2017
DOI: 10.5194/acp-17-12743-2017
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Assessment of upper tropospheric and stratospheric water vapor and ozone in reanalyses as part of S-RIP

Abstract: Abstract. Reanalysis data sets are widely used to understand atmospheric processes and past variability, and are often used to stand in as "observations" for comparisons with climate model output. Because of the central role of water vapor (WV) and ozone (O 3 ) in climate change, it is important to understand how accurately and consistently these species are represented in existing global reanalyses. In this paper, we present the results of WV and O 3 intercomparisons that have been performed as part of the SP… Show more

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Cited by 97 publications
(122 citation statements)
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References 69 publications
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“…It is coupled to the atmospheric general circulation model MIROC-AGCM version 4 (Watanabe et al, 2011). The simulated meteorological fields were nudged toward the 6-hourly ERA-Interim (Dee et al, 2011) to reproduce past meteorological fields.…”
Section: Tropospheric Chemistry Reanalysis (Tcr-1)mentioning
confidence: 99%
“…It is coupled to the atmospheric general circulation model MIROC-AGCM version 4 (Watanabe et al, 2011). The simulated meteorological fields were nudged toward the 6-hourly ERA-Interim (Dee et al, 2011) to reproduce past meteorological fields.…”
Section: Tropospheric Chemistry Reanalysis (Tcr-1)mentioning
confidence: 99%
“…The MERRA-2 ozone products are described and evaluated in Wargan et al (2017), McCarty et al (2016), and Davis et al (2017). MERRA-2 assimilates partial column ozone from a series of SBUV instruments between 1980 and September 2004.…”
Section: The Geos Productsmentioning
confidence: 99%
“…These results highlight the ability of limb ozone assimilation to represent the ozone responses to the QBO correctly, as previously demonstrated for MLS (Coy et al, ). This is in contrast to a number of reanalyses that assimilate layer ozone from nadir Solar Backscatter UltraViolet radiometers (SBUV) but not limb observations, for example, MERRA‐2 prior to 2004: due to large vertical smoothing errors inherent in ozone data derived from nadir observations (Kramarova et al, ) the downward phase propagation of the ozone QBO signal in these reanalyses is often poorly represented (Davis et al, , their Figure ; Coy et al, ).…”
Section: Resultsmentioning
confidence: 86%