|Last update: Sept. 2018|
This page proposes you a list of potentially interested links related to SoDa and to solar radiation in general.
Other solar resources
- CLARA, CM SAF (ECMWF): (last update: Sept. 2018)
- Cloud, Albedo, and Radiation dataset
- Spatial resolution: 0.25°
- Daily and monthly averages (=climatological means)
- SARAH-2, CM SAF (ECMWF): (last update: Sept. 2018)
- Radiation datasets: GHI, BHI, sunshine duration
- From 1983 up to d-3
- Spatial resolution: 0.05°
- 30 min, daily monthly
- Meteosat coverage only
- Exploits an Heliosat model
- Version: SARAH-2 (=v002). Next version SARAH-3 is planned for 2021 and will integrate:
- monthly values of SRI (Spectral Radiation Irradiances) of PAR and daylight
- improved retrieval over snow-covered surfaces
- Improved surface albedo (aerosol?) input
- use of (daily!) ERA-5 water vapor information
- Other CM-SAF products: (last update: Sept. 2018)
- HOAPS (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data): 1987-07-01 to 2014-12-31, 0.5°x0.5°, worldwide climatological means (eg. precititations)
- ATOVS (Tropospheric Humidity and Temperature Data): [1999-2011], 90 km x 90 km, worldwide climatological means (e.g. integrated water vapor),
- CLAAS (Cloud property dataset using SEVIRI): Feb. 2004 to Dec. 2015, 0.05° x 0.05°, climatological means limited to Meteosat Prime coverage (e.g. cloud fraction)
- TOA radiation (Solar and thermal radiation at the top of the atmosphere from MVIRI, SEVIRI and GERB): Feb. 1983 to Apr. 2015; 0.05° x 0.05°, climatological means limited to Peteosat Prime coverage (e.g. reflected solar radiation)
- Clouds: cloud fraction, cloud optical depth, cloud phase, cloud top information and cloud water path (e.g. cloud fraction on 2016-01-08)
- Radiation: top of atmosphere and surface, shortwave and longwave, surface albedo (e.g. albedo on July 2015)
- Fundamental Climate Data Record: SSMI and SSMIS: Fundamental climate data record of SSM/I and SSMIS britghness temperatures, Jul. 1978-Dec. 2015, sensor resolution, climatological mean
SolarGIS: High quality solar radiation data available worldwide.
3TIER: Wind and radiation. Global coverage. We don't really know the quality of this resource.
- S@tel-Light, provider: ENTPE
- NREL: good quality solar radiation data (up to 2016) :https://nsrdb.nrel.gov/nsrdb-viewer
This database covers North and South America from -21°S to 60°N. To obtain an hourly time series do the following:
- Start the visualization
- Deselect SUNY
- Select "PSM v2.0..1 -> Multi year GHI" to visualize the GHI map
- Switch to "Download Data -> Point"
- Click on your point of interest
- Fill-in the information sheet and "continue"
- You can use the PSM v3 database which contains information for the year 2016 (not available for PSM v2.0.1), but I did not yet test the differences between the two versions
- Do not forget to add the GHI in the attributes to have it in the time series
- Remove eventually the "convert UTC to Local Time"
You will then receive the file by e-mail. It is also possible to download TMY3 files directly usable in SAM (or PVSYST)
Other Meteorological resources
- ERA5: 31 km of spatial resolution, hourly data from 1979 onwards. Will be completed back to the 1950s and will be available in near real time in 2019. First release is 2010-2016 dataset, completed in Q3 2018 for the full release.
- EraIntérim: older, coarser resolution
- IFS: recent ECMWF database, for pay
- C-IFS: degraded version of IFS within the framework of CAMS (CAMS-IFS)
PV yield analysis tools
- PVsyst (http://www.pvsyst.com/en/)
- Helioscope (www.helioscope.com)
ECEM Demonstrator - a highly valuable tool to investigate the impact of climate change on energy supply and demand:
ECEM Demonstrator: the beta version of the ECEM Demonstrator is now available! It supports the energy industry and policy makers to assess how well energy supply will meet demand in Europe over different time horizons, focusing on the role climate has on energy supply and demand.
It gives users the capability to explore high-quality climate and energy data sets and to easily:
(i) produce maps and time series plots of these climate and energy variables,
(ii) modify the appearance of these maps and plots, and
(iii) download the underlying data and/or the maps and plots.