A key component of the EO projects is the validation of the EO data products through a Ground Truth Validation. In the validation process data can be collected from various ground-based sources and sensors (in situ measurements, instruments, crowd-sourcing, open source platform), then quality-controlled, and finally compared with the satellite products in order to get validated retrievals. The objective of this work is to develop a system that uses big data capabilities and tools for validation purposes, in particular for the assessment of a new weather nowcasting system, based on a predictive model exploiting Meteosat Second Generation (MSG) imagery.
Iannitto, G., DEL FRATE, F., de Rosa, M. (2014). On the potential of Big Data capabilities for the validation of a weather forecasting system. In Proceedings of the 2014 conference on Big Data from Space [10.2788/1823].
On the potential of Big Data capabilities for the validation of a weather forecasting system
DEL FRATE, FABIO;
2014-01-01
Abstract
A key component of the EO projects is the validation of the EO data products through a Ground Truth Validation. In the validation process data can be collected from various ground-based sources and sensors (in situ measurements, instruments, crowd-sourcing, open source platform), then quality-controlled, and finally compared with the satellite products in order to get validated retrievals. The objective of this work is to develop a system that uses big data capabilities and tools for validation purposes, in particular for the assessment of a new weather nowcasting system, based on a predictive model exploiting Meteosat Second Generation (MSG) imagery.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
