2017
DOI: 10.1002/qj.3040
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The potential value of early (1939–1967) upper‐air data in atmospheric climate reanalysis

Abstract: In recent years a number of reanalysis datasets have been published that cover the past century or more, including the ‘Twentieth Century Reanalysis’ 20CRv2 and the European Reanalysis of the twentieth century ERA‐20C. These datasets are widely used, showing the need for, and possible benefit of, reanalysis data products designed for climate applications. The twentieth‐century reanalyses so far have assimilated only surface observations, and rely on independent estimates of monthly averaged sea‐surface tempera… Show more

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Cited by 23 publications
(26 citation statements)
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“…Radiosonde and pilot balloon are the best sources for station-based upper air wind climatologies, with data back to the early 1940s in the northern extratropics. Reanalyses need upper air information to capture the QBO, as can be seen from the increasingly better depiction with the ERA-preSAT (Hersbach et al 2017) experimental assimilation run. Surface data-only reanalyses, which extend further back, currently do not capture the QBO.…”
Section: )mentioning
confidence: 99%
“…Radiosonde and pilot balloon are the best sources for station-based upper air wind climatologies, with data back to the early 1940s in the northern extratropics. Reanalyses need upper air information to capture the QBO, as can be seen from the increasingly better depiction with the ERA-preSAT (Hersbach et al 2017) experimental assimilation run. Surface data-only reanalyses, which extend further back, currently do not capture the QBO.…”
Section: )mentioning
confidence: 99%
“…The quality of such historical reanalyses depends on the density of observations and cannot outperform a comparable system that uses all sources of observations, including satellite and upper‐air measurements. In fact, a research reanalysis for the 1939–1967 period which assimilates radiosonde data (ERA‐preSAT; Hersbach et al, ) correlates better with independent observations than 20CRV2c. The whitelisting approach to data selection, where observations are used only if they are known to be suitable for climate applications, reduces the artificial variability and spurious trends generated by the introduction of new instruments.…”
Section: Introductionmentioning
confidence: 99%
“…In future assimilation experiment related to the MJO the assimilation of atmospheric low‐level signals may be given priority. Meanwhile, it is admitted that adding the upper‐air information such as the one from radiosondes into the assimilation system together with surface observations could further improve the quality of the data and reduce the variability biases (Hersbach et al ., ).…”
Section: Discussionmentioning
confidence: 97%