16-year WRF simulation for the Southern Alps of New Zealand: 4-dimensional fields

hdl:21.14106/cefecb32562b930b3a2e34ecbdf0e1569cf4dd33

Kropac, Elena; Mölg, Thomas; Cullen, Nicolas James

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

The climatological dataset was produced using the Weather and Research Forecasting (WRF) model, version 4.2.2, configured with two nested domains at 10 km (D1) and 2 km (D2) horizontal grid spacing. It covers most of the South Island of New Zealand and is centered over Brewster Glacier in the Southern Alps. The model was forced every three hours by ERA5 reanalysis data at its outer lateral boundaries. The dataset spans the period of 1 January 2005 to 31 December 2020, providing daily output in the outer domain (D1) and 3-hourly output in the innermost domain (D2).

The data provided here are a selection of daily averages from the inner WRF domain (D2; 2-km grid spacing). They are distributed among three different file types containing 4-dimensional, 3-dimensional and time-invariant output variables, respectively. For the 4-dimensional fields, perturbation and base-state atmospheric pressure (WRF variables P and PB) and geopotential (PH and PHB) were combined to produce full model fields (PRES and GEOPT). Perturbation potential temperature (T) was converted to total potential temperature (THETA). Wind vectors (U,V, and W) were converted to mass points and rotated to earth coordinates.

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Acknowledgements: The modeling and related research was supported by the German Research Foundation (DFG) grant no. 453305163. The authors gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) under the NHR project b128dc / ATMOS ("Numerical atmospheric modeling for the attribution of climate change and for model improvement"). NHR funding is provided by federal and Bavarian state authorities. NHR@FAU hardware is partially funded by the German Research Foundation (DFG) – 440719683.
Project
NZ-PROXY (The potential of coralline algae as an indicator of climate in the Southern Hemisphere and for the evaluation of global climate models: a New Zealand case study)
Spatial Coverage
Longitude 164.72 to 173.88 Latitude -47.61 to -41.34 Altitude: 0 m to 2728.25 m
Temporal Coverage
2005-01-01 to 2020-12-31 (standard)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
401.27 GiB (430855073891 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-06-22
Download Permission
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Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Kropac, Elena; Mölg, Thomas; Cullen, Nicolas James (2023). 16-year WRF simulation for the Southern Alps of New Zealand. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/NZ-PROXY_16yrWRF

BibTeX RIS
VariableAggregationUnit
air_potential_temperature
CF
daily meanK
air_pressure
CF
daily meanPa
cloud_area_fraction_in_atmosphere_layer
CF
daily mean1
eastward_wind
CF
daily meanm s-1
geopotential
CF
daily meanm2 s-2
humidity_mixing_ratio
CF
daily meankg kg-1
mass_fraction_of_cloud_condensed_water_in_air
CF
daily meankg kg-1
mass_fraction_of_cloud_ice_in_air
CF
daily meankg kg-1
mass_fraction_of_graupel_in_air
CF
daily meankg kg-1
mass_fraction_of_liquid_precipitation_in_air
CF
daily meankg kg-1
mass_fraction_of_snow_in_air
CF
daily meankg kg-1
northward_wind
CF
daily meanm s-1
upward_air_velocity
CF
daily meanm s-1

Parent

16-year WRF simulation for the Southern Alps of New Zealand
Details

Parent project(s)

The potential of coralline algae as an indicator of climate in the Southern Hemisphere and for the evaluation of global climate models: a New Zealand case study

[Entry acronym: NZ-PROXY_16yrWRF_4D] [Entry id: 5192929]