Observing requirements for long-term climate records at the ocean surface
- 1National Oceanography Centre, University of Southampton, United Kingdom
- 2Met Office Hadley Centre (MOHC), United Kingdom
- 3Department of Atmospheric Sciences, College of the Environment, University of Washington, United States
- 4P.P. Shirshov Institute of Oceanology (RAS), Russia
- 5National Centers for Environmental Information, National Oceanic and Atmospheric Administration, United States
- 6Center for Ocean Atmospheric Prediction Studies, Florida State University, United States
Observations of conditions at the ocean surface have been made for centuries, contributing to some of the longest instrumental records of climate change. Most prominent is the climate data record of sea surface temperature (SST), which is itself essential to the majority of activities in climate science and climate service provision. A much wider range of surface marine observations is available however, providing a rich source of data on past climate. We present a general error model describing the characteristics of observations used for the construction of climate records, illustrating the importance of multi-variate records with rich metadata for reducing uncertainty in climate data records. We describe the data and metadata requirements for the construction of stable, multi-century marine climate data records for variables important for describing the changing climate: SST, mean sea level pressure, air temperature, humidity, winds, clouds and waves.
Available sources of surface marine data are reviewed in the context of the error model. We outline the need for a range of complementary observations, including very high quality observations at a limited number of locations and also observations that sample more broadly but with greater uncertainty. We describe how high-resolution modern records, particularly those of high-quality, can help to improve the quality of observations throughout the historical record.
We recommend the extension of internationally-coordinated data management and curation to observation types that do not have a primary focus of the construction of climate records. The benefits of reprocessing the existing surface marine climate archive to improve and quantify data and metadata quality and homogeneity. We also recommend the expansion of observations from research vessels and high quality moorings, routine observations from ships and from data and metadata rescue. Other priorities include: field evaluation of sensors; resources for the process of establishing user requirements and determining whether requirements are being met; and research to estimate uncertainty, quantify biases and to improve methods of construction of climate data records.
The requirements developed in this paper encompass specific actions involving a variety of stakeholders, including funding agencies, scientists, data managers, observing network operators, satellite agencies and international co-ordination bodies.
Keywords: marine, climate, uncertainty, Measurement, ocean, Atmosphere, SHIP, Buoy
Received: 15 Nov 2018;
Accepted: 05 Jul 2019.
Edited by:AMOS T. KABO-BAH, University of Energy and Natural Resources, Ghana
Reviewed by:Zeke J. Hausfather, Department of Earth and Planetary Science, University of California Berkeley, United States
Matthew Mayernik, National Center for Atmospheric Research (UCAR), United States
Copyright: © 2019 Kent, Rayner, Berry, Eastman, Grigorieva, Huang, Kennedy, Smith and Willett. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Elizabeth C. Kent, National Oceanography Centre, University of Southampton, Southampton, United Kingdom, email@example.com