General description meteorological dataprocessing(Popular) Introduction
The weather monitoring is one of the main elements of the system. It can be divided in three categories:
- data bases
- data fluxes
The Data bases store all the raw data and processed data. The data fluxes represent the flow of data from external sources to databases, between databases, towards others parts of the system and the endusers. The software procedures manipulate the data.
- General description
- Goals and assumptions
Detailed information, different pages
- Meteorological data from ground stations condensed
- Interpolation method onto regular climatic grid
- Calculation of advanced parameters
- Analysis of weather indicators
- Time series analysis at station, grid and regional level
- Meteorological indicators from ecmwf model
- Future developments: cgms numerical weather based
The meteorological data processing is managed by a sub-system called Crop Growth Monitoring System (CGMS). The database structure is presented in Appendix 4. Individual tables are described in Appendix 5. Procedures may be stored as database objects, scripts or separate software packages. A detailed description can be found in Appendix 3.
Goals and assumptions Daily meteorological station data are used in two ways for crop yield evaluations. In the first place as input for the crop growth model WOFOST to simulate crops behaviors and evaluate the effects of weather on crops yields at European level (see Crop Simulation). Secondly as weather indicators for a direct evaluation of alarming situations such as drought, extreme rainfall during sowing, flowering or harvest etc. The crops behaviors are mainly influenced by the atmospheric conditions near the earth surface. Considering the data availability, resources and purpose of the system a time scale of one day and a spatial scale of 25 by 25 km are chosen as the resolutions to estimate crop yields at European scale.