AdamRJensen
commented
1 day ago Introduction
Data is useful for
- Radiation Model development
- Benchmarking data sets
- Tuning datasets
- Simulation of stuff
- Climate radiation budget
Describing the need
- Hard to find stations
- Lower quality of data
- Led to poor geographical coverage of studies
- Higher uncertainties for PV projects
Highlight how the BSRN is used in so many studies
- point out 1-3 studies and how they could have had a lot more
- Since this the last global benchmark, known stations in that period have increased by ## stations
Methodology
Finding stations
- Mention how this project sprang out of Task 16 benchmark
- Search the web... reports, publications, presentations,
- Reached out to scientific communities for input
- Benchmarking reports (cite a few)
Classifications / Scope
- Multi-component (classification based on instrumentation)
- Not necessarily high quality (because that depends on more than instrumentation and can vary from year to year.
- Discuss why multi-component? To limit the number of stations because there are thousands of single pyranometer stations in national meteorological networks
Setup/tooling
- Simple CSV file (easy to distribute and git and edit)
- Enhancement with metadata
Statistics
- See the statistics page
Recommendations
- Standardized file format
- File server like Zenodo!
- Network/repository for science stations (lower quality than BSRN)
- Name drop iotools (how many does it serve)
Limitations
- Russia, non-western countries
- Historical
- Guaranteed missing stations
Future outlook
- Keep it updated! Community effort (accept contributions, PRs)
Other
Use the terminology "known stations" Invite Gueymard as co-author
Images: