Home ›
Entities
› academia
› Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors
Research article (Remote Sensing, 2019) · cited 93× · AI/ML
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors
Summary
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors is a scholarly article[1].
Key Facts
Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors. Retrieved May 24, 2026, from https://4ort.xyz/entity/neural-network-approach-to-forecast-hourly-intense-rainfall-using-gnss-precipitable-water-vapor-and-meteorological-senso
MLA“Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neural-network-approach-to-forecast-hourly-intense-rainfall-using-gnss-precipitable-water-vapor-and-meteorological-senso.
BibTeX@misc{4ortxyz_neural-network-approach-to-forecast-hourly-intense-rainfall-using-gnss-precipitable-water-vapor-and-meteorological-senso_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors}}, year = {2026}, url = {https://4ort.xyz/entity/neural-network-approach-to-forecast-hourly-intense-rainfall-using-gnss-precipitable-water-vapor-and-meteorological-senso}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors — https://4ort.xyz/entity/neural-network-approach-to-forecast-hourly-intense-rainfall-using-gnss-precipitable-water-vapor-and-meteorological-senso (retrieved 2026-05-24)
