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About SolargisWe help the solar energy industry to make better decisions by empowering our customers with reliable and accurate data on solar electricity potential during all stages of a project, from prospection to project development and operation.

Hundreds of organisations, worldwide, from start-ups to large enterprises use our data, online software and consultancy services to reduce weather-related risk and to optimise management of solar power assets.

ProspectScreen and benchmark project opportunities

EvaluateMake detailed

assessment of electricity production for planned

power plants

MonitorMonitor performance of operational assets

on a regular basis

ForecastForecast solar power

production for optimized asset management

Solar RoadmapServices to help governmental agencies, utilities, and grid operators plan and implement strategy for national or regional solar development

Global Horizontal Irradiation Middle East and North Africa

Essential solar resource data for energy yield calculation and performance assessment of PV power plants

-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 %

Difference from long-term average

GHI annual variability2018

2017

2016

Global Horizontal Irradiation Middle East and North Africa

850 1000 1150 1300 1450 1600 1750 1900 2050 2200 2350 2500

2.33 2.74 3.15 3.56 3.97 4.38 4.79 5.20 5.61 6.02 6.43 6.84

kWh/m²

Yearly totals

Daily totals

Long-term average of global horizontal irradiation Data sources: Solar resource database © 2019 Solargis • Shuttle Radar Topography Mission, version 2 © 2000–2006 SRTM Mission Team • Vector dataset VMAP0 2006 • Map data © 2017 OpenStreet-Map.org contributors • GeoNames.org • Solargis database version: 2.1 • Map issue date: 2019-02-11. Copyright © 2019 Solargis. Disclaimer: Considering the nature of climate fluctuations, interannual and long-term changes, as well as the uncertainty of measurements and applied methods, Solargis does not take any responsibility whatsoever, and does not give any warranty on the accuracy of the data that were used to produce this map. Solargis has done its utmost to assess climate conditions based on the best available data, software, and knowledge. It is recommended that this map be used as a guideline rather than an instrument for building the solar power systems. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means without the prior written permission of the copyright owner.

This map represents the long-term average of yearly totals of global horizontal irradiation (GHI), calculated for a period of 25 years (1994-2018) for North Africa, West Turkey, South Europe and 20 years (1999-2018) for the Middle East. Knowledge of quantity and reliability of GHI is essential for solar resource assessment of the region, assessment of financial viability and accurate analysis of photovoltaic power plants performance throughout their operational lifetime.

The calculation of solar radiation in the region is based on the use of data from geostationary meteorological satellites (operated by EUMETSAT), and data from global atmospheric and meteorological models (operated by ECMWF, NOAA and NASA). Primary time step of solar resource parameters is 15 and 30 minutes (Meteosat satellite missions). The spatial resolution of the solar resource data in this map is approx. 1 km.

Solargis database, in its global extent, features 10/15/30 minute (depending on the satellite mission) time-series data, which can be

aggregated into hourly, daily, monthly, yearly and long-term average data values. The data is available globally, between latitudes 60N and 55S, and is updated in real time. Nominal spatial resolution of data is up to 250 m to identify details driven by terrain elevation and shading.

Solargis solar radiation has been validated with high-quality ground measurements from 250+ solar meteorological stations worldwide. The uncertainty of GHI annual estimates is within range of ±4% and ±8%. We are capable to further reduce data uncertainty locally or regionally using short-term (1-2 years) ground measurements and model adaptation methods.

Solar and meteorological data provided by Solargis help to reduce the uncertainty of solar energy projects, save costs and increase the return on the investments. For more information about the data, maps and the software applications visit our website solargis.com.

How do we calculate the data behind the map?