aWhere Case Study: Central & South America

aWhere Case Study: Central & South America

Weather Insights:

As the rainy season ends, much of Central America was drier than normal while in South America, the onset of the rainy season is delayed.  Many blame the erratic weather patterns for migration of thousands out of the region. Weather variability also puts key crops such coffee at risk by making it more susceptible to diseases like coffee rust and pests like the coffee borer. The maps below show the conditions over the past 30 days. Brazil, a major agricultural exporter, is also experiencing weather variability which could impact maize, soybean, and rice production as farmers begin planting.

Analytics: Delayed planting in Brazil

Brazil is experiencing drier than normal conditions over the past month which has caused delays in planting one of its largest crops, soybeans. The delayed soy crop also puts the corn planting at risk, which is typically planted after soybean. The rain must stay consistent throughout the next few months for good yields this cropping season.

Implications:

aWhere’s weather data and models help service providers, industry and farmer producer organizations in Central and South America and around the world adapt to weather variability.  In-time information and insight is imperative to deliver economic resilience to climate change in agriculture, energy, health, trade (domestic and international) and watershed management.  

Contact aWhere for more information: Analytics driving economic resilience.


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