The Experts below are selected from a list of 3741 Experts worldwide ranked by ideXlab platform
Christoph Schillings - One of the best experts on this subject based on the ideXlab platform.
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Solar Resource mapping in Pakistan : final model validation report
2020Co-Authors: Steffen Stokler, Christoph SchillingsAbstract:This model validation report gives an overview on the results achieved by comparing the Solar radiation values based on satellite data developed in phase one with ground measurement data achieved up to the present time during the measurement campaign in phase two of the Solar Resource Mapping Project for Pakistan. This work described here is part of phase three of the project. After a short introduction of applied comparison method, the comparison between satellite-modelled Solar data and ground Solar measurements is described for every site. For each site, the final chapter shortly describes the results of the comparison and validation between ground data and satellite-based data.
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Solar Resource assessment study for pakistan
Renewable & Sustainable Energy Reviews, 2016Co-Authors: Steffen Stokler, Christoph Schillings, Birk KraasAbstract:Solar Resource assessment becomes a very important factor for planners of Photovoltaic (PV) and Concentrated Solar Power (CSP) systems. Choice between nearby locations can make a difference if a plant is profitable or not, especially in a climatic region with complex topography as can be found in Pakistan. Nevertheless, Pakistan’s geographic location and climate offers a very high potential for Solar energy applications. The Solar Resource assessment study presented in this article describes the approach and set-up required by the World Bank’s Energy Sector Management Assistance Program (ESMAP).11Further details are available at https://www.esmap.org/ and http://www.esmap.org/RE_Mapping (02/2015). The project aims to create a validated Solar atlas for Pakistan based on a combination of satellite data and ground measurements to support country-driven efforts to improve renewable energy Resource awareness and exploitation. There are several country-specific, ESMAP-funded projects conducted by the World Bank Group (WBG) that cover comprehensive mapping and geospatial planning, including ground-based data collection. The Solar Resource estimation of Pakistan was one of the first projects to be approved within the program.The final and validated dataset ultimately will be published in the International Renewable Energy Agencies’ (IRENA) global atlas for renewable energy.22Further details are available at https://www.irena.org/ and http://www.irena.org/globalatlas/ (02/2015).
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Solar Resource mapping in Pakistan : site evaluation report - Hyderabad Pakistan Meteorological Department (PMD)
2015Co-Authors: Birk Kraas, Christoph Schillings, Qazi SabirAbstract:A team of the Solar vendor consortium for the ESMAP Pakistan Solar Resource Mapping Project visited the Pakistan Meteorological Department (PMD) office at Hyderabad city on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. One site on the office rooftop has been examined. Due to the sub-optimal shading profile and the location in the inner city center, the site is not recommended for installation of an ESMAP ground measurement station.
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Solar Resource mapping in Pakistan : site evaluation report - Hyderabad Airport, Pakistan Meteorological Department
2015Co-Authors: Christoph Schillings, Birk Kraas, Qazi SabirAbstract:A team of the Solar vendor consortium for the ESMAP Pakistan Solar Resource Mapping Project visited the Pakistan Meteorological Department (PMD) office at Hyderabad airport on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. Two different sites have been examined on the campus, on the roof of a building of the PMD location and one on the ground. Due to the airport and especially due to industrial facilities in close proximity, the site is not recommended for installation of an ESMAP ground measurement station.
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Solar Resource mapping in Pakistan : site evaluation report - Nok Kundi, Pakistan meteorological department
2015Co-Authors: Christoph Schillings, Qazi Sabir, Birk KraasAbstract:A team of the Solar vendor consortium for the ESMAP Pakistan Solar Resource Mapping Project visited the Pakistan Meteorological Department (PMD) office in Nok Kundi on August 31, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. Four different sites have been examined on the campus, three on the roof of office buildings on the PMD location and one on the ground at the meteorological measurement station of PMD. Site 2, the ground site at the meteorological station, is recommended for the installation of a Tier2 meteorological station (CSP Services MDI automatic weather station).
