Increases in air and water temperature are expected to occur globally due to climate change, and weather conditions such as heat and cold waves are increasing. Therefore, studies have been actively conducted to improve the results of agricultural and fisheries productivity and to model and predict biological distributions using short and long-term weather forecast data. However, it is not easy to carry out such research because of a lack of understanding of the characteristics and types of original or tailored climatic data and difficulties in data collection and processing according to its intended use. In this study, we collected literature that used climate prediction data for agricultural and ecological research and analyzed the usage, characteristics, and trends of climate data needed for each sector to create guidelines for the climate forecast data accumulated by and available from the APEC Climate Center. From the agricultural sector, 306 scientific studies were qualitatively analyzed for their use of climate and crop models and data processing methods used to predict crop yields. From the ecological sector, 1,160 documents were qualitatively analyzed for patterns regarding the use of marine ecology, aquaculture, and forest use data. To broaden the availability of climate data, it may be necessary to select specific climate datasets that have the best prediction power for specific regions, a low uncertainty, and are highly correlated with the survival of living organisms.

1. INTRODUCTION

2. DATA AND METHODOLOGY

2.1 검색 키워드 선정 3 2.2 문헌 수집 및 분석

3. RESEARCH RESULTS

3.1 기후자료 상세화 기법

3.1.1 기후자료 상세화 관련 순차적 의사결정

3.1.2 농업분야 상세화 기법 문헌 조사

3.2 농업 분야 기후자료 활용

3.3 생태 분야 기후자료 활용

4. CONCLUDING REMARKS

REFERENCES

Appendix