001048616 001__ 1048616
001048616 005__ 20251127202207.0
001048616 0247_ $$2doi$$a10.5281/ZENODO.14852197
001048616 037__ $$aFZJ-2025-04756
001048616 041__ $$aEnglish
001048616 1001_ $$0P:(DE-Juel1)190817$$aKonjari, Patrick$$b0$$ufzj
001048616 245__ $$aIAGOS Adjusted Water Vapor Climatologies
001048616 260__ $$bZenodo$$c2025
001048616 3367_ $$2BibTeX$$aMISC
001048616 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1764253270_7863
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001048616 520__ $$aContent The files contain adjusted mean water vapor values based on the IAGOS ICH measurements. The data are provided to a 5x5° grid for different levels of potential temperatureand on pressure. The dataset contains the adjusted water vapor and an error estimate, which is based on the measurement uncertainity as well as the uncertainty of the adjusmtent methdology.   Data Coverage Mean values are derived from measurements in the period 1996 to 2022   Data Creation The adjustment methodology is decribed in detail in the following publication, Section 4:  Konjari, P. and Rolf, C. and Hegglin, M. I. and Rohs, S. and Li, Y. and Zahn, A. and Bönisch, H. and Krämer, M. and Petzold, A., Water Vapor climatologies in the extra-tropical Upper Troposphere and Lower Stratosphere derived from a Synthesis of Passenger and  Research Aircraft Measurements, EGUsphere,  doi: 10.5194/egusphere-2024-2360   Application The adjusted water vapor climatologies can be used to further study the spatial and seasonal variability over water vapor in the UTLS.  For comparison of the adjusted IAGOS data with other datasets, the data coverage of the adjusted data should be considered. For this purpose, for every bin, the amount of data for every single month of the respective years is provided in the variable 'num_measurements' (dimension: longitude x latitude x theta x nyear x month, with nyear=0 for 1996).   Caveats: Because a sufficient amount of data in the order of several thousand measurement points is needed to derive the adjusted mean values, only multi-annual means are provided, and no trends can be derived Uncertainties of the adjustment methodology: The uncertainty of the water vapor data can exceed 10 % and reach up to 20 % for dry stratospheric air masses (
001048616 536__ $$0G:(DE-HGF)POF4-2111$$a2111 - Air Quality (POF4-211)$$cPOF4-211$$fPOF IV$$x0
001048616 588__ $$aDataset connected to DataCite
001048616 650_7 $$2Other$$aUTLS
001048616 650_7 $$2Other$$aWater Vapor
001048616 650_7 $$2Other$$aIAGOS
001048616 7001_ $$0P:(DE-Juel1)139013$$aRolf, Christian$$b1
001048616 7001_ $$0P:(DE-Juel1)136669$$aPetzold, Andreas$$b2
001048616 773__ $$a10.5281/ZENODO.14852197
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001048616 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190817$$aForschungszentrum Jülich$$b0$$kFZJ
001048616 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)139013$$aForschungszentrum Jülich$$b1$$kFZJ
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001048616 9131_ $$0G:(DE-HGF)POF4-211$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2111$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vDie Atmosphäre im globalen Wandel$$x0
001048616 9141_ $$y2025
001048616 9201_ $$0I:(DE-Juel1)ICE-3-20101013$$kICE-3$$lTroposphäre$$x0
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