IAHR, founded in 1935, is a worldwide independent member-based organisation of engineers and water specialists working in fields related to the hydro-environmental sciences and their practical application. Activities range from river and maritime hydraulics to water resources development and eco-hydraulics, through to ice engineering, hydroinformatics, and hydraulic machinery.
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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Water resources and hydroinformatics : Evaluation of trmm precipitation data for estimation of daily stream flows in small wathersheds
Evaluation of trmm precipitation data for estimation of daily stream flows in small wathersheds
mation and prediction are a very important tool for water resources management however, many watersheds
are ungauged or present incomplete records for precipitation and discharges, especially in small watersheds at daily level.
This work exposes a methodology which contemplates the use of TRMM (Tropical Rainfall Measuring Mission) daily
precipitation data in its current version 3B42V7 over small watersheds located in Northern Coast of Peru, a region with
strong climate variability. This dataset was corrected with in-situ data and evaluated into the GR4J lumped model. TRMM
correction was based on the wavelet transform, a multi-resolution analysis with wavelet and entropy analysis, in function of
in-situ precipitation, because of the advantages of this methodology for non-stationary series and a better statistical
approximation for point-to-grid downscaling methodologies. This procedure retains the main features of the original signal
as the in-situ daily data from which is reconstructed the TRMM as a corrected data. The calibration parameters of GR4J
model show a temporal and spatial low variation, allowing its extension and use over incomplete periods or ungauged nearby
small watersheds. Finally, stream flows generated with original TRMM present sub estimations with respect to in-situ records
in the order of 5% of RMSE at daily level. The corrected TRMM improved this estimation between simulated and in-situ
stream flows with 1.5% of RMSE which suggest that TRMM data can be used without correction in some watersheds
depending of climate condition and other factors like elevation, but in the highlands it is necessary to correct TRMM data to
improve the application of the GR4J model. These results encourage its use over small watersheds.Form Required :
File Size : 1,113,134 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Water resources and hydroinformatics
Date Published : 19/08/2015
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