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Data supporting "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization"

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/7867328
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资源简介:
This data supports the analysis of the manuscript Asmus et al. 2023 "Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization". Simulation data The simulation data is created with REMO2020-iMOVE using the new irrigation parameterization. The results are saved as NetCDF files with monthly mean values and/or time series (hourly) of single variables for the analysis period. A list of the simulations can be found below. Observation data  The observation data is published with the kind permission of ISPRA which hosts the SCIA database (www.scia.isprambiente.it). If you use this data, please make sure to include the following data source:SCIA by ISPRA - Area Climatologia operativa - Via V. Brancati 48 00144 Roma. We downloaded monthly mean values for the variables T2Max, T2Min and T2Mean from http://193.206.192.214/servertsutm/serietemporali100.php (last accessed on 14/10/2022) to verify the model results with and without irrigation parameterization.  By untarring the tarballs, the data structure is created that is necessary to execute the analysis scripts. For more information or additional data please contact the author.   tarball                       | exp_number | description  067015.tar.gz            |  067015         | not irrigated 067016.tar.gz            | 067016          | irrigated with "adaptive water application scheme" 067017.tar.gz            | 067017          | irrigated with "adaptive water application scheme" 067019.tar.gz            | 067019          | irrigated with "flexible time water application scheme" 067020.tar.gz            | 067020          | irrigated with "prescribed water application scheme" observation_scia.tar  | -                    | observation data from SCIA    Data structure for simulation data \   \monthly   \hourly      \var_series         \Note:\067015 includes static variables   \irrifrac (irrigated fraction)   \bla (land-sea-mask)
创建时间:
2023-12-01
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