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ICON model simulations for publication "The role of tropical, midlatitude and polar cloud-radiative changes for the midlatitude circulation response to global warming"

Albern, Nicole; Voigt, Aiko; Thompson, David W. J.; Pinto, Joaquim G.

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Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Forschungsbereich Troposphäre (IMK-TRO)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Forschungsdaten
Publikationsdatum 15.06.2020
Erstellungsdatum 11.02.2019 - 07.09.2019
Identifikator DOI (KIT): 10.5445/IR/1000120129
KITopen-ID: 1000120129
HGF-Programm 12.01.02 (POF III, LK 01) Proc.res.f.multisc.predictab.of weather
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation CONSTRAin (BMBF, EU 6. RP, 01LK1509A)
Schlagwörter ICON-NWP, cloud-radiative changes, climate change, midlatitude circulation

The simulations were performed with the atmospheric component of the ICON model. The model is run with the physics package used for numerical weather prediction (version 2.1.00). The simulations are performed in R2B04 horizontal resolution (approximately 160km) with 47 levels extending up to 75km. A time step of 720s is used.
We use a present-day setup and the cloud-locking method to determine the impact of regional cloud-radiative changes in the tropics, midlatitudes and polar region.

This data has to be used together with 10.5445/IR/1000094317 (ICON model simulations for publication "Cloud-radiative impact on the regional responses of the midlatitude jet streams and storm tracks to global warming") to determine both the role of global and regional cloud-radiative changes.

The numbers after T (sea-surface temperature) and C (cloud-radiative properties) in the cloud-locked simulations are

  • 1 for the control simulation
  • 2 for the simulation with a uniform SST increase.

For the regional cloud-radiative changes, the number after C refers to the cloud-radiative properties in region reg

  • TR for tropics (30S-30N)
  • ML for midlatitudes (30N-60N, 30S-60S)
  • PO for polar regions (60N-90N, 60S-90S)

T1C2TR means, for example, that we use C2 clouds in the tropics and C1 clouds in the midlatitudes and polar regions.

4d (time-lev-lat-lon) data


The files contain monthly-mean data for 29 years.

storm track (lat-lon) data

  • st_ICON-NWP_AMIP_T?C? time-mean storm track (mean over all years)

  • st_T?C? time series of annual-mean storm track data

  • st_ICON-NWP_AMIP_T?C? time-mean storm track for DJF season (mean over all years)

  • st_T?C? time series of DJF storm track data

-> analogously for MAM, JJA, SON

transient and stationary components of eddy momentum flux and eddy heat flux, (time-lev-lat-lon) data

ICON-NWP_AMIP_T?C? (global cloud changes)
ICON-NWP_AMIP_T?C? (regional cloud changes)


  • vTtrans: eddy heat flux, transient component
  • uvtrans: eddy momentum flux, transient component
  • vTstat: eddy heat flux, stationary component
  • uvstat: eddy momentum flux, stationary component

The files contain monthly-mean data for 29 years.

Art der Forschungsdaten Dataset
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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