Back to Search
Start Over
The SPARC water vapour assessment II: biases and drifts of water vapour satellite data records with respect to frost point hygrometer records.
- Source :
-
Atmospheric Measurement Techniques . 2023, Vol. 16 Issue 19, p4589-4642. 54p. - Publication Year :
- 2023
-
Abstract
- Satellite data records of stratospheric water vapour have been compared to balloon-borne frost point hygrometer (FP) profiles that are coincident in space and time. The satellite data records of 15 different instruments cover water vapour data available from January 2000 through December 2016. The hygrometer data are from 27 stations all over the world in the same period. For the comparison, real or constructed averaging kernels have been applied to the hygrometer profiles to adjust them to the measurement characteristics of the satellite instruments. For bias evaluation, we have compared satellite profiles averaged over the available temporal coverage to the means of coincident FP profiles for individual stations. For drift determinations, we analysed time series of relative differences between spatiotemporally coincident satellite and hygrometer profiles at individual stations. In a synopsis we have also calculated the mean biases and drifts (and their respective uncertainties) for each satellite record over all applicable hygrometer stations in three altitude ranges (10–30 hPa, 30–100 hPa, and 100 hPa to tropopause). Most of the satellite data have biases <10 % and average drifts <1 % yr -1 in at least one of the respective altitude ranges. Virtually all biases are significant in the sense that their uncertainty range in terms of twice the standard error of the mean does not include zero. Statistically significant drifts (95 % confidence) are detected for 35 % of the ≈ 1200 time series of relative differences between satellites and hygrometers. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18671381
- Volume :
- 16
- Issue :
- 19
- Database :
- Academic Search Index
- Journal :
- Atmospheric Measurement Techniques
- Publication Type :
- Academic Journal
- Accession number :
- 173107131
- Full Text :
- https://doi.org/10.5194/amt-16-4589-2023