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Karlsson, Karl-GöranORCID iD iconorcid.org/0000-0001-8256-0228
Publikasjoner (10 av 48) Visa alla publikasjoner
Eliasson, S., Karlsson, K.-G. & Willén, U. (2020). A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness. Geoscientific Model Development, 13(1), 297-314
Åpne denne publikasjonen i ny fane eller vindu >>A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness
2020 (engelsk)Inngår i: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 13, nr 1, s. 297-314Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-5637 (URN)10.5194/gmd-13-297-2020 (DOI)000510389700004 ()
Tilgjengelig fra: 2020-02-25 Laget: 2020-02-25 Sist oppdatert: 2020-02-25bibliografisk kontrollert
Benas, N., Meirink, J. F., Karlsson, K.-G., Stengel, M. & Stammes, P. (2020). Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms. Atmospheric Chemistry And Physics, 20(1), 457-474
Åpne denne publikasjonen i ny fane eller vindu >>Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms
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2020 (engelsk)Inngår i: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 20, nr 1, s. 457-474Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-5621 (URN)10.5194/acp-20-457-2020 (DOI)000507314100001 ()
Tilgjengelig fra: 2020-01-29 Laget: 2020-01-29 Sist oppdatert: 2020-01-29bibliografisk kontrollert
Eliasson, S., Karlsson, K.-G., van Meijgaard, E., Meirink, J. F., Stengel, M. & Willén, U. (2019). The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model. Geoscientific Model Development, 12(2), 829-847
Åpne denne publikasjonen i ny fane eller vindu >>The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model
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2019 (engelsk)Inngår i: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 12, nr 2, s. 829-847Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-5301 (URN)10.5194/gmd-12-829-2019 (DOI)000459423200001 ()
Tilgjengelig fra: 2019-07-31 Laget: 2019-07-31 Sist oppdatert: 2019-07-31bibliografisk kontrollert
Karlsson, K.-G. & Håkansson, N. (2018). Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record. Atmospheric Measurement Techniques, 11(1), 633-649
Åpne denne publikasjonen i ny fane eller vindu >>Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record
2018 (engelsk)Inngår i: Atmospheric Measurement Techniques, ISSN 1867-1381, E-ISSN 1867-8548, Vol. 11, nr 1, s. 633-649Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The sensitivity in detecting thin clouds of the cloud screening method being used in the CM SAF cloud, albedo and surface radiation data set from AVHRR data (CLARA-A2) cloud climate data record (CDR) has been evaluated using cloud information from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) onboard the CALIPSO satellite. The sensitivity, including its global variation, has been studied based on collocations of Advanced Very High Resolution Radiometer (AVHRR) and CALIOP measurements over a 10-year period (2006-2015). The cloud detection sensitivity has been defined as the minimum cloud optical thickness for which 50% of clouds could be detected, with the global average sensitivity estimated to be 0.225. After using this value to reduce the CALIOP cloud mask (i.e. clouds with optical thickness below this threshold were interpreted as cloud-free cases), cloudiness results were found to be basically unbiased over most of the globe except over the polar regions where a considerable underestimation of cloudiness could be seen during the polar winter. The overall probability of detecting clouds in the polar winter could be as low as 50% over the highest and coldest parts of Greenland and Antarctica, showing that a large fraction of optically thick clouds also remains undetected here. The study included an in-depth analysis of the probability of detecting a cloud as a function of the vertically integrated cloud optical thickness as well as of the cloud's geographical position. Best results were achieved over oceanic surfaces at mid-to high latitudes where at least 50% of all clouds with an optical thickness down to a value of 0.075 were detected. Corresponding cloud detection sensitivities over land surfaces outside of the polar regions were generally larger than 0.2 with maximum values of approximately 0.5 over the Sahara and the Arabian Peninsula. For polar land surfaces the values were close to 1 or higher with maximum values of 4.5 for the parts with the highest altitudes over Greenland and Antarctica. It is suggested to quantify the detection performance of other CDRs in terms of a sensitivity threshold of cloud optical thickness, which can be estimated using active lidar observations. Validation results are proposed to be used in Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulation Package (COSP) simulators for cloud detection characterization of various cloud CDRs from passive imagery.

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urn:nbn:se:smhi:diva-4502 (URN)10.5194/amt-11-633-2018 (DOI)000423980700002 ()
Tilgjengelig fra: 2018-02-20 Laget: 2018-02-20 Sist oppdatert: 2018-02-20bibliografisk kontrollert
Karlsson, K.-G. & Devasthale, A. (2018). Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x. Remote Sensing, 10(10), Article ID 1567.
