Research on Meteorological Data Storage Technology Based on NetCDF

With the rapid development of sensor technology and Internet technology, the amount of data collected in meteorological and scientific fields has soared. The data stored in NetCDF format is faced with the challenges of being damaged, difficult to recover, and frequent calls to disk resources. Although Hadoop distributed storage solutions have obvious advantages, HDFS based file system tools cannot be directly used for data processing due to their lack of support for the NetCDF format. Therefore, this article delves into the storage and write mechanism and block architecture of HDFS, and extends the read and write interface of NetCDF data to improve data portability, access efficiency, and sharing convenience, thereby providing strong support for scientific computing.