<?xml version='1.0' encoding='UTF-8'?><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>European Water-Use Efficiency Dataset based on Community Land Model 5</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/UUCUVI</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2025-10-23</distDate></distStmt><verStmt source="DVN"><version date="2025-10-23" type="RELEASED">1</version></verStmt><biblCit>Poppe Terán, Christian; Belleflamme, Alexandre; Naz S., Bibi; Hendricks Franssen, Harrie-Jan; Vereecken, Harry, 2025, "European Water-Use Efficiency Dataset based on Community Land Model 5", https://doi.org/10.26165/JUELICH-DATA/UUCUVI, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>European Water-Use Efficiency Dataset based on Community Land Model 5</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/UUCUVI</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Institute of Bio and Geosciences - Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany">Poppe Terán, Christian</AuthEnty><AuthEnty affiliation="Institute of Bio and Geosciences - Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany">Belleflamme, Alexandre</AuthEnty><AuthEnty affiliation="Institute of Bio and Geosciences - Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany">Naz S., Bibi</AuthEnty><AuthEnty affiliation="Institute of Bio and Geosciences - Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany">Hendricks Franssen, Harrie-Jan</AuthEnty><AuthEnty affiliation="Institute of Bio and Geosciences - Agrosphere (IBG-3), Research Centre Jülich, Jülich, Germany">Vereecken, Harry</AuthEnty></rspStmt><prodStmt><software>https://github.com/Toeroeoe/create_eLTER_CWF_WUE_DP</software><grantNo agency="European Union's Horizon 2020 research and innovation programme">871128 (eLTER PLUS)</grantNo></prodStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact affiliation="IBG3, FZJ" email="c.poppe@fz-juelich.de">Poppe Terán, Christian</contact><depositr>Poppe Terán, Christian</depositr><depDate>2025-09-03</depDate></distStmt></citation><stdyInfo><subject><keyword>Agricultural Sciences</keyword><keyword>Earth and Environmental Sciences</keyword><keyword vocab="LCSH" vocabURI="https://www.loc.gov/aba/publications/FreeLCSH/freelcsh.html">Hydrology</keyword><keyword vocab="LCSH" vocabURI="https://www.loc.gov/aba/publications/FreeLCSH/freelcsh.html">Carbon Cycle (Biogeochemistry)</keyword></subject><abstract date="2025-09-03">This dataset provides spatiotemporal variables related to the Water-Use Efficiency (WUE), and is based on Community Land Model version 5 simulations with COSMO Reanalysis 6 forcings for the EUROCORDEX domain and for the period 1995-2018. It comprises NetCDF files containing variables to calculate three Water-Use Efficiency metrics (Ecosystem Water-Use Efficiency, Transpiration Water-Use Efficiency, and Inherent Water-Use Efficiency) and also Gross Primary Production (GPP), Evapotranspiration (ET), Transpiration (Tr), and Vapor Pressure Deficit. Additional controlling variables are also included, such as Soil Moisture, Precipitation, Vegetation, and Soil Carbon pools. Finally, GPP, ET, and Tr variables are also provided on the Plant Functional Type (PFT) sub-grid level, resolving the grid-cell averages to each present PFT.&#xd;
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The dataset is from processed CLM5-BGC simulations. The postprocessing involved resampling to 8-daily means for compatibility with many contemporary remote sensing products. The relative coverage of the PFTs in each grid cell is indicated in the surface information variables, which must be scaled by the share of natural vegetation land unit in the grid cell. Similarly, the present crop types must be scaled with the present cropland land unit in the grid cell. Further information is provided by Poppe Terán et al. 2025, in the CLM5 description paper, and in the CLM5 technical note.&#xd;
