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Zitation: Savre, Julien: Dataset presented in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" by J. Savre and G. Craig. 10. Oktober 2022. Open Data LMU. 10.5282/ubm/data.321

Dataset presented in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" by J. Savre and G. Craig
Dataset presented in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" by J. Savre and G. Craig

All data contained in this dataset has been used and analyzed in detail in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" (J. Savre and G. Craig) submitted to the Journal of the Atmospheric Sciences in August 2022. The present README file describes briefly the files (naming convention, structure and content) gathered in the folder.

The dataset has been produced using the MISU-MIT Cloud and Aerosol (MIMICA) model, a limited area, high-resolution cloud resolving model dedicated to atmospheric applications. The model was configured to run a case of Radiative Convective Equilibrium (RCE) in a 128x128 km2 periodic domain over an ocean surface at fixed temperature (300 K). 20 numerical experiments were designed based on this initial setup in which both the model's horizontal resolution and the fixed cooling rate were simultaneously varied. The data is thus collected in 20 different folders: - Parent directories RCE2, RCE4, RCE8, RCE12 gather data produced at cooling rates of -2 K/d, -4 K/d, -8 K/d and -12 K/d, respectively - Sub-directories 2km, 1km, 500m, 250m, 125m gather data generated at the corresponding cooling rates and horizontal resolutions of 2 km, 1 km, 500 m, 250 m and 125 m.

cloud resolving model simulations, radiative convective equilibrium, cloud ensemble statistics, atmospheric convection
Savre, Julien
2022

[thumbnail of T_S_rce2_2km] RData
T_S_rce2_2km

5MB
[thumbnail of profiles_tot_rce2_45-60d.nc] RData
profiles_tot_rce2_45-60d.nc

35MB
[thumbnail of slice_z_0_rce2_45-60d.nc] RData
slice_z_0_rce2_45-60d.nc

278MB
[thumbnail of slice_z_800_rce2_45-60d.nc] RData
slice_z_800_rce2_45-60d.nc

193MB
[thumbnail of slice_z_1200_rce2_45-60d.nc] RData
slice_z_1200_rce2_45-60d.nc

278MB
[thumbnail of T_S_rce2_1km] RData
T_S_rce2_1km

6MB
[thumbnail of profiles_tot_rce2_60-75d.nc] RData
profiles_tot_rce2_60-75d.nc

35MB
[thumbnail of slice_z_0_rce2_60-75d.nc] RData
slice_z_0_rce2_60-75d.nc

1GB
[thumbnail of slice_z_800_rce2_60-75d.nc] RData
slice_z_800_rce2_60-75d.nc

542MB
[thumbnail of slice_z_1200_rce2_60-75d.nc] RData
slice_z_1200_rce2_60-75d.nc

1GB
[thumbnail of T_S_rce2_500m] RData
T_S_rce2_500m

8MB
[thumbnail of profiles_tot_rce2_75-85d.nc] RData
profiles_tot_rce2_75-85d.nc

23MB
[thumbnail of slice_z_0_rce2_75-85d.nc] RData
slice_z_0_rce2_75-85d.nc

2GB
[thumbnail of slice_z_800_rce2_75-85d.nc] RData
slice_z_800_rce2_75-85d.nc

1GB
[thumbnail of slice_z_1200_rce2_75-85d.nc] RData
slice_z_1200_rce2_75-85d.nc

2GB
[thumbnail of T_S_rce2_250m] RData
T_S_rce2_250m

9MB
[thumbnail of profiles_tot_rce2_90-93d.nc] RData
profiles_tot_rce2_90-93d.nc

7MB
[thumbnail of slice_z_0_rce2_90-93d.nc] RData
slice_z_0_rce2_90-93d.nc

3GB
[thumbnail of slice_z_800_rce2_90-93d.nc] RData
slice_z_800_rce2_90-93d.nc

2GB
[thumbnail of slice_z_1200_rce2_90-93d.nc] RData
slice_z_1200_rce2_90-93d.nc

3GB
[thumbnail of T_S_rce2_125m] RData
T_S_rce2_125m

11MB
[thumbnail of profiles_tot_rce2_105-108d.nc] RData
profiles_tot_rce2_105-108d.nc

7MB
[thumbnail of slice_z_0_rce2_105-108d.nc] RData
slice_z_0_rce2_105-108d.nc

14GB
[thumbnail of slice_z_800_rce2_105-108d.nc] RData
slice_z_800_rce2_105-108d.nc

10GB
[thumbnail of slice_z_1200_rce2_105-108d.nc] RData
slice_z_1200_rce2_105-108d.nc

