Evaluation of easterly wave disturbances over the tropical South Atlantic in CMIP6 models

Author:

Cavalcante Lucas1ORCID,Gomes Helber2,Hodges Kevin3,Ray Pallav4,Herdies Dirceu5,Barbosa Henrique6,Gonçalves Weber7,Silva Maria Cristina2,Brito José Ivaldo1,Nobre João Pedro8,Lyra Matheus2,Baltaci Hakki9

Affiliation:

1. Federal University of Campina Grande: Universidade Federal de Campina Grande

2. Federal University of Alagoas: Universidade Federal de Alagoas

3. University of Reading Department of Meteorology

4. Florida Institute of Technology

5. INPE CPTEC: Instituto Nacional de Pesquisas Espaciais Centro de Previsao de Tempo e Estudos Climaticos

6. University of Maryland Baltimore County

7. Federal University of Rio Grande do Sul: Universidade Federal do Rio Grande do Sul

8. INPE: Instituto Nacional de Pesquisas Espaciais

9. Gebze Technical University: Gebze Teknik Universitesi

Abstract

Abstract

This study assesses the performance of the latest phase of Coupled Model Intercomparison Project (CMIP6) models in simulating easterly wave disturbances (EWD) over the tropical South Atlantic (TSA) impacting northeast Brazil (NEB). Initially, we evaluate simulated precipitation from 17 historical CMIP, 16 AMIP, 7 hist-1950, and 10 highresSST-present models against the Global Precipitation Climatology Project (GPCP) dataset to identify models that accurately reproduce the spatial and temporal precipitation patterns in the study region. The ensemble's spatial analysis demonstrates their capability in reproducing annual and seasonal precipitation climatology. However, models underestimate precipitation intensity along NEB's coast while overestimating it in TSA and NEB's north. Model uncertainties tend to be greater with higher latitudes. The models represented the annual cycle in all subareas within the study region, particularly from July to October, albeit with a greater spread in the first half of the year, especially over the Intertropical Convergence Zone (ITCZ). Based on it, three top-performing models from each ensemble were selected for EWD evaluation. The automatic tracking algorithm for EWDs showed the model's ability to represent mean values of EWD lifetime (~ 6 days) and phase speed (~ 7 m s-1) as found in ERA5 reanalysis. However, they failed to capture EWD's interannual variability or climatological mean frequency. Despite CMIP6 model weaknesses, they accurately identified two primary EWD genesis regions: one over the TSA and another near the West African coast. Overall, CMIP6 models, particularly atmospheric and high-resolution models (HighResMIP), effectively captured precipitation climatology and EWD characteristics over NEB and the adjacent TSA.

Publisher

Springer Science and Business Media LLC

Reference56 articles.

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3. Evaluation of the performance of CMIP6 models in reproducing rainfall patterns over North Africa;Babaousmail H;Atmosphere,2021

4. Bazzanela AC, Dereczynski C, Luiz-Silva W, Regoto P (2023) Performance of CMIP6 models over South America. Climate Dynamics, pp. 1–16

5. Chou SC (1990) Analysis of easterly wave disturbances over the South Equatorial Atlantic Ocean. Master Dissertation, National Institute for Space Research (in Portuguese)

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