Birk Kraas - One of the best experts on this subject based on the ideXlab platform.
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Solar Resource assessment study for pakistan
Renewable & Sustainable Energy Reviews, 2016Co-Authors: Steffen Stokler, Christoph Schillings, Birk KraasAbstract:Solar Resource assessment becomes a very important factor for planners of Photovoltaic (PV) and Concentrated Solar Power (CSP) systems. Choice between nearby locations can make a difference if a plant is profitable or not, especially in a climatic region with complex topography as can be found in Pakistan. Nevertheless, Pakistan’s geographic location and climate offers a very high potential for Solar energy applications. The Solar Resource assessment study presented in this article describes the approach and set-up required by the World Bank’s Energy Sector Management Assistance Program (ESMAP).11Further details are available at https://www.esmap.org/ and http://www.esmap.org/RE_Mapping (02/2015). The project aims to create a validated Solar atlas for Pakistan based on a combination of satellite data and ground measurements to support country-driven efforts to improve renewable energy Resource awareness and exploitation. There are several country-specific, ESMAP-funded projects conducted by the World Bank Group (WBG) that cover comprehensive mapping and geospatial planning, including ground-based data collection. The Solar Resource estimation of Pakistan was one of the first projects to be approved within the program.The final and validated dataset ultimately will be published in the International Renewable Energy Agencies’ (IRENA) global atlas for renewable energy.22Further details are available at https://www.irena.org/ and http://www.irena.org/globalatlas/ (02/2015).
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Solar Resource mapping in Pakistan : site evaluation report
2015Co-Authors: Qazi Sabir, Birk Kraas, Christoph SchillingsAbstract:A team of the Solar vendor consortium for the ESMAP Pakistan Solar Resource Mapping Project visited the Pakistan Meteorological Department (PMD) office at Hyderabad airport on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. Two different sites have been examined on the campus, on the roof of a building of the PMD location and one on the ground. Due to the airport and especially due to industrial facilities in close proximity, the site is not recommended for installation of an ESMAP ground measurement station.
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Solar Resource mapping in Pakistan : site evaluation report - Tando Jam
2015Co-Authors: Christoph Schillings, Qazi Sabir, Birk KraasAbstract:A team of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the Pakistan Meteorological Department (PMD) AgroMet office on the campus of Sindh Agriculture University on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. One site on the office rooftop has been examined. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
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Solar Resource mapping in Pakistan : site evaluation report - Peshawar
2015Co-Authors: Birk Kraas, Qazi Sabir, Christoph SchillingsAbstract:A member of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the University of Engineering and Technology in Peshawar on March 09, 2015. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. The site was recommended for the installation of a tier two meteorological station. It replaced the formerly selected site of the Pakistan Meteorological Department in Peshawar, where installation of the station proved to be unfeasible. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
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Solar Resource mapping in Pakistan : site evaluation report - Hyderabad
2015Co-Authors: Christoph Schillings, Birk Kraas, Qazi SabirAbstract:A team of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the Pakistan Meteorological Department (PMD) office at Hyderabad city on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. One site on the office rooftop has been examined. Due to the sub-optimal shading profile and the location in the inner city center, the site was not recommended for installation of an ESMAP ground measurement station. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
S. Wilcox - One of the best experts on this subject based on the ideXlab platform.
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Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Escalante Tri-State - Prewitt, New Mexico (Data)
2012Co-Authors: S. Wilcox, A. AndreasAbstract:The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the Solar industry to establish high quality Solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL Solar Resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale Solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.
