Satellite-based sunshine duration for Europe

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Abstract

In this study, two different methods were applied to derive daily and monthly sunshine duration based on high-resolution satellite products provided by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring using data from Meteosat Second Generation (MSG) SEVIRI (Spinning Enhanced Visible and Infrared Imager). The satellite products were either hourly cloud type or hourly surface incoming direct radiation. The satellite sunshine duration estimates were not found to be significantly different using the native 15-minute temporal resolution of SEVIRI. The satellite-based sunshine duration products give additional spatial information over the European continent compared with equivalent in situ-based products. An evaluation of the satellite sunshine duration by product intercomparison and against station measurements was carried out to determine their accuracy. The satellite data were found to be within ±1 h/day compared to high-quality Baseline Surface Radiation Network or surface synoptic observations (SYNOP) station measurements. The satellite-based products differ more over the oceans than over land, mainly because of the treatment of fractional clouds in the cloud type-based sunshine duration product. This paper presents the methods used to derive the satellite sunshine duration products and the performance of the different retrievals. The main benefits and disadvantages compared to station-based products are also discussed. © 2013 by the authors.

Figures

  • Table 1. Solar elevation angle thresholds (degrees) for cloud classes 15, 16, and 17 for each month of 2008. In brackets are the associated explained variances for the linear regression between SIDNorm and the corresponding solar elevation angle.
  • Table 2. Mean, standard deviation, and mean difference relative to the 120 W/m 2 SD product, for the SD-SID product with three different thresholds. The results correspond to monthly totals from 2008.
  • Table 3. Mean, standard deviation, and mean difference relative to the other temporal resolution, for the SD-CTY and SD-SID products with 15-minute and 1-hourly bases. The results are calculated for monthly totals from March 2009 for SD-CTY, and August 2007 for SD-SID over the whole domain.
  • Figure 2. Comparison of frequency distributions for 15-min data and 1-hourly data.
  • Figure 3. SD-CTY (left) and SD-SID (right) for January 2008 (top row), April (second row), July (third row) and October (bottom row).
  • Figure 4. SD-CTY minus SD-SID differences for January (a), April (b), July (c), and October (d) for the year 2008. The panels show relative differences (in percent) in reference to SD-SID.
  • Figure 5. Comparison of daily SD data for SD-CTY and SD-SID with station data for Cabauw (year 2008). The grey circles in the Taylor diagram indicate the root mean square difference.
  • Table 4. Comparison of daily SD data for SD-CTY, SD-SID, and station data. Shown are the Pearson’s correlation (cor), the mean difference satellite product minus station (md), and the ratio of the satellite product to station standard deviations (sdr). To estimate the influence of the annual cycle on cor, the ratio of the explained variances for a sine curve and for the satellite product are given in brackets (for details see Section 4.2).

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CITATION STYLE

APA

Kothe, S., Good, E., Obregón, A., Ahrens, B., & Nitsche, H. (2013). Satellite-based sunshine duration for Europe. Remote Sensing, 5(6), 2943–2972. https://doi.org/10.3390/rs5062943

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