<?xml version="1.0" encoding="UTF-8"?><resource xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.3/metadata.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="DOI">10.1594/PANGAEA.968930</identifier><creators><creator><creatorName>Lüpkes, Christof</creatorName><givenName>Christof</givenName><familyName>Lüpkes</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-6518-0717</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/032e6b942">Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven</affiliation></creator><creator><creatorName>Hartmann, Jörg</creatorName><givenName>Jörg</givenName><familyName>Hartmann</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-5204-4652</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/032e6b942">Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven</affiliation></creator><creator><creatorName>Michaelis, Janosch</creatorName><givenName>Janosch</givenName><familyName>Michaelis</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0002-0564-2083</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/032e6b942">Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven</affiliation></creator><creator><creatorName>Herber, Andreas</creatorName><givenName>Andreas</givenName><familyName>Herber</familyName><nameIdentifier schemeURI="http://orcid.org/" nameIdentifierScheme="ORCID">0000-0001-6651-3835</nameIdentifier><affiliation affiliationIdentifierScheme="ROR" affiliationIdentifier="https://ror.org/032e6b942">Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven</affiliation></creator></creators><titles><title>Aircraft measurements of wind and temperature during flight P5_232_HALO_2022_2203291002 of the HALO-AC3 campaign in 2022</title></titles><publisher>PANGAEA</publisher><publicationYear>2024</publicationYear><subjects><subject subjectScheme="Parameter">Time in seconds</subject><subject subjectScheme="Parameter">ALTITUDE</subject><subject subjectScheme="Parameter">LONGITUDE</subject><subject subjectScheme="Parameter">LATITUDE</subject><subject subjectScheme="Parameter">Pressure, at given altitude</subject><subject subjectScheme="Parameter">Ground speed</subject><subject subjectScheme="Parameter">Pitch angle</subject><subject subjectScheme="Parameter">Roll angle</subject><subject subjectScheme="Parameter">Humidity, relative</subject><subject subjectScheme="Parameter">Temperature, air</subject><subject subjectScheme="Parameter">Wind velocity, west-east</subject><subject subjectScheme="Parameter">Wind velocity, south-north</subject><subject subjectScheme="Parameter">Wind velocity, vertical</subject><subject subjectScheme="Parameter">True air speed</subject><subject subjectScheme="Method">Aircraft</subject><subject subjectScheme="Method">Vaisala, HUMICAP</subject><subject subjectScheme="Campaign">P5-232_HALO_2022</subject><subject subjectScheme="Basis">POLAR 5</subject><subject subjectScheme="Project">Arctic Amplification (AC3)</subject></subjects><dates><date dateType="Collected">2022-03-29T11:46:44/2022-03-29T17:04:43</date></dates><resourceType resourceTypeGeneral="Dataset">Dataset</resourceType><relatedIdentifiers><relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.1594/PANGAEA.968911</relatedIdentifier></relatedIdentifiers><sizes><size>228828 data points</size></sizes><formats><format>text/tab-separated-values</format></formats><rightsList><rights rightsURI="https://creativecommons.org/licenses/by/4.0/" schemeURI="https://spdx.org/licenses/" rightsIdentifierScheme="SPDX" rightsIdentifier="CC-BY-4.0">Creative Commons Attribution 4.0 International</rights></rightsList><descriptions><description descriptionType="Abstract">During the HALO-AC3 campaign conducted in March and April 2022 in Svalbard meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.5m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.15m/s for straight and level flight sections. For these sections, which can be obtained on the basis of the given roll and pitch angles of the aircraft, the 100 Hz data can be used to derive turbulent fluxes of momentum and sensible heat. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018). The current dataset represents a downsampled version of 100Hz data to 1Hz by a moving average filter. On several occasions wind data are not available due to icing of the sensors. For those instances wind data are set to zero.</description></descriptions><geoLocations><geoLocation><geoLocationBox><westBoundLongitude>9.14113</westBoundLongitude><eastBoundLongitude>16.62616</eastBoundLongitude><southBoundLatitude>78.24326</southBoundLatitude><northBoundLatitude>81.69518</northBoundLatitude></geoLocationBox></geoLocation><geoLocation><geoLocationPlace>Arctic</geoLocationPlace></geoLocation></geoLocations><fundingReferences><fundingReference><funderName>German Research Foundation</funderName><funderIdentifier funderIdentifierType="Crossref Funder ID">https://doi.org/10.13039/501100001659</funderIdentifier><awardNumber awardURI="https://gepris.dfg.de/gepris/projekt/268020496">268020496</awardNumber><awardTitle>TRR 172:  ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms</awardTitle></fundingReference></fundingReferences></resource>