Technologies
AMS have extensive expertise in design and engineering, operational and applied meteorology, AI, Big Data, atmospheric modelling, data handling, web development, customer service, and business development functions.
Technologies
What We Do
Using big data, local authorities can better anticipate problems caused by weather before they occur.
For example, planners can make preparations to evacuate low-lying areas that are likely to be flooded. It’s also possible to make plans to upgrade existing
Improved weather now casts and forecasts need new approaches to take full advantage of all traditional and novel observations.
These approaches must allow more sources of observations to be fused and blended for now casting applications and ingested by increasingly accurate (and more computationally demanding) DA and forecast systems, and they must process and disseminate data within an ever-shrinking time window. Although significant challenges remain to the broad implementation and acceptance of ML approaches, steps we must take to mitigate these challenges are becoming clearer: Large and representative training data sets and ensembles of ML models will ensure that ML.
Data should reach direct end users/ citizens through IVRS calls, Bulk mass communication system, Social Media and Internet support. Then only information may useful for public/General Citizens.
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