PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026Atmospheric measurement techniques0 citationsOpen Access

Optimizing the precision of infrared measurements using the Eppley Laboratory, Inc. model PIR pyrgeometer

JMJoseph MichalskyJAJohn AugustineEHEmiel Hall

Key Points

  • This research focuses on optimizing calibration methods for infrared measurements using the Eppley PIR pyrgeometer.
  • Examined four equations for transferring irradiance calibration from standard to field PIRs.
  • Discussed equations converting thermistor resistance measurements to temperature.
  • Analyzed responses of the pyrgeometer to various infrared radiation inputs.
  • Identified a preferred equation for calibrating field PIRs.
  • Clarified the relationships between thermistor readings and infrared measurements.
  • Improved understanding of instrument calibration for more accurate measurements.

Abstract

Abstract. The Eppley Precision Infrared Radiometer (PIR) is widely used for broadband (3.5–50 µm), thermal infrared wavelength measurements of the downwelling and upwelling radiation from the atmosphere and surface, respectively. The field of view of the instrument is 2π steradians with a receiver that has an approximate cosine response. In this paper we examine four equations suggested by the literature that have been used to transfer irradiance calibrations from our standard PIRs that are calibrated at the World Radiation Center to field units used for network operations. We first discuss various equations used to convert the resistance measurements of the thermistors to temperatures of the body and dome that are used in the derivation of incoming irradiance. We then use the four related, but distinct, equations for the transfer of the calibration from standard PIRs to field instruments. A clear choice for the preferred equation to use for calibration and transfer of calibration to field PIRs emerges from this study.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Michalsky et al. (2026) studied this question.

synapsesocial.com/papers/698d6e055be6419ac0d536d4https://doi.org/10.5194/amt-19-983-2026
Ask AI
Helpful
Bookmark
Share
View Full Paper