Optimal interpolation of satellite derived irradiance and ground data

Antonio T. Lorenzo, Matthias Morzfeld, William F. Holmgren, Alexander D Cronin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe how Bayesian data assimilation can be used to improve nowcasts of irradiance over small, city-scale, spatial areas. Specifically, we use optimal interpolation (OI) to improve satellite derived estimates of global horizontal irradiance (GHI) using ground truth data that was collected sparsely over Tucson, AZ. Our results show that the local data indeed improves the satellite derived estimates of GHI. A key to success with OI in this context is to prescribe correlations based on cloudiness, rather than spatially. OI can be used with a variety of data, e.g., rooftop photovoltaic production data or irradiance data, as well as with several different satellite derived irradiance models.

Original languageEnglish (US)
Title of host publication2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509056057
DOIs
StatePublished - May 25 2018
Event44th IEEE Photovoltaic Specialist Conference, PVSC 2017 - Washington, United States
Duration: Jun 25 2017Jun 30 2017

Other

Other44th IEEE Photovoltaic Specialist Conference, PVSC 2017
CountryUnited States
CityWashington
Period6/25/176/30/17

Keywords

  • Data assimilation
  • Optimal interpolation
  • Remote sensing
  • Solar irradiance

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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  • Cite this

    Lorenzo, A. T., Morzfeld, M., Holmgren, W. F., & Cronin, A. D. (2018). Optimal interpolation of satellite derived irradiance and ground data. In 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2017.8366671