Balancing aggregation and smoothing errors in inverse models
Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge....
| Published in: | Atmospheric Chemistry and Physics |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
|
| Online Access: | http://www.atmos-chem-phys.net/15/7039/2015/acp-15-7039-2015.pdf |