This file was generated on 2026-03-06 by Jane Roque A GENERAL INFORMATION 1. Title of the dataset: Irrigation_parameterization_raw 2. Brief description of the research project and its aims: Irrigation is an agricultural practice that keeps an ideal soil moisture for crop growth. Aside from this, the Earth system community also recognized the irrigation impact on different components of the Earth system. Therefore, the aim of the study was to develop an irrigation parameterization for the ICOsahedral Nonhydrostatic model (ICON) in order to quantify the long-term impact of irrigation on surface and atmospheric variables over the EURO-CORDEX domain using convection-permitting simulations that cover a period of 12 years. The ICON model was developed by the German Weather Service (DWD) and the Max Planck Institute for Meteorology (MPI-M). ICON is currently used operationally at the Deutscher Wetterdienst (DWD) for weather forecasting. Moreover, ICON is now open source (https://www.icon-model.org/) and the modules related to the parameterization are: the interface modules and the land surface scheme (TERRA). We found appropriate to add this parameterization to the interface between the atmosphere and the land surface since ICON can also be coupled with another land surface model. The parameterization includes irrigation water into the grid-scale precipitation variable. It is an adaptation from Valmassoi et. al (2020), irrigation parameterization for the Weather Research and Forecasting Model (WRF). However, in our study, the daily irrigation volume is equal to the readily available water (RAW), which is the portion of the total available water (TAW) that a crop can absorb from the root zone without experiencing water stress. To calculate RAW, we also use a constant depletion fraction and root depth in milimeters. For the TAW calculation, we use soil information, field capacity and permanent wilting point from a specific soil type of a given grid-cell. Our results reveal that irrigation has an effect on surface variables such as temperature 2-m, energy fluxes, evapotranspiration and even radiation variables. We found an irrigation cooling effect in irrigated areas, an increase of latent heat flux and evapotranspiration. As a result, sensible heat flux values decrease. 3. Author Information A. Investigator Contact Information Name: Jane Leonor Roque Institution: Institute of Geosciences, University of Bonn Address: Auf dem Hügel 20, 53121 Bonn, Germany Email: jroquema@uni-bonn.de B. Project Supervisor (Principal Investigator) Contact Information Name: Arianna Valmassoi Institution: Deutscher Wetterdienst Address: Frankfurter Str. 135, 63067 Offenbach am Main Email: Arianna.Valmassoi@dwd.de C. In case of questions related to this dataset, please contact: Name: Jane Leonor Roque Institution: Institute of Geosciences, University of Bonn Address: Auf dem Hügel 20, 53121 Bonn, Germany Email: jroquema@uni-bonn.de 4. Date of data collection: 2024-12-17 5. Information about funding sources that supported the collection of the data: Deutsche Forschungsgemeinschaft, 450058266 6. Language of the dataset: English 7. Geographic location of data collection: Bonn, North Rhine-Westphalia, Germany B DATA & FILE OVERVIEW 1. File List: Irrigation_parameterization_raw [Irrigation parameterization to include in the ICON model. This file has a txt extension. When introduced to the ICON model, this is done to a script in fortran 90: mo_nwp_sfc_interface.f90.] Roque_irriraw_Readme.txt 2. Are there multiple versions of the dataset? No 3. Relationship between files: 4. Additional related data collected that was not included in the current data package: To use the parameterization, it should be included in the interface between the atmosphere and land of the ICON model: mo_nwp_sfc_interface.f90 C SHARING/ACCESS INFORMATION 1. Was data derived from another source?: Yes. It is adapted from Valmassoi, A., Dudhia, J., Sabatino, S. D., & Pilla, F. (2020, 7). Evaluation of three new surface irrigation parameterizations in the wrf-arw v3.8.1 model: The po valley (italy) case study. Geoscientific Model Development, 13 , 3179-740. doi: 10.5194/gmd-13-3179-2020 2. Licenses/restrictions placed on the data: CC-BY 4.0 D METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: This parameterization is an adaptation from Valmassoi et. al (2020), CHANNEL irrigation parameterization for the Weather Research and Forecasting Model (WRF). 2. Methods for processing the data: This parameterization is an adaptation from Valmassoi et. al (2020), irrigation parameterization for the Weather Research and Forecasting Model (WRF). However, differently from that study, the daily irrigation volume in our study is equal to the readily available water (RAW). This is the portion of the total available water (TAW) that a crop can absorb from the root zone without experiencing water stress. To calculate RAW, we also use a constant depletion fraction and root depth in milimeters. For the TAW calculation, we use soil information, field capacity and permanent wilting point from a specific soil type of a given grid-cell. The irrigation water is included in the interface between ICON and its land surface model and add irrigation water into the grid-scale precipitation variable. Irrigation settings and variables that determine the irrigation amount can be chosen by the user. These are: - start and end date [-MM-DDT00:00:00] - irrigation start time [UTC time] - irrigation length [number of hours] - irrigation frequency [number of days] - depletion fraction [based on literature] - root depth [based on literature in mm] . Our simulations we applied an irrigation start date of May 1st, an irrigation start time at 5 UTC and an irrigation length of 5 hours. The irrigation frequency is 12 days. 3. Instrument- and/or software-specific information needed to interpret the data: ICOsahedral Nonhydrostatic model (ICON), Version: icon-2.6.6-nwp3c 4. People involved in sample collection, processing, analysis and/or submission: Jane Roque and Arianna Valmassoi E DATA-SPECIFIC INFORMATION FOR: [Irrigation_parameterization_raw] 1. Variable list including full names and definitions (please spell out abbreviated words) of column headings for tabular data: For irrigation settings and variables that can be chosen by the user, please see Section D, Point 2 of the readme. 2. Units of measurement used: root depth in milimeters, time in UTC and date MM-YY