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VISTA: A spatial forecast verification method for solar irradiance using thin-plate spline deformation

  • Xiaomi Zhang
  • , Hongrong Shi
  • , Dazhi Yang*
  • , Chunlin Huang
  • , Hao Zhang*
  • , Disong Fu
  • , Yun Chen
  • , Zhimin Li
  • , Yanbo Shen
  • , Xiang’ao Xia
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • CAS - Institute of Atmospheric Physics
  • China Meteorological Administration
  • Henan Academy of Sciences
  • University of Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

Solar irradiance forecast verification almost always relies on measurements from ground-based radiometric stations, which are only sparsely and unevenly distributed, thus limiting the understanding of the spatial error characteristics of high-resolution gridded forecasts. To address that, this study introduces the VISTA (Verification of Irradiance Spatial fields via Thin-plate Alignment), a deformation-based spatial verification method that leverages a pair of thin-plate splines to align the forecast field with the observation field. VISTA is a two-step procedure: (1) a set of control points is first identified using Shi–Tomasi corner detection, and (2) the deformation is then performed based on aligning the control points with a penalty. A comprehensive performance measure is designed to quantify displacement, amplitude, and structural errors, thereby enabling a systematic performance ranking of different forecasting methods. The empirical part of the work revolves around several sets of nowcasts (i.e., 0–4-h ahead) issued using irradiance retrieved from the Fengyun-4A satellite. Nevertheless, VISTA is general and can be applied to other spatial forecast fields of interest.

Original languageEnglish
Article number125974
JournalRenewable Energy
Volume271
DOIs
StatePublished - 1 Sep 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Comprehensive performance measure
  • Multi-method weighted ensemble forecast
  • Optical flow algorithms
  • Spatial forecast verification
  • Thin-plate spline deformation

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