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assessment of spatial and temporal variability in the us Solar Resource from radiometric measurements and predictions from models using ground based or satellite data
Solar Energy, 2011Co-Authors: Christian A. Gueymard, S. WilcoxAbstract:Abstract The US National Renewable Energy Laboratory (NREL) is responding to a growing demand for high-accuracy Solar Resource data with uncertainties significantly lower than those of existing Solar Resource datasets, such as the National Solar Radiation Database (NSRDB). Measurements for long-term Solar Resource characterizations require years to complete, which is an unacceptable timeline for the rapidly emerging needs of renewable energy applications. This contribution seeks methods of reducing the uncertainty of existing long-term Solar Resource datasets by incorporating lower-uncertainty site-specific ground measurements of a limited period of record. In particular, various techniques are being explored to make full use of the existing high-resolution radiation data available in the NSRDB and other sources, and extrapolate them over time using locally measured data and other supportive information. The interannual variability in global and direct radiation is studied here using long-term data at various sites. NSRDB’s modeled data for the 1998–2005 period are compared to quality-controlled measurements to assess the performance of the model, which is found to vary greatly depending on climatic condition. The reported results are encouraging for applications involving concentrators at very sunny sites. Large seasonal biases are found at some cloudy sites. Various improvements are proposed to enhance the quality of the existing model and modeled data. The measurement of Solar radiation to characterize the Solar climate for renewable energy and other applications is a time consuming and expensive operation. Full climate characterization may require several decades of measurements—a prospect that is not practical for an industry intent on rapid deployment of Solar technologies. This study demonstrates that the consistency of the Solar Resource in both time and space varies widely across the United States. The mapped results here illustrate regions with high and low variability and provide readers with quick visual information to help them decide where and how long measurements should be taken for a particular application. The underlying data that form these maps are also available from NREL to provide users the opportunity for more detailed analysis.
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Implementing Best Practices for Data Quality Assessment of the National Renewable Energy Laboratory?s Solar Resource and Meteorological Assessment Project: Preprint
2011Co-Authors: S. Wilcox, P. MccormackAbstract:Effective Solar radiation measurements for research and economic analyses require a strict protocol for maintenance, calibration, and documentation to minimize station downtime and data corruption. The National Renewable Energy Laboratory's Concentrating Solar Power: Best Practices Handbook for the Collection and Use of Solar Resource Data includes guidelines for operating a Solar measurement station. This paper describes a suite of automated and semi-automated routines based on the best practices handbook as developed for the National Renewable Energy Laboratory Solar Resource and Meteorological Assessment Project. These routines allow efficient inspection and data flagging to alert operators of conditions that require immediate attention. Although the handbook is targeted for concentrating Solar power applications, the quality-assessment procedures described are generic and should benefit many Solar measurement applications. The routines use data in one-minute measurement resolution, as suggested by the handbook, but they could be modified for other time scales.
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Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP); Aurora, Colorado (Data)
2011Co-Authors: S. Wilcox, A. AndreasAbstract:Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the Solar industry tests, validates, and demonstrates advanced Solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has established a high quality Solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL Solar Resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale Solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.
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Solar Resource & Meteorological Assessment Project (SOLRMAP): Sun Spot Two; Swink, Colorado (Data)
2010Co-Authors: S. Wilcox, A. AndreasAbstract:The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the Solar industry to establish high quality Solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL Solar Resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale Solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.
Qazi Sabir - One of the best experts on this subject based on the ideXlab platform.
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Solar Resource mapping in Pakistan : site evaluation report
2015Co-Authors: Qazi Sabir, Birk Kraas, Christoph SchillingsAbstract:A team of the Solar vendor consortium for the ESMAP Pakistan Solar Resource Mapping Project visited the Pakistan Meteorological Department (PMD) office at Hyderabad airport on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. Two different sites have been examined on the campus, on the roof of a building of the PMD location and one on the ground. Due to the airport and especially due to industrial facilities in close proximity, the site is not recommended for installation of an ESMAP ground measurement station.
