Objectives

  Climate and climate application data not only have numerous file formats, but also require enormous time and resources to process. Researchers and policy makers need user-friendly file formats and data extraction services to conveniently utilize climate data. The average user tends to have difficulty dealing with climate data because a single climate data set includes time information, geological information, and various factor values. Due to these various factors, expertise in data extraction is required. Therefore, the APEC Climate Center (APCC) Climate Information & Application Team has developed the Climate Information Processing System (CLIPs), which enables the average user to conveniently extract the specific data necessary for their research.

Material

  1.49 million climate change scenarios, climate forecast MME data, climate change scenarios, NOAA Station observation data, and NASA satellite data all from 1960 to 2020, are collected and available on CLIPs. The collected data were formatted with NetCDF, GRIB, HDF, TXT, and various different formats relative to the characteristics of each dataset and institution.
  To provide standardized data, all the data are reformatted with NetCDF (widely used in climate research) and the numerous attributes and units of the data have been converted into standardized units. Additionally, the team has built the database with the extracted temperature, precipitation, wind data and global climate factors.
  In order to process large amounts of climate data, the system has two distinct functions, CLIST (CLImate data Standardization Toolkit) and CLIPs (CLimate Information Processing system) that collect and standardize data, then makes this data available to users. CLIST transforms various file formats into standardized file formats while CLIPs enables users to search for specific locations or values with the installed application on their PCs. Then the combination of these two systems conveys the search results to the users. Finally, for those users residing in those place that lack high speed Internet infrastructure, APCC has applied compression technology to CLIPs so that they can easily access this service.

Results

  APCC CLIPs provides functions that empower researchers that are unfamiliar with processing mass data, to effortlessly extract necessary data for specific regions including climate index and time-scale information. This service helps researchers reduce time spent on data processing and renders it unnecessary to budget for high-end hardware and software. This service is expected to be widely used in Korea as well as developing countries that lack appropriate IT infrastructures.