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Jason Microwave Radiometer performance and on-orbit - Remote ...

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<str<strong>on</strong>g>Jas<strong>on</strong></str<strong>on</strong>g> <str<strong>on</strong>g>Radiometer</str<strong>on</strong>g> Performance <str<strong>on</strong>g>and</str<strong>on</strong>g> Calibrati<strong>on</strong> 213TABLE 9 JMR–RaOb PD Differences for Low, Medium, <str<strong>on</strong>g>and</str<strong>on</strong>g> High PD Bins for TwoClosest Approach Separati<strong>on</strong>s (There Does Not Appear to be a Scale Error Present.)Spatial Temporal Mean RMSJMR PD (cm) (km) (hrs) (cm) (cm) SamplesPD < 10 ≤315 ≤6 0.17 1.83 22010 ≤ PD < 25 ≤315 ≤6 −0.15 3.11 627≥25 ≤315 ≤6 0.26 3.22 815PD < 10 ≤200 ≤3 0.41 1.55 5610 ≤ PD < 25 ≤200 ≤3 −0.16 2.52 160≥25 ≤200 ≤3 0.20 2.79 167PDs can be explained by a combinati<strong>on</strong> of correlated <str<strong>on</strong>g>and</str<strong>on</strong>g> uncorrelated sources of error.Error sources that are completely correlated will not affect the RMS differences. Sourcesof error that are completely uncorrelated will c<strong>on</strong>tribute maximally to the RMS difference.Only a fracti<strong>on</strong> of the error from partially correlated sources will affect the RMS difference.The error sources in the retrieved path delay values for each instrument are due to errorin the antenna temperature calibrati<strong>on</strong>, error in the antenna pattern correcti<strong>on</strong>, <str<strong>on</strong>g>and</str<strong>on</strong>g> error inthe wet tropospheric path delay retrieval (Equati<strong>on</strong>s 1, 3 <str<strong>on</strong>g>and</str<strong>on</strong>g> 5). The error analysis of theantenna temperature calibrati<strong>on</strong> is adapted from Ruf et al.’s (1995) TMR TA error budget,the error in the antenna pattern correcti<strong>on</strong> from Janssen et al.’s (1995) TMR TB error budget,<str<strong>on</strong>g>and</str<strong>on</strong>g> the error in the wet tropospheric path delay retrieval from Keihm et al.’s (1995) TMRPD error budget.The uncorrelated source of error in the antenna temperature calibrati<strong>on</strong> (T A ) is dueto the stochastic noise of each receiver. The RMS difference between the JMR <str<strong>on</strong>g>and</str<strong>on</strong>g> TMRPDs should be dominated by the stochastic noise of the receivers. The stochastic noise isestimated to be 0.20 K for each JMR channel <str<strong>on</strong>g>and</str<strong>on</strong>g> 0.27 K for each TMR channel (Ruf et al.1995). The JMR stochastic noise value was estimated by finding the RMS of the differenceof adjacent 1-sec<strong>on</strong>d JMR measurements over dry, cloud-free ocean scenes. The error inthe TB (T B ) for each channel due to the stochastic noise (T A ) is estimated by its effectin the APC algorithm. Equati<strong>on</strong>s for determining the magnitude of the error incurred in theAPC algorithm can be found in Janssen et al. (1995). These errors are given in Table 10.The error in the path delay retrieval from the stochastic noise is estimated by the TB error’seffect in the path delay retrieval algorithm. This can be estimated using a simplified globalaverage versi<strong>on</strong> of the retrieval algorithm for both instruments, given as Equati<strong>on</strong> 10. Thecoefficients in equati<strong>on</strong>s 10 a, b are the c 18 , c 23 , <str<strong>on</strong>g>and</str<strong>on</strong>g> c 34 coefficients in Equati<strong>on</strong> 5 for globalaverage values of surface wind speed <str<strong>on</strong>g>and</str<strong>on</strong>g> PD (approximately 7 m/s <str<strong>on</strong>g>and</str<strong>on</strong>g> 15 cm). The RMSTABLE 10 Error in the TBs Due to theStochastic Noise of the ReceiversChannelTB (K)TMR 18.0 0.27JMR 18.7 0.21TMR 21.0 0.27JMR 23.8 0.21TMR 37.0 0.27JMR 34.0 0.22

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