Evaluating the tradeoffs between ensemble size and ensemble resolution in an ensemble-variational data assimilation system
This paper examines a fundamental question in the modern era of ensemble weather forecasting: what is a better use of additional computer resources, increasing the spatial resolution of the forecast model or increasing the ensemble size? Although both changes improve forecast performance in the National Centers for Environmental Prediction operational forecast and data assimilation system, increasing model resolution leads to slightly but significantly more improvement. Much of the benefit of increasing resolution comes from reducing small-scale errors, and eliminating the need for a single deterministic very-high-resolution control forecast, replacing it with an ensemble average.
- Article Category
- Research Articles
Evaluating the trade‐offs between ensemble size and ensemble resolution in an ensemble‐variational data assimilation system
- First Published:
- | DOI:
- Tangent linear super-parameterization of convection in a 10-layer global atmosphere with calibrated climatology
- Evaluating the tradeoffs between ensemble size and ensemble resolution in an ensemble-variational data assimilation system
- Mapping the global depth to bedrock for land surface modeling
- The Tropical Rain belts with an Annual cycle and a Continent Model Intercomparison Project: TRACMIP
Download the App
New Android App Available!
iOS App for iPad or iPhone
AGU Career Center
Featured Special Collection
The Max Planck Institute for Meteorology Earth System Model
JAMES Special Issue about the MPI-ESM, its components and the CMIP5 simulations.