Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. the Case of Piura Watershed in Peru

Juan Cabrera; Raul Tupac Yupanqui; Pedro Rau

doi:10.1016/j.proeng.2016.07.436

Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. the Case of Piura Watershed in Peru

Juan Cabrera, Raul Tupac Yupanqui, Pedro Rau

Research output: Contribution to journal › Conference article › peer-review

16 Scopus citations

Abstract

The use of TRMM satellite daily information (Tropical Rainfall Measuring Mission) is proposed to estimate extreme precipitation over ungauged areas and time periods. Assuming precipitation non-stationarity as signal fluctuations due to the ENSO impact, it is possible to find common features between in-situ and TRMM data sets by multi-resolution analysis (MRA) with wavelet transform, especially during the wet period where maximal precipitation series are obtained. This method could be applied on other stations as a regionalization for obtaining rainfall datasets as a solution of data scarcity. It is shown some results obtained into the objectives of a local project of improving the statistical downscaling of TRMM and its applicability in water engineering projects.

Original language	English
Pages (from-to)	154-157
Number of pages	4
Journal	Procedia Engineering
Volume	154
DOIs	https://doi.org/10.1016/j.proeng.2016.07.436
State	Published - 2016
Externally published	Yes
Event	12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016 - Incheon, Korea, Republic of Duration: 21 Aug 2016 → 26 Aug 2016

Keywords

ENSO
Extreme events
TRMM
Wavelet transform

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10.1016/j.proeng.2016.07.436

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title = "Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. the Case of Piura Watershed in Peru",

abstract = "The use of TRMM satellite daily information (Tropical Rainfall Measuring Mission) is proposed to estimate extreme precipitation over ungauged areas and time periods. Assuming precipitation non-stationarity as signal fluctuations due to the ENSO impact, it is possible to find common features between in-situ and TRMM data sets by multi-resolution analysis (MRA) with wavelet transform, especially during the wet period where maximal precipitation series are obtained. This method could be applied on other stations as a regionalization for obtaining rainfall datasets as a solution of data scarcity. It is shown some results obtained into the objectives of a local project of improving the statistical downscaling of TRMM and its applicability in water engineering projects.",

keywords = "ENSO, Extreme events, TRMM, Wavelet transform",

author = "Juan Cabrera and Yupanqui, {Raul Tupac} and Pedro Rau",

note = "Publisher Copyright: {\textcopyright} 2016 The Authors.; 12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016 ; Conference date: 21-08-2016 Through 26-08-2016",

year = "2016",

doi = "10.1016/j.proeng.2016.07.436",

language = "English",

volume = "154",

pages = "154--157",

journal = "Procedia Engineering",

issn = "1877-7058",

}

TY - JOUR

T1 - Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. the Case of Piura Watershed in Peru

AU - Cabrera, Juan

AU - Yupanqui, Raul Tupac

AU - Rau, Pedro

PY - 2016

Y1 - 2016

N2 - The use of TRMM satellite daily information (Tropical Rainfall Measuring Mission) is proposed to estimate extreme precipitation over ungauged areas and time periods. Assuming precipitation non-stationarity as signal fluctuations due to the ENSO impact, it is possible to find common features between in-situ and TRMM data sets by multi-resolution analysis (MRA) with wavelet transform, especially during the wet period where maximal precipitation series are obtained. This method could be applied on other stations as a regionalization for obtaining rainfall datasets as a solution of data scarcity. It is shown some results obtained into the objectives of a local project of improving the statistical downscaling of TRMM and its applicability in water engineering projects.

AB - The use of TRMM satellite daily information (Tropical Rainfall Measuring Mission) is proposed to estimate extreme precipitation over ungauged areas and time periods. Assuming precipitation non-stationarity as signal fluctuations due to the ENSO impact, it is possible to find common features between in-situ and TRMM data sets by multi-resolution analysis (MRA) with wavelet transform, especially during the wet period where maximal precipitation series are obtained. This method could be applied on other stations as a regionalization for obtaining rainfall datasets as a solution of data scarcity. It is shown some results obtained into the objectives of a local project of improving the statistical downscaling of TRMM and its applicability in water engineering projects.

KW - ENSO

KW - Extreme events

KW - TRMM

KW - Wavelet transform

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U2 - 10.1016/j.proeng.2016.07.436

DO - 10.1016/j.proeng.2016.07.436

M3 - Conference article

AN - SCOPUS:84997703664

SN - 1877-7058

VL - 154

SP - 154

EP - 157

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 12th International Conference on Hydroinformatics - Smart Water for the Future, HIC 2016

Y2 - 21 August 2016 through 26 August 2016

ER -

Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. the Case of Piura Watershed in Peru

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Keywords

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