2020
DOI: 10.5194/essd-2020-231
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Merging ground-based sunshine duration with satellite cloud and aerosol data to produce high resolution long-term surface solar radiation over China

Abstract: Abstract. Although great progress has been made in estimating surface solar radiation (Rs) from meteorological observations, satellite retrieval and reanalysis, getting best estimated of long-term variations in Rs are sorely needed for climate studies. It has been shown that sunshine duration (SunDu)-derived Rs data can provide reliable long-term Rs variation. Here, we merge SunDu-derived Rs data with satellite-derived cloud fraction and aerosol optical depth (AOD) data to generate high spatial resolution (0.1… Show more

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Cited by 1 publication
(3 citation statements)
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“…Except for the instrument replacement from 1990 to 1993 [10][11][12], the consistent trend from the direct observations and SunDu-derived R s indicates that the merged R s data by combined HXG and SunDu-derived R s can produce a reasonable longterm R s variation in China. Our previous study also demonstrates that the impact of aerosols can be included in SunDu derived R s ; the disadvantages of using constant aerosol value in R s satellite retrievals can be overcome by merging SunDu derived R s [59], and the product of this study is merged high resolution surface solar radiation data over 1983 to 2017 while the time period of products of [59] is from 2000 to 2017 based on MODIS cloud retrievals. We also compare the merged products with the MODIS based merged products of [59], all these datasets show generally similar R s trend from 2000 to 2016 ( Figure S6).…”
Section: Discussionmentioning
confidence: 82%
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“…Except for the instrument replacement from 1990 to 1993 [10][11][12], the consistent trend from the direct observations and SunDu-derived R s indicates that the merged R s data by combined HXG and SunDu-derived R s can produce a reasonable longterm R s variation in China. Our previous study also demonstrates that the impact of aerosols can be included in SunDu derived R s ; the disadvantages of using constant aerosol value in R s satellite retrievals can be overcome by merging SunDu derived R s [59], and the product of this study is merged high resolution surface solar radiation data over 1983 to 2017 while the time period of products of [59] is from 2000 to 2017 based on MODIS cloud retrievals. We also compare the merged products with the MODIS based merged products of [59], all these datasets show generally similar R s trend from 2000 to 2016 ( Figure S6).…”
Section: Discussionmentioning
confidence: 82%
“…Our previous study also demonstrates that the impact of aerosols can be included in SunDu derived R s ; the disadvantages of using constant aerosol value in R s satellite retrievals can be overcome by merging SunDu derived R s [59], and the product of this study is merged high resolution surface solar radiation data over 1983 to 2017 while the time period of products of [59] is from 2000 to 2017 based on MODIS cloud retrievals. We also compare the merged products with the MODIS based merged products of [59], all these datasets show generally similar R s trend from 2000 to 2016 ( Figure S6). Slight differences exist which are closed with the relationship of input satellite data.…”
Section: Discussionmentioning
confidence: 82%
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