The search for data on climate change by researchers, government agencies or private companies is a recurrent demand. However, it is hampered by the means of access to this type of information, mainly due to the complexity of extracting, reformatting, and making this data available, which can exceed terabytes in size. The PROJETA platform aims to automate the process of extracting and making available the dataset of global climate change projections downscaling to 20 km over South America generated by the model Eta at CPTEC/INPE. The data request, processing, and conversion process, which used to be done manually and in a oneto-one data delivery basis. The objective of this work is to describe the methodology used to create the platform PROJETA and the information made available. It is a service that allows access to a broad set of different climatic variables. This dataset is available to different users via the Web or API, in a flexible way in terms of data format and data volume. In addition, it integrates technologies that allow the access to the database in an efficient and easy way for use in studies of impact, vulnerability, and adaptation to climate change in various socio-economic sectors.

A previsão do tempo e clima são ferramentas muito importantes para tomada de decisão em diversasáreas como, por exemplo, na agricultura, na hidrologia e na geração de energia. A combinação de tecnologias modernas e a disponibilização de dados meteorológicos fornecem um mecanismo para aumentar a produtividade e minimizar riscos relacionados ao clima. Neste artigo é descrito o desenvolvimento de uma plataforma para automatizar o processo de requisição, de disponibilização e de visualização de dados gerados pelos modelos de previsão de mudanças climáticas do CPTEC/INPE.

Brazil is the second-largest soybean producer. With the arrival of Asian soybean rust in the Western Hemisphere in 2001, a considerable amount of resources has been allocated to understand and control this important yield-limiting disease. Due its rapidly dissemination, in 2004, the federal government led an effort to create the Asian soybean rust consortium, with the main goal of coordinating research activities involving public and private sector. This paper describes the development of a mobile application, designed to support the Asian Soybean Rust Consortium to monitor, in time and space, occurrences of Asian soybean rust in Brazil.