- Thumbnail
- Resource ID
- 2cf08f00-e6e5-11e9-8c53-005056920f9c
- Title
- Solar energy supply
- Date
- June 15, 2019, 8:25 p.m., Creation
- Abstract
- Solar energy supply was assessed using different variables. Solar radiation (kJ m-2 day-1) (1970-2000) from word climate database, digital elevation model from Copernicus (to calculate aspect and slope) and insolation data. Solar energy data was re-sampled to 25 m resolution. Subsequently, all the variables reclassified from the least/low (1) to the most/high (5) favorable conditions/values according to natural breaks (jenks) interval. The final map was produced using a weight sum approach. It was attributed a weight of 50% to solar radiation and 25% to slope and aspect. The final results were validated with insolation data from 14 meteorological stations (r2=0.38).
- Edition
- --
- Owner
- Geoadmin
- Point of Contact
- m.kalinauskas@mruni.eu
- Purpose
- --
- Maintenance Frequency
- unknown
- Type
- grid
- Restrictions
- otherRestrictions
- Data can be accessed on-line
- License
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International
- Language
- eng
- Temporal Extent
- Start
- --
- End
- --
- Supplemental Information
- No information provided
- Data Quality
- Solar radiation (kJ m-2 day-1) (1970-2000) 1 x 1 km (Raster) From: http://worldclim.org/version2
Digital Elevation model (25 m) from: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1
Insolation data: Lithuanian Hydrometereological survey.
- Extent
-
- x0: 5000000.000000000000000
- x1: 5416375.000000000000000
- y0: 3475450.000000000000000
- y1: 3826625.000000000000000
- Spatial Reference System Identifier
- EPSG:3035
- Keywords
- no keywords
- Category
- Provisioning ES
- Regions
-
Lithuania