Economics & Finance - Climate Intelligence

• As a bank insuring farmers on a large scale wouldn't you want to know if a climate shift will drastically reduce production and cause greatly diminished revenues that will ultimately cost your firm potentially millions of dollars?
• Would you want to know what effect this event would have on energy, food, and other interdependent resources along with their supplies, sustainability, and pricing?

Regional to global scale climate change is a natural inevitability not wise to ignore; it has wide-ranging implications for national and global security interests and will destabilize critical infrastructure and human behavior and attitude. However, local, regional, national, and corporate officials preparing for monotonic climate change are inviting potential disastrous and expensive failures for devised plans that utilize 'one-way street' forecasts by not accounting for an opposite shift. Those predicting and preparing for monotonic changes could result in non-survivable pressure. However, those prepared for unaccounted opposite results will lead.

A plan intended for continued advancement of their society owing to climate shifts must consider warming, cooling, and somewhat stable climates. Many ideas specific for monotonic climate trends will overlap and require slight modifications if properly thought out, considered and addressed. But those who planned for rapid adaption with this issue likely will need quick execution and can become the global leaders of resources and information.

The indirect results of climate-driven effects can indirectly affect broad-ranging security interests regionally, nationally, and globally. Forecasting drought mitigation processes, economic effects, food production and other aspects and coupling those issues with economic and financial analysis will ensure sustainability.

TINMORE INSTITUTE can forecast climate change on a regional or continental basis with over 80 percent accuracy out to 7 years. Our proprietary technological tools and modeling processes allow us to do what others have never achieved. The following graph used only data up through 2000 - remaining years were forecast with extraordinary accuracy. And, this was an average model. TINMORE INSTITUTE can provide you with the climate intelligence you need to make better, more informed management and economic decisions.

Figure: Coefficient of determination for cross-correlation (lag) intervals (upper pane) and observed and modeled temperatures versus year (lower two panes).