English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Over the last decade, global-scale data sets of atmospheric water vaporisotopologues (HDO) have become available from different remote sensinginstruments. Due to the observational geometry and the spectral ranges thatare used, few satellites sample water isotopologues in the lower troposphere,where the bulk of hydrological processes within the atmosphere take place.Here, we compare three satellite HDO data sets, two from the TroposphericEmission Spectrometer (TES retrieval version 4 and 5) and one from SCIAMACHY(SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY), withresults from the atmospheric global circulation model ECHAM4 (European CentreHAMburg 4). We examine a list of known isotopologue effects to qualitativelybenchmark the various observational data sets. TES version 5(TESV5), TES version 4 (TESV4), SCIAMACHY, ECHAM,and ECHAM convolved with averaging kernels of TES version 5(ECHAMAK5) successfully reproduced a number of establishedisotopologue effects such as the latitude effect, the amount effect, and thecontinental effect. The improvement of TESV5 overTESV4 is confirmed by the steeper latitudinal gradient athigher latitudes in agreement with SCIAMACHY. Also the representation ofother features of the water isotopologue cycle, such as the seasonally varyingsignal in the tropics due to the movement of the Intertropical ConvergenceZone (ITCZ), is improved in TESV5 and SCIAMACHY compared toTESV4. A known humidity bias due to the cross correlation ofH2O and HDO measurements, which is of particular importance forinstruments with low sensitivity close to the surface, was analyzed byapplying either a humidity bias correction or a suitable a posteriorianalysis. We suggest that the qualitative and quantitative tests carried outin this study could become benchmark tests for evaluation of future satelliteisotopologue data sets

Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects