Surface solar irradiance from SCIAMACHY measurements: algorithm and validation

Wang, P.; Stammes, P.; Mueller, R.

doi:10.5194/amt-4-875-2011

Cited by 25 publications

(12 citation statements)

References 41 publications

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“…Net radiation (NR) flux, the primary energy source for land surface processes on the Earth, is the main driving force of atmospheric movement (Qin et al, 2015;Tang et al, 2016). Spatially and temporally continuous information of NR is essential for a better understanding of the surface energy balance (Hatzianastassiou et al, 2005;Wang et al, 2011). The Tibetan Plateau (TP), with an area of approximately 2.5 × 10 6 km 2 and an average elevation of more than 4,000 m, is known as the third pole of the world (Cong et al, 2007;Zhong et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Zhong

Zou

et al. 2019

JGR Atmospheres

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Downwelling shortwave radiation (DSWR) and downwelling longwave radiation (DLWR) are two important components of the Earth's surface radiation balance. In this study, the Heliosat method and the parameterization of Crawford and Duchon (1999, https://doi.org/10.1175/1520‐0450(1999)038<0474:AIPFEE>2.0.CO;2, hereafter CD99) were calibrated to make them suitable for estimation of DSWR and DLWR over the Tibetan Plateau (TP). Based on meteorological data, forcing data, and observations from polar‐orbiting satellites, the cloud albedo was calculated, and the clear‐sky index estimation scheme of the Heliosat method was improved. These improvements were then applied to derive 10‐day DSWR under all‐sky conditions over the TP by combining the clear‐sky shortwave radiation scheme with a clear‐sky index. The coefficient of the CD99 parameterization scheme clear‐sky DLWR was also calibrated, and 10‐day all‐sky DLWR was then determined and validated using ground‐based measurements. The spatiotemporal distributions of DSWR and DLWR were analyzed in detail. The results showed that the modified methods are efficient and applicable for downward radiation retrieval under all‐sky conditions over the TP with a reasonable accuracy. The mean percentage errors for DSWR and DLWR were −4.75% and 0.11%, respectively. The variation in the monthly DSWR (DLWR) showed a convex shape, with a maximum appearing in May (July). The spatial distributions of DLWR showed a southeast‐high and northwest‐low pattern. As the subsolar point moves northward, DSWR increases gradually and is clearly influenced by the Asian summer monsoon.

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Section: Introductionmentioning

confidence: 99%

Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Zhong

Zou

et al. 2019

JGR Atmospheres

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“…For all these purposes, temporally and spatially complete fields of surface solar radiation are desired, which can be derived by three categories of methods, namely, (i) by interpolation of ground‐based measurements [ Šúri et al ., ], (ii) by estimation from satellite observations [ Bishop et al ., ; Gupta et al ., ; Deneke et al ., ; Dürr and Zelenka , ; Müller et al ., ; Wang and Pinker , ; Wang et al ., ; Huang et al ., ] and (iii) by reanalyses with NWP or climate models [ Zib et al ., ]. Moreover, fields produced by different methods can be combined [ Journée and Bertrand , ].…”

Section: Introductionmentioning

confidence: 99%

Retrieval and validation of global, direct, and diffuse irradiance derived from SEVIRI satellite observations

2013

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[1] This paper discusses Surface Insolation under Clear and Cloudy skies derived from SEVIRI imagery (SICCS), a physics-based, empirically adjusted algorithm developed for estimation of surface solar irradiance from satellite data. Its most important input are a cloud mask product and cloud properties derived from Meteosat/Spinning Enhanced Visible and Infrared Imager (SEVIRI) observations. These observations set the characteristics of the output, namely, a temporal resolution of 15 min, a nadir spatial resolution of 3 Â 3 km 2 , the period from January 2004 until at least November 2012, and the domain equal to most of the Meteosat disc. SICCS computes global, direct, and diffuse irradiance separately. Direct irradiance for cloudy skies is estimated with an empirical method. Hourly means retrieved with SICCS were validated with data from eight Baseline Surface Radiation Network stations for the year 2006. We found median values of the station biases of +6 W/m 2 (+5%) for direct irradiance, +1 W/m 2 (+1%) for diffuse irradiance, and +7 W/m 2 (+2%) for global irradiance. Replacing the three-hourly aerosol optical thickness input by monthly means introduces considerable additional biases in the clear-sky direct (À6%) and diffuse (+26%) irradiances. The performance of SICCS does not degrade when snow covers the surface. Biases do not vary with cloud optical thickness and cloud particle radius. However, the bias in global transmissivity tends to decrease with increasing cloud heterogeneity, and the bias in direct transmissivity is a function of the solar zenith angle. We discuss why satellite retrieval of surface solar irradiance is relatively successful.Citation: Greuell W., J. F. Meirink, and P. Wang (2013), Retrieval and validation of global, direct, and diffuse irradiance derived from SEVIRI satellite observations,

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“…A brief description of the applied algorithm is given below following Wang et al (2011). The effect of the atmospheric variables ozone, aerosol, water vapour and clouds, and of the surface albedo is considered by radiative transfer calculations.…”

Section: Algorithm Overview -Solar Surface Irradiancementioning

confidence: 99%

CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data

et al. 2013

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Abstract. A new satellite-derived climate dataset – denoted CLARA-A1 ("The CM SAF cLoud, Albedo and RAdiation dataset from AVHRR data") – is described. The dataset covers the 28 yr period from 1982 until 2009 and consists of cloud, surface albedo, and radiation budget products derived from the AVHRR (Advanced Very High Resolution Radiometer) sensor carried by polar-orbiting operational meteorological satellites. Its content, anticipated accuracies, limitations, and potential applications are described. The dataset is produced by the EUMETSAT Climate Monitoring Satellite Application Facility (CM SAF) project. The dataset has its strengths in the long duration, its foundation upon a homogenized AVHRR radiance data record, and in some unique features, e.g. the availability of 28 yr of summer surface albedo and cloudiness parameters over the polar regions. Quality characteristics are also well investigated and particularly useful results can be found over the tropics, mid to high latitudes and over nearly all oceanic areas. Being the first CM SAF dataset of its kind, an intensive evaluation of the quality of the datasets was performed and major findings with regard to merits and shortcomings of the datasets are reported. However, the CM SAF's long-term commitment to perform two additional reprocessing events within the time frame 2013–2018 will allow proper handling of limitations as well as upgrading the dataset with new features (e.g. uncertainty estimates) and extension of the temporal coverage.

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Surface solar irradiance from SCIAMACHY measurements: algorithm and validation

Abstract: The evaluation results suggest that the SCIAMACHY SSI product achieves similar mean bias error and root mean square error as the surface solar irradiances derived from polar orbiting satellites with higher spatial resolution.

Cited by 25 publications

References 41 publications

Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Estimation of Downwelling Shortwave and Longwave Radiation in the Tibetan Plateau Under All‐Sky Conditions

Retrieval and validation of global, direct, and diffuse irradiance derived from SEVIRI satellite observations

CLARA-A1: a cloud, albedo, and radiation dataset from 28 yr of global AVHRR data

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