Abstract

AbstractLack of reliable observational metadata represents a key barrier to understanding sea surface temperature (SST) measurement biases, a large contributor to uncertainty in the global surface record. We present a method to identify SST measurement practice by comparing the observed SST diurnal cycle from individual ships with a reference from drifting buoys under similar conditions of wind and solar radiation. Compared to existing estimates, we found a larger number of engine room‐intake (ERI) reports post–World War II and in the period 1960–1980. Differences in the inferred mixture of observations lead to a systematic warmer shift of the bias adjusted SST anomalies from 1980 compared to previous estimates, while reducing the ensemble spread. Changes in mean field differences between bucket and ERI SST anomalies in the Northern Hemisphere over the period 1955–1995 could be as large as 0.5°C and are not well reproduced by current bias adjustment models.

Highlights

  • Sea surface temperature (SST) is a crucial parameter for climate change assessments (Hartmann et al, 2013) but its uncertainty affects our confidence in estimates of surface-temperature change

  • We found a larger number of engine room-intake (ERI) reports post–World War II and in the period 1960–1980

  • For more than 75% of the observations, we could diagnose the measurement method from the diurnal anomalies without relying on SST method indicator (SI)(M), higher percentages of unclassified observations are present at the beginning of the record and during World War II (WWII)

Read more

Summary

Introduction

Sea surface temperature (SST) is a crucial parameter for climate change assessments (Hartmann et al, 2013) but its uncertainty affects our confidence in estimates of surface-temperature change. Typical atmospheric conditions over the ocean combine to produce a global mean cool bias relative to the true SST, ranging from about À0.1°C in 1850s to À0.4°C in 1940s (Folland & Parker, 1995; Smith & Reynolds, 2002). This increase in bias is due to changing bucket types, from wooden to canvas, and increasing ship speed (e.g., Kennedy et al, 2011b, hereafter K11b) and increasing airflow past the buckets.

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.