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A comparison of data sources for creating a long-term time series of daily gridded solar radiation for Europe

机译:比较数据源以创建欧洲日网格太阳辐射的长期时间序列

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摘要

Satellite-derived surface solar radiation estimates are an alternative to the solar radiation measured at weather stations or modelled from other measured meteorological variables. The advantage of satellite-derived solar radiation is its high spatial and temporal resolution in comparison with solar radiation derived from weather stations, which has to be spatially interpolated. Solar radiation estimates at approximately 3-5 km resolution derived from geostationary Meteosat satellites are available for Europe through the EUMETSAT Satellite Application Facilities (SAFs). The SAF responsible for land monitoring (LSA-SAF) has been providing daily solar radiation estimates in near real-time since 2005. The SAF on climate monitoring (CM-SAF) provided a 23-year long (1983-2005) consistent data-set of daily solar radiation. In this study we examine if these two solar radiation datasets may effectively be merged to generate a long-term gridded solar radiation time series for Europe. Further, we evaluate whether the ERA-Interim reanalysis or interpolated measured solar radiation (JRC-MARS) can be used as a replacement for existing and possible future data gaps in the satellite-based dataset. We show that the root mean square error and mean absolute error of LSA-SAF's and the CM-SAF's solar radiation estimates are similar (p < 0.05), calculated against measured solar radiation data. A grid-based comparison of LSA-SAF's and CM-SAF's datasets showed an average root mean square difference over Europe of 2 MJ m~2 and a mean difference of 0.37 MJ m~(-2). For replacing data gaps in satellite-based radiation, we recommend the use of the ERA-Interim reanalysis data; they correspond better to both the ground reference and satellite-derived solar radiation data as compared to interpolated JRC-MARS. We conclude that both satellite-based products can be concatenated to create long-term gridded time series of solar radiation for Europe.
机译:卫星派生的地面太阳辐射估计值是在气象站测得的太阳辐射或根据其他测得的气象变量建模的替代方法。与来自气象站的太阳辐射相比,人造卫星的太阳辐射的优势在于其较高的空间和时间分辨率,后者必须在空间上进行插值。来自地球静止气象卫星的太阳辐射分辨率估计约为3-5公里,可通过EUMETSAT卫星应用设施(SAF)向欧洲提供。自2005年以来,负责土地监测的SAF(LSA-SAF)一直提供近日的每日太阳辐射估算。气候监测SAF(CM-SAF)提供了长达23年(1983-2005年)的一致数据,每天的太阳辐射一套。在这项研究中,我们研究了这两个太阳辐射数据集是否可以有效地合并以生成欧洲的长期网格化太阳辐射时间序列。此外,我们评估是否可以使用ERA-临时重新分析或内插的实测太阳辐射(JRC-MARS)替代基于卫星的数据集中现有的和可能的未来数据缺口。我们显示,根据测量的太阳辐射数据计算得出,LSA-SAF和CM-SAF的太阳辐射估计值的均方根误差和平均绝对误差相似(p <0.05)。基于网格的LSA-SAF和CM-SAF数据集比较显示,欧洲的平均均方根差为2 MJ m〜2,平均差为0.37 MJ m〜(-2)。为了弥补卫星辐射中的数据缺口,我们建议使用ERA-Interim重新分析数据。与插值JRC-MARS相比,它们更适合地面参考和卫星衍生的太阳辐射数据。我们得出的结论是,可以将这两种基于卫星的产品组合在一起,以创建欧洲太阳辐射的长期网格化时间序列。

著录项

  • 来源
    《Solar Energy》 |2014年第1期|152-171|共20页
  • 作者单位

    Federal Office of Meteorology and Climatology MeteoSwiss, Climate Services, KraEhbuEhlstrasse 58, 8044 ZuErich, Switzerland;

    Department of Natural Resources, Faculty of Geo-Informalion Science and Earth Observation (ITC), University of Twente, P. O. Box 217,7500 AE Enschede, The Netherlands;

    Department of Natural Resources, Faculty of Geo-Informalion Science and Earth Observation (ITC), University of Twente, P. O. Box 217,7500 AE Enschede, The Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Remote sensing; Meteosat; SEVIRI; Inter-comparison; Solar radiation; ERA-Interim;

    机译:遥感;气象卫星SEVIRI;相互比较;太阳辐射;临时过渡;

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