How is onboard memory utilized in a RAWS data logger?

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Onboard memory in a RAWS (Remote Automated Weather Station) data logger plays a crucial role in data management by temporarily storing data before it is transmitted or retrieved. This temporary storage allows the system to collect and buffer data during intervals when it may not be able to transmit results immediately, such as when communication systems are down or when the logger is operating in remote areas without a consistent connection.

By using onboard memory in this manner, the logger ensures that all collected data is not lost and can be sent out once the system is ready for communication. This function is vital for maintaining data integrity and ensuring that the logged weather information is accurately captured and later transmitted to analysis systems or databases.

In contrast, the other options do not accurately reflect the primary use of onboard memory in this context. While onboard memory can contribute to certain aspects like software updates or tracking battery usage, its primary utility in this scenario is as a temporary storage solution, reinforcing the importance of data continuity in autonomous weather monitoring systems.

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