2022
DOI: 10.1175/jcli-d-20-0603.1
|View full text |Cite
|
Sign up to set email alerts
|

Quantifying Spread in Spatiotemporal Changes of Upper-Ocean Heat Content Estimates: An Internationally Coordinated Comparison

Abstract: The Earth system is accumulating energy due to human-induced activities. More than 90% of this energy has been stored in the ocean as heat since 1970, with ~64% of that in the upper 700 m. Differences in upper ocean heat content anomaly (OHCA) estimates, however, exist. Here, we use a dataset protocol for 1970–2008 – with six instrumental bias adjustments applied to expendable bathythermograph (XBT) data, and mapped by six research groups – to evaluate the spatio-temporal spread in upper OHCA estimates arising… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 8 publications
(11 citation statements)
references
References 103 publications
(230 reference statements)
0
11
0
Order By: Relevance
“…Currently, ~3,900 profiling floats constitute the array, providing a system to make near-global measurements of the Earth's open ocean 36 , with a target resolution of one profile every 3° × 3° every 10 days. However, the Argo data are much more limited in polar areas, shallow and coastal regions, in some major current systems, including the Indonesian throughflow (ITF), and in the water column below 2,000 m. Because the Argo network has incomplete global coverage, the global upper-2,000-m OHC rates based on Argo-only products can underestimate the rate of change by 10-20% [37][38][39] . Deep Argo has been developed to better capture measurements at 4,000-6,000 dbar (rEF.…”
Section: Observing and Estimating Ohcmentioning
confidence: 99%
“…Currently, ~3,900 profiling floats constitute the array, providing a system to make near-global measurements of the Earth's open ocean 36 , with a target resolution of one profile every 3° × 3° every 10 days. However, the Argo data are much more limited in polar areas, shallow and coastal regions, in some major current systems, including the Indonesian throughflow (ITF), and in the water column below 2,000 m. Because the Argo network has incomplete global coverage, the global upper-2,000-m OHC rates based on Argo-only products can underestimate the rate of change by 10-20% [37][38][39] . Deep Argo has been developed to better capture measurements at 4,000-6,000 dbar (rEF.…”
Section: Observing and Estimating Ohcmentioning
confidence: 99%
“…However, the OLS regression does not consider the uncertainty associated with the variable for which we aim to estimate the trend, which is why some studies use other methods such as the Weighted Least Square (WLS) regression (e.g., ref. 36,[64][65][66] ). In this study, we consider these types of regressions together, with the aim of choosing the most suitable method for our case study in terms of approximating uncertainties and trends.…”
Section: Linear Least Squares Approachmentioning
confidence: 99%
“…Consequently, each research group must make important assumptions regarding data quality control, data correction, and strategies for filling spatio-temporal gaps. These assumptions collectively contribute to the uncertainty associated with the reconstruction of the GOHC [36][37][38] . Unfortunately, producers do not always provide the GOHC uncertainty associated with their methodological choices (see Table S2), commonly referred to as internal GOHC uncertainty 39 .…”
Section: Heat Content Rate Of Changementioning
confidence: 99%