Validation of SAGE III/ISS Solar Water Vapor Data With Correlative Satellite and Balloon‐Borne Measurements

Davis, Sean; Damadeo, Robert; Flittner, D. E.; Rosenlof, Karen H.; Park, M.; Randel, William J.; Hall, E.; Huber, D.; Hurst, D. F.; Jordan, A. F.; Kizer, Susan; Millán, Luis; Selkirk, Henry B.; Taha, Ghassan; Walker, Kaley A.; Vömel, H.

doi:10.1029/2020jd033803

Cited by 11 publications

(35 citation statements)

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“…SAGE III/ISS water vapor retrieval is performed on a 1 km grid and the results are interpolated to a 0.5 km grid. These profiles are smoothed with a 1-2-1 filter in altitude, giving a vertical resolution of the v5.1 water vapor of ∼2 km (see Davis et al, 2021 for details of the retrieval algorithm). Davis et al (2021) also makes recommendations on filtering the data for retrieval anomalies and cloud interference that are applied here.…”

Section: Sage Iii/issmentioning

confidence: 99%

“…These profiles are smoothed with a 1-2-1 filter in altitude, giving a vertical resolution of the v5.1 water vapor of ∼2 km (see Davis et al, 2021 for details of the retrieval algorithm). Davis et al (2021) also makes recommendations on filtering the data for retrieval anomalies and cloud interference that are applied here. The data are provided in units of number density on altitude and are converted to mixing ratio using the temperature and pressure profiles reported in the SAGE III/ISS data files that originate from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2, Gelaro et al, 2017).…”

Section: Sage Iii/issmentioning

confidence: 99%

“…MLS monthly average data are constructed by averaging daily data each month. For direct comparisons between MLS and SAGE III/ISS in Section 3.1, MLS data are interpolated to the SAGE III/ISS measurement locations, altitudes and time, as described in Davis et al (2021).…”

Section: Aura Mlsmentioning

confidence: 99%

“…The objective of this study is to evaluate large-scale geophysical variability in SAGE III/SS H 2 O data as one component of data validation. This study is a companion to Davis et al (2021), which focuses on detailed profile comparisons of SAGE III/ISS with correlative independent data sets and providing guidance for filtering data. Our analysis involves evaluating large-scale seasonal and interannual variability in SAGE III/ISS over 2017-2020, including detailed comparisons with MLS water vapor retrievals.…”

mentioning

confidence: 99%

“…Here, we focus on the large-scale seasonal and interannual variabilities with qualitative analyses. Our analyses of SAGE III/ISS data are based on recommended aerosol/cloud filtering parameters from Davis et al (2021), but we also highlight sensitivity of these data to enhanced stratospheric aerosol loadings from volcanic eruptions (Chouza et al, 2020;Kloss et al, 2021) and stratospheric pyro-cumulonimbus (pyroCb) events (Fromm et al, 2010;Kablick et al, 2020;Khaykin et al, 2020). We also evaluate climatological upper troposphere-lower stratosphere (UTLS) relative humidity (RH) variations derived from SAGE III/ISS water vapor and co-located temperature and quantify their detailed relationships with UTLS thermal structure.…”

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confidence: 99%

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Near‐Global Variability of Stratospheric Water Vapor Observed by SAGE III/ISS

et al. 2021

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The Stratospheric Aerosol and Gas Experiment III instrument on the International Space Station (SAGE III/ISS) has been making high quality solar occultation measurements of stratospheric water vapor since June 2017. Here we evaluate the large‐scale geophysical variability of the SAGE III/ISS water vapor measurements for the first 3 years of observations (2017–2020) as part of data validation for retrieval version 5.1 (v5.1). Detailed comparisons of SAGE III/ISS v5.1 with the Aura Microwave Limb Sounder (MLS) version 5 retrievals show overall excellent agreement in terms of seasonal mean structure and large‐scale variability. SAGE III/ISS data capture the well‐known seasonal variations in water vapor including the vertically propagating “tape recorder” in the tropics and lower stratospheric maxima linked to the NH summer monsoons. The high vertical resolution (∼2 km) measurements from SAGE III/ISS demonstrate contributions of the monsoons to the wet phase of “tape recorder” during the Northern Hemisphere (NH) summer. Interannual variations over the short data record are also consistent between SAGE III/ISS and MLS in the stratosphere between 16 and 30 km. We furthermore evaluate large‐scale variations in relative humidity (RH) derived from the high vertical resolution SAGE III/ISS water vapor measurements, highlighting the detailed seasonal behavior and links to thermal structure near the tropical tropopause. Spatial distributions of RH at the cold point tropopause (CPT) show a close link between high RH and the minimum CPT temperature in both the NH winter and summer, consistent with temperature control of water vapor near the tropopause.

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Section: Sage Iii/issmentioning

confidence: 99%

Section: Sage Iii/issmentioning

confidence: 99%

Section: Aura Mlsmentioning

confidence: 99%

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confidence: 99%

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Near‐Global Variability of Stratospheric Water Vapor Observed by SAGE III/ISS

et al. 2021

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Frost point hygrometers

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Oltmans³

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Field Measurements for Passive Environmental Remote Sensing

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Cloud and Aerosol Distributions From SAGE III/ISS Observations

et al. 2021

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High altitude clouds, especially those in the tropics (∼±30° latitude) are a regulator of climate (Zhou et al., 2014) and their abundance may be an indicator of climate change (Massie et al., 2013). Tropical cirrus near the cold point tropopause forms either through the convective injection of ice crystals or through the slow, large-scale uplift of air toward the colder tropopause -a process that also produces cirrus clouds. Optically thin cirrus forming at the highest altitudes near the tropical tropopause signal the final dehydration of air entering the stratosphere. This cold point tropopause dehydration process, to first order, regulates stratospheric water vapor (Randel & Park, 2019 and references therein). Indeed, there is a high degree of anti-correlation between variations in cold point tropopause temperatures and cirrus cloud fraction (i.e., warmer upper tropospheric temperatures, fewer cirrus clouds; Davis et al., 2013;Wang et al., 2019). Modeling studies by Schoeberl et al. (2019) and Ueyama et al. (2015Ueyama et al. ( , 2018 had elucidated the processes that control cirrus dehydration. The models show that cirrus produced in the boreal winter tropical tropopause layer (TTL, Fueglistaler et al., 2009) is predominately generated through slow uplift. Cirrus is produced by convection, but this process is of decreasing importance moving toward the tropopause (Schoeberl et al., 2019). This conceptual picture explains the observed frequency of supersaturation observed in aircraft data (

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Validation of SAGE III/ISS Solar Water Vapor Data With Correlative Satellite and Balloon‐Borne Measurements

Cited by 11 publications

References 44 publications

Near‐Global Variability of Stratospheric Water Vapor Observed by SAGE III/ISS

Near‐Global Variability of Stratospheric Water Vapor Observed by SAGE III/ISS

Frost point hygrometers

Cloud and Aerosol Distributions From SAGE III/ISS Observations

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