子流域的降水与气象资料通过数据同化技术得到。
The precipitation and meteorological data of each sub-catchment are gained by the technology of data assimilating.
陆面数据同化是一种集成多源地理空间数据的新思路。
Land data assimilation is a new means for multi-source geospatial data integration.
数据同化方法在大气、海洋和陆面模式中得到了成功的应用。
Data assimilation has been successfully applied in atmospheric, oceanic, and land surface models.
利用外部数据同化作物生长模型提高区域作物单产模拟精度是近年来的研究热点。
Assimilating external data into crop growth model to improve accuracy of crop growth monitoring and yield estimation is a research hotspot in recent years.
总结了当前国内外基于遥感信息监测土壤水分的原理和方法，特别是对数据同化法进行了着重阐述。
The principle and methods of monitoring the soil moisture based on remote sensing information are reviewed. Especially much attention was paid on the data assimilation method.
文中为了说明数据同化的优越性，利用WOA数据与其进行比较，体现了同化数据对真实场描述的可靠性。
Of course, in order to introduce the superiority than other methods, the WOA data is compared with assimilation data, at last the assimilation data is tested credibility.
以一维水温模型为例，利用伴随算子法进行海洋观测数据同化，以便给水温的数值预报提供一个较准确的初始场。
To carry out the data assimilation of sea temperature observations the adjoint method is applied, which can provide an accurate initial temperature field for numerical prediction.
水文和水文气象数据的实时变分同化进入业务水文预报。
Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting.
化学是一门实验性的科学，积累了大量的文献和数据，这些文献和数据对化学及同化学有关研究领域有巨大的参考、应用价值。
Chemistry is an experimental science and has cumulated many documents and data which have great reference and application value for chemistry and related areas.
推进获取元数据的标准趋同化。
从目前的应用上看，智慧城市实现了数据的集中化、协同化、高渗透。
From the current application point of view, the wisdom of the city to achieve a centralized data, collaborative, high permeability.
通过统计方法利用一套海洋同化数据分析了热带太平洋次表层的盐度变化特征。
The salinity variability on the interannual time-scale is analyzed using SODA data by EOF statistical method.
南海海洋科学数据库数据资源包括多学科海洋观测数据，遥感数据，海洋模型模拟数据，同化数据以及各类数据产品。
The South China Sea ocean Database (SCSODB) collects and integrates multi-disciplinary ocean observational data, remote sensing data, model simulation data, assimilation data and various products.
南海海洋科学数据库数据资源包括多学科海洋观测数据，遥感数据，海洋模型模拟数据，同化数据以及各类数据产品。
The South China Sea ocean Database (SCSODB) collects and integrates multi-disciplinary ocean observational data, remote sensing data, model simulation data, assimilation data and various products.
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