Articles | Volume 20, issue 1
https://doi.org/10.5194/hess-20-125-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-125-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spatio-temporal assessment of WRF, TRMM and in situ precipitation data in a tropical mountain environment (Cordillera Blanca, Peru)
L. Mourre
CORRESPONDING AUTHOR
IRD/UGA/CNRS/G-INP, LTHE UMR 5564, Grenoble, France
T. Condom
IRD/UGA/CNRS/G-INP, LTHE UMR 5564, Grenoble, France
C. Junquas
IRD/UGA/CNRS/G-INP, LTHE UMR 5564, Grenoble, France
Instituto Geofísico del Perú (IGP), Lima, Peru
T. Lebel
IRD/UGA/CNRS/G-INP, LTHE UMR 5564, Grenoble, France
J. E. Sicart
IRD/UGA/CNRS/G-INP, LTHE UMR 5564, Grenoble, France
R. Figueroa
UNASAM, Huaraz, Peru
A. Cochachin
Glaciology and Water Resources Unit, National Water Authority (ANA-UGRH),
Huaraz, Peru
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Latest update: 13 Dec 2024
Short summary
Three different types of gridded precipitation products are compared in a high glaciated tropical mountain environment (Cordillera Blanca, Peru): ground-based interpolation, a satellite-derived product (TRMM3B42), and outputs from the WRF regional climate model. While none of the products meets the challenge of representing both accumulated quantities and frequency of occurrence at the short timescale, we concluded that new methods should be used to merge those various precipitation products.
Three different types of gridded precipitation products are compared in a high glaciated...