Hydrometeorology

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Hydrometeorology is a branch of meteorology and hydrology that studies the transfer of water and energy between the land surface and the lower atmosphere for academic research, commercial gain or operational forecasting purposes.

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Whilst traditionally meteorologists and hydrologists sit within separate organisations, hydrometeorlogists may work in joint project teams, virtual teams, deal with specific incidents or be permanently co-located to deliver specific objectives. Hydrometeorlogists typically have a foundation in one or other discipline before undertaking additional training and specialist forecaster training depending on requirements. The cross over skills and knowledge between the two disciplines can bring organisational benefits in terms of efficiencies in terms of using tools and data available, and provide benefits in terms of enhanced lead times ahead of hydrometeological hazards occurring.

UNESCO has several programs and activities in place that deal with the study of natural hazards of hydrometeorological origin and the mitigation of their effects. [1] Among these hazards are the results of natural processes and atmospheric, hydrological, or oceanographic phenomena such as floods, tropical cyclones, drought, and desertification. Many countries have established an operational hydrometeorological capability to assist with forecasting, warning, and informing the public of these developing hazards.

Hydrometeorological forecasting

One of the more significant aspects of hydrometeorology involves predictions about and attempts to mitigate the effects of high precipitation events. [2] There are three primary ways to model meteorological phenomena in weather forecasting, including nowcasting, numerical weather prediction, and statistical techniques. [3] Nowcasting is good for predicting events a few hours out, utilizing observations and live radar data to combine them with numerical weather prediction models. [3] The primary technique used to forecast weather, numerical weather prediction uses mathematical models to account for the atmosphere, ocean, and many other variables when producing forecasts. [3] These forecasts are generally used to predict events days or weeks out. [3] Finally, statistical techniques use regressions and other statistical methods to create long-term projections that go out weeks and months at a time. [3] These models allow scientists to visualize how a multitude of different variables interact with one another, and they illustrate one grand picture of how the Earth's climate interacts with itself. [4]

Risk assessment

A major component of hydrometeorology is mitigating the risk associated with flooding and other hydrological threats. First, there has to be knowledge of the possible hydrological threats that are expected within a specific region. [3] After analyzing the possible threats, warning systems are put in place to quickly alert people and communicate to them the identity and magnitude of the threat. [3] Many nations have their own specific regional hydrometeorological centers that communicate threats to the public. Finally, there must be proper response protocols in place to protect the public during a dangerous event. [3]

Operational hydrometeorology in practice

Rainfall forecasts for the 1909 Velasco hurricane produced by the US Hydrometeorological Prediction Center (now the Weather Prediction Center) 1932 Velasco hurricane rainfall totals.png
Rainfall forecasts for the 1909 Velasco hurricane produced by the US Hydrometeorological Prediction Center (now the Weather Prediction Center)

Countries with a current operational hydrometeorological service include, among others:

Related Research Articles

<span class="mw-page-title-main">European Centre for Medium-Range Weather Forecasts</span> European intergovernmental weather computation organisation based in the UK

The European Centre for Medium-Range Weather Forecasts (ECMWF) is an independent intergovernmental organisation supported by most of the nations of Europe. It is based at three sites: Shinfield Park, Reading, United Kingdom; Bologna, Italy; and Bonn, Germany. It operates one of the largest supercomputer complexes in Europe and the world's largest archive of numerical weather prediction data.

<span class="mw-page-title-main">Weather forecasting</span> Science and technology application

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.

<span class="mw-page-title-main">National Weather Service</span> U.S. forecasting agency of the National Oceanic and Atmospheric Administration

The National Weather Service (NWS) is an agency of the United States federal government that is tasked with providing weather forecasts, warnings of hazardous weather, and other weather-related products to organizations and the public for the purposes of protection, safety, and general information. It is a part of the National Oceanic and Atmospheric Administration (NOAA) branch of the Department of Commerce, and is headquartered in Silver Spring, Maryland, within the Washington metropolitan area. The agency was known as the United States Weather Bureau from 1890 until it adopted its current name in 1970.

