期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
知识发现在赤潮预测预警系统研究中的应用 被引量:5
1
作者 沈菲 王洪礼 +1 位作者 冯剑丰 孙景 《海洋技术》 北大核心 2003年第2期19-22,共4页
目前大多数赤潮的预测研究工作着重在系统模型的准确性上 ,忽视模型所能提供的对生态系统行为的相互关系的解释的很多信息。而机器学习所获得的知识能够帮助对生态行为之间的因果关系更深入的认识。文章将知识发现技术应用于海洋检测数... 目前大多数赤潮的预测研究工作着重在系统模型的准确性上 ,忽视模型所能提供的对生态系统行为的相互关系的解释的很多信息。而机器学习所获得的知识能够帮助对生态行为之间的因果关系更深入的认识。文章将知识发现技术应用于海洋检测数据之中 ,取得了较好的效果 ,这将对于赤潮预测预警系统的研究与建立起着关键的作用。 展开更多
关键词 赤潮预测预警系统 知识发现 生态系统 生态行为 海洋检测数据 机器学习
下载PDF
Implementing Marine XML for Observed CTD Data in a Marine Data Exchange Platform 被引量:1
2
作者 JIANG Yongguo FENG Yuan CHE Zhaodong ZHU Tieyi 《Journal of Ocean University of China》 SCIE CAS 2008年第4期393-396,共4页
In order to archive, quality control and disseminate a large variety of marine data in a marine data exchange platfonn, a marine XML has been developed to encapsulate marine data, which provides an efficient means to ... In order to archive, quality control and disseminate a large variety of marine data in a marine data exchange platfonn, a marine XML has been developed to encapsulate marine data, which provides an efficient means to store, transfer and display marine data. This paper first presents the details of the main marine XML elements and then gives an example showing how to transform CTD-observed data into Marine XML format, which illustrates the XML encapsulation process of marine observed data. 展开更多
关键词 marine data CTD marine XML marine data exchange
下载PDF
Effects of polarization calibration on aerosol optical depth retrieval: An ocean case sensitivity analysis 被引量:1
3
作者 LIU TianYue CHI TianHe CHEN Wei 《Science China Earth Sciences》 SCIE EI CAS CSCD 2015年第6期939-948,共10页
Reflectance measurements of both the visible and infrared bands of passive remote sensing sensors are widely used to retrieve aerosol optical depth(AOD) information. This is performed commonly for data obtained over b... Reflectance measurements of both the visible and infrared bands of passive remote sensing sensors are widely used to retrieve aerosol optical depth(AOD) information. This is performed commonly for data obtained over both ocean and land, and these measurements allow for the off line development of a lookup table using radiative transfer models. Owing to molecular and aerosol effects, the reflected light received by the sensor is usually highly polarized. The linear polarization effect may be up to 100%, and the polarization factor of a sensor optical system will change the total intensity as well as the polarization status of the signal reaching the detector. The detector response will be different when the incident light polarization status changes, even if the total intensity remains constant. However, if the polarization calibration is neglected, it will cause obvious errors in the aerosol data retrieval. This is especially true for aerosol optical depth retrieval over an ocean. This measurement relies directly on the reflectance output of the sensor. Cases involving land surfaces are not discussed herein because the inhomogeneous properties conceal the error due to polarization. Taking the 550 and 860 nm bands as examples, the difference between the real top-of-atmosphere(TOA) reflectance and the reflectance reaching the detector is calculated using three different sensor polarization standards according to the Sea-viewing Wide Field-of-view Sensor(Sea Wi FS) and Moderate Resolution Imaging Spectroradiometer(MODIS) standards. The differences in AOD retrieval are also demonstrated using the lookup table developed previously from a vector radiative transfer code. The results reveal that under a normal situation in which the AOD is 0.15, the maximum AOD retrieval error could reach 0.04 in 550 nm but only 0.02 in 860 nm for the dust aerosol model. For the soot aerosol model, the maximum AOD retrieval error is 0.1 in 550 nm and 0.12 in 860 nm, indicating that the lack of polarization calibration will lead to large errors in aerosol retrieval over an ocean. 展开更多
关键词 AEROSOL POLARIZATION CALIBRATION radiative transfer
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部