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RRA WRF simulations of the mid-Pliocene and present-day conditions over High Mountain Asia

The data was produced employing the Advanced Research Weather Research and Forecasting model (WRF) version 4.1.2 (Skamarock et al., 2019) for the dynamical downscaling of GCM data. WRF is a fully compressible non-hydrostatic atmospheric simulation system. Two sensitivity simulations were conducted using 15-year time slices for the present day and the mid-Pliocene simulated by ECHAM5 as initial and boundary conditions (Mutz et al., 2018; Botsyun et al., 2020). Except for the atmospheric forcing data, other parameters were the same in both simulations.


The model domain has a grid spacing of 30 km. In the vertical direction, 28 terrain-following eta-levels were used. The model time steps are 120 seconds with a 6 hourly data output and are aggregated to daily values in post processing. The boundary conditions were updated every 6 h. The daily re-initialization strategy from Maussion et al. (2011) and Maussion et al. (2014) were employed: each simulation starts at 12 UTC and contains 36 h, with the first 12 h as the spin-up time. This strategy kept the large-scale circulation patterns simulated by WRF closely constrained by the forcing data, while concurrently allowing WRF to develop the mesoscale atmospheric features. Physical parameterization schemes were consistent with the ones used for high-resolution dynamical downscaling in High Mountain Asia in Wang et al. (2021). The data format follows the guidelines of the [UC]² Data Standard ( http://www.uc2-program.org/uc2_data_standard.pdf ).

Simple

Alternate title

RRA WRF simulations of the mid-Pliocene and present-day conditions over High Mountain Asia

Date (Creation)
2021-06-28
Citation identifier
None
Citation identifier
doi:10.26050/WDCC/RRA_WRF_simulations / WRF dynamical downscaling of present-day and mid-Pliocene atmospheric conditions over High Mountain Asia
Originator
  Technische Universität Berlin - Prof. Dr. Dieter Scherer
https://www.klima.tu-berlin.de/
Other citation details

doi:10.26050/WDCC/RRA_WRF_simulations

Author
  Technische Universität Berlin - Xun Wang
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Benjamin Schmidt
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Prof. Dr. Dieter Scherer
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Dr. Marco Otto
https://www.klima.tu-berlin.de/
Point of contact
  Technische Universität Berlin - Dr. Marco Otto
https://www.klima.tu-berlin.de/
Theme
  • WRF

Theme
  • model data

Theme
  • dynamical downscaling

Theme
  • refined analysis

Theme
  • regional climate modeling

Language
English
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Begin date
1903-01-01
End date
1917-12-31
Begin date
2000-01-01
End date
2014-12-31
Distribution format
  • NetCDF ( network Common Data Format )

Distributor

Distributor
 
OnLine resource
http://doi.org/doi:10.26050/WDCC/RRA_WRF_simulations
Hierarchy level
Series
File identifier
de.dkrz.wdcc.iso3889342 XML
Hierarchy level
Series
Hierarchy level name

RRA_WRF_simulations

Date stamp
2021-07-14T04:25:20
Metadata standard name

ISO 19115

Metadata standard version

ISO 19139 / DKRZ ISO Simple Profile V1.0

Author
  Technische Universität Berlin - Xun Wang
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Benjamin Schmidt
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Prof. Dr. Dieter Scherer
https://www.klima.tu-berlin.de/
Author
  Technische Universität Berlin - Dr. Marco Otto
https://www.klima.tu-berlin.de/
Point of contact
  Technische Universität Berlin - Dr. Marco Otto
https://www.klima.tu-berlin.de/
Originator
  Technische Universität Berlin - Prof. Dr. Dieter Scherer
https://www.klima.tu-berlin.de/
Dataset URI

http://doi.org/doi:10.26050/WDCC/RRA_WRF_simulations

 
 

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Spatial extent

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Keywords

WRF dynamical downscaling model data refined analysis regional climate modeling

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