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Access test data for the NCAR/UCAR Weather Research and Forecasting (WRF) Model
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Support level for this datasetThis data is provided as a 'self-serve' - documentation is provided, but no support service. However, if the data seems broken or corrupt, please report it via our support portal and we will respond during normal office hours. Support requests should be raised via the ECMWF Support Portal. |
About this Dataset
ECMWF has provided a static 3-days test dataset to run WRF model based on vtable.txt (see below).
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Data can be accessed from: ftp://ftp.ecmwf.int/pub/wrf |
The data provided:
- 0.1 degree resolution (~9km)
- from the deterministic (HRES) model:
- runs 00/12
- hourly time steps to step 90, 3-hourly to step 144, and 6-hourly to step 240.
- runs 06/18
- hourly time steps to step 90
- runs 00/12
A table of the parameters included can be found below and further documentation about WRF can be found here: https://www.mmm.ucar.edu/weather-research-and-forecasting-model
A dedicated user guide for WRF-ARW is available here: http://www2.mmm.ucar.edu/wrf/users/docs/user_guide_v4/contents.html and for HWRF: https://dtcenter.org/HurrWRF/users/docs/index.php
The files are provided in a compressed tar.gz format, one per run. If you decompress the tar file, you will get 1 file per step ready to be used by WRF. This is the name format:
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ECMWF_<DATE>_<BASE_TIME>_<3_DIGIT_STEP>_<AREA>.grb |
For example, the file ECMWF_20180601_0000_europe.tar.gz contains:
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ECMWF_20180601_0000_000_europe.grb ECMWF_20180601_0000_001_europe.grb ECMWF_20180601_0000_002_europe.grb ECMWF_20180601_0000_003_europe.grb ... |
In case you need to manipulate the GRIB files, we recommend ecCodes. In particular you can use the grib_copy tool.
If you wish to trial further real-time data for up to 4-weeks for non-commercial and non-operational use, please contact Data Services: data.services@ecmwf.int
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In order to download anonymously, please connect using anonymous (or ftp) and no password: user@local ~ $> ftp anonymous@ftp.ecmwf.int Or to download a file directly:
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Parameter ID | Parameter Name | Levels Provided | Name | Units |
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129 | GH | 100, 250, 500, 850, 1000 hPa | Geopotential Height | m |
130 | TT | 100, 250, 500, 850, 1000 hPa | Temperature | K |
131 | UU | 100, 250, 500, 850, 1000 hPa | U component of wind velocity | m/s |
132 | VV | 100, 250, 500, 850, 1000 hPa | V component of wind velocity | m/s |
157 | RH | 100, 250, 500, 850, 1000 hPa | Relative Humidity | % |
165 | 10U | Surface (10m) | U component of wind velocity | m/s |
166 | 10V | Surface (10m) | V component of wind velocity | m/s |
167 | 2T | Surface (2m) | 2m Temperature | K |
168 | 2D | Surface (2m) | 2m Dewpoint Temperature | K |
172 | LSM | Surface | Land Sea Mask | 0/1 Flag |
134 | SP | Surface | Surface Pressure | Pa |
151 | MSL | Surface | Mean Sea Level Pressure | Pa |
235 | SKT | Surface | Skin Temperature | K |
31 | CI | Surface | Sea Ice Fraction | fraction |
34 | SST | Surface | Sea Surface Temperature | K |
33 | RSN | Surface | Snow Density | kg/m3 |
141 | SD | Surface | Snow Depth | m of water equivalent |
139 | STL1 | Surface | Soil Temperature 0-7cm | K |
170 | STL2 | Surface | Soil Temperature 7-28cm | K |
183 | STL3 | Surface | Soil Temperature 28-100cm | K |
236 | STL4 | Surface | Soil Temperature 100-255cm | K |
39 | SWVL1 | Surface | Soil Moisture 0-7cm | m3 / m3 |
40 | SWVL2 | Surface | Soil Moisture 7-28cm | m3 / m3 |
41 | SWVL3 | Surface | Soil Moisture 28-100cm | m3 / m3 |
42 | SWVL4 | Surface | Soil Moisture 100-255cm | m3 / m3 |
The MARS retrieval scripts (for those with MARS archive access):
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retrieve, class = od, stream = oper, type = fc, expver = 0001, date = 20180601, time = 00/12, step = 0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/86/87/88/89/90/93/96/99/102/105/108/111/114/117/120/123/126/129/132/135/138/141/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240, area = 73.5/-27/33/45, #europe N/W/S/E area levtype = pl, levelist = 1000/850/500/250/100/50, param = 129.128/130.128/157.128/131.128/132.128, grid = 0.1/0.1, target = "ECMWF_PL_[DATE]_[TIME]_europe.grb" |
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retrieve, class = od, stream = oper, type = fc, expver = 0001, date = 20180601, time = 00/12, step = 0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/86/87/88/89/90/93/96/99/102/105/108/111/114/117/120/123/126/129/132/135/138/141/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240, area = 73.5/-27/33/45, #europe N/W/S/E area levtype = sfc, param = 129.128/165.128/166.128/167.128/168.128/172.128/134.128/151.128/235.128/31.128/34.128/141.128/139.128/170.128/183.128/236.128/39.128/40.128/41.128/42.128/33.128, grid = 0.1/0.1, target = "ECMWF_SFC_[DATE]_[TIME]_europe.grb" |
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