Remote Sens. 2009, 1(3), 606-619; doi:10.3390/rs1030606
Article

Accounting for Uncertainties of the TRMM Satellite Estimates

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Received: 12 August 2009; in revised form: 8 September 2009 / Accepted: 8 September 2009 / Published: 11 September 2009
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Recent advances in the field of remote sensing have led to an increase in available rainfall data on a regional and global scale. Several NASA sponsored satellite missions provide valuable precipitation data. However, the advantages of the data are limited by complications related to the indirect nature of satellite estimates. This study intends to develop a stochastic model for uncertainty analysis of satellite rainfall fields through simulating error fields and imposing them over satellite estimates. In order to examine reliability and performance of the presented model, ensembles of satellite estimates are simulated for a large area across the North and South Carolina. The generated ensembles are then compared with original satellite estimates with respect to statistical properties and spatial dependencies. The results show that the model can be used to describe the uncertainties associated to TRMM multi-satellite precipitation estimates. The presented model is validated using random sub-samples of the observations based on the bootstrap technique. The results indicate that the model performs reasonably well with different numbers of available rain gauges.
Keywords: stochastic simulation; TRMM data; random error; rainfall ensemble; uncertainty analysis; satellite estimates; bootstrap technique
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MDPI and ACS Style

AghaKouchak, A.; Nasrollahi, N.; Habib, E. Accounting for Uncertainties of the TRMM Satellite Estimates. Remote Sens. 2009, 1, 606-619.

AMA Style

AghaKouchak A, Nasrollahi N, Habib E. Accounting for Uncertainties of the TRMM Satellite Estimates. Remote Sensing. 2009; 1(3):606-619.

Chicago/Turabian Style

AghaKouchak, Amir; Nasrollahi, Nasrin; Habib, Emad. 2009. "Accounting for Uncertainties of the TRMM Satellite Estimates." Remote Sens. 1, no. 3: 606-619.

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