Bird migration patterns on weather radars

Koistinen, Jarmo

doi:10.1016/s1464-1909(00)00176-3

Cited by 41 publications

(48 citation statements)

References 9 publications

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“…Other evidence of bird detection with XAM Several patterns observed on XAM displays, but not reported in this paper, were characteristic of bird migration, according to Gauthreaux and Belser (1998), Koistinen (2000), and Dieih et a!. (2003).…”

Section: Effects Related With Physics Of Radarsmentioning

confidence: 99%

Comparaison entre un dénombrement de passereaux en migration nocturne et la réflectivité d'un radar de surveillance météorologique canadien /

Gagnon¹

2008

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Section: Effects Related With Physics Of Radarsmentioning

confidence: 99%

Comparaison entre un dénombrement de passereaux en migration nocturne et la réflectivité d'un radar de surveillance météorologique canadien /

Gagnon¹

2008

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“…A flock of sparrows leading dark clouds indicates heavy rainfall within approximately an hour. Migration of certain bird species is associated with change of the season in terms of temperature and rainfall [72,74,75]. According to [76], the appearance of birds and insects could assist in detecting meso-scale meteorological phenomena such as gust fronts.…”

Section: Examples Of Animals As Indicators (See Also Table 2)mentioning

confidence: 99%

“…Heavy migration of flocks, merging into widespread formations, resembles and therefore forecasts heavy rains approaching that particular area [73,74]. The occurrence of a heavy flock of birds flying together indicates wind conditions that could be fatal, e.g., convergence [74]. A flock of sparrows leading dark clouds indicates heavy rainfall within approximately an hour.…”

Section: Examples Of Animals As Indicators (See Also Table 2)mentioning

confidence: 99%

“…A flock of sparrows flying around the sky, with scattered clouds, indicates that there is rain coming in the afternoon. Heavy migration of flocks, merging into widespread formations, resembles and therefore forecasts heavy rains approaching that particular area [73,74]. The occurrence of a heavy flock of birds flying together indicates wind conditions that could be fatal, e.g., convergence [74].…”

Section: Examples Of Animals As Indicators (See Also Table 2)mentioning

confidence: 99%

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Use of Traditional Weather/Climate Knowledge by Farmers in the South-Western Free State of South Africa: Agrometeorological Learning by Scientists

2013

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Abstract:The variety of natural indicators, associated with weather forecasting and climate prediction, as used by farmers in the South-Western Free State province of South Africa, is described. Most farmers in this area were not familiar with the application of weather forecasts/climate predictions for agricultural production, or with other science-based agrometeorological products. They relied almost fully on their experience and traditional knowledge for farming decision making. The indicators for traditional knowledge are demonstrated here in broad terms, relying on the stories and indications from observations and years of experience of their use by the farmers. These means of engagement with the natural environment, are skills not well understood by most scientists, but useful to the farmers. They range from the constellation of stars, animal behavior, cloud cover and type, blossoming of certain indigenous trees, appearance and disappearance of reptiles, to migration of bird species and many others. It is suggested that some short-term traditional forecasts/predictions may be successfully merged with science-based climate predictions. The traditional knowledge and its use, reported on in this paper, is what scientists learned from farmers. Berkes was right that scholars have wasted too much time and effort on a OPEN ACCESSAtmosphere 2013, 4 384 science versus traditional knowledge debate; we should reframe it instead as a science and traditional knowledge dialogue and partnership. The complications of a changing climate make this even more necessary.

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“…The ground speeds of migrating birds may exceed wind speeds by more than 12.9 m s Ϫ1 and thus can seriously inflate winds measured with Doppler surveillance radars (Gauthreaux et al 1998). Koistinen (2000) has extensively studied bird migration patterns on the Finnish weather radars. He concludes that the major part of the bird migration is so weak in reflectivity that no significant effects on the accumulated precipitation products are to be expected, but that detection and elimination of migrating birds from Doppler data for use in NWP assimilation is definitely needed.…”

Section: Introductionmentioning

confidence: 99%

Quality Assessment of Weather Radar Wind Profiles during Bird Migration

Holleman

Gasteren

Bouten

2008

Journal of Atmospheric and Oceanic Technology

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Quality assessment of weather radar wind profiles during bird migrationHolleman, I.; van Gasteren, J.R.; Bouten, W. General rightsIt is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulationsIf you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: http://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. ABSTRACTWind profiles from an operational C-band Doppler radar have been combined with data from a bird tracking radar to assess the wind profile quality during bird migration. The weather radar wind profiles (WRWPs) are retrieved using the well-known volume velocity processing (VVP) technique. The X-band bird radar performed range-height scans perpendicular to the main migration direction and bird densities were deduced by counting and normalizing the observed echoes. It is found that the radial velocity standard deviation ( r ) obtained from the VVP retrieval is a skillful indicator of bird migration. Using a threshold of 2 m s Ϫ1 on r , more than 93% of the bird-contaminated wind vectors are rejected while over 70% of the true wind vectors are accepted correctly. For high bird migration densities the raw weather radar wind vectors have a positive speed bias of 8.6 Ϯ 3.8 m s Ϫ1, while the quality-controlled wind vectors have a negligible speed bias. From the performance statistics against a limited area numerical weather prediction model, it is concluded that all (significant) bird contamination is removed and that high-quality weather radar wind profiles can be obtained, even during the bird migration season.

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Bird migration patterns on weather radars

Cited by 41 publications

References 9 publications

Comparaison entre un dénombrement de passereaux en migration nocturne et la réflectivité d'un radar de surveillance météorologique canadien /

Comparaison entre un dénombrement de passereaux en migration nocturne et la réflectivité d'un radar de surveillance météorologique canadien /

Use of Traditional Weather/Climate Knowledge by Farmers in the South-Western Free State of South Africa: Agrometeorological Learning by Scientists

Quality Assessment of Weather Radar Wind Profiles during Bird Migration

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