14GB
[thumbnail of T_S_rce4_2km] RData
T_S_rce4_2km

5MB
[thumbnail of profiles_tot_rce4_45-60d.nc] RData
profiles_tot_rce4_45-60d.nc

35MB
[thumbnail of slice_z_0_rce4_45-60d.nc] RData
slice_z_0_rce4_45-60d.nc

278MB
[thumbnail of slice_z_1200_rce4_45-60d.nc] RData
slice_z_1200_rce4_45-60d.nc

278MB
[thumbnail of T_S_rce4_1km] RData
T_S_rce4_1km

6MB
[thumbnail of profiles_tot_rce4_60-75d.nc] RData
profiles_tot_rce4_60-75d.nc

35MB
[thumbnail of slice_z_0_rce4_60-75d.nc] RData
slice_z_0_rce4_60-75d.nc

1GB
[thumbnail of slice_z_1200_rce4_45-60d.nc] RData
slice_z_1200_rce4_45-60d.nc

278MB
[thumbnail of T_S_rce4_500m] RData
T_S_rce4_500m

8MB
[thumbnail of profiles_tot_rce4_75-85d.nc] RData
profiles_tot_rce4_75-85d.nc

23MB
[thumbnail of slice_z_0_rce4_75-85d.nc] RData
slice_z_0_rce4_75-85d.nc

2GB
[thumbnail of slice_z_1200_rce4_75-85d.nc] RData
slice_z_1200_rce4_75-85d.nc

2GB
[thumbnail of T_S_rce4_250m] RData
T_S_rce4_250m

10MB
[thumbnail of profiles_tot_rce4_90-93d.nc] RData
profiles_tot_rce4_90-93d.nc

7MB
[thumbnail of slice_z_0_rce4_90-93d.nc] RData
slice_z_0_rce4_90-93d.nc

3GB
[thumbnail of slice_z_1200_rce4_90-93d.nc] RData
slice_z_1200_rce4_90-93d.nc

3GB
[thumbnail of T_S_rce4_125m] RData
T_S_rce4_125m

11MB
[thumbnail of profiles_tot_rce4_105-108d.nc] RData
profiles_tot_rce4_105-108d.nc

7MB
[thumbnail of slice_z_0_rce4_105-108d.nc] RData
slice_z_0_rce4_105-108d.nc

14GB
[thumbnail of slice_z_1200_rce4_105-108d.nc] RData
slice_z_1200_rce4_105-108d.nc

14GB
[thumbnail of T_S_rce8_2km] RData
T_S_rce8_2km

5MB
[thumbnail of profiles_tot_rce8_45-60d.nc] RData
profiles_tot_rce8_45-60d.nc

35MB
[thumbnail of slice_z_0_rce8_45-60d.nc] RData
slice_z_0_rce8_45-60d.nc

278MB
[thumbnail of slice_z_1200_rce8_45-60d.nc] RData
slice_z_1200_rce8_45-60d.nc

278MB
[thumbnail of T_S_rce8_1km] RData
T_S_rce8_1km

6MB
[thumbnail of profiles_tot_rce8_60-75d.nc] RData
profiles_tot_rce8_60-75d.nc

35MB
[thumbnail of slice_z_0_rce8_60-75d.nc] RData
slice_z_0_rce8_60-75d.nc

1GB
[thumbnail of slice_z_1200_rce8_60-75d.nc] RData
slice_z_1200_rce8_60-75d.nc

1GB
[thumbnail of T_S_rce8_500m] RData
T_S_rce8_500m

8MB
[thumbnail of profiles_tot_rce8_75-85d.nc] RData
profiles_tot_rce8_75-85d.nc

23MB
[thumbnail of slice_z_0_rce8_75-85d.nc] RData
slice_z_0_rce8_75-85d.nc

2GB
[thumbnail of slice_z_1200_rce8_75-85d.nc] RData
slice_z_1200_rce8_75-85d.nc

2GB
[thumbnail of T_S_rce8_250m] RData
T_S_rce8_250m

9MB
[thumbnail of profiles_tot_rce8_90-93d.nc] RData
profiles_tot_rce8_90-93d.nc

7MB
[thumbnail of slice_z_0_rce8_90-93d.nc] RData
slice_z_0_rce8_90-93d.nc

3GB
[thumbnail of slice_z_1200_rce8_90-93d.nc] RData
slice_z_1200_rce8_90-93d.nc

3GB
[thumbnail of T_S_rce8_125m] RData
T_S_rce8_125m

11MB
[thumbnail of profiles_tot_rce8_105-108d.nc] RData
profiles_tot_rce8_105-108d.nc

7MB
[thumbnail of slice_z_0_rce8_105-108d.nc] RData
slice_z_0_rce8_105-108d.nc

14GB
[thumbnail of slice_z_1200_rce8_105-108d.nc] RData
slice_z_1200_rce8_105-108d.nc

