IMERG BraMaL
Improved IMERG-based precipitation estimation product for Brazil through the use of machine learning techniques
Produto melhorado de estimativa de precipitação baseado no IMERG para o Brasil por meio do uso de técnicas de Machilne Learning
Description
This page presents basic information about the AI-enhanced monthly precipitation estimate dataset for Brazil.
Variable
Precipitation (mm).
Temporal resolution
Monthly
Temporal coverage
2001/01/01-2021/12/31
Spatial resolution
0.1° x 0.1°
Spatial coverage
Brazilian territory
Latitude: 33.85° S - 5.35° N
Longitude: 73.85° W -34.85° W
Methods
Waiting for evaluation
Citation
Freitas, E. da S., Coelho, V. H. R., Bertrand, G. F., Lemos, F. C., & Almeida, C. das N. (2024). IMERG BraMaL: An improved gridded monthly rainfall product for Brazil based on satellite-based IMERG estimates and machine learning techniques. International Journal of Climatology. https://doi.org/10.1002/joc.8562
Questions
If you have problems with the gridded dataset, contact: emerson.freitas@ifpb.edu.br
Project mission
Currently, where climate events are becoming more unpredictable and climate changes represent a global challenge, it is crucial to have access to accurate and up-to-date precipitation information. We present to you our innovative product for enhanced precipitation estimation, developed based on the renowned NASA IMERG (Integrated Multi-satellitE Retrievals for GPM) technology, combined with powerful Artificial Intelligence techniques.
Our mission is to provide an advanced and easily accessible solution for precipitation estimation, allowing researchers, professionals, and enthusiasts to use reliable data in their analyses and studies. Building on years of research and development during a doctoral program initiated in 2019, we have implemented Machine Learning algorithms to further enhance the accuracy and quality of the estimates.
By harnessing the power of Artificial Intelligence, our product offers more precise and detailed precipitation estimates that can be downloaded and used for a wide range of applications. This advanced approach enables in-depth analysis of precipitation patterns in different regions and time scales, providing valuable insights for water resource planning, flood forecasting, agriculture, climate risk management, and much more.
We are committed to providing high-quality data and powerful tools, empowering the scientific community, research institutions, and the public and private sectors to effectively address precipitation-related challenges. Additionally, we promote collaboration and knowledge exchange to drive innovation and scientific progress.
Join us on this journey to explore the secrets of precipitation and confront the climate challenges of our time. Download our enhanced precipitation estimation product and discover new opportunities for your meteorological analyses and studies, fueled by the powerful combination of cutting-edge technology and artificial intelligence.
Questions?
Contact us by e-mail [emerson.freitas@ifpb.edu.br] to learn more about the product