Monarch provides Hyper-Local Climate + Weather Intelligence solutions via custom, project-based packages and subscriptions.
A large satellite provider needed a custom Global Flood Model for tactical positioning of satellites to forecast where flooding might occur. Click HERE to read more.
Winemakers on both coasts of the United States expressed the need to know when frost could damage their grapes. Click HERE to read more.
A billion-dollar state pension fund wanted to know if any of their properties were susceptible to growing physical climate risks (flooding, extreme temperatures, hurricanes, severe weather, sea-level rise, etc.). Click HERE to read more.
The Energy and Agriculture Divisions of the Virginia Tech Endowment Commodity Fund (COINS) was in need of weather modeling to better assist in trading and speculation. Crop-specific reports were developed and delivered via PDF reports to start, then into API delivery for input into the commodity trader’s in-house infrastructure/dashboard. Click HERE to read more.
A 400-acre farmer wanted to know how to leverage daily weather forecasts and season outlooks to increase crop yields. Click HERE to read more.
A large hotel chain needed to understand the pending and observed threats from Hurricane Dorian across Florida locations. Click HERE to read more.
A 911 call from a person in need passing out in a high-rise building. The question is, how to find them? Click HERE to read more.
A large national trucking company was looking for an interactive weather dashboard for use by dispatchers to help route their fleet around adverse weather and prevent supply chain disruption. Click HERE to read more.
Monarch's staff of world-class Certified Consulting Meteorologists (CCM) and data scientists are uniquely suited to strategize and provide custom meteorological and climate services to help mitigate risk and reap the rewards of accurate data and insights.
Monarch partners with strategic partners to augment our existing expertise to deliver the best recommendations for our clients.