The global land data assimilation system
The global land data assimilation system
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DOI：
10.1175/bams-85-3-381
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发表时间：
2004-03-01
影响因子：
8
通讯作者：
Toll, D
中科院分区：
文献类型：
--
作者：
Rodell, M;Houser, PR;Toll, D
开发了全球土地数据同化系统(GLDAS)。其目的是利用先进的陆地表面建模和数据同化技术，摄取卫星和地面观测数据产品，以产生陆地表面状态和通量的最佳场。GLDAS的独特之处在于，它是一个独立的陆地表面建模系统，可以驱动多个模型，集成大量基于观测的数据，以高分辨率(0.25度)在全球运行，并近乎实时(通常在目前的48小时内)产生结果。GLDAS也是创新建模和同化能力的试验台。基于植被的“平铺”方法被用来模拟亚网格尺度的变异性，以1公里的全球植被数据集为基础。土壤和高程参数基于高分辨率的全球数据集。强迫数据采用基于观测的降水和来自现有最佳全球耦合大气数据同化系统的向下辐射和输出场。GLDAS提供的高质量全球陆地表面场将用于初始化天气和气候预测模型，并将促进各种水文气象研究和应用。目前正在进行的GLDAS档案(始于2001年)，其中包括模拟和观测的全球地面气象数据、参数地图和输出，现已公开提供。
A Global Land Data Assimilation System (GLDAS) has been developed. Its purpose is to ingest satellite- and ground-based observational data products, using advanced land surface modeling and data assimilation techniques, in order to generate optimal fields of land surface states and fluxes. GLDAS is unique in that it is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25degrees), and produces results in near-real time (typically within 48 h of the present). GLDAS is also a test bed for innovative modeling and assimilation capabilities. A vegetation-based "tiling" approach is used to simulate subgrid-scale variability, with a 1-km global vegetation dataset as its basis. Soil and elevation parameters are based on high-resolution global datasets. Observation-based precipitation and downward radiation and output fields from the best available global coupled atmospheric data assimilation systems are employed as forcing data. The high-quality, global land surface fields provided by GLDAS will be used to initialize weather and climate prediction models and will promote various hydrometeorological studies and applications. The ongoing GLDAS archive (started in 2001) of modeled and observed, global, surface meteorological data, parameter maps, and output is publicly available.