day For example drying hay is only feasible in dry weather Prolonged periods of dryness can ruin cotton wheat 99 and corn crops While corn crops can be ruined by drought their dried remains can be used as a cattle feed substitute in the form of silage 100 Frosts and freezes play havoc with crops both during the spring and fall For example peach trees in full bloom can have their potential peach crop decimated by a spring freeze 101 Orange groves can suffer significant damage during frosts and freezes regardless of their timing 102 Forestry Edit Forecasting of wind precipitation and humidity is essential for preventing and controlling wildfires Indices such as the Forest fire weather index and the Haines Index have been developed to predict the areas more at risk of fire from natural or human causes Conditions for the development of harmful insects can also be predicted by forecasting the weather Utility companies Edit An air handling unit is used for the heating and cooling of air in a central location click on image for legend Main article Degree day Electricity and gas companies rely on weather forecasts to anticipate demand which can be strongly affected by the weather They use the quantity termed the degree day to determine how strong of a use there will be for heating heating degree day or cooling cooling degree day These quantities are based on a daily average temperature of 65 F 18 C Cooler temperatures force heating degree days one per degree Fahrenheit while warmer temperatures force cooling degree days 103 In winter severe cold weather can cause a surge in demand as people turn up their heating 104 Similarly in summer a surge in demand can be linked with the increased use of air conditioning systems in hot weather 105 By anticipating a surge in demand utility companies can purchase additional supplies of power or natural gas before the price increases or in some circumstances supplies are restricted through the use of brownouts and blackouts 106 Other commercial companies Edit Increasingly private companies pay for weather forecasts tailored to their needs so that they can increase their profits or avoid large losses 107 For example supermarket chains may change the stocks on their shelves in anticipation of different consumer spending habits in different weather conditions Weather forecasts can be used to invest in the commodity market such as futures in oranges corn soybeans and oil 108 Military applications Edit United Kingdom Armed Forces Edit Royal NavyThe UK Royal Navy working with the UK Met Office has its own specialist branch of weather observers and forecasters as part of the Hydrographic and Meteorological HM specialisation who monitor and forecast operational conditions across the globe to provide accurate and timely weather and oceanographic information to submarines ships and Fleet Air Arm aircraft Royal Air Force Edit A mobile unit in the RAF working with the UK Met Office forecasts the weather for regions in which British allied servicemen and women are deployed A group based at Camp Bastion provides forecasts for the British armed forces in Afghanistan 109 United States Armed Forces Edit US Navy Edit Emblem of JTWC Joint Typhoon Warning Center Similar to the private sector military weather forecasters present weather conditions to the war fighter community Military weather forecasters provide pre flight and in flight weather briefs to pilots and provide real time resource protection services for military installations Naval forecasters cover the waters and ship weather forecasts The United States Navy provides a special service to both themselves and the rest of the federal government by issuing forecasts for tropical cyclones across the Pacific and Indian Oceans through their Joint Typhoon Warning Center 110 US Air Force Edit Within the United States Air Force Weather provides weather forecasting for the Air Force and the Army Air Force forecasters cover air operations in both wartime and peacetime operations and provide Army support 111 United States Coast Guard marine science technicians provide ship forecasts for ice breakers and other various operations within their realm 112 and Marine forecasters provide support for ground and air based United States Marine Corps operations 113 All four military branches take their initial enlisted meteorology technical training at Keesler Air Force Base 114 Military and civilian forecasters actively cooperate in analyzing creating and critiquing weather forecast 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Retrieved May 26 2008 Further reading EditBlum Andrew 2019 The Weather Machine A Journey Inside the Forecast New York HarperCollins ISBN 978 0 062 36861 4 Ian Roulstone amp John Norbury 2013 Invisible in the Storm the role of mathematics in understanding weather Princeton University Press ISBN 978 0691152721 External links Edit Wikimedia Commons has media related to Weather forecasting Meteorological agencies Edit These are academic or governmental meteorology organizations Most provide at least a limited forecast for their area of interest on their website The World Meteorological Organization European Centre for Medium Range Weather Forecasting ECMWF European Meteorological Satellites Australian Bureau of Meteorology Royal Meteorological Institute of Belgium Environment Canada Weather Office Archived April 29 2005 at the Wayback Machine Finnish Meteorological Institute French National Meteorological Service Archived May 14 2008 at the Wayback Machine Indian Meteorological Department IMD National Centre for Medium Range Weather Forecast NCMRWF Indian Institute of Tropical Meteorology IITM Archived May 21 2021 at the Wayback Machine National Atmospheric Research Laboratory NARL Pakistan Meteorological Department The Hellenic National Meteorological Service Greece Hong Kong Observatory Met Eireann Ireland Italian Air Force Aeronautica Militare Meteorological Service Korea Meteorological Administration New Zealand MetService South African Weather Service Meteo Suisse Swiss Weather Agency in English The Met Office of the UK yr no a joint online weather service from the Norwegian Meteorological Institute met no and the Norwegian Broadcasting Corporation NRK Archived December 16 2008 at the Wayback Machine Unidad de Meteorologia IVIC Meteorology Unit Venezuela Institute of Scientific Research in Spanish Instituto Nacional de Hidrometeorologia in Spanish National Meteorological Service of Slovenia based on Academa Application server and WebMet Centro de Previsao de Tempo e Estudos Climaticos at INPE Brazil National Weather Service United States of America National Meteorological Center China The Israel Meteorological Service IMS Other external links Edit Economic history and impact of weather forecasting from EH net Dynamic Weather Forecaster Iowa State University s online educational tool for weather forecasting World Weather News by Radio Popular Mechanics January 1930 pp 50 55 article on international weather report systems set up after World War One using wireless broadcasting from various stations and ships worldwide New Technology Allows Better Extreme Weather Forecasts New technology that increases the warning time for tornadoes and hurricanes could potentially save hundreds of lives every year April 17 2012 Current aviation weather charts for the Americas Europe Asia Africa the Atlantic and Pacific oceans Weather Forecasting Through the Ages Meteorology A brief history History of meteorology Welcome to the ICHM History of Meteorology in India Portal Weather Retrieved from https en wikipedia org w index php title Weather forecasting amp oldid 1146888856, wikipedia, wiki, book, books, library,

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