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Description
WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 113-119 of the year 2021 (April 23 - April 29, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
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CC BY-NC-SANon-commercial - Share-alike
Details
- Year of publication:
- 2021
- Verification date:
- 2021-06-30
- Creation date:
- 2021
- Dataset language:
- English
- Fields of science:
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- Civil engineering and transport (Engineering and Technology)
- Earth and related environmental sciences (Natural sciences)
- environmental engineering, mining and energy (Engineering and Technology)
- DOI:
- DOI ID 10.34808/s30x-z765 open in new tab
- Series:
- Verified by:
- Gdańsk University of Technology
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