According to Moody's flood data at the 100-year return period:
Plug the gap in flood risk management
Flood is the most prevalent peril globally. Anywhere that it rains, it can flood. Moody's Global Flood Data can help to provide a better grasp of the risk in both modeled and unmodeled territories based upon the best available data, latest science, combined with advances in machine learning.
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Five Things You Probably Didn’t Know About Flood Risk (Par...
RMS® Global Flood Maps are already generating a wealth of insight. Over a series of two blogs, I will be highlighting five interesting points about flood risk – by combining the maps across multiple return periods with country population data from various censuses and river basin data. In this blog, we’ll focus on the first two points by looking at the global flood trends and the regions that are the most disproportionately affected by flooding. These regions often have significant and growing levels of expo...
Five Things You Probably Didn’t Know About Flood Risk (Par...
This second blog of the series delves further into new insights generated from the RMS® Global Flood Maps. We have combined the maps across multiple return periods with country population data from various censuses and river basin data. Read part one for global insights, read on for regional insights. Here are three thoughts on regions that are tackling flood risk and regions that are the most exposed, as we travel from Scandinavia to the Middle East and through to the banks of the Ganges. Let’s examine what...
JENOA Adopts RMS Global Flood Maps to Provide a View of F...
LONDON – 19 July, 2022 – Boutique digital broker JENOA Insurance & Risk Management (JENOA) has adopted Global Flood Maps from RMS®, a Moody’s Analytics company and world-leading risk modeling and solutions company, to provide an analytical view of flood risk in the Middle East and beyond. The recently launched RMS Global Flood Maps provide views of flood extent and coverage for every country in the world. The models have been developed using a machine learning approach that allows RMS to utilize its full ...
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