An Observing System Simulation Experiment for an Optimal Moored Instrument Array in the Tropical Indian Ocean

• DOI: 10.1175/jcli4149.1
• Publication Date: 2007-06-29T19:01:18Z
• Authors: Joaquim Ballabrer...; Eric Hackert; Raghu Murtugudde; Antonio J. Busala...
• Keywords: Predictability; Sea-surface height

Abstract In this paper, a series of observing system simulation experiments (OSSEs) are used to study the design proposed array instrumented moorings in Indian Ocean (IO) outlined by IO panel Climate Variability and Predictability (CLIVAR) Project. Fields Topography Experiment (TOPEX)/Poseidon (T/P) Jason sea surface height (SSH) temperature (SST) subsampled simulate dynamic SST data from array. Two different reduced-order versions Kalman filter reconstruct original fields simulated observations with objective determining optimal deployment moored platforms address issue redundancy simplification. The indicate that, terms reconstruction SSH SST, location subjectively compareS favorably optimally defined one. only significant difference between is lack justification for increasing latitudinal resolution near equator (i.e., 1.5°S 1.5°N). An analysis also identifies equatorial region as one largest amount redundant information. Thus, context these fields, results may help define prioritization its or redefine extend extent while maintaining same stations.