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Water en bodem moeten ‘sturend’ worden bij ruimtelijk beleid, besloot het kabinet onlangs. Hoe pakken we dat slim aan? Een breed gedragen langetermijnvisie voor de toekomst kan helpen, zeggen onderzoekers Ilse Voskamp, Daan Verstand en Wim Timmermans van Wageningen University & Research.

The Climate Data Record (CDR) is a time series of measurements of sufficient length, consistency and continuity to determine climate variability and change. The generation of ECVs (Essential Climate Variables)/CDRs needs to put strong emphasis on the generation of fully described, error-characterized and consistent satellite-based ECV products (Zeng et al. in Remote Sensing 11:1–28, 2019). For example, generation of many ECVs, such as in the ESA (European Space Agency) CCI (Climate Change Initiative) projects (Plummer et al. in Remote Sens Environ 203:2–8, 2017), requires ancillary information about the state of the atmosphere, e.g., cloud screening for SST (sea surface temperature) and atmospheric correction for space-borne altimeters. As such, the consistency between the various ECV products (e.g. cloud flagged in one ECV and non-flagged in another one) extends to ensuring consistency in the approaches of CDR generation. The in-situ datasets also need to be continuously characterized in terms of their long-term accuracy, stability and homogeneity. Reanalysis results, as an alternative source of ECV, requires similar endeavors to investigate its consistency (Zeng et al. in Int J Appl Earth Obs Geoinf 42:150–161, 2015).