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Authoritative Sources
The National Oceanic and Atmospheric Administration (NOAA) is a scientific agency that enriches life by providing critical information on the environment, from the sun’s surface to the ocean’s depths. NOAA plays a vital role in offering daily weather forecasts, severe storm warnings, and climate monitoring, which support economic vitality and public safety. Through cutting-edge research and advanced technology, NOAA empowers decision-makers with reliable data for environmental and resource management. Beyond national borders, NOAA collaborates internationally on weather, climate, and ocean policy to help protect natural resources and human life globally.
NASA’s Earth Science Division is dedicated to advancing the understanding of our planet’s complex systems. Through its fleet of satellites, airborne missions, and ground-based research, NASA monitors Earth's atmosphere, land, oceans, and ice, providing critical data on climate change, natural disasters, and environmental shifts. The division works to improve weather forecasting, study long-term climate patterns, and develop tools to address environmental challenges. NASA’s Earth sciences efforts not only benefit scientific discovery but also support policymakers, emergency responders, and the global community in making informed decisions to protect the planet's resources and human life.
Artificial
Intelligence
Large Language Models
Large language models (LLMs) can take in raw data, like numbers, symbols, or other information, and turn it into human-readable text. This works because the model has been trained on many different types of data, so it knows how to turn complex information into sentences that make sense.
For example, if you give the model weather data, it can generate a readable weather report by using patterns it has learned from other similar reports. The model looks at the raw data, finds the most relevant pieces, and then turns that into text that people can easily understand.
Text-To-Speech
Human-sounding voices generated by AI are created using a technology called "text-to-speech" (TTS) systems, often powered by AI models. These systems take written text and turn it into spoken words. To sound natural, the AI is trained on recordings of real human voices, learning how people pronounce words, use intonation, and pause in conversation. The more data it has—like different voices, accents, and speech patterns—the more realistic the AI voice sounds. Advanced models can adjust the tone, speed, and emotion in the voice to make it sound like an actual person talking, rather than a robot.