Name
Abstract | ||
|---|---|---|
Considers the retrieval of cloud liquid from the brightness temperature measurements taken by a ground-based multifrequency microwave radiometer using a neural network-based inversion algorithm. Comparisons between the retrieved quantity and the atmospheric information provided by active instruments such as a 94-GHz radar and a lidar ceilometer, co-located on the RAL Chilbolton Observatory site (UK), are carried out. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026787 | IGARSS |
Keywords | Field | DocType |
clouds,microwave measurement,radiometry,remote sensing,ral chilbolton observatory,rutherford appleton laboratory,uk,active instruments,atmospheric information,brightness temperature measurements,cloud liquid content,ground-based multifrequency microwave radiometer,ground-based radiometric retrieval,lidar ceilometer,neural network-based inversion algorithm,radar,neural networks,information retrieval,microwave radiometer,temperature measurement,neural network,brightness temperature | Radar,Meteorology,Observatory,Brightness temperature,Computer science,Ceilometer,Remote sensing,Lidar,Radiometry,Cloud computing,Microwave radiometer | Conference |
Volume | Citations | PageRank |
5 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Del Frate | 1 | 508 | 72.43 |
| Giovanni Schiavon | 2 | 123 | 24.55 |
| Domenico Solimini | 3 | 65 | 15.10 |
| patricia simpson | 4 | 0 | 0.34 |
| e c brand | 5 | 0 | 0.34 |
| c l wrench | 6 | 0 | 0.34 |