This file was generated on 2026-07-10 by Jane Roque


A GENERAL INFORMATION

1. Title of the dataset: Namelist for long-term ICON simulations with irrigation in Limited Area Mode

2. Brief description of the research project and its aims: 
This namelist was used for running an irrigation long-term experiment and a control run with the ICON (Icosahedral Nonhydrostatic) Model. This model was developed by the German Weather Service (DWD) and the Max Planck Institute for Meteorology (MPI-M). ICON is currently used operationally at DWD for weather forecasting and it is now open source (https://www.icon-model.org/)

Studies on irrigation within Earth system models have demonstrated the irrigation effects on various variables. While some regional simulations in Europe have focused on short-term impacts during a single growing season, comprehensive long-term simulations across the entire continent are lacking. Our study aims to quantify the long-term impact of irrigation on surface and atmospheric variables over the EURO-CORDEX domain using convection-permitting ICON simulations that cover a period of 12 years. The control (no irrigation) and irrigation experiments used the current namelist for a simulation spanning from 2010 to 2022.

For a complete list, see Namelist_overview.pdf:
https://gitlab.dkrz.de/icon/icon-model/-/blob/release-2025.04-public/doc/Namelist_overview/Namelist_overview.pdf

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: 2025-03-24

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: 
Namelist_icon_long_simulation [This ASCII text file is a text configuration file, and it serves as a fortran namelist, within the ICON model, usually Fortran 90.]
Roque_Namelist_long_term_Readme

2. Are there multiple versions of the dataset? No

C SHARING/ACCESS INFORMATION

1. Was data derived from another source?: Yes. From model set-up for a reanalysis with ICON-nwp for the DETECT project, within D03 cluster, done by Bernd Schalge. This reanalysis was presented in EGU 2024 and the reference is the following:
Schalge, B., Mamani, J. R., Stein, O., Poll, S., Görgen, K., Keller, J., and Valmassoi, A.: Towards a coupled km-scale Atmosphere-Land Reanalysis for Europe, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-20247, https://doi.org/10.5194/egusphere-egu24-20247, 2024.

2. Licenses/restrictions placed on the data: CC-BY 4.0

3. Links to publications that cite or use the data: 
Roque, J. L. and Valmassoi, A. (2026). Multi-year convection-permitting irrigation impacts across the European continent, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2026-3354
This preprint is under review in the Journal of Hydrology and Earth System Sciences (HESS). 

Roque, J. L. and Valmassoi, A. (2026). Irrigation parameterization for the ICON model, https://doi.org/10.60507/FK2/YIGGOC, bonndata, V1

Roque, J. L. and Valmassoi, A. (2026). 3 Hourly ICON outputs from irrigation long-term simulation, https://doi.org/10.60507/FK2/H4W6DT, bonndata


D METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
This namelist is a ASCII text configuration file to run ICON simulations. We defined the namelist based on the requeriments of the long-term ICON simulations. For our particular case, we worked with ICON-nwp, on Limited-area mode and with a resolution of 3 km. Limited-area mode means that our model domain is only regional and not global. Since our model domain only includes the EURO-CORDEX area, we are working on Limited-area mode.

For a complete list, see Namelist_overview.pdf:
https://gitlab.dkrz.de/icon/icon-model/-/blob/release-2025.04-public/doc/Namelist_overview/Namelist_overview.pdf 

2. Methods for processing the data: 
Fill all the parameters based on the desired ICON simulation. For our particular case, we worked with ICON-nwp, on Limited are mode, with a resolution of 3 km, 75 vertical levels and a time interval of 30 seconds. For a complete list, see Namelist_overview.pdf:
https://gitlab.dkrz.de/icon/icon-model/-/blob/release-2025.04-public/doc/Namelist_overview/Namelist_overview.pdf

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

5. Describe any quality-assurance procedures performed on the data: The Namelist was used to run ICON simulations with and without an irrigation parameterization