After presentation of the first GOCE gravity field model based on 71 days of data at the ESA Living Planet Symposium in June 2010 ([11], [12]), an improved optimum high-resolution global gravity field model based on data from November 2009 to July 2010, resolved up to degree/order 250, has been derived from the precise GOCE orbit and satellite gravity gradiometry data applying the time-wise method. Realistic stochastic models for both the orbit and gradiometer observations have been included. Thus, the coefficient error information, provided as full variancecovariance matrix, reflects realistically the true error behaviour of the solution. The resulting GOCE model is assessed and validated against external gravity field models and GPS/levelling data. One of the key features of the time-wise method is that it is independent of any gravity field prior information, and thus the resulting gravity field models reflect the pure performance achievable by GOCE.
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机译：在2010年6月（[11]，[12]的ESA Living Planet研讨会上基于71天的数据的基于71天的数据进行了71天的数据，这是基于2009年11月的数据的改进的最佳高分辨率全球重力场模型 返回2010年7月，解决了学位/订单250，这是施用时间明智方法的精确探测器轨道和卫星重力思路的数据。 已经包括轨道和成绩表观测的现实随机模型。 因此，作为完整的Variancovariance矩阵提供的系数错误信息反映了解决方案的真实错误行为。 通过基于外部重力场模型和GPS /升级数据进行评估和验证所得到的衰减模型。 时间明智方法的一个关键特征是它与任何重力场的先前信息无关，因此得到的重力场模型反映了衰竭可实现的纯性能。
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