Imperial College London
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ProfessorWouterBuytaert

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor in Hydrology and Water Resources
 
 
 
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Contact

 

+44 (0)20 7594 1329w.buytaert Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

403ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Manz:2017:10.1175/JHM-D-16-0277.1,
author = {Manz, B and Paez-Bimos, S and Horna, N and Buytaert, W and Ochoa-Tocachi, B and Lavado-Casimiro, W and Willems, B},
doi = {10.1175/JHM-D-16-0277.1},
journal = {Journal of Hydrometeorology},
pages = {2469--2489},
title = {Comparative Ground Validation of IMERG and TMPA at Variable Spatiotemporal Scales in the Tropical Andes},
url = {http://dx.doi.org/10.1175/JHM-D-16-0277.1},
volume = {Sept 2017},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - An initial ground validation of the Integrated Multisatellite Retrievals for GPM (IMERG) Day-1 product from March 2014 to August 2015 is presented for the tropical Andes. IMERG was evaluated along with the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) against 302 quality-controlled rain gauges across Ecuador and Peru. Detection, quantitative estimation statistics, and probability distribution functions are calculated at different spatial (0.1°, 0.25°) and temporal (1 h, 3 h, daily) scales. Precipitation products are analyzed for hydrometeorologically distinct subregions. Results show that IMERG has a superior detection and quantitative rainfall intensity estimation ability than TMPA, particularly in the high Andes. Despite slightly weaker agreement of mean rainfall fields, IMERG shows better characterization of gauge observations when separating rainfall detection and rainfall rate estimation. At corresponding space–time scales, IMERG shows better estimation of gauge rainfall probability distributions than TMPA. However, IMERG shows no improvement in both rainfall detection and rainfall rate estimation along the dry Peruvian coastline, where major random and systematic errors persist. Further research is required to identify which rainfall intensities are missed or falsely detected and how errors can be attributed to specific satellite sensor retrievals. The satellite–gauge difference was associated with the point-area difference in spatial support between gauges and satellite precipitation products, particularly in areas with low and irregular gauge network coverage. Future satellite–gauge evaluations need to identify such locations and investigate more closely interpixel point-area differences before attributing uncertainties to satellite products.
AU  - Manz,B
AU  - Paez-Bimos,S
AU  - Horna,N
AU  - Buytaert,W
AU  - Ochoa-Tocachi,B
AU  - Lavado-Casimiro,W
AU  - Willems,B
DO  - 10.1175/JHM-D-16-0277.1
EP  - 2489
PY  - 2017///
SN  - 1525-7541
SP  - 2469
TI  - Comparative Ground Validation of IMERG and TMPA at Variable Spatiotemporal Scales in the Tropical Andes
T2  - Journal of Hydrometeorology
UR  - http://dx.doi.org/10.1175/JHM-D-16-0277.1
UR  - http://hdl.handle.net/10044/1/52809
VL  - Sept 2017
ER  -
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