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ICOADS Release 3.0: a major update to the historical marine climate record

TLDR
The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) as mentioned in this paper is the most widely used freely available collection of surface marine observations, providing data for the construction of gridded analyses of sea surface temperature, estimates of air-sea interaction and other meteorological variables.
Abstract
We highlight improvements to the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) in the latest Release 3.0 (R3.0; covering 1662–2014). ICOADS is the most widely used freely available collection of surface marine observations, providing data for the construction of gridded analyses of sea surface temperature, estimates of air–sea interaction and other meteorological variables. ICOADS observations are assimilated into all major atmospheric, oceanic and coupled reanalyses, further widening its impact. R3.0 therefore includes changes designed to enable effective exchange of information describing data quality between ICOADS, reanalysis centres, data set developers, scientists and the public. These user-driven innovations include the assignment of a unique identifier (UID) to each marine report – to enable tracing of observations, linking with reports and improved data sharing. Other revisions and extensions of the ICOADS' International Maritime Meteorological Archive common data format incorporate new near-surface oceanographic data elements and cloud parameters. Many new input data sources have been assembled, and updates and improvements to existing data sources, or removal of erroneous data, made. Coupled with enhanced ‘preliminary’ monthly data and product extensions past 2014, R3.0 provides improved support of climate assessment and monitoring, reanalyses and near-real-time applications.

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Extended Reconstructed Sea Surface Temperature, Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons

TL;DR: The most recent version of ICOADS (R3.0) has been updated and updated from version 4 to version 5 in this article, with more realistic spatiotemporal variations, better representation of high-latitude SSTs, and ship SST biases calculated relative to more accurate buoy measurements.
Journal ArticleDOI

Towards a more reliable historical reanalysis: improvements for version 3 of the Twentieth Century Reanalysis system

Laura C. Slivinski, +53 more
TL;DR: The 20CRv2c dataset as mentioned in this paper is the first ensemble of sub-daily global atmospheric conditions spanning over 100 years, which provides a best estimate of the weather at any given place and time as well as an estimate of its confidence and uncertainty.
Journal ArticleDOI

Improvements in the GISTEMP Uncertainty Model

TL;DR: In this article, a new and improved uncertainty analysis for the Goddard Institute for Space Studies Surface Temperature product version 4 (GISTEMP v4) is presented, which incorporates independently derived estimates for ocean data processing, station homogenization, and other structural biases.
Journal ArticleDOI

The emergence of heat and humidity too severe for human tolerance

TL;DR: The most extreme humid heat is highly localized in both space and time and is correspondingly substantially underestimated in reanalysis products, underscore the serious challenge posed by humid heat that is more intense than previously reported and increasingly severe.
Journal ArticleDOI

Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1

TL;DR: The DOISST v2.0.1 dataset as discussed by the authors is an upgraded version of version 2.0, which is derived from merging BUFR and TAC, as well as by including Argo observations above 5m depth.
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