Michael Ferrari is the vice president and director of applied research at Weather Trends International. His primary research interests lie at the interface of climatology, environmental modeling/analysis, and the subsequent development of commercial applications that can benefit from this research. Michael is a frequent speaker at both scientific and commodity conferences around the world, where his talks focus on the confluence of weather, climate and their relationship to society, with a particular focus on weather and agricultural production and natural hazards. In addition, he builds data-driven applications for the physical commodity and risk management sectors utilizing global weather, satellite-derived, economic and sensor network data. Michael holds a PhD in Geophysical Fluid Dynamics from Rutgers, and a BS in Economics from West Chester.
The increase of large-scale infrastructure investments in the alternative energy sector will likely be accompanied by demand for data-driven services that can optimize efficiency of the related operational costs. read more
Because companies are tracking their inputs and byproducts carefully, there has been an exponential increase in the amout of efficiency/environmental data available for primary stakeholders and investors. read more
A potential new partnership between U.S. agencies and the Indian Meteorological Department could could open up an "ensemble approach" to forecasting that encourages collaboration and breaks down proprietary barriers. read more
Many satellites capture everything from ocean temperatures, to land reflectance at the surface of the Earth, to global chlorophyll production. Here's a look at how that data can reveal the condition of a country's crops. read more
A forecast -- weather or otherwise -- is always a blend of art and science. Nothing is foolproof. But in this post, Michael Ferrari shows how simple analysis can reveal a connection between a weather event (La Niña) and commodity production (milk). read more
Identifying extreme weather patterns can minimize impact when that weather arrives. But to improve long-range forecasts, we'll need to create environmental sensor networks out of phones, satellites and other technology. read more