Data accompanying the paper titled: The ICON single-column mode. This repository contains configuration files and output data from idealized and semi-realistic simulations run with different modes of the ICON (ICOsahedral Nonhydrostatic) modeling framework: large eddy mode (LEM), cloud resolving mode without deep convection parametrization (CRM), and single-column mode (SCM). Additionally, the three-dimensional ICON was run on different geometries: on the globe, on a limited area with open lateral boundary conditions (LAM), and on a limited area with periodic lateral boundaries conditions (PER) - torus grid. This repository contains also configuration files and standard output statistics for four idealized simulations run with LES model MicroHH (van Heerwaarden et al., 2017): ARM, BOMEX, DYCOMS and RICO.
ARM, BOMEX, and RICO cases were run with version 1.0 of the MicroHH model: https://github.com/microhh/microhh . DYCOMS case was run version 2 of the MicroHH model: https://github.com/microhh/microhh2 . The ICON SCM was tested on four idealized cases: the drizzling stratocumulus case based on the first research flight (RF01) of the second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) field study (Stevens et al., 2005), the continental cumulus case based on measurements over the Atmospheric Radiation Measurement (ARM) program Cloud and Radiation Testbed (CART) site in Oklahoma (Brown et al. 2002; Lenderink et al., 2004), the trade wind cumulus case based on observations from the Barbados Oceanographic and Meteorological Experiment (BOMEX) (Siebesma et al. , 2003), and the precipitating shallow cumulus convection case based on the Rain in Cumulus over the Ocean (RICO) field experiment (Rauber et al., 2007; van Zanten et al., 2011). Semi-realistic case is based on data from the Field Experiment on Submesoscale Spatio-Temporal VAriability in Lindenberg (FESSTVaL - http://fesstval.de/) in eastern Germany on 12 July 2020 starting at 00 UTC. The observations are from the Falkenberg site. The files are organized in the following way: Data from simulations and observations are located in 'data' sub-directory.
Each idealized ICON simulation has its own sub-directory in the 'idealized/ICON-SCM' sub-directory.
Each idealized MicroHH simulation has its own sub-directory in the 'idealized/LES' sub-directory.
Data for semi-realistic case are in the 'semi-realistic directory' Python scripts 'plot-ID-SCM-ST1.py', 'plot-SR-time-var.py', 'plot-ID-SCM-ST2.py', 'plot-SR-var-z.py' processes data from idealized and semi-realistic cases. The final figures for publication are located in the 'figures' folder.

Data accompanying the paper titled: The ICON single-column mode. This repository contains configuration files and output data from idealized and semi-realistic simulations run with different modes of the ICON (ICOsahedral Nonhydrostatic) modeling framework: large eddy mode (LEM), cloud resolving mode without deep convection parametrization (CRM), and single-column mode (SCM). Additionally, the three-dimensional ICON was run on different geometries: on the globe, on a limited area with open lateral boundary conditions (LAM), and on a limited area with periodic lateral boundaries conditions (PER) - torus grid. This repository contains also configuration files and standard output statistics for four idealized simulations run with LES model MicroHH (van Heerwaarden et al., 2017): ARM, BOMEX, DYCOMS and RICO.
ARM, BOMEX, and RICO cases were run with version 1.0 of the MicroHH model: https://github.com/microhh/microhh . DYCOMS case was run version 2 of the MicroHH model: https://github.com/microhh/microhh2 . The ICON SCM was tested on four idealized cases: the drizzling stratocumulus case based on the first research flight (RF01) of the second Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) field study (Stevens et al., 2005), the continental cumulus case based on measurements over the Atmospheric Radiation Measurement (ARM) program Cloud and Radiation Testbed (CART) site in Oklahoma (Brown et al. 2002; Lenderink et al., 2004), the trade wind cumulus case based on observations from the Barbados Oceanographic and Meteorological Experiment (BOMEX) (Siebesma et al. , 2003), and the precipitating shallow cumulus convection case based on the Rain in Cumulus over the Ocean (RICO) field experiment (Rauber et al., 2007; van Zanten et al., 2011). Semi-realistic case is based on data from the Field Experiment on Submesoscale Spatio-Temporal VAriability in Lindenberg (FESSTVaL - http://fesstval.de/) in eastern Germany on 12 July 2020 starting at 00 UTC. The observations are from the Falkenberg site. The files are organized in the following way: Data from simulations and observations are located in 'data' sub-directory.
Each idealized ICON simulation has its own sub-directory in the 'idealized/ICON-SCM' sub-directory.
Each idealized MicroHH simulation has its own sub-directory in the 'idealized/LES' sub-directory.
Data for semi-realistic case are in the 'semi-realistic directory' Python scripts 'plot-ID-SCM-ST1.py', 'plot-SR-time-var.py', 'plot-ID-SCM-ST2.py', 'plot-SR-var-z.py' processes data from idealized and semi-realistic cases. The final figures for publication are located in the 'figures' folder.

Dataset used in the study "How to visualize the Urban Heat Island in Gridded Datasets?" by Valmassoi and Keller, 2021 The code used to obtain the results can be found at 10.5281/zenodo.4686665 (or https://github.com/arjanna/UHI-calculation ) Please refer to the research paper when using the dataset

Dataset used in the study "How to visualize the Urban Heat Island in Gridded Datasets?" by Valmassoi and Keller, 2021 The code used to obtain the results can be found at 10.5281/zenodo.4686665 (or https://github.com/arjanna/UHI-calculation ) Please refer to the research paper when using the dataset

We created this data set to make the results in "Understanding the model representation of clouds based on visible and infrared satellite observations" submitted to Copernicus ACP reproducible. It contains 2D observation and synthetic SEVIRI satellite images of the exploited channels, together with SYNOP observations and model equivalents. MSG SEVIRI observations are freely available at the EUMETSAT data centre website https://www.eumetsat.int/eumetsat-data-centre. You can access the EUMETSAT DATA POLICY via this link (last accessed: 19 February 2020).

We created this data set to make the results in "Understanding the model representation of clouds based on visible and infrared satellite observations" submitted to Copernicus ACP reproducible. It contains 2D observation and synthetic SEVIRI satellite images of the exploited channels, together with SYNOP observations and model equivalents. MSG SEVIRI observations are freely available at the EUMETSAT data centre website https://www.eumetsat.int/eumetsat-data-centre. You can access the EUMETSAT DATA POLICY via this link (last accessed: 19 February 2020).

Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304

Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304