B. Sie verringern den Bedarf an Satellitendaten in Modellsimulationen.

Sat, 18 Apr 2026 06:02:33 +0000

Less Reliance on Satellite Data in Model Simulations: Innovations Reduce Dependency through AI and Hybrid Approaches Byline: Sustainability & Tech Insights Published: October 2023 In recent years, simulations of complex geophysical and environmental processes—such as climate modeling, hydrology, and atmospheric forecasting—have traditionally relied heavily on satellite data. While satellites provide invaluable global observations, their integration into model simulations often presents challenges: high data costs, latency, spatial-temporal resolution mismatches, and data processing bottlenecks. As technology advances, a growing number of researchers and developers are successfully verringern den Bedarf an Satellitendaten in Modellsimulationen through innovative approaches. This shift is transforming the accuracy, scalability, and sustainability of predictive modeling. ### Why Satellite Data Has Been Crucial—and Where Limitations Lie