• 제목/요약/키워드: GRACE FO

검색결과 3건 처리시간 0.075초

Reconstruction of Terrestrial Water Storage of GRACE/GFO Using Convolutional Neural Network and Climate Data

  • Jeon, Woohyu;Kim, Jae-Seung;Seo, Ki-Weon
    • 한국지구과학회지
    • /
    • 제42권4호
    • /
    • pp.445-458
    • /
    • 2021
  • Gravity Recovery and Climate Experiment (GRACE) gravimeter satellites observed the Earth gravity field with unprecedented accuracy since 2002. After the termination of GRACE mission, GRACE Follow-on (GFO) satellites successively observe global gravity field, but there is missing period between GRACE and GFO about one year. Many previous studies estimated terrestrial water storage (TWS) changes using hydrological models, vertical displacements from global navigation satellite system observations, altimetry, and satellite laser ranging for a continuity of GRACE and GFO data. Recently, in order to predict TWS changes, various machine learning methods are developed such as artificial neural network and multi-linear regression. Previous studies used hydrological and climate data simultaneously as input data of the learning process. Further, they excluded linear trends in input data and GRACE/GFO data because the trend components obtained from GRACE/GFO data were assumed to be the same for other periods. However, hydrological models include high uncertainties, and observational period of GRACE/GFO is not long enough to estimate reliable TWS trends. In this study, we used convolutional neural networks (CNN) method incorporating only climate data set (temperature, evaporation, and precipitation) to predict TWS variations in the missing period of GRACE/GFO. We also make CNN model learn the linear trend of GRACE/GFO data. In most river basins considered in this study, our CNN model successfully predicts seasonal and long-term variations of TWS change.

신경망 모델을 사용한 편대비행 저궤도위성 가속도계 데이터 예측 기법 (A Prediction Method on the Accelerometer Data of the Formation Flying Low Earth Orbit Satellites Using Neural Network)

  • 김민규;김정래
    • 대한원격탐사학회지
    • /
    • 제37권5_1호
    • /
    • pp.927-938
    • /
    • 2021
  • 편대 비행하는 저궤도위성에는 비슷한 크기의 비중력 섭동이 일정한 시간 차이를 두고 가해진다. 이러한 시간상관관계를 이용하면 한 개 위성의 가속도계에서 측정된 가속도 값으로 다른 편대비행 저궤도위성의 비중력가속도를 추정할 수 있다. 편대비행 저궤도위성인 GRACE 및 GRACE-FO 위성에서 한 개 위성의 가속도계 데이터를 사용할 수 없는 기간이 존재하는데, 앞서 기술된 시간 이식 기법이 JPL (Jet Propulsion Laboratory)에서 공식적으로 가속도계 데이터 복원 시 사용되고 있다. 본 논문에서는 기존의 시간 이식 기법의 가속도계 추정 정확도를 개선하기 위하여 신경망 (neural network; NN) 모델 기반 편대비행 저궤도위성 가속도계 데이터 추정 방법을 제안하였다. 시간 이식 기법은 위성의 위치 및 우주환경요소 등을 반영할 수 없지만, NN 모델은 이를 모델 입력으로 사용할 수 있으므로 예측 정확도를 높일 수 있다. 1개월간 NN 모델을 사용하여 가속도계 예측 시험을 수행하고 시간 이식 기법과 예측 정확도를 비교하였다. 그 결과 along-track 및 radial 방향에서 NN모델의 가속도계 데이터의 예측 오차는 시간 이식 기법에 비해 각각 55.0%, 40.1% 감소하였다.

Effects of replacing fish oil with palm oil in diets of Nile tilapia (Oreochromis niloticus) on muscle biochemical composition, enzyme activities, and mRNA expression of growth-related genes

  • Ayisi, Christian Larbi;Zhao, Jinliang;Yame, Chen;Apraku, Andrews;Debra, Grace
    • Fisheries and Aquatic Sciences
    • /
    • 제22권11호
    • /
    • pp.25.1-25.9
    • /
    • 2019
  • Background: Due to the continuous demand for fish coupled with decline in capture fisheries, there is the need to increase aquaculture production to meet the demand. Aquaculture is faced with high cost of feeding since fish oil and fish meal are expensive. In view of this, there are calls to explore alternatives that are cheap and reliable. Objectives: This study on Oreochromis niloticus was conducted to evaluate the effects of replacing fish oil (FO) with palm oil (PO) at 0%, 25%, 50%, 75%, and 100% on muscle fatty acid and proximate composition as well as growthrelated enzyme activities and mRNA expression. Methods: Oreochromis niloticus were fed five experimental diets (33% crude protein and 10% crude lipid) for 8 weeks. Feed had variation in fish oil and palm oil contents. After the 8 weeks feeding trial, five fish were sampled from each tank (15 from each treatment) and euthanized using an excess dose of tricaine methane sulfonate (MS-222 at 200 mg/L). Fatty acid and enzyme activities were analyzed using standard protocols. Also, RT-qPCR was used to quantify the expression levels of selected growth-related genes. Results: Fish fed 25% PO recorded the least muscle protein content and was significantly lower than the group fed 100% PO. Paired box protein 7 (Pax-7) enzyme activity was significantly higher in the group fed 50% PO compared to the groups fed 25% PO and 100% PO, while caplain-3 (Capn-3) was significantly lower in the group fed 0% PO compared to all other groups. There was a significant difference among treatments with respect to mRNA expression of Pax-7 and Capn-3. Group fed 25% PO had significantly lower mRNA expression of Pax-7, while the group fed 75% PO recorded significantly higher mRNA expression of Capn-3 compared to groups fed 0% PO, 25% PO, and 100% PO. Pearson's correlation analysis revealed that Igf-I and Igf-II mRNA expression have significant correlation with n-3 polyunsaturated fatty acids content in muscle. Conclusion: The results suggest muscle protein content could be modified if FO is replaced with PO. Also, mRNA expression of Pax-7 and Capn-3 is affected by replacing FO with PO.