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
N1 - Publisher Copyright:
© 2016 The Authors.
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
UR - http://www.scopus.com/inward/record.url?scp=84997703664&partnerID=8YFLogxK
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 -