Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design

摘要: Abstract. A set of observing system simulation experiments has been performed to explore the impact on global ocean biogeochemical reanalyses assimilating chlorophyll from remotely sensed colour, and assess potential in situ observations chlorophyll, nitrate, oxygen, pH a proposed array Biogeochemical-Argo (BGC-Argo) floats. Two different BGC-Argo distributions were tested: one where sensors are placed all current Argo floats, quarter This latter approximately corresponds 1000 Different strategies for updating model variables when colour assessed. All similarly improved assimilated variable surface but had mixed wider ecosystem carbon cycle, degrading some key interest. Assimilating data gave no added benefit over terms simulating most other variables, including sub-surface adding greatly results throughout water column. included partial pressure dioxide (pCO2), which was not is an important output reanalyses. Both benefits, with greater improvements seen more observations. From point view reanalysis, it recommended proceed development as priority. The floats will lead clear reanalyses, larger likely bring further benefits. satellite should also be maintained, provide complementary There much improve use existing observations, particularly multivariate balancing, through improving assimilation methodologies.