agrolib
A set of libraries for agrometeorological modeling and climate analysis.
https://github.com/arpa-simc/agrolib
Category: Consumption
Sub Category: Agriculture and Nutrition
Keywords
agro-meteorological agrometeo climate-analysis heat-flow hydrologic-model meteorological-data-interpolation plant-development plant-water-uptake radiation-budget snow-accumulation snow-melt soil water-balance
Keywords from Contributors
weather-generator water-simulation water-management soil-water-balance soil-moisture irrigation-water-needs irrigation-forecast irrigation crop-development criteria-1d
Last synced: about 23 hours ago
JSON representation
Repository metadata
Agrolib are a set of libraries for agrometeorological modeling and climate analysis. They include a numerical solution for three-dimensional water and heat flow in the soil, water balance, meteorological data interpolation, daily weather generator, radiation budget, snow accumulation and melt, plant development and plant water uptake.
- Host: GitHub
- URL: https://github.com/arpa-simc/agrolib
- Owner: ARPA-SIMC
- License: lgpl-3.0
- Created: 2020-01-07T14:14:30.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-04-23T18:29:32.000Z (4 days ago)
- Last Synced: 2025-04-24T11:02:21.489Z (3 days ago)
- Topics: agro-meteorological, agrometeo, climate-analysis, heat-flow, hydrologic-model, meteorological-data-interpolation, plant-development, plant-water-uptake, radiation-budget, snow-accumulation, snow-melt, soil, water-balance
- Language: C++
- Homepage:
- Size: 9.05 MB
- Stars: 12
- Watchers: 5
- Forks: 1
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
README.md
agrolib
Agrolib are a set of libraries for agrometeorological modeling and climate analysis.
They include a numerical solution for three-dimensional water and heat flow in soil,
water balance 1D, meteorological data interpolation, daily data weather generator (1D and 2D), radiation budget,
snow accumulation and melt, phenology, plant development, root development, rainfall interception and plant water uptake.
soilFluxes3D library
SoilFluxes3D is a numerical solution for flow equations of water and heat in the soil, in a three-dimensional domain.
Surface water flow is described by the two-dimensional parabolic approximation of the St. Venant equation, using Manning’s equation of motion; subsurface water flow is described by the three-dimensional Richards’ equation for the unsaturated zone and by three-dimensional Darcy’s law for the saturated zone, using an integrated finite difference formulation.
Water fluxes equations may be coupled with the heat flux equations, which include diffusive, latent and advective terms. Atmospheric data (net irradiance, air temperature and relative humidity, wind speed) could be used as top boundary conditions. See CRITERIA3D for more information.
crop library
Algorithms for crop development, leaf area index, root growth and distribution, based on daily temperature.
soil library
Modified Van Genuchten-Mualem model for soil water retention curve and water conductivity, USDA soil texture classification.
solarRadiation library
Algorithms for potential/actual solar radiation computation.
waterTable library
Algorithms for the assessment of watertable depth from hydro-climatic balance.
interpolation library
Algorithms for the spatialization of meteorological data (PRAGA).
License
agrolib has been developed under contract issued by ARPAE Hydro-Meteo-Climate Service, Emilia-Romagna, Italy.
agrolib is released under the GNU LGPL license.
Authors
- Fausto Tomei [email protected]
- Gabriele Antolini [email protected]
- Antonio Volta [email protected]
- Caterina Topscano [email protected]
- Laura Costantini [email protected]
Contributions
- Vittorio Marletto [email protected]
- Marco Bittelli [email protected]
- Alberto Pistocchi [email protected]
- Tomaso Tonelli [email protected]
- Margot Van Soetendaal [email protected]
- Franco Zinoni [email protected]
- Fabrizio Nerozzi [email protected]
Owner metadata
- Name: Arpae ER - Servizio Idro Meteo Clima
- Login: ARPA-SIMC
- Email:
- Kind: organization
- Description: Agenzia regionale per la prevenzione, l'ambiente e l'energia dell'Emilia-Romagna
- Website: https://www.arpae.it/it/temi-ambientali/meteo/cosa-fa-arpae-meteo
- Location: Bologna, Italy
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/13255471?v=4
- Repositories: 37
- Last ynced at: 2023-03-02T13:30:36.779Z
- Profile URL: https://github.com/ARPA-SIMC
GitHub Events
Total
- Watch event: 1
- Delete event: 1
- Push event: 269
Last Year
- Watch event: 1
- Delete event: 1
- Push event: 269
Committers metadata
Last synced: 6 days ago
Total Commits: 3,529
Total Committers: 13
Avg Commits per committer: 271.462
Development Distribution Score (DDS): 0.592
Commits in past year: 821
Committers in past year: 9
Avg Commits per committer in past year: 91.222
Development Distribution Score (DDS) in past year: 0.523
Name | Commits | |
---|---|---|
ftomei | f****i@a****t | 1441 |
lauracosta | l****l@i****t | 1151 |
Gabriele Antolini | g****i@a****t | 348 |
Caterina Toscano | c****8@g****m | 178 |
voltAntonio | a****a@a****t | 176 |
avolta | a****a@a****t | 109 |
Antonio Volta | a****a@A****T | 67 |
giadasan | g****o@a****t | 31 |
Atena Niazi Nasihati | a****i@a****t | 8 |
EfthyC | e****h@y****r | 8 |
Emanuele Di Giacomo | e****o@a****t | 4 |
Fausto Tomei | f****i@A****T | 4 |
Laura Costantini | l****i@A****T | 4 |
Committer domains:
- arpae.it: 6
- arpa.emr.net: 3
- yahoo.gr: 1
- arpa.emr.it: 1
- iol.it: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 1
Total pull requests: 1
Average time to close issues: about 5 hours
Average time to close pull requests: about 4 hours
Total issue authors: 1
Total pull request authors: 1
Average comments per issue: 1.0
Average comments per pull request: 1.0
Merged pull request: 1
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- edigiacomo (1)
Top Pull Request Authors
- edigiacomo (1)
Top Issue Labels
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Score: 5.049856007249537