<span class="mw-page-title-main">Weather Prediction Center</span> United States weather agency

The Weather Prediction Center (WPC), located in College Park, Maryland, is one of nine service centers under the umbrella of the National Centers for Environmental Prediction (NCEP), a part of the National Weather Service (NWS), which in turn is part of the National Oceanic and Atmospheric Administration (NOAA) of the U.S. Government. Until March 5, 2013 the Weather Prediction Center was known as the Hydrometeorological Prediction Center (HPC). The Weather Prediction Center serves as a center for quantitative precipitation forecasting, medium range forecasting, and the interpretation of numerical weather prediction computer models.

HIRLAM, the High Resolution Limited Area Model, is a Numerical Weather Prediction (NWP) forecast system developed by the international HIRLAM programme.

<span class="mw-page-title-main">Numerical weather prediction</span> Weather prediction using mathematical models of the atmosphere and oceans

Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results. A number of global and regional forecast models are run in different countries worldwide, using current weather observations relayed from radiosondes, weather satellites and other observing systems as inputs.

<span class="mw-page-title-main">Environmental Modeling Center</span> United States weather agency

The Environmental Modeling Center (EMC) is a United States Government agency, which improves numerical weather, marine and climate predictions at the National Centers for Environmental Prediction (NCEP), through a broad program of research in data assimilation and modeling. In support of the NCEP operational forecasting mission, the EMC develops, improves and monitors data assimilation systems and models of the atmosphere, ocean and coupled system, using advanced methods developed internally as well as cooperatively with scientists from universities, NOAA laboratories and other government agencies, and the international scientific community.

The National Severe Storms Laboratory (NSSL) is a National Oceanic and Atmospheric Administration (NOAA) weather research laboratory under the Office of Oceanic and Atmospheric Research. It is one of seven NOAA Research Laboratories (RLs).

Flood forecasting is the process of predicting the occurrence, magnitude, timing, and duration of floods in a specific area, often by analysing various hydrological, meteorological, and environmental factors. The primary goal of flood forecasting is to deliver timely and accurate information to decision-makers, empowering them to take appropriate actions to mitigate the potential consequences of flooding on human lives, property, and the environment. By accounting for the various dimensions of a flood event, such as occurrence, magnitude, duration, and spatial extent, flood forecasting models can offer a more holistic and detailed representation of the impending risks and facilitate more effective response strategies.

The European Flood Awareness System is a European Commission initiative to increase preparedness for riverine floods across Europe.

<span class="mw-page-title-main">Quantitative precipitation forecast</span> Expected amount of melted precipitation

The quantitative precipitation forecast is the expected amount of melted precipitation accumulated over a specified time period over a specified area. A QPF will be created when precipitation amounts reaching a minimum threshold are expected during the forecast's valid period. Valid periods of precipitation forecasts are normally synoptic hours such as 00:00, 06:00, 12:00 and 18:00 GMT. Terrain is considered in QPFs by use of topography or based upon climatological precipitation patterns from observations with fine detail. Starting in the mid-to-late 1990s, QPFs were used within hydrologic forecast models to simulate impact to rivers throughout the United States. Forecast models show significant sensitivity to humidity levels within the planetary boundary layer, or in the lowest levels of the atmosphere, which decreases with height. QPF can be generated on a quantitative, forecasting amounts, or a qualitative, forecasting the probability of a specific amount, basis. Radar imagery forecasting techniques show higher skill than model forecasts within 6 to 7 hours of the time of the radar image. The forecasts can be verified through use of rain gauge measurements, weather radar estimates, or a combination of both. Various skill scores can be determined to measure the value of the rainfall forecast.

The Hydrometeorological Centre of Russia is the national meteorological service in Russia, part of the Federal Service for Hydrometeorology and Environmental Monitoring.

<span class="mw-page-title-main">Croatian Meteorological and Hydrological Service</span> National meteorological agency of Croatia

The Croatian Meteorological and Hydrological Service is a public entity for meteorology, hydrology and air quality in Croatia.

<span class="mw-page-title-main">Nowcasting (meteorology)</span>

Nowcasting is weather forecasting on a very short term mesoscale period of up to 2 hours, according to the World Meteorological Organization, and up to six hours, according to other authors in the field. This forecast is an extrapolation in time of known weather parameters, including those obtained by means of remote sensing, using techniques that take into account a possible evolution of the air mass. This type of forecast therefore includes details that cannot be solved by numerical weather prediction (NWP) models running over longer forecast periods.

