연구성과
더 나은 예측을 향한 연구의 결실
수치예보의 발전을 위해 쌓아 온 KIAPS의 연구성과를 소개합니다.
논문부터 기술과 소프트웨어까지, 더 정확한 예측을 위한 지식과
경험을 나눕니다.
총 66건
- Observation impact explanation in atmospheric state estimation using hierarchical message-passing graph neural networks Link
- Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks Link
- Improving weather forecast skill of the Korean Integrated Model by assimilating Soil Moisture Active Passive soil moisture anomalies Link
- Self-Clustered GAN for Precipitation Nowcasting Link
- Near‑global summer circulation response to the spring surface temperature anomaly in Tibetan Plateau -- the GEWEX/LS4P first phase experiment Link
- Subgrid-Scale Topographic Effects on Radiation for Global Weather Forecast Models Link
- Predicting the daily number of patients for allergic diseases using PM10 concentration based on spatiotemporal graph convolutional networks Link
- The Predictability of a Heavy Rainfall Event during the Summer of 2022 Using an All-sky Radiance Assimilation Experiment Link
- Quantification of dysnatremia using single-beam acoustic microbeam and convolutional neural networks Link
- Diagnosis of diabetes mellitus using high frequency ultrasound and conveolutional neural network Link
- Self-Supervised Pre-Training for Precipitation Post-Processor Link
- 이중 푸리에 급수 분광법 역학코어의 정확도와 계산 효율성 평가 Link
- 적응시간 간격 알고리즘을 이용한 KIM의 계산 효율성 개선 Link
- Cloudiness Parameterization for Use in Atmospheric Models: A Review and New Perspectives Link
- 수치모델링과 예보 Link