KIT – die Kooperation von Forschungszentrum Karlsruhe GmbH und Universität Karlsruhe (TH) 1 | F. Hase | IMK-ASF | Error estimation for HYMN
KIT – die Kooperation von Forschungszentrum Karlsruhe GmbH und Universität Karlsruhe (TH) 2 | F. Hase | IMK-ASF | Towards a retrieval strategy for HYMN To achieve common MWs seems to be the simpler task…* To be included: homogenize constraints. (please refer to IMK-IFU talk on a-priori assumptions) * Error estimation of HYMN FTIR-products: IMK-ASF responsibility – requires definition of retrieval (MWs + constraints) before … Problem: Resulting errors and sensitivities should ideally be part of MW definition process, would require repeated error estimations … (PROFFIT available since 2007 … people encouraged to use it) *: Remember UFTIR experience!
KIT – die Kooperation von Forschungszentrum Karlsruhe GmbH und Universität Karlsruhe (TH) 3 | F. Hase | IMK-ASF | Towards a retrieval strategy for HYMN Of equal importance as error characterisation: minimize errors! Current topics and preliminary answers: Temperature error ECMWF instead of NCEP ECMWF data superior … or just different?
KIT – die Kooperation von Forschungszentrum Karlsruhe GmbH und Universität Karlsruhe (TH) 4 | F. Hase | IMK-ASF | Towards a retrieval strategy for HYMN In case of O3, it has been shown that including T-fit improves Results (over use of local daily sonde-T) Include CO2 MWs for T-fit (extra bonus: airmass check via CO2) MWs: ( , )CO2/T ( , ) CO2/T ( , ) CO2/T ( , ) CO2/T ( , )CH4 (UFTIR MCT) ( , ) CH4 (UFTIR MCT) ( , ) CH4 (UFTIR MCT)
KIT – die Kooperation von Forschungszentrum Karlsruhe GmbH und Universität Karlsruhe (TH) 5 | F. Hase | IMK-ASF | Including CO2 MWs and fit of T