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Solar Resource mapping in Pakistan : site evaluation report - Tando Jam
2015Co-Authors: Christoph Schillings, Qazi Sabir, Birk KraasAbstract:A team of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the Pakistan Meteorological Department (PMD) AgroMet office on the campus of Sindh Agriculture University on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. One site on the office rooftop has been examined. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
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Solar Resource mapping in Pakistan : site evaluation report - Peshawar
2015Co-Authors: Birk Kraas, Qazi Sabir, Christoph SchillingsAbstract:A member of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the University of Engineering and Technology in Peshawar on March 09, 2015. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. The site was recommended for the installation of a tier two meteorological station. It replaced the formerly selected site of the Pakistan Meteorological Department in Peshawar, where installation of the station proved to be unfeasible. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
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Solar Resource mapping in Pakistan : site evaluation report - Hyderabad
2015Co-Authors: Christoph Schillings, Birk Kraas, Qazi SabirAbstract:A team of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the Pakistan Meteorological Department (PMD) office at Hyderabad city on August 08, 2014. The goal was to evaluate if the location is suitable for the installation of a Solar ground measurement station in the framework of the project. One site on the office rooftop has been examined. Due to the sub-optimal shading profile and the location in the inner city center, the site was not recommended for installation of an ESMAP ground measurement station. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
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Solar Resource mapping in Pakistan : site evaluation report - Quetta
2015Co-Authors: Qazi Sabir, Birk Kraas, Christoph SchillingsAbstract:A member of the Solar vendor consortium for the energy sector management assistance program (ESMAP) Pakistan Solar Resource mapping project visited the Baluchistan University of Information Technology, Engineering, and Management Sciences (BUITEMS) in Quetta with the aim of evaluating if the location is suitable for the installation of a Solar ground measurement station. A site on a hostel building of the university has been examined on the campus. The site was recommended for the installation of a tier two meteorological station. It replaced the formerly selected site of the Pakistan Meteorological Department Office at Quetta, where installation of the station proved to be unfeasible. The report presents the following: executive summary; procedure and tasks of the site visit; site visit results; and conclusion.
Christian A. Gueymard - One of the best experts on this subject based on the ideXlab platform.
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Reducing Uncertainties in Large-Scale Solar Resource Data: The Impact of Aerosols
IEEE Journal of Photovoltaics, 2018Co-Authors: Christian A. Gueymard, Aron Habte, Manajit SenguptaAbstract:This study examines the impact of various aerosol databases on the accuracy of irradiance predictions pertaining to the National Solar Radiation Database (NSRDB) over the Americas. Compared to the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis and moderate resolution imaging spectroradiometer (MODIS) space-borne observations, the various improvements that have been made to develop the SOLSUN aerosol database are described, using a monthly temporal resolution and a 4-km spatial resolution. Relative to MERRA-2, these improvements result in lower uncertainty in the Solar irradiance components. The most recent version of the NSRDB now uses hourly MERRA-2 aerosol data with bias and elevation correction. This significantly improves the frequency distribution of hourly direct irradiance while having only a small impact on the annual Solar Resource, as suggested by the validation undertaken here at 12 control sites.
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characterization of a low cost multi parameter sensor for Solar Resource applications
World Conference on Photovoltaic Energy Conversion, 2018Co-Authors: Aron Habte, Manajit Sengupta, Afshin Andreas, Ranganath Narasappa, Taylor Thomas, Adam Wolf, Christian A. GueymardAbstract:Low-cost multi-parameter sensing and measurement devices enable cost-effective monitoringof the functional, operational reliability, efficiency, and resiliency of the electrical grid.The National Renewable Research Laboratory (NREL) Solar Radiation Research Laboratory (SRRL), in collaboration with Arable Labs Inc., deployed Arable Lab’s Mark multi-parameter sensor system. The unique suite of system sensors measures the downwelling and upwelling shortwave Solar Resource and longwave radiation, humidity, air temperature, and ground temperature. This studydescribes the shortwave calibration, characterization, and validation of measurement accuracy of this instrument by comparison with existing instruments that are part of NREL-SRRL’s Baseline Measurement System.
