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SSMI/S problems in 3D-FGAT #458
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Now, if perform a static var bc the Jo's don't go negative: Quadratic cost function: JoJc( 0) = 2456.840727561951 |
To me the test of static var bc suggests the problem to be in the VarBC settings. I tested a couple of knobs in the VarBC ... if I remove this chunk:
The JoJc becomes: Quadratic cost function: JoJc( 0) = 3338.186435793299 reasonable and the increment comparison becomes: I am putting this fix in a PR, but I would like to see an explanation from @gmao-yzhu and @gmao-yzhu who probably understand better what these knobs are supposed to do and under what conditions. |
SSMI/S in GEOS-FP, I don't think its VarBC predictors have a cloud term, no matter it is for clear-sky or all-sky. SSMI/S should have an ascend/descend node term in VarBC. These several lines look like to calculate an empirical cloud water formula either for QC or observation error. This is the original setting from Jianjun? Yanqiu
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@rtodling I agree with you, let's remove these lines, I don't think they belong to VarBC. |
I am finding that running 3DFGAT w/ SSMI/S only produces negative Jo's:
Quadratic cost function: JoJc( 0) = 2904.536994156287
Quadratic cost function: JoJc( 1) = 1761.685897988107
Quadratic cost function: JoJc( 2) = 41.58146053894939
Quadratic cost function: JoJc( 3) = -2188.836274347395
Quadratic cost function: JoJc( 4) = -4574.266068595534
Quadratic cost function: JoJc( 5) = -7173.171878308596
Quadratic cost function: JoJc( 6) = -8398.747569179868
Quadratic cost function: JoJc( 7) = -9260.910107256032
Quadratic cost function: JoJc( 8) = -9691.212019756096
Quadratic cost function: JoJc( 9) = -9915.784237898803
Quadratic cost function: JoJc(10) = -10072.29704553444
When all observing systems are assimilated, this goes unnoticed due to the larger Jo's from having many other instruments contribute to Jo.
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