The MPIC/DLR "climate" water vapor product, developed within ESA's "GOME Evolution" project, provides a consistent time series of monthly mean H2O columns from the satellite instruments GOME, SCIAMACHY, and GOME-2 (MetopA).
Consistency amongst the different instruments (including cloud treatment) is substantially improved by (1) merging SCIAMACHY and GOME-2 observations to GOME pixel size, and (2) reducing the GOME-2 swath width to GOME/SCIAMACHY swath, thereby mimicking GOME-like observation conditions for all three sensors.
WARNING: Version 1.0 is based on spectral analysis settings which have slightly changed during the GOME-2 timeseries, introducing a small but clear "jump" in the TCWV timeseries at the turn of the years 2012/2013.
This version should not be used any more!
Use version >2.2 instead! doi:10.1594/WDCC/GOME-EVL_water_vapor_clim_v2.2
Beirle, Steffen; Lampel, Johannes; Wang, Yang; Wagner, Thomas; Grossi, Margherita; Loyola, Diego (2017). The MPIC/DLR climate water vapor product. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/MPIC_DLR_water_vapor
WARNING: Version 1.0 is based on spectral analysis settings which have slightly changed during the GOME-2 timeseries, introducing a small but clear "j...
Description
WARNING: Version 1.0 is based on spectral analysis settings which have slightly changed during the GOME-2 timeseries, introducing a small but clear "jump" in the TCWV timeseries at the turn of the years 2012/2013.
This version should not be used any more!
Use version >2 instead! doi:10.1594/WDCC/GOME-EVL_water_vapor_climate Description of methods see additional_info H2O_Climate_product_description_v1.0.txt
For a detailed description of the methods see:
Beirle et al., The MPIC/DLR Climate product, to be submitted to ESSD, in preparation.
Grossi et al., AMT, 2016.
van Malderen et al., AMT, 2014.
Wagner et al., Description of the MPI-Mainz H2O retrieval, http://www.sciamachy.org/products/H2O/H2Ovc_IUP_AD.pdf, 2011
Completeness report
Missing values are indicated as NaN
Description
Missing values are indicated as NaN
FAIR
F-UJI result: total 62 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 4 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2017-01-26
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1