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titleClick here to expand the list of related documents (D1-D4D5)


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

D4Product 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
D5Report on Updated KPIs.
Key Performance Indicators (KPIs)


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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