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Analysis of Ocean Wave Around Japan using JERS-1/SAR Data
Akiyama, Masatoshi,Zhao, Chao Fang,Sugimori, Yasuhiro 대한원격탐사학회 1995 International Symposium on Remote Sensing Vol.11 No.1
The JERS-1 synthetic aperture radar(SAR) images of the ocean surface are processed and validated with Japan Meteorological Agency(JMA) buoy stations' data in this study. In spite of the low transmission power making the low signal-to-noise ratio of JERS-11SAR data, the result how the possibility to detect ocean wave in high ocean state(Hs$gt;2m).The relation between the wave length derived from JERS-11SAR data and the significant wave period from JMA buoy is consistent with dispersion relation in deep sea.
CO_2_ EXCHANGE COEFFICIENT IN THE WORLD OCEAN USING SATELLITE DATA
Osawa, Takahiro,Masatoshi, Akiyama,Jun, Suwa,Sugimori, Yasuhiro,Chen, Rui 대한원격탐사학회 1998 International Symposium on Remote Sensing Vol.14 No.1
CO2 transfer velocity is one of the key parameters for CO2 flux estimation at air - sea interface. However, current studies show that significant inconsistency still exists in its estimation when using different models and remotely sensed data sets, which acts as one of the main uncertainties involved in the computation of CO2 exchange coefficient between air - sea interface. In this study, wind data collected from SSM/I and scatterometer onboard ERS-1, in conjunction with operational NOAA/AVHRR, are applied to different models for calculating CO2 exchange coefficient in the world ocean. Their interrelationship and discrepancies inherent with different models and satellite data are analyzed. Finally, the seasonal and inter-annual variation of CO2 exchanges coefficient for different ocean basins are presented and discussed.
Estimation of Seasonal Partial Pressure CO2 in NW Pacific Ocean by Ship and Satellite Data
Chen, Rui,Akiyama, Masatoshi,Sugimori, Yasuhiro 대한원격탐사학회 1997 International Symposium on Remote Sensing Vol.13 No.1
Determination of seasonal and high resolution partial pressure CO₂(pCO₂) in surface seawater is one of the most challenging problems to estimate CO₂ flux between air-sea interface. A new empirical relation between pCO₂ and different physical and geochemical parameters in surface ocean has been established from recent WOCE cruises and tested in Northwest Pacific Ocean(100-150。E, 0-50。N). Compared with previous field investigations, they show a good agreement in tropical ocean and subtropical gyres throughout the year, as well as the temperate waters in the summer season. The mean value of pCO₂ is well simulated using Levitus data, and its temporal and spatial variation are found to be dominantly controlled by sea surface temperature, which implys a combination of operational A VHRR dataset may produce high resolution of pCO₂ and its seasonal variations in the study area In winter season when intense up welling occurs in the subarctic regions a systematic underestimate of about 74uatm is found for the proposed parameterization method, mainly attributed to the deep water rich in nutrients and tCO₂ accumulated through biological bump. Correcting fir this bias, the calculated pCO₂ coincides well with the historical investigations. Further effort is needed for modelling in areas where upwelling is active in winter season, especially linked with remotely sensed data, e.g. CZCS data and newly collected data stream from OCTS and Sea WiFS.
Osawa, Takahiro,Akiyama, Masatoshi,Sugimori, Yasuhiro 대한원격탐사학회 1999 International Symposium on Remote Sensing Vol.15 No.1
As one of the key parameters to determine CO₂ flux between air - sea interface, it is quite important to know pCO₂, which has involved much uncertainty, mainly due to the complex variations of sea surface pCO₂and the paucity of samples, made in ocean. In order to improve the interrelationship between partial pressure (pCO₂) and different physical and biochemical parameters in global sea surface water, a new empirical relation is established to correlate and parameterize pCO₂ in the mixed layer using the data from recent WOCE cruises. Meanwhile, by new empirical relation, abundant historical hydrographic and nutrients ship data, Levitus data set and NOAA/AVHRR(SST), pCO₂have been accumulated and applied. Then effort has to be made for promotion of this study to correlate and parameterize pCO₂in the mixed Layer with different physical and biochemical parameters, and further attribute this huge historical data sets and NOAA/AVHRR(SST) data to estimate pCO₂. In this paper we analyzed more interrelationship between the model and ship/satellite data set. Finally, the inter-annual variations of pCO₂ in sea are presented and discussed.