Klas-Göran Karlsson

Karlsson, Klas-Göran

doi:10.14220/9783737008914.43

Cited by 5 publications

(5 citation statements)

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“…A third reference dataset is based on MODIS data (Platnick et al, 2015), and a fourth is on combined geostationary and polar data (ISCCP-HGM, Young et al, 2018). The with each other than previous inter-comparison studies have shown (Stubenrauch et al, 2013, andKarlsson andDevasthale, 2018). For more details and better visibility of all results in Fig.…”

Section: Product Examples and Validation Resultsmentioning

confidence: 92%

CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

Karlsson

Finkensieper

Meirink

et al. 2023

Preprint

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Abstract. This paper presents the third edition of the CM SAF cLoud, Albedo and surface RAdiation dataset from AVHRR data, CLARA-A3. The content of earlier CLARA editions, namely cloud, surface albedo, and surface radiation products, has been extended with two additional surface albedo products (blue and white sky albedo), three additional surface radiation products (net shortwave and longwave radiation, surface radiation budget) and two top of atmosphere radiation budget products (reflected solar flux and outgoing longwave radiation). The record length is extended to 42 years (1979–2020) by also incorporating results from the first version of the Advanced Very High Resolution Radiometer (AVHRR) imager (AVHRR/1). A continuous extension of the climate data record (CDR) has also been implemented by processing an interim climate data record (ICDR) based on the same set of algorithms but with slightly changed ancillary input data. All products are briefly described together with validation results and inter-comparisons with currently existing similar CDRs. The extension of the product portfolio and the temporal coverage of the data record, together with product improvements, is expected to enlarge the potential of using CLARA-A3 for climate change studies and, in particular, studies of potential feedback effects between clouds, surface albedo and radiation. The CLARA-A3 data record is hosted by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility on Climate Monitoring (CM SAF) and is freely available at https://doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V003.

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Section: Product Examples and Validation Resultsmentioning

confidence: 92%

CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

Karlsson

Finkensieper

Meirink

et al. 2023

Preprint

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“…Earlier comparisons of AVHRR cloud masks with Moderate Resolution Imaging Spectroradiometer (MODIS) based cloud masks estimated that 1 -3 % of the nominally clear local area coverage AVHRR data are cloud contaminated (Heidinger et al, 2002). More recent studies making use of high sensitivity lidar measurements from the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) mission indicate that the fraction of missed clouds is significantly higher and may even exceed 10 % in some geographical regions (Karlsson et al, 2017 andKarlsson andHåkansson, 2018). One factor that explains this difference to earlier studies is that the CALIPSO-CALIOP lidar is able to observe also very thin clouds which are truly non-visible to AVHRR data.…”

Section: Introductionmentioning

confidence: 99%

Cloud probability-based estimation of black-sky surface albedo from AVHRR data

Manninen

Jääskeläinen

Siljamo

et al. 2021

Preprint

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Abstract. Cloud cover constitutes a major challenge for the surface albedo estimation using Advanced Very High Resolution Radiometer AVHRR data for all possible conditions of cloud fraction and cloud type on any land cover type and solar zenith angle. Cloud masking has been the traditional way to estimate surface albedo from individual satellite images. Another approach to tackle cloudy conditions is presented in this study. Cloudy broadband albedo distributions were simulated first for theoretical cloud distributions and then using global cloud probability (CP) data of one month. A weighted mean approach based on the CP values was shown to produce very high accuracy black-sky surface albedo estimates for simulated data. The 90 % quantile for the error was 1.1 % (in absolute albedo percentage) and for the relative error it was 2.2 %. AVHRR based and in situ albedo distributions were in line with each other and also the monthly mean values were consistent. Comparison with binary cloud masking indicated that the developed method improves cloud contamination removal.

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Section: Introductionmentioning

confidence: 99%

Review on amt-2021-143

2021

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Klas-Göran Karlsson

Cited by 5 publications

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CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

CLARA-A3: The third edition of the AVHRR-based CM SAF climate data record on clouds, radiation and surface albedo covering the period 1979 to 2023

Cloud probability-based estimation of black-sky surface albedo from AVHRR data

Review on amt-2021-143

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