Name
Title | ||
|---|---|---|
Variational Deconvolution of Conically Scanned Passive Microwave Observations With Error Quantification. |
Abstract | ||
|---|---|---|
The deconvolution of potentially cloud-affected passive microwave brightness temperatures is an important step for utilization in direct data assimilation in cloud-resolving numerical weather prediction (NWP) models for the purpose of improving model initial conditions. Geophysical retrieval algorithms, such as precipitation rate retrievals, also benefit from consistent resolution across channels.... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2018.2864097 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Deconvolution,Microwave theory and techniques,Brightness temperature,Uncertainty,Microwave antennas,Microwave imaging | Minimum-variance unbiased estimator,Remote sensing,Deconvolution,Posterior probability,Microwave imaging,Data assimilation,Special sensor microwave/imager,Mathematics,Estimator,Covariance | Journal |
Volume | Issue | ISSN |
57 | 2 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. L. Steward | 1 | 8 | 1.16 |
| Ziad S. Haddad | 2 | 20 | 9.43 |
| Svetla Hristova-Veleva | 3 | 16 | 5.90 |
| Sahra Kacimi | 4 | 0 | 0.34 |
| Eun-Kyoung Seo | 5 | 0 | 0.34 |