Harnessing Climate Change Data to Empower Various Industries

At O.M Offshore Monitoring Ltd (OSM), we understand that one of the biggest challenges today is the overwhelming amount of available data and the complexity of effectively utilizing it. Data from conditions such as tropical cyclones, storms, hurricanes, temperatures, icebergs, eddies, barometric pressure, and more can be overwhelming.

Major Challenges of Current Climate Data

In terms of geophysical parameters of the atmosphere and ocean, in-situ observations are generally considered the most accurate, followed by various types of remote sensing parameters. However, these are all observations and do not by themselves provide insights into future expectations.

Climate Forecasts and Projections for the Future

Today, weather forecasts can predict weather up to 21 days in advance, while seasonal forecasts take into account current atmospheric and oceanic conditions to predict short-term climate variability up to six months ahead. Climatology is derived from the average atmospheric and oceanic conditions of the past, providing a probabilistic estimate of expected conditions each month for the coming year. Finally, climate projections are developed based on complex mathematical models that estimate long-term climate changes for the upcoming years and decades, giving the probability of certain changes compared to current climatology.

Our Solution

Interpreting and understanding these various datasets available in the Climate Data Store (C3S) is a challenge we aim to address through the C3S National Collaboration Program call for action. An example application we developed at OSM for the European Centre of Medium Weather Forecast (ECMWF) is the C3S for the Global Shipping Project. The graphics show the relationship between the data available in CDS, the ocean indicators generated from that data, the maps produced from the indicators, and the final shipping needs met by the map service.

Our Way Forward

Using CDS data, whether in its raw or original form or combined to form new indicators, it becomes possible to produce global and regional probabilistic maps detailing the chances of encountering certain atmospheric and oceanic conditions. With several maps spread over time, the evolution of those probabilities can be visualized. As a result, shipping companies will be able to use these maps to make better-informed decisions on how to exactly utilize their fleet resources and to what extent they need compensation for their service costs.

At OSM, our mission is to make climate data more accessible and useful for all industries, helping to mitigate risks and make more informed and strategic decisions. We position ourselves as specialists in the management and visualization of climate data, providing innovative solutions that enhance efficiency and sustainability. Contact us for more information, potential collaborations, or partnerships for the future.