EGU23-17124, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-17124
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Statistical and hydrological evaluation of precipitation estimates and simulations from the remote sensing technologies and WRF modeling over the Peruvian Andes region

Mengye Chen1, Yongjie Huang2, Zhi Li1, Albert Johan Mamani Larico3, Ming Xue2, Yang Hong1, Xiao-Ming Hu2, Hector Mayol Novoa3, Elinor Martin2, Renee McPherson2, Andres Vitaliano Perez3, and Isaac Yanqui Morales3
Mengye Chen et al.
  • 1School of Civil Engineering and Environmental Engineering, University of Oklahoma Norman, OK 73071 USA
  • 2Center for Analysis and Prediction of Storms, University of Oklahoma Norman, OK 73071 USA
  • 3Escuela de Ingeniería Civil de la Universidad Nacional de San Agustín de Arequipa, Arequipa 04001, Peru

Peruvian Andes region has been proven in multiple studies to be one of a few regions have poor performance of many global precipitation estimations, due to its complex terrain and extreme interruption of atmospheric movement by the Andes mountain. This study provides an evaluation over two Peruvian local precipitation products PISCO and RAIN4PE, along with a regional dynamic downscaled WRF model simulation, and GPM-IMERG. The precipitation products were evaluated against local rain gauge data and used as the forcing data for CREST-VEC model to test the uncertainties of the precipitation products in a extremely dry region in Peru. This study readdress the accuracy issue of precipitation products in the Peruvian Andes region, and highlights the importance of using WRF modeling simulation to ‘fill-the-blank’ of heterogenous rain gauge distribution, when remote-sensing technologies fail to perform in this area.

How to cite: Chen, M., Huang, Y., Li, Z., Mamani Larico, A. J., Xue, M., Hong, Y., Hu, X.-M., Mayol Novoa, H., Martin, E., McPherson, R., Vitaliano Perez, A., and Yanqui Morales, I.: Statistical and hydrological evaluation of precipitation estimates and simulations from the remote sensing technologies and WRF modeling over the Peruvian Andes region, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-17124, https://doi.org/10.5194/egusphere-egu23-17124, 2023.