Journal Article 1 Mention
An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set
Colin Morice2020
John KennedyNick A Rayner
Top 5% · 95th percentile
976 citations · Global and Planetary Change
Open AccessSecuring Multidisciplinary UndeRstanding and Prediction of Hiatus and Surge events (SMURPHS)

TLDR

Scientists have created a new, more accurate record of how Earth's surface temperature has changed since 1850. This updated record shows that the world has warmed more than earlier estimates suggested, especially in the Arctic and other hard-to-measure places.

Summary

1 Study Aim

The primary aim of this paper is to introduce and describe HadCRUT5, an updated global surface temperature data set. The authors seek to improve estimates of near-surface temperature changes from 1850 to 2018 by using more comprehensive land and sea measurements, better corrections for changes in how temperatures were recorded, and advanced statistical methods to fill in gaps where data are missing. The study also aims to provide a clearer understanding of uncertainties in temperature records and to compare the new data set with previous versions and other independent analyses. This study set out to make a better, more complete record of Earth's temperature changes by using improved data and smarter ways to handle missing information.

2 Study Design

The research team combined updated sea-surface temperature (SST) data from ships and buoys with near-surface air temperature data from weather stations on land. They used two main approaches: one that only includes locations with direct measurements, and another that uses a statistical method called Gaussian process regression (a way to estimate values in unmeasured areas based on nearby data) to fill in gaps. Both versions are provided as 200-member ensembles, which means they include many possible versions to show uncertainty. The study also compared HadCRUT5 to other major temperature data sets and used advanced error models to account for different sources of uncertainty, such as changes in measurement methods and incomplete coverage. The researchers built a new temperature record by combining land and ocean data, then used math to estimate temperatures in places without measurements, checking their results against other records.

3 Findings

The study reveals that HadCRUT5 shows a greater increase in global average temperature since 1850 than previous versions, especially in the 21st century. This is mainly due to better representation of warming in the Arctic and improved corrections for biases in sea-surface temperature measurements. The new statistical infilling method reduces uncertainty by making better use of available data, especially in regions with few observations. HadCRUT5's results are more consistent with other independent temperature records, increasing confidence in our understanding of global warming. However, the authors note that uncertainty remains for the 19th century and in areas with very limited data, such as parts of the southern hemisphere and polar regions. They recommend continued efforts to digitize old records and improve observational coverage to further reduce uncertainty in future updates. The new temperature record shows the world has warmed more than we thought, especially in the far north, but there are still some uncertainties in places with little data.

Abstract

Abstract We present a new version of the Met Office Hadley Centre/Climatic Research Unit global surface temperature data set, HadCRUT5. HadCRUT5 presents monthly average near‐surface temperature anomalies, relative to the 1961–1990 period, on a regular 5° latitude by 5° longitude grid from 1850 to 2018. HadCRUT5 is a combination of sea‐surface temperature (SST) measurements over the ocean from ships and buoys and near‐surface air temperature measurements from weather stations over the land surface. These data have been sourced from updated compilations and the adjustments applied to mitigate the impact of changes in SST measurement methods have been revised. Two variants of HadCRUT5 have been produced for use in different applications. The first represents temperature anomaly data on a grid for locations where measurement data are available. The second, more spatially complete, variant uses a Gaussian process based statistical method to make better use of the available observations, extending temperature anomaly estimates into regions for which the underlying measurements are informative. Each is provided as a 200‐member ensemble accompanied by additional uncertainty information. The combination of revised input data sets and statistical analysis results in greater warming of the global average over the course of the whole record. In recent years, increased warming results from an improved representation of Arctic warming and a better understanding of evolving biases in SST measurements from ships. These updates result in greater consistency with other independent global surface temperature data sets, despite their different approaches to data set construction, and further increase confidence in our understanding of changes seen.

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