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The dataset is related to the Climate-Water-Food Research Challenge of the eLTER PLUS project.&#xd;
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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871128 (eLTER PLUS). The creator gratefully acknowledges the computing time granted through JARA on the supercomputer JURECA at Research Centre Jülich.&#xd;
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The repository used to create this dataset is available at: &lt;a href="https://github.com/Toeroeoe/create_eLTER_CWF_WUE_DP">https://github.com/Toeroeoe/create_eLTER_CWF_WUE_DP&lt;/a> &#xd;
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The whole dataset is available through the Jülich datapub:&#xd;
&lt;a href="https://datapub.fz-juelich.de/slts/elter_wue">https://datapub.fz-juelich.de/slts/elter_wue&lt;/a></abstract><sumDscr><timePrd cycle="P1" event="start" date="1995-01-01">1995-01-01</timePrd><timePrd cycle="P1" event="end" date="2018-12-31">2018-12-31</timePrd></sumDscr><notes>The data is available through the Jülich datapub: &lt;a href="https://datapub.fz-juelich.de/slts/elter_wue">https://datapub.fz-juelich.de/slts/elter_wue&lt;/a></notes></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">https://doi.org/10.5194/gmd-18-287-2025</IDNo></titlStmt><biblCit>Poppe Terán, C., Naz, B.S., Vereecken, H., Baatz, R., Fisher, R.A., Hendricks Franssen, H.-J., 2025. Systematic underestimation of type-specific ecosystem process variability in the Community Land Model v5 over Europe. Geosci. Model Dev. 18, 287–317.</biblCit></citation></relPubl><relPubl><citation><titlStmt><IDNo agency="doi">https://doi.org/10.17815/jlsrf-7-182</IDNo></titlStmt><biblCit>Thörnig, P., 2021. JURECA: Data Centric and Booster Modules implementing the Modular Supercomputing Architecture at Jülich Supercomputing Centre. JLSRF 7, A182.</biblCit></citation></relPubl><relPubl><citation><biblCit>Lawrence, D.M., Fisher, R., Koven, C., Oleson, K., Swenson, S., Mariana Vertenstein, Ben Andre, Gordon Bonan, Bardan Ghimire, Leo van Kampenhout, Daniel Kennedy, Erik Kluzek, Ryan Knox, Peter Lawrence, Fang Li, Hongyi Li, Danica Lombardozzi, Yaqiong Lu, Justin Perket, William Riley, William Sacks, Mingjie Shi, Will Wieder, Chonggang Xu, Ashehad Ali, Andrew Badger, Gautam Bisht, Patrick Broxton, Michael Brunke, Jonathan Buzan, Martyn Clark, Tony Craig, Kyla Dahlin, Beth Drewniak, Louisa Emmons, Josh Fisher, Mark Flanner, Pierre Gentine, Jan Lenaerts, Sam Levis, L. Ruby Leung, William Lipscomb, Jon Pelletier, Daniel M. Ricciuto, Ben Sanderson, Jacquelyn Shuman, Andrew Slater, Zachary Subin, Jinyun Tang, Ahmed Tawfik, Quinn Thomas, Simone Tilmes, Francis Vitt, Xubin Zeng, 2018. CLM5 Documentation (Technical Note).</biblCit></citation><ExtLink URI="https://www2.cesm.ucar.edu/models/cesm2/land/CLM50_Tech_Note.pdf"/></relPubl><relPubl><citation><titlStmt><IDNo agency="doi">https://doi.org/10.1029/2018MS001583</IDNo></titlStmt><biblCit>Lawrence, D.M., Fisher, R.A., Koven, C.D., Oleson, K.W., Swenson, S.C., Bonan, G., Collier, N., Ghimire, B., Kampenhout, L., Kennedy, D., Kluzek, E., Lawrence, P.J., Li, F., Li, H., Lombardozzi, D., Riley, W.J., Sacks, W.J., Shi, M., Vertenstein, M., Wieder, W.R., Xu, C., Ali, A.A., Badger, A.M., Bisht, G., Broeke, M., Brunke, M.A., Burns, S.P., Buzan, J., Clark, M., Craig, A., Dahlin, K., Drewniak, B., Fisher, J.B., Flanner, M., Fox, A.M., Gentine, P., Hoffman, F., Keppel‐Aleks, G., Knox, R., Kumar, S., Lenaerts, J., Leung, L.R., Lipscomb, W.H., Lu, Y., Pandey, A., Pelletier, J.D., Perket, J., Randerson, J.T., Ricciuto, D.M., Sanderson, B.M., Slater, A., Subin, Z.M., Tang, J., Thomas, R.Q., Val Martin, M., Zeng, X., 2019. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty. J. Adv. Model. Earth Syst. 11, 4245–4287.</biblCit></citation></relPubl></othrStdyMat></stdyDscr></codeBook>