Sea Ice Products for EUMETSAT Satellite Application Facility

Breivik, Lars-Anders; Eastwood, Steinar; Godøy, Øystein; Schyberg, Harald; Andersen, S. B.; Tonboe, Rasmus

doi:10.1080/07038992.2001.10854883

Cited by 27 publications

(17 citation statements)

References 11 publications

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“…In short, The Arctic SAL product from AVHRR describes the surface broadband albedo at the waveband of 0.25 -2.5 μm. The process first identifies and removes cloud-contaminated pixels [2] and resolves sea ice cloud ambiguities with ice concentration data from Ocean and Sea Ice SAF (OSI-SAF) [3]. Next we perform an atmospheric correction with the Simplified Method for Atmospheric correction (SMAC) algorithm [4].…”

Section: Sal Product Generationmentioning

confidence: 99%

Surface Albedo of the inner Arctic: Validation of the Climate-SAF satellite Albedo Product with in-situ observations

Riihelä

Laine

Manninen

et al. 2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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This paper describes a validation study performed by comparing the AVHRR-based Climate-SAF Surface Albedo Product (SAL) to ground truth observations over Greenland (Greenland Climate Network) and the ice-covered Arctic Ocean (Tara floating ice station) over Arctic summer 2007. The AVHRR dataset consists of 2755 overpasses. The SAL algorithm derives the surface broadband albedo from AVHRR channels 1 and 2 using an atmospheric correction, temporal sampling of an observation geometry to smooth out anisotropy effects, and a narrow-to-broadband conversion algorithm. At the Summit and DYE-2 stations on the Greenland ice sheet, instantaneous SAL RMSE is 0.073, weekly RMSE is 0.053. The heterogeneous surface conditions at satellite pixel scale over the stations near the Greenland west coast increase RMSE to over 0.12. Over Tara, the instantaneous SAL RMSE is 0.069, and 0.045 for weekly means. Considering various sources of uncertainty for both satellite retrievals and in situ observations, we conclude that SAL agrees with in situ observations within their limits of accuracy and spatial representativeness.

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Section: Sal Product Generationmentioning

confidence: 99%

Surface Albedo of the inner Arctic: Validation of the Climate-SAF satellite Albedo Product with in-situ observations

Riihelä

Laine

Manninen

et al. 2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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“…The cloud/sea ice delineation is strengthened by including the Ocean and Sea Ice Satellite Application Facility (OSI‐SAF) Northern Hemisphere Ice Concentration product data [ Breivik et al , 2001]. These data describe sea ice concentrations of 0%–100% using a weighted combination of the Bristol [ Smith , 1996] and Bootstrap [ Comiso , 1986] algorithms.…”

Section: Datamentioning

confidence: 99%

Shortwave broadband black-sky surface albedo estimation for Arctic sea ice using passive microwave radiometer data

Laine¹,

Manninen²,

Riihelä³

et al. 2011

J. Geophys. Res.

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[1] A new remote sensing method to estimate the optical broadband black-sky surface albedo using passive microwave radiometer data has been developed. In this research, the Advanced Very High Resolution Radiometer (AVHRR) based shortwave broadband black-sky albedos processed using the algorithms of the new surface broadband albedo CM-SAF product SAL, and the Advanced Microwave Scanning Radiometer (AMSR-E) microwave data from the National Snow and Ice Data Center, Boulder, Colorado, have been employed. To analyze the correspondence between AVHRR-based optical albedo and microwave brightness temperature, AMSR-E frequencies of 6.9, 18.7, and 36.5 GHz have been tested by fitting a third-degree polynomial curve to the SAL albedo and the AMSR-E data points. The best correlation occurs in 6.9 GHz vertical polarization brightness temperature (R 2 = 0.92). To illustrate and compare the spatial variabilities of the SAL and AMSR-E albedos of the sea ice during the melting and refreezing period, maps of 13 weeks have been prepared of both albedos from June to August 2007. The albedo time series from AMSR-E and AVHRR data are calculated for the combined sea ice and open water cover for the Northern Hemisphere as a whole, and for six specific sea ice regions: the Arctic Ocean, the Kara and Barents Seas, the Greenland Sea, the Labrador Sea, Hudson Bay, and the Canadian Archipelago. The standard errors between the optical and passive microwave estimates varied from about 0.001 (Greenland Sea) to 0.04 (Canadian Archipelago) being 0.013 on the average in absolute units. The relative standard errors are then smaller than 5% in most of the regions.Citation: Laine, V., T. Manninen, A. Riihelä, and K. Andersson (2011), Shortwave broadband black-sky surface albedo estimation for Arctic sea ice using passive microwave radiometer data,

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“…SAR (Synthetic Aperture Radar), scatterometer and microwave radiometer cannot be used directly for ice thickness retrieval. However, the ice salinity and roughness are characteristic for different ice ages/types that can be proxies for ice thickness categories [6] and [8]. New ice can be mapped by combinations of scatterometer and radiometer data [9] and the thickness of thin ice can be retrieved from passive microwave data [10] and [11].…”

Section: Ice Thickness and Ice Typesmentioning

confidence: 99%

“…, Tom Carrieres (2) , Steinar Eastwood (1) , Andrew Fleming (3) , Fanny Girard-