Metadata-Version: 2.1
Name: MetDL
Version: 2.2.1
Summary: Extended library to read Meteorological data for AI Study
Home-page: https://github.com/ait-nims/MetDL
Author: Lee Heewoong
Author-email: lhw@satreci.com
License: MIT
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: certifi (>=2021.5.30)
Requires-Dist: cftime (>=1.5.0)
Requires-Dist: netCDF4 (>=1.5.4)
Requires-Dist: numpy (>=1.9.0)
Requires-Dist: scipy (>=1.5.2)
Requires-Dist: Pillow (>=8.3.1)
Requires-Dist: PyYAML (==5.4.1)
Requires-Dist: torch (>=1.7.1)
Requires-Dist: torchvision (>=0.8.2)
Requires-Dist: typing-extensions
Requires-Dist: h5df (>=0.1.5)
Requires-Dist: h5py (>=2.10.0)
Requires-Dist: pandas (>=1.3.1)
Requires-Dist: openpyxl (>=3.0.9)

# MetDL 
MetDL 라이브러리는 **AI 예보지원 및 활용기술 개발 2022** (국립기상과학원) 과제의 일환으로 개발되었습니다.
AI 연구를 위한 기상 데이터 입력 편의성을 위해 고안된 파이썬 라이브러리입니다.

본 라이브러리에서 읽을 수 있는 자료는 다음과 같습니다.

- ASOS
- AWS
- KIM 모델
- UM 모델
- ECMWF모델
- 천리안2호(GK2A) L1B
- Himawari Cloud L1B
- Radar

*입력자료 설정파일은 conf/ 디렉토리를 참조
자세한 사용 방법은 PDF 파일을 참조하시기 바랍니다.

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The MetDL library was developed as part of **the Development Intelligent Assistant Techniques and its Application for Weather Forcasting Process in 2022** by the National Institute of Meteorological Sciences.

It was a python library that designed to enhance the convenience of accessing meteorological data for AI research.

The library can read the following data:

- ASOS (Automated Surface Observing System)
- AWS (Automatic Weather Station) data
- KIM model data
- UM model data
- ECMWF model data
- GK2A L1B data
- Himawari Cloud L1B data
- Radar data
*Configuration files for input data can be found in the conf/ directory.

For detailed usage instructions, please refer to the PDF file.