14GB
[thumbnail of T_S_rce12_2km] RData
T_S_rce12_2km

5MB
[thumbnail of profiles_tot_rce12_45-60d.nc] RData
profiles_tot_rce12_45-60d.nc

37MB
[thumbnail of slice_z_0_rce12_45-60d.nc] RData
slice_z_0_rce12_45-60d.nc

297MB
[thumbnail of slice_z_1200_rce12_45-60d.nc] RData
slice_z_1200_rce12_45-60d.nc

297MB
[thumbnail of T_S_rce12_1km] RData
T_S_rce12_1km

6MB
[thumbnail of profiles_tot_rce12_60-75d.nc] RData
profiles_tot_rce12_60-75d.nc

35MB
[thumbnail of slice_z_0_rce12_60-75d.nc] RData
slice_z_0_rce12_60-75d.nc

1GB
[thumbnail of slice_z_1200_rce12_60-75d.nc] RData
slice_z_1200_rce12_60-75d.nc

1GB
[thumbnail of T_S_rce12_500m] RData
T_S_rce12_500m

8MB
[thumbnail of profiles_tot_rce12_75-85d.nc] RData
profiles_tot_rce12_75-85d.nc

23MB
[thumbnail of slice_z_0_rce12_75-85d.nc] RData
slice_z_0_rce12_75-85d.nc

2GB
[thumbnail of slice_z_1200_rce12_75-85d.nc] RData
slice_z_1200_rce12_75-85d.nc

2GB
[thumbnail of T_S_rce12_250m] RData
T_S_rce12_250m

10MB
[thumbnail of profiles_tot_rce12_90-93d.nc] RData
profiles_tot_rce12_90-93d.nc

7MB
[thumbnail of slice_z_0_rce12_90-93d.nc] RData
slice_z_0_rce12_90-93d.nc

3GB
[thumbnail of slice_z_1200_rce12_90-93d.nc] RData
slice_z_1200_rce12_90-93d.nc

3GB
[thumbnail of T_S_rce12_125m] RData
T_S_rce12_125m

11MB
[thumbnail of profiles_tot_rce12_105-108d.nc] RData
profiles_tot_rce12_105-108d.nc

7MB
[thumbnail of slice_z_0_rce12_105-108d.nc] RData
slice_z_0_rce12_105-108d.nc

15GB
[thumbnail of slice_z_1200_rce12_105-108d.nc] RData
slice_z_1200_rce12_105-108d.nc

15GB
[thumbnail of Readme] Plain Text (Readme)
README - Ergänzendes Material

46kB

DOI: 10.5282/ubm/data.321

Dieser Datensatz steht unter der Creative Commons Lizenz
CC BY-NC 4.0

Be­schrei­bung

All data contained in this dataset has been used and analyzed in detail in the manuscript "The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations" (J. Savre and G. Craig) submitted to the Journal of the Atmospheric Sciences in August 2022. The present README file describes briefly the files (naming convention, structure and content) gathered in the folder. The dataset has been produced using the MISU-MIT Cloud and Aerosol (MIMICA) model, a limited area, high-resolution cloud resolving model dedicated to atmospheric applications. The model was configured to run a case of Radiative Convective Equilibrium (RCE) in a 128x128 km2 periodic domain over an ocean surface at fixed temperature (300 K). 20 numerical experiments were designed based on this initial setup in which both the model's horizontal resolution and the fixed cooling rate were simultaneously varied. The data is thus collected in 20 different folders: - Parent directories RCE2, RCE4, RCE8, RCE12 gather data produced at cooling rates of -2 K/d, -4 K/d, -8 K/d and -12 K/d, respectively - Sub-directories 2km, 1km, 500m, 250m, 125m gather data generated at the corresponding cooling rates and horizontal resolutions of 2 km, 1 km, 500 m, 250 m and 125 m.

Stichwörter

cloud resolving model simulations, radiative convective equilibrium, cloud ensemble statistics, atmospheric convection

Quelle

"The sensitivity of convective cloud ensemble statistics to horizontal resolution in idealized RCE simulations", J. Savre and G. Craig, Journal of the Atmospheric Sciences

Dokumententyp:Daten
Name der Kontakt­person:Savre, Julien
E-Mail der Kontaktperson:julien.savre at lmu.de
Fächer:Physik
Dewey Dezimal­klassi­fikation:500 Naturwissenschaften und Mathematik > 550 Geowissenschaften
ID Code:321
Eingestellt von: Dr Julien Savre
Eingestellt am:10. Okt. 2022 13:11
Letzte Änderungen:14. Okt. 2022 12:51

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