Abstract
In hydrology, satellite based meteorological products are used to retrieve the components of the water cycle for water resources assessment and management, as they provide large spatial coverage on regular temporal scale. Several authors report on systematic and random errors in these products. However, there is a number of methods that can be applied to correct these errors, in specific the systematic errors.
In this study four satellite meteorological products CMORPH 8km, RFE 2.0 and TRMM 3B42 v7 and FEWSNET PET were assessed and corrected for their systematic errors. After bias correction, these products were also evaluated as forcing data for stream flow modelling in HBV-light hydrological model in Nyabarongo basin.
For this study daily time series data for a 5 years period (2009-2013) were used. The differences between the data retrieved from the satellite based meteorological products and the gauge station measurements were estimated using statistical measures and analysis.
The rainfall detection capability analysis of the satellite products was conducted by means of the contingency table score components.
These analyses were done by point to pixel comparison based to the location of the stations and their counterpart’s products images pixels. Also areal representation of the meteorological variables from gauge stations and satellite products, was made to allow assessment at sub-basin scale.
In this study four satellite meteorological products CMORPH 8km, RFE 2.0 and TRMM 3B42 v7 and FEWSNET PET were assessed and corrected for their systematic errors. After bias correction, these products were also evaluated as forcing data for stream flow modelling in HBV-light hydrological model in Nyabarongo basin.
For this study daily time series data for a 5 years period (2009-2013) were used. The differences between the data retrieved from the satellite based meteorological products and the gauge station measurements were estimated using statistical measures and analysis.
The rainfall detection capability analysis of the satellite products was conducted by means of the contingency table score components.
These analyses were done by point to pixel comparison based to the location of the stations and their counterpart’s products images pixels. Also areal representation of the meteorological variables from gauge stations and satellite products, was made to allow assessment at sub-basin scale.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of GeoTech Rwanda 2015 |
| Subtitle of host publication | 18-20 November 2015, Kigali, Rwanda |
| Place of Publication | Kigali |
| Publisher | University of Rwanda |
| Number of pages | 9 |
| Publication status | Published - 18 Nov 2015 |
| Event | GeoTech Rwanda: International Conference on Geospatial Technologies for Sustainable Urban and Rural Development 2015 - Kigali, Rwanda Duration: 18 Nov 2015 → 20 Nov 2015 |
Conference
| Conference | GeoTech Rwanda: International Conference on Geospatial Technologies for Sustainable Urban and Rural Development 2015 |
|---|---|
| Country/Territory | Rwanda |
| City | Kigali |
| Period | 18/11/15 → 20/11/15 |