<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: A technique for volumetric incoherent scatter radar analysis</titl><IDNo agency="DOI">doi:10.18710/ZM973L</IDNo></titlStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distDate>2022-10-25</distDate></distStmt><verStmt source="archive"><version date="2023-09-28" type="RELEASED">1</version></verStmt><biblCit>Stamm, Johann; Vierinen, Juha, 2022, "Replication Data for: A technique for volumetric incoherent scatter radar analysis", https://doi.org/10.18710/ZM973L, DataverseNO, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: A technique for volumetric incoherent scatter radar analysis</titl><IDNo agency="DOI">doi:10.18710/ZM973L</IDNo></titlStmt><rspStmt><AuthEnty affiliation="UiT The Arctic University of Norway">Stamm, Johann</AuthEnty><AuthEnty affiliation="UiT The Arctic University of Norway">Vierinen, Juha</AuthEnty><othId role="Researcher">Stamm, Johann</othId><othId role="Supervisor">Vierinen, Juha</othId><othId role="Supervisor">Gustavsson, Björn</othId><othId role="Project Member">Spicher, Andres</othId></rspStmt><prodStmt><producer abbr="UiT">UiT The Arctic University of Norway</producer><software version="1.7">Julia</software><software version="3.10">Python</software><grantNo agency="Tromsø Research Foundation">Radar science with EISCAT3D</grantNo><grantNo agency="The Research Council of Norway">326039</grantNo></prodStmt><distStmt><distrbtr source="archive">DataverseNO</distrbtr><distrbtr affiliation="UiT The Arctic University of Norway" URI="https://dataverse.no/dataverse/uit">UiT The Arctic University of Norway</distrbtr><contact affiliation="UiT The Arctic University of Norway" email="johann.i.stamm@uit.no">Stamm, Johann</contact><depositr>Stamm, Johann</depositr><depDate>2022-06-09</depDate></distStmt><holdings URI="https://doi.org/10.18710/ZM973L"/></citation><stdyInfo><subject><keyword xml:lang="en">Physics</keyword><keyword>neutral wind</keyword><keyword>electric field</keyword><keyword>incoherent scatter radar</keyword><keyword>inverse problems</keyword><keyword>ion momentum equation</keyword></subject><abstract date="2022-06-09">Programming code and background files for article "A technique for volumetric incoherent scatter radar analysis". The code relates ion velocity to neutral velocity and electric field in the ionosphere. This is performed by solving the momentum equation in three dimensions and adding Mawells equations, continuity equation and other assumptions as constraints.</abstract><abstract date="2022-03-15">Volumetric measurements of the ionosphere are important for investigating spatial variations of ionospheric features, like auroral arcs and energy deposition in the ionosphere. In addition, such measurements make it possible to distinguish between variations in space and time. While spatial variations in scalar quantities such as electron density or temperature have been investigated with ISR before, spatial variation in the ion velocity, which is a vector quantity, has been hard to measure. The upcoming EISCAT3D radar will be able to do volumetric measurements of ion velocity regularly for the first time. In this article, we present a technique for relating volumetric measurements of ion velocity to neutral wind and electric field. To regularize the estimates, we use Maxwell's equations and fluid-dynamic constraints. The study shows that accurate volumetric estimates of electric field can be achieved. Electric fields can be resolved at altitudes above 120 km which is the altitude range where auroral current closure occurs. 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