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title | Click here to expand the list of related documents (D1-D4D5) |
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Reference ID | Document | D1 | CM SAF ATBD: Algorithm Theoretical Baseline Document - HOAPS version 4.0 DOI: 10.5676/EUM_SAF_CM/HOAPS/V002 ATBD_CMSAF_HOAPS_4.0 | D2 | ValRep: Validation Report SSM/I and SSMIS products - HOAPS version 4.0 DOI: 10.5676/EUM_SAF_CM/HOAPS/V002 ValRep_SSM/I_SSMIS_HOAPS_4.0 | D3 | Product User Guide and Specification - Total Column Water Vapour brokered from EUMETSAT CM SAF(1988-2014) & ICDR – C3S (2015-2020) from SSM/I & SSMIS measurements C3S_D312b_Lot1.3.6.3-v1.1_202102_PUGS_TCWV_SSMIS_TCDR+ICDR_v1.1 | D4 | Product Quality Assessment Report- Total Column Water Vapour brokered from EUMETSAT CM SAF(1988-2014) & ICDR – C3S (2015-2020) from SSM/I & SSMIS measurements C3S_D312b_Lot1.2.3.9-v1.1_202105_PQAR_TCWV_SSMIS_TCDR+ICDR_v1.1 | D5 | Report on Updated KPIs. Key Performance Indicators (KPIs) |
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Acronyms
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title | Click here to expand the list of acronyms |
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Acronym | Definition | CDR | Climate Data Record | CM SAF | Climate Monitoring Satellite Application Facility | COSMIC | Constellation Observing System for Meteorology, Ionosphere, and Climate | DMSP | Defense Meteorological Satellite Program | ECMWF | European Centre for Middle-range Weather Forecast | ERA | ECMWF Re-Analysis | EUMETSAT | European Organization for the Exploitation of Meteorological Satellites | GCOS | Global Climate Observation System | HOAPS | Hamburg Ocean & Atmosphere fluxes and Parameters from Satellite data | ICDR | Interim Climate Data Record | IQR | Inter Quartile Range | ROM SAF | Radio Occultation Meteorology Satellite Application Facility | RMSD | Root Mean Square of Differences | RSS | Remote Sensing System – also referred as REMSS | SSM/I | Special Sensor Microwave Imager | SSMIS | Special Sensor Microwave Imager Sounder | TCDR | Thematic Climate Data Record | TCWV | Total Column Water Vapour | TMI | TRMM Microwave Imager | TRMM | Tropical Rainfall Measurement Mission | WVPA | Water Vapour Path – synonym for TCWV |
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In addition, a statistical test has been carried out in order to check whether the ICDR differences fulfill the null hypothesis of falling within the 95% confidence interval of TCDR differences (Figures Figure 9 - 10) (D5, section 3 for detailled method). For this reason, a two-sided test has been conducted to evaluate the 2.5 and 97.5 percentiles of the TCDR with the null hypothesis, that the number of ICDR failures are expected at α=5% significance level (Type I error). By counting the number of ICDR values falling outside this interval and the expectation of penalized counts allowed at α=5% significance level, we can conclude on rejecting or accepting the null hypothesis based on the Binomial test (Pbinomial > α=5%). The histogram of the probability distribution of TCDR values and ICDRs are presented in Figure 9 (RSS_SSMI) and Figure 10 (ERA-5).
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