Regionally Enhanced Global (REG) 4D-Var Academic Article uri icon

abstract

  • Abstract A regionally enhanced global (REG) data assimilation (DA) method is proposed. The technique blends high-resolution model information from a single or multiple limited-area model domains with global model and observational information to create a regionally enhanced analysis of the global atmospheric state. This single analysis provides initial conditions for both the global and limited-area model forecasts. The potential benefits of the approach for operational data assimilation are (i) reduced development cost, (ii) reduced overall computational cost, (iii) improved limited-area forecast performance from the use of global information about the atmospheric flow, and (iv) improved global forecast performance from the use of more accurate model information in the limited-area domains. The method is tested by an implementation on the U.S. Navys four-dimensional variational global data assimilation system and global and limited-area numerical weather prediction models. The results of the monthlong forecast experiments suggest that the REG DA approach has the potential to deliver the desired benefits.

published proceedings

  • MONTHLY WEATHER REVIEW

author list (cited authors)

  • Herrera, M. A., Szunyogh, I., Brainard, A., Kuhl, D. D., Hoppel, K., Bishop, C. H., ... Rainwater, S.

citation count

  • 0

complete list of authors

  • Herrera, Michael A||Szunyogh, Istvan||Brainard, Adam||Kuhl, David D||Hoppel, Karl||Bishop, Craig H||Holt, Teddy R||Zhao, Qingyun||Rainwater, Sabrina

publication date

  • December 2018