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Applying Solar Resource Data to Solar Energy Projects
2017Co-Authors: Lourdes Ramirez, Christian Pagh Nielsen, L.f. Zarzalejo, Stefan Wilbert, Christian A. Gueymard, Dave Renne, Andrew DobosAbstract:As discussed in previous chapters, Solar Resource evaluation covers a wide range of topics and applications. Most of these applications are related to projects involving Solar radiation energy conversion. In what follows, these are referred to as “Solar energy projects” and include electricity production applications (photovoltaics, Solar thermal electricity), Solar heating applications (central Solar heating for district heating, local domestic heating and cooling), water and air applications (disinfection, desalination, decontamination), and energy conservation (for building applications). The overall goal in applying Solar Resource data to Solar energy projects is to help the project developer or investor identify the best estimates or methodology to get the optimal Solar Resource and weather information to address each one of the project stages. Hence, this chapter summarizes all available information as well as guidance on the type of Solar Resource relevant to each of these stages. In addition, some information about how to generate data sets for energy simulations is also provided. Details on project stages are developed more thoroughly in Sections 2–5, corresponding to what is shown in Figure 8-2. In Section 6, special needs of Solar Resource data for different types of Solar projects are included. Finally, Section 7 provides a summary for further reference.
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Solar Resource for High-Concentrator Photovoltaic Applications
High Concentrator Photovoltaics, 2015Co-Authors: José A. Ruiz-arias, Christian A. GueymardAbstract:Direct Solar radiation is the main fuel for concentrating photovoltaic (CPV) technologies. At any instant, the magnitude and spectral distribution of incoming direct normal irradiance (DNI) on the concentrator determines the instantaneous power produced by the generator. On a seasonal or mean annual basis, the magnitude of the DNI Resource also directly affects the design of the whole system. Therefore, detailed knowledge of the available Solar Resource—essentially in terms of broadband DNI—is required at the system’s design stage to evaluate the anticipated power to be produced by the projected CPV plant. This chapter is devoted to providing a better understanding of the current methods used in Solar Resource assessment to accommodate the specific needs of CPV projects. To this aim, the chapter starts with an introductory discussion on extraterrestrial Solar radiation and its transfer throughout the Earth’s atmosphere. Later on, the most common Solar radiation modelling approaches for Solar energy applications are discussed preceding a brief review of the best current measuring techniques and data quality-control methods for Solar radiation. This includes important measurement recommendations for CPV applications. The chapter ends with brief discussions on spectral and circumSolar Solar radiation.
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optimal combination of gridded and ground observed Solar radiation data for regional Solar Resource assessment
Solar Energy, 2015Co-Authors: J A Ruizarias, S Quesadaruiz, Eduardo F Fernandez, Christian A. GueymardAbstract:Abstract Proper quantification of the available Solar Resource is essential for the diverse development phases of any Solar power plant. At local scale, the Solar Resource is best assessed from ground radiometric stations. At regional-to-continental scales, however, satellite-based techniques are currently the most suitable approach. Solar radiation evaluation using numerical weather prediction (NWP) models presents some advantages over satellite-based techniques. Nonetheless, gridded Solar radiation estimates using either satellite-based or NWP-based techniques still produce biased estimates which are often much higher for the latter. Therefore, a correction needs to be applied before these gridded values are usable for Solar applications, especially for NWP-based estimates. This contribution introduces an original method based on the optimal interpolation technique to adjust gridded Solar radiation estimates consistently with concomitant radiometric ground observations. The method’s performance is demonstrated using NWP-based gridded estimates with 10-km spacing of global and direct monthly irradiation data during the 10-year period from 2003 to 2012 over continental Spain and the Balearic Islands. It is shown that the proposed methodology produces adjusted gridded values that are (or nearly always are, in the case of direct irradiation) within the expected measurement uncertainty of the ground observations, provided a sufficiently large number of observations is available for correction. For the studied region and these NWP-based gridded datasets, our findings suggest that a homogeneous mean distance between ground observations of 100–150 km can result in unbiased gridded estimates.
