Between the lines: Konrad Wolf's 'Mama, ich lebe' and the dilemmas of betrayal

The article offers a close reading of Konrad Wolf’s anti-fascist Second World War film 'Mama, ich lebe' (DEFA, 1977). 'Mama, ich lebe', like all East German films about the Nazi past, deals with the re-founding of post-war Germany. Unlike the usual approach which focused on political redemption of the past crimes, Wolf’s approach explores rupture and failure of political agency as the pre-condition for a new beginning. The rupture is effected by the defection of four Wehrmacht soldiers who decide to cooperate with the Soviet enemy. Their betrayal of the national collective is ethically motivated and arises from their responsibility for the Soviet ‘other’. Its radicalness opens up a moment of utopian freedom and conciliation for the traitors. Yet the back side of betrayal is insecurity and confliction with regard to their role and roots. While the four meet their role as traitors with self-deception about their ambivalent position, they are eventually forced to acknowledge their position as one of self-defeat. Their ‘ethical betrayal’ (Parikh 2009) does therefore not lead to utopian fulfilment but to the traitors’ expiatory sacrifice as the only form of accountability and self-justification. In Wolf’s film antifascism as a tale of political redemption is thus revised and becomes a tale of necessary individual atonement.

An idealized study of coupled atmosphere-ocean 4D-Var in the presence of model error

Atmosphere only and ocean only variational data assimilation (DA) schemes are able to use window lengths that are optimal for the error growth rate, non-linearity and observation density of the respective systems. Typical window lengths are 6-12 hours for the atmosphere and 2-10 days for the ocean. However, in the implementation of coupled DA schemes it has been necessary to match the window length of the ocean to that of the atmosphere, which may potentially sacrifice the accuracy of the ocean analysis in order to provide a more balanced coupled state. This paper investigates how extending the window length in the presence of model error affects both the analysis of the coupled state and the initialized forecast when using coupled DA with differing degrees of coupling. Results are illustrated using an idealized single column model of the coupled atmosphere-ocean system. It is found that the analysis error from an uncoupled DA scheme can be smaller than that from a coupled analysis at the initial time, due to faster error growth in the coupled system. However, this does not necessarily lead to a more accurate forecast due to imbalances in the coupled state. Instead coupled DA is more able to update the initial state to reduce the impact of the model error on the accuracy of the forecast. The effect of model error is potentially most detrimental in the weakly coupled formulation due to the inconsistency between the coupled model used in the outer loop and uncoupled models used in the inner loop.