This file was generated on 2026-03-06 by Jane Roque


A GENERAL INFORMATION

1. Title of the dataset: Namelist for ICON simulations with irrigation 

2. Brief description of the research project and its aims: 
This namelist was used for running irrigation sensitivity tests 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 the Deutscher Wetterdienst (DWD) for weather forecasting. Moreover, ICON is now open source (https://www.icon-model.org/) 

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 quantify the irrigation impact by implementing an irrigation parameterization in simulations on regional ICON-NWP simulations at 3 km horizontal resolution in the EURO-CORDEX domain in Limited-Area Mode. To achieve this, we ran a sensitivity test with different irrigation amounts, which are average irrigation amounts per country. In total, 6 simulations used the current namelist, 1 control run and 5 experiments with different irrigation amounts and two parameterizations.

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: 2023-09-18

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_sensitivity [This file has a txt extension, it is a text configuration file, and it serves as a fortran namelist, within the ICON model, usually fortran 90.]
Roque_Namelist_sensitivity_Readme.txt

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: Jane Leonor Roque Mamani, Arianna Valmassoi. How do Irrigation Schemes shape the Irrigation Impact? A Sensitivity Test with the Operational ICON-NWP. ESS Open Archive . December 09, 2025. doi: 10.22541/essoar.176530330.04410565/v1
This pre-print is under review in the Journal of Advances in Modeling Earth Systems (JAMES).

D METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: 
This namelist is a text configuration file to run ICON simulations. We defined the namelist based on the requeriments of the sensitivity experiment. 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 and with a resolution of 3 km. 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-nwp-2.6.6-nwp0

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: simulations with ICON that include the irrigation amount defined