Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations

Author:

Huang Yongjie1ORCID,Xue Ming12ORCID,Hu Xiao‐Ming12,Martin Elinor23ORCID,Novoa Hector Mayol4ORCID,McPherson Renee A.35ORCID,Liu Changhai6,Ikeda Kyoko6ORCID,Rasmussen Roy6,Prein Andreas F.67ORCID,Perez Andres Vitaliano4ORCID,Morales Isaac Yanqui4ORCID,Ticona Jara José Luis8ORCID,Flores Luna Auria Julieta4ORCID

Affiliation:

1. Center for Analysis and Prediction of Storms University of Oklahoma Norman OK USA

2. School of Meteorology University of Oklahoma Norman OK USA

3. South Central Climate Adaptation Science Center University of Oklahoma Norman OK USA

4. Universidad Nacional de San Agustín de Arequipa Arequipa Perú

5. Department of Geography and Environmental Sustainability University of Oklahoma Norman OK USA

6. NSF National Center for Atmospheric Research Boulder CO USA

7. Institute for Atmospheric and Climate Science, ETH Zürich Zürich Switzerland

8. Servicio Nacional de Meteorología e Hidrología del Perú (SENAMHI) Arequipa Perú

Abstract

AbstractUsing the Weather Research and Forecasting model with two planetary boundary layer schemes, ACM2 and MYNN, convection‐permitting model (CPM) regional climate simulations were conducted for a 6‐year period, including a one‐year spin‐up period, at a 15‐km grid spacing covering entire South America and a nested convection‐permitting 3‐km grid spacing covering the Peruvian central Andes region. These two CPM simulations along with a 4‐km simulation covering South America produced by National Center for Atmospheric Research (NCAR), three gridded precipitation products, and rain gauge data in Peru and Brazil, are used to document the characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian central Andes region. Results show that all km‐scale simulations generally capture the spatiotemporal patterns of precipitation and MCSs at both seasonal and diurnal scales, although biases exist in aspects such as precipitation intensity and MCS frequency, size, propagation speed, and associated precipitation intensity. The 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin, based on the comparison to the gridded precipitation products and gauge data. Dynamic factors, primarily low‐level jet and terrain‐induced uplift, are the key drivers for precipitation and MCS genesis along the east slope of the Andes, while thermodynamic factors control the precipitation and MCS activity in the western Amazon Basin and over elevated mountainous regions. The study suggests model improvements and better model configurations for future regional climate projections.

Funder

Universidad Nacional de San Agustin de Arequipa

Publisher

American Geophysical Union (AGU)

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