Výsledky vyhledávání
- 1.0585546 - ÚI 2025 L4 - Software
Esau, I.
Data fusion technology - kriging (TURBAN - D11).
Interní kód: TURBAN - D11
Technické parametry: The package scripts combine and interpolate provided heterogenioes datasets of high resolution (NETATMO data and PALM simulations). The software package accepts diverse meteorological data sets, namely, the meteorological observations from stations (here given by the NETATMO set of stations from the Bergen data collected for theproject, see Esau, 2023) and results of PALM simulations (here, the PALM run in large domain set2, see Esau et al., 2024). The package also utilized the digital elevation model (DEM) of the Norwegian Mapping Authorities profived in geo-tiff format.
Ekonomické parametry: The package consists of software (python scripts) and a demonstration example of usage. The aim is to obtain statistically optimal meteorological map on a regular spatial grid of high resolution. It is available under CC BY 4.0 licence.
Grant CEP: GA TA ČR(CZ) TO01000219
Klíčová slova: kriging * statistical interpolation and mapping * urban meteorology
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5281/zenodo.11073317
Trvalý link: https://hdl.handle.net/11104/0353259
Vědecká data: Zenodo.org - 2.0585521 - ÚI 2025 RIV CH L4 - Software
Bureš, Martin - Resler, Jaroslav
PALM-GeM: Geospatial Data Merging and Preprocessing into PALM.
2024
Technické parametry: PALM-GeM is built using Python and the geospatial data processing is based on the PostGIS database.
Ekonomické parametry: PALM-GeM is an advanced tool for PALM's static driver preparation. PALM-GeM is developed to work effectively with publicly available dataset in standard GIS format. It is distributed under the GNU GPL v3+ license.
Grant CEP: GA TA ČR(CZ) TO01000219
Institucionální podpora: RVO:67985807
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5281/zenodo.11067859
Trvalý link: https://hdl.handle.net/11104/0353203
Vědecká data: Zenodo.org - 3.0585520 - ÚI 2025 RIV CH L4 - Software
Krč, Pavel - Bureš, Martin - Resler, Jaroslav - Belda, M.
PALM-METEO: Advanced modular tool for preparing meteorological inputs to the PALM model.
2024
Technické parametry: PALM-METEO is built using Python and several open-source libraries. It may be used out-of-the box with the project directory as long as the all required libraries are available. For each dynamic driver, a YAML configuration file needs to be prepared.
Ekonomické parametry: PALM-METEO is an advanced and modular tool to create PALM's dynamic driver with initial and boundary conditions (IBC) and other time-varying data, typically using (but not limited to) outputs from mesoscale models. It is distributed under the GNU GPL v3+ license.
Grant CEP: GA TA ČR(CZ) TO01000219
Institucionální podpora: RVO:67985807
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5281/zenodo.11061001
Trvalý link: https://hdl.handle.net/11104/0353202
Vědecká data: Zenodo.org - 4.0585486 - ÚI 2025 RIV CZ eng L4 - Software
Krč, Pavel - Bureš, Martin - Sühring, M. - Geletič, Jan - Resler, Jaroslav
Cut-cell extension with non-orthogonal surfaces for the PALM model.
Interní kód: TO01000219-V4 ; 2024
Technické parametry: The palm_source subdirectory contains the modified source code based on the feature branch in the PALM gitlab repository. To install, extract the source code archive and follow the README.md file. Further support is available on the PALM website.
Ekonomické parametry: This dataset contains the cut-cell extension of the PALM model system. This is a significant modification which allows grid cells to be partially atmospheric and partially obstacle, as opposed to just full-atmosphere or full-obstacle, as is the case of the standard PALM model. Available under GNU GPL v3.
Grant CEP: GA TA ČR(CZ) TO01000219
Institucionální podpora: RVO:67985807
Obor OECD: Meteorology and atmospheric sciences
https://doi.org/10.5281/zenodo.10999709
Trvalý link: https://hdl.handle.net/11104/0353170
Vědecká data: Zenodo.org