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Verify quality of solar & meteo measurements
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Detailed solar resource validation and assessment
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Combining satellite data with on-site measurements
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Correction of errors in ground-measured data
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Customized Solargis GIS data for your applications
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Estimated energy uncertainties and related data inputs
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Understand output variability across wide geo regions
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Learn how (in)correct pyranometer measurements are

Learn how (in)correct pyranometer measurements are

The accuracy of on-site pyranometer readings can be affected by a number of different factors. Therefore, it is vital to have reliable reference data to understand how correct your measurements are.

Thanks to data analysis supported by our satellite-based Time Series, Solargis is able to identify and flag errors in measured data and recommend improvements to reduce the occurrence of these issues.

Use ground measurements for site adaptation

Use ground measurements for site adaptation

The output of models may not always perfectly reflect local conditions.

Measured data combined with time series help improve our models and provide you with more precise inputs. 

By complementing satellite irradiation data with ground measurements, you can reduce the uncertainty of energy output estimates.

Regular, bankable reporting for financial stakeholders

Regular, bankable reporting for financial stakeholders

Measurements from operational power plants often come from multiple sensors.

We take these measurements, run quality controls, harmonize, and gap-fill data to assemble a complete time series that is ready for regular performance evaluation.

We help you convert your on-site measurements into bankable reports trusted by financial stakeholders all around the world.

Related products and services#

Visualize complex and big solar datasets
Compare measured data to model outputs
Identify and clean errors from measurements
Harmonize multisource input streams
Streamline solar data management

One of the key challenges of measured solar irradiance data is the high occurrence of anomalous values.

The Quality Control of Solar & Meteo Measurements service, based on our experience with measurements from hundreds of locations globally, helps you identify errors and prepare the datasets for the next steps of your project.

Combine satellite data with on-site measurements to reduce the uncertainty of estimated energy output and achieve more accurate financial estimates.

The Site Adaptation of Solargis Models service will give you locally enhanced solar and meteo parameters, enabling you to reduce uncertainty of power plant design and energy yield simulations.

Useful resources#

How to validate solar models using ground measurements

How to validate solar models using ground measurements

Since there is effectively no updated independent study that compares all databases globally, validation statistics are one of the most important tools when comparing models from different providers.

How meteorological factors can affect the accuracy of your ground measured data

How meteorological factors can affect the accuracy of your ground measured data

In this webinar we cover how to evaluate the impact of the different factors that can affect the accuracy of your ground-measured data.

Growing Pain #3: On-site measurements in large-scale solar

Growing Pain #3: On-site measurements in large-scale solar

Designing and operating a large-scale solar project without fully understanding its potential output inevitably increases risks throughout its lifecycle. One part of the solution for developers is validated solar resource data calculated through satellite-based models, helping produce accurate energy yield calculations.

Trusted by 1200+ organizations worldwide#

9 000+

Projects supported by our bankable solar & meteo data, software, and services every year

24

Years of experience with solar projects and improving industry standards

99%

Coverage of the world’s population with 30 years of solar and meteorological data

“Through Solargis and GroundWork’s robust statistical processes and quality control measures, we are able to focus efforts on projects slated for success and financial viability.”
Jolyon Dent
VP of Analytics
Convergent Energy + Power
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