Data from: Wind estimation based on thermal soaring of birds

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datacite.RelatedIdentifierhttps://doi.org/10.1002/ece3.2585
datacite.RelatedIdentifier.relatedIdentifierTypeDOI
datacite.RelatedIdentifier.relationTypeIsSupplementTo
dc.contributor.authorFlack, Andrea
dc.contributor.authorFiedler, Wolfgang
dc.contributor.authorWikelski, Martin
dc.date.accessioned2017-11-30T15:56:48Z
dc.date.available2017-11-30T15:56:48Z
dc.date.issued2017-11-30
dc.date.submitted2016
dc.description.abstractNOTE: An updated and larger version of this dataset is available. See doi:10.5441/001/1.ck04mn78. ABSTRACT: The flight performance of birds is strongly affected by the dynamic state of the atmosphere at the birds' locations. Studies of flight and its impact on the movement ecology of birds must consider the wind to help us understand aerodynamics and bird flight strategies. Here, we introduce a systematic approach to evaluate wind speed and direction from the high-frequency GPS recordings from bird-borne tags during thermalling flight. Our method assumes that a fixed horizontal mean wind speed during a short (18 seconds, 19 GPS fixes) flight segment with a constant turn angle along a closed loop, characteristic of thermalling flight, will generate a fixed drift for each consequent location. We use a maximum-likelihood approach to estimate that drift and to determine the wind and airspeeds at the birds' flight locations. We also provide error estimates for these GPS-derived wind speed estimates. We validate our approach by comparing its wind estimates with the mid-resolution weather reanalysis data from ECMWF, and by examining independent wind estimates from pairs of birds in a large dataset of GPS-tagged migrating storks that were flying in close proximity. Our approach provides accurate and unbiased observations of wind speed and additional detailed information on vertical winds and uplift structure. These precise measurements are otherwise rare and hard to obtain and will broaden our understanding of atmospheric conditions, flight aerodynamics, and bird flight strategies. With an increasing number of GPS-tracked animals, we may soon be able to use birds to inform us about the atmosphere they are flying through and thus improve future ecological and environmental studies.
dc.identifier.doidoi:10.5441/001/1.bj96m274
dc.identifier.urihttps://datarepository.movebank.org/handle/10255/move.602
dc.language.isoeng
dc.relationEcology and Evolution
dc.relation.haspartdoi:10.5441/001/1.bj96m274/1
dc.relation.haspartdoi:10.5441/001/1.bj96m274/2
dc.relation.haspartdoi:10.5441/001/1.bj96m274/3
dc.relation.isreferencedbydoi:10.1002/ece3.2585
dc.relation.isreferencedbydoi:10.1126/science.aap7781
dc.relation.isreferencedbydoi:10.1098/rstb.2017.0011
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectCiconia ciconia
dc.subjectanimal tracking
dc.subjectavian migration
dc.subjectCiconia ciconia
dc.subjectECMWF
dc.subjectEnv-DATA
dc.subjectGSM telemetry
dc.subjectGPS logger
dc.subjectMovebank
dc.subjectwhite stork
dc.titleData from: Wind estimation based on thermal soaring of birds
dc.typeArticle
dspace.entity.typeData package
dwc.ScientificNameCiconia ciconia
mdr.animal.count60
mdr.citation.BibTex
@misc{001/1_bj96m274,
  title = {Data from: Wind estimation based on thermal soaring of birds},
  author = {Flack, A and Fiedler, W and Wikelski, M},
  year = {2017},
  URL = {http://dx.doi.org/10.5441/001/1.bj96m274},
  doi = {doi:10.5441/001/1.bj96m274},
  publisher = {Movebank data repository}
}
mdr.citation.CSE
Flack A, Fiedler W, Wikelski M. 2017. Data from: Wind estimation based on thermal soaring of birds. Movebank Data Repository. https://doi.org/10.5441/001/1.bj96m274
mdr.citation.RIS
TY  - DATA
ID  - doi:10.5441/001/1.bj96m274
T1  - Data from: Wind estimation based on thermal soaring of birds
AU  - Flack, Andrea
AU  - Fiedler, Wolfgang
AU  - Wikelski, Martin
Y1  - 2017/11/30
KW  - Ciconia ciconia
KW  - animal movement
KW  - animal tracking
KW  - avian migration
KW  - Ciconia ciconia
KW  - ECMWF
KW  - Env-DATA
KW  - GSM telemetry
KW  - GPS logger
KW  - Movebank
KW  - white stork
KW  - Ciconia ciconia
PB  - Movebank data repository
UR  - http://dx.doi.org/10.5441/001/1.bj96m274
DO  - doi:10.5441/001/1.bj96m274
ER  -
mdr.journal.titleEcology and Evolution
mdr.location.count7153159
mdr.study.id332044860
relation.isAuthorOfDatapackageb2678874-f297-4458-8a00-2babf541e9bb
relation.isAuthorOfDatapackage3a61bbcf-a219-482c-a0d8-e14488b1ce28
relation.isAuthorOfDatapackagee428d6f8-12ff-4b7c-a303-e85efc5fdbe8
relation.isAuthorOfDatapackage.latestForDiscoveryb2678874-f297-4458-8a00-2babf541e9bb
relation.isSensorOfDatapackage32573e6b-4e7b-4144-b181-0288c3682347
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sensor.nameGPS
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