Åpne denne publikasjonen i ny fane eller vindu >>Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x
2018 (engelsk)Inngår i: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 10, nr 10, artikkel-id 1567Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-5008 (URN)10.3390/rs10101567 (DOI)000448555800067 ()
Tilgjengelig fra: 2018-11-23 Laget: 2018-11-23 Sist oppdatert: 2018-11-23bibliografisk kontrollert
Riihela, A., Key, J. R., Meirink, J. F., Munneke, P. K., Palo, T. & Karlsson, K.-G. (2017). An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic. Journal of Geophysical Research - Atmospheres, 122(9), 4829-4848
Åpne denne publikasjonen i ny fane eller vindu >>An intercomparison and validation of satellite-based surface radiative energy flux estimates over the Arctic
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2017 (engelsk)Inngår i: Journal of Geophysical Research - Atmospheres, ISSN 2169-897X, E-ISSN 2169-8996, Vol. 122, nr 9, s. 4829-4848Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-4119 (URN)10.1002/2016JD026443 (DOI)000402039000005 ()
Tilgjengelig fra: 2017-06-21 Laget: 2017-06-21 Sist oppdatert: 2017-06-21bibliografisk kontrollert
Karlsson, K.-G., Anttila, K., Trentmann, J., Stengel, M., Meirink, J. F., Devasthale, A., . . . Hollmann, R. (2017). CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data. Atmospheric Chemistry And Physics, 17(9), 5809-5828
Åpne denne publikasjonen i ny fane eller vindu >>CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data
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2017 (engelsk)Inngår i: Atmospheric Chemistry And Physics, ISSN 1680-7316, E-ISSN 1680-7324, Vol. 17, nr 9, s. 5809-5828Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-4108 (URN)10.5194/acp-17-5809-2017 (DOI)000401103400002 ()
Tilgjengelig fra: 2017-06-07 Laget: 2017-06-07 Sist oppdatert: 2017-06-07bibliografisk kontrollert
Stengel, M., Stapelberg, S., Sus, O., Schlundt, C., Poulsen, C., Thomas, G., . . . Hollmann, R. (2017). Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project. Earth System Science Data, 9(2), 881-904
Åpne denne publikasjonen i ny fane eller vindu >>Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project
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2017 (engelsk)Inngår i: Earth System Science Data, ISSN 1866-3508, E-ISSN 1866-3516, Vol. 9, nr 2, s. 881-904Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-4451 (URN)10.5194/essd-9-881-2017 (DOI)000416002500001 ()
Tilgjengelig fra: 2017-12-12 Laget: 2017-12-12 Sist oppdatert: 2017-12-12bibliografisk kontrollert
Karlsson, K.-G., Håkansson, N., Mittaz, J. P. D., Hanschmann, T. & Devasthale, A. (2017). Impact of AVHRR Channel 3b Noise on Climate Data Records: Filtering Method Applied to the CM SAF CLARA-A2 Data Record. Remote Sensing, 9(6), Article ID 568.
Åpne denne publikasjonen i ny fane eller vindu >>Impact of AVHRR Channel 3b Noise on Climate Data Records: Filtering Method Applied to the CM SAF CLARA-A2 Data Record
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2017 (engelsk)Inngår i: Remote Sensing, ISSN 2072-4292, E-ISSN 2072-4292, Vol. 9, nr 6, artikkel-id 568Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-4141 (URN)10.3390/rs9060568 (DOI)000404623900059 ()
Tilgjengelig fra: 2017-08-07 Laget: 2017-08-07 Sist oppdatert: 2017-11-29bibliografisk kontrollert
Wu, D. L., Baum, B. A., Choi, Y.-S., Foster, M. J., Karlsson, K.-G., Heidinger, A., . . . Watts, P. (2017). TOWARD GLOBAL HARMONIZATION OF DERIVED CLOUD PRODUCTS. Bulletin of The American Meteorological Society - (BAMS), 98(2), ES49-ES52
Åpne denne publikasjonen i ny fane eller vindu >>TOWARD GLOBAL HARMONIZATION OF DERIVED CLOUD PRODUCTS
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2017 (engelsk)Inngår i: Bulletin of The American Meteorological Society - (BAMS), ISSN 0003-0007, E-ISSN 1520-0477, Vol. 98, nr 2, s. ES49-ES52Artikkel i tidsskrift (Fagfellevurdert) Published
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urn:nbn:se:smhi:diva-4047 (URN)10.1175/BAMS-D-16-0234.1 (DOI)000395826700001 ()
Tilgjengelig fra: 2017-04-12 Laget: 2017-04-12 Sist oppdatert: 2017-11-29bibliografisk kontrollert
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ORCID-id: ORCID iD iconorcid.org/0000-0001-8256-0228
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