Prediction of precipitable vapor content with an artificial neural network based on GPS data
- Format
- Article
- Status
- publishedVersion
- Description
Proyecto PIC-13-IGM-002: Determinaci?n del marco de referencia geod?sico
The Global Positioning System (GPS) consist of a constellation of satellites that transmit of radio signals to large numbers of users engaged in navigation, time transfer, and relative positioning. These L-band radio signals are delayed by atmospheric water vapor while they travel from GPS satellites to ground GPS receivers. Water vapor plays a crucial role in atmospheric processes that act over a wide range of temporal and spatial scales, from global climate to micrometeorology.
- Publication Year
- 2015
- Language
- eng
- Topic
- CLIMATOLOG?A
METEOROLOG?A
ATMOSPHERIC WATER VAPOR
GLOBAL POSITIONING SYSTEM
GPS PARAMETERS
PRECIPITABLE
WATER CONTENT
NEURAL NETWORK
RADIAL BASIS FUNCTION
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- openAccess