José Antonio Aravéquia

Dr. José Antonio Aravéquia graduated in Physics in 1990 from the Universidade Estadual Paulista UNESP. He completed his master's degree in meteorology at INPE in 1993, incorporating the effects of latent heat release and Newtonian cooling into the numerical model for studying baroclinic events. He began working at CPTEC/INPE in 1993 as a scholarship holder. In 1994, he passed the public examination and entered INPE for the INPE research career. He participated in the implementation of the 1st Atmospheric General Circulation Model MCGA of CPTEC. In 1995, he was awarded the WMO Young Scientist Award for the article The Role of Moist Baroclinic Instability in the Growth and Structure of Monsoon Depressions derived from his master's dissertation. In 1997, he began implementing data assimilation for the regional ETA model, which gave rise to the regional RPSAS-ETA reanalysis for the period 2000-2004.He obtained his doctorate from IAG-USP with the thesis Influence Functions with Temporal Dependence: applications in the interpretation of the drift of weather forecasts and the genesis of climate anomalies in 2003.From 2006 to 2007, under the supervision of Dr. Eugenia Kalnay, he worked with the LETKF data assimilation system at the University of Maryland USA, for which he developed the methodology for assimilating radiances and participated in the development of the correction of observation bias.He was head of the Meteorological Operations Division from 2009 to 2013, working to ensure that CPTEC complied with WMO specifications to join the Global Producing Centres for Long-Range Forecasts, and supporting the dissemination of weather and climate forecasts in the major media, with daily live insertions on TV Globo and Globo News, and helping to establish a space for meteorology in the news programs.As General Coordinator of CPTEC, from 2014 to 2015, he worked to obtain vacancies for public competitions for technologists and researchers, which consolidated CPTEC's work teams. To meet the forecast specifications for the 2016 Olympics, he supported the implementation of numerical forecasting with the WRF model.He was a visiting researcher from December 2019 to July 2020 at the NCEP/NOAA Environmental Modeling Center in the United States of America, to develop the project Evaluation of the FV3-SAR model for forecasting convective-scale events in South America. As a professor at PGMET, he taught Numerical Prediction of the Atmosphere and Dynamic Meteorology, and supervised student research on topics related to: remote influences of heat sources, characterization and assimilation of remote sensing data, energy balance, study of planetary boundary layer schemes, impact of sea ice extent and study of weather and climate events. He is currently implementing the JEDI assimilation system for the MONAN model, which will enable the application of hybrid Ensemble-Variational schemes in studies of the impact of assimilation of remote sensing data of the atmosphere. He also works as a scientific reviewer for the following journals: Bulletin of the American Meteorological Society, Remote Sensing, Sensors and Meteorology. (Source: Lattes Curriculum)