1 / 9

Pyrgeometer Calibration via Regression

Pyrgeometer Calibration via Regression. Three PIRs with three thermistors were calibrated against the WISG at DAVOS Other PIRs were then calibrated outdoors against this triad over several weeks via a regression technique using the following equations:.

soyala
Télécharger la présentation

Pyrgeometer Calibration via Regression

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Pyrgeometer Calibration via Regression Three PIRs with three thermistors were calibrated against the WISG at DAVOS Other PIRs were then calibrated outdoors against this triad over several weeks via a regression technique using the following equations:

  2. Comparison of Triad Average vs Cox & Albrecht Regression Calibration of PIR

  3. Minute-by-Minute Comparisons

  4. Comparison of Triad Average vs Reda et al. Regression Calibration of PIR

  5. Minute-by-Minute Comparisons

  6. Comparison of Triad Average vs Philipona Regression Calibration of PIR

  7. Minute-by-Minute Comparisons

  8. Conclusions • Assuming the WISG is an absolute reference - Cox and Albrecht produce 2 uncertainties of 3-4 Wm-2 with noticeable diurnal differences - Reda et al. or Philipona produce 2 uncertainties of  1.25 Wm-2 with no large diurnal differences • A problem (Forgan comment) is that the values of these regressed coefs differs significantly from the blackbody+oudoor calibration

More Related