<span class="mw-page-title-main">Solar power forecasting</span> Power forecasting

Solar power forecasting is the process of gathering and analyzing data in order to predict solar power generation on various time horizons with the goal to mitigate the impact of solar intermittency. Solar power forecasts are used for efficient management of the electric grid and for power trading.

The flash flood guidance system (FFGS) was designed and developed by the Hydrologic Research Center, a non-profit public-benefit corporation located in San Diego, CA, US, for use by meteorological and hydrologic forecasters throughout the world. The primary purpose of the FFGS is to provide operational forecasters and disaster management agencies with real-time information pertaining to the threat of small-scale flash flooding throughout a specified region.

The North American Ensemble Forecast System (NAEFS) is a joint project involving the Meteorological Service of Canada (MSC) in Canada, the National Weather Service (NWS) in the United States, and the National Meteorological Service of Mexico (NMSM) in Mexico providing numerical weather prediction ensemble guidance for the 1- to 16-day forecast period. The NAEFS combines the Canadian MSC and the US NWS global ensemble prediction systems, improving probabilistic operational guidance over what can be built from any individual country's ensemble. Model guidance from the NAEFS is incorporated into the forecasts of the respective national agencies.

<span class="mw-page-title-main">Peter J. Webster</span>

Peter John Webster is a meteorologist and climate dynamicist relating to the dynamics of large-scale coupled ocean-atmosphere systems of the tropics, notably the Asian monsoon. Webster holds degrees in applied physics, mathematics and meteorology. Webster studies the basic dynamics of the coupled ocean-atmosphere system in the tropics and has applied this basic knowledge to developing warning systems for extreme weather events in Asia. He has served on a number of prestigious national and international committees including the World Climate Research Program's Joint Scientific Committee (1983-1987), chaired the international Tropical Ocean Global Atmospheric (TOGA) organizing committee (1988–94) and was co-organizer of the multinational TOGA Couple Ocean-Atmosphere (1993). He is Emeritus Professor in Earth and Atmospheric Sciences at Georgia Institute of Technology and co-founder and Chief Scientist of Climate Forecast Applications Network LLC, a weather and climate services company.

Climate Forecast Applications Network (CFAN) is a company that develops weather and climate forecast tools and provides research and consulting services to manage weather and climate risks. CFAN was started in 2006 by Judith Curry and Peter Webster in Georgia Tech’s Enterprise Innovation Institute VentureLab program.

References

  1. "Hydro-meteorological hazards | United Nations Educational, Scientific and Cultural Organization". Unesco.org. Retrieved 2016-08-05.
  2. Dale, Murray; Davies, Paul; Harrison, Tim (2012). "Review of recent advances in UK operational hydrometeorology". Proceedings of the Institution of Civil Engineers - Water Management. 165 (2): 55–64. Bibcode:2012ICEWM.165...55D. doi:10.1680/wama.2012.165.2.55.
  3. 1 2 3 4 5 6 7 8 Sene, Kevin (2015). Hydrometeorology: Forecasting and Applications. Springer International Publishing Switzerland. p. 1. ISBN   978-3-319-23546-2.
  4. Betts, Alan (2004). "Understanding Hydrometeorology Using Global Models". Bulletin of the American Meteorological Society. 85 (11): 1673–1688. Bibcode:2004BAMS...85.1673B. doi: 10.1175/BAMS-85-11-1673 .
  5. "Centro Nacional de Monitoramento e Alertas de Desastres Naturais (Cemaden)". labhidro-IGEO-UFRJ. Retrieved 2017-06-29.
  6. "Flood Forecasting Centre". Ffc-environment-agency.metoffice.gov.uk. 2011-09-22. Retrieved 2014-05-28.
  7. "Information nationale". Vigicrues. Retrieved 2014-05-28.
  8. "Hydrometeorology and water management". Deutscher Wetterdienst. Retrieved 2021-11-20.
  9. "Hydro-Meteorology". Imd.gov.in. Archived from the original on 2014-06-30. Retrieved 2014-05-28.
  10. "Flood Forecasting Service". Sepa.org.uk. Retrieved 2014-05-28.
  11. "Republic Hydrometeorological service of Serbia Kneza Višeslava 66 Beograd". Hidmet.gov.rs. 2014-05-18. Retrieved 2014-05-28.