Satellite-Based Sunshine Duration for Europe

Kothe, Steffen; Good, Elizabeth; Obregón, André; Ahrens, Bodo; Nitsche, H.

doi:10.3390/rs5062943

Cited by 17 publications

(20 citation statements)

References 25 publications

(45 reference statements)

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“…The day length is restricted by a threshold of the solar elevation angle (SEA) of 2.5 • [9]. W i is a number between 0 and 1, which indicates the influence of a single slot depending on the number of surrounding cloudy and sunny grid points.…”

Section: Approachmentioning

confidence: 99%

“…Journée et al [6] derived sunshine duration maps for Belgium and Luxembourg from MFG global and direct solar radiation using the Ångström-Prescott equation [7,8]. In a study by Kothe et al [9] the method used by Good [4] was extended to Europe. Additionally, Kothe et al [9] derived sunshine duration from MSG-based solar surface incoming direct radiation by using the WMO threshold of 120 W/m 2 for bright sunshine [10].…”

Section: Introductionmentioning

confidence: 99%

“…Journée et al [6] applied their method to 11 years of MFG-based data, but only for Belgium and Luxembourg. Kothe et al [9] derived sunshine duration for the whole of Europe, but just for one year. Methods by Kandirmaz [3], Shamim et al [5] or Wu et al [11] additionally used station data from a limited region for training or regression.…”

Section: Introductionmentioning

confidence: 99%

“…In a study by Kothe et al [9] the method used by Good [4] was extended to Europe. Additionally, Kothe et al [9] derived sunshine duration from MSG-based solar surface incoming direct radiation by using the WMO threshold of 120 W/m 2 for bright sunshine [10]. Both approaches were tested for one year of MSG-based data.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, the retrieval technique by Kothe et al [9] will be applied in an advanced version for a time period of 33 years and for the whole Meteosat disk, including Europe, Africa and parts of South America. The daily and monthly sunshine duration data will be evaluated against station data to get an estimate of the accuracy and temporal stability.…”

Section: Introductionmentioning

confidence: 99%

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A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

et al. 2017

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Besides 2 m temperature and precipitation, sunshine duration is one of the most important and commonly used parameter in climatology, with measured time series of partly more than 100 years in length. EUMETSAT's Satellite Application Facility on Climate Monitoring (CM SAF) presents a climate data record for daily and monthly sunshine duration (SDU) for Europe and Africa. Basis for the advanced retrieval is a highly resolved satellite product of the direct solar radiation from measurements by Meteosat satellites 2 to 10. The data record covers the time period 1983 to 2015 with a spatial resolution of 0.05 • × 0.05 • . The comparison against ground-based data shows high agreement but also some regional differences. Sunshine duration is overestimated by the satellite-based data in many regions, compared to surface data. In West and Central Africa, low clouds seem to be the reason for a stronger overestimation of sunshine duration in this region (up to 20% for monthly sums). For most stations, the overestimation is low, with a bias below 7.5 h for monthly sums and below 0.4 h for daily sums. A high correlation of 0.91 for daily SDU and 0.96 for monthly SDU also proved the high agreement with station data. As SDU is based on a stable and homogeneous climate data record of more than 30 years length, it is highly suitable for climate applications, such as trend estimates.

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Section: Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

et al. 2017

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Spatial analysis of sunshine duration in complex terrain by non‐contemporaneous combination of station and satellite data

Frei

Willi

Stöckli

et al. 2015

Intl Journal of Climatology

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Climate monitoring and environmental modelling are in need of spatial datasets of sunshine duration or surface radiation. Their development is complicated by the coarse resolution of station measurements and the limited temporal extent and consistency of satellite retrievals. We present a method for spatial analysis that combines station and satellite data. Instead of merging contemporaneous measurements from both sources, our approach relies on statistical patterns distilled from satellite data over a limited time period. This permits application outside the satellite period and reduces inconsistencies across satellite generations. The non-contemporaneous merging builds on principal component analysis and kriging with external drift. Its strengths are in regions of complex orography. We develop the non-contemporaneous combination to derive km-scale analyses of relative sunshine duration (monthly and daily) for Switzerland . The monthly analysis has a mean absolute error of 3-5% (per cent relative sunshine duration), and it explains 60-80% of the spatial variance in individual months. Errors of the daily analysis are 7-10% with an explained spatial variance of about 60% but strongly varying from day to day. The integration of satellite data systematically improves the analysis compared to interpolation from station data alone. The improvement is largest in autumn and winter, particularly because of better representation of low-level stratus. The non-contemporaneous merging realizes more than half the accuracy gain from satellite data obtained with the more informative contemporaneous merging. Hence, our alternative involves only a moderate compromise for the return of making pre-satellite Campbell-Stokes measurements exploitable for long-term grid datasets.

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Sunshine duration in Poland from ground‐ and satellite‐based data

Matuszko

Bartoszek

Soroka

et al. 2020

Intl Journal of Climatology

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The aim of the study is to characterise the spatial variability of sunshine duration in Poland. The study used ground‐based and satellite‐based data from 1983 to 2018 multi‐annual period, from the territory of Poland. The ground‐based data include daily sums of sunshine duration from 29 Institute of Meteorology and Water Management—National Research Institute stations and two stations of the Jagiellonian University. Satellite‐based data from the product “SDU ‐ Sunshine Duration, v003” were used with a resolution of 0.05° × 0.05°, coming from the nearest pixel of a given meteorological station. These values were obtained from the SARAH‐2.1 database, published by The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). It was found that the mean annual sums of sunshine duration calculated on the basis of ground‐based data in Poland range from about 1,460–1,500 hr in the south and south‐west of the country (mountain areas) to 1,800–1,830 hr in the north—the region of the eastern Baltic coast. Satellite‐based data are in line with ground‐based data in relation to the dependence of sunshine duration on latitude, that is, the increase in sunshine duration from the south to the north in the summer and in the spring, and the decrease in the winter. In the autumn, the spatial variability based on satellite data is more latitudinal than in the case of ground‐based data. Moreover, in the autumn and winter, the sums of sunshine duration based on satellite data are overestimated and, in the summer, especially since the turn of the 20th and 21st century, they have been underestimated. The performed analysis has shown that there is some conformity of the results, but the accuracy of matching satellite‐based data and ground‐based data depends on the location of the station and is subject to fluctuations in the annual and multi‐annual cycle.

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Satellite-Based Sunshine Duration for Europe

Cited by 17 publications

References 25 publications

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

A Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa

Spatial analysis of sunshine duration in complex terrain by non‐contemporaneous combination of station and satellite data

Sunshine duration in Poland from ground‐ and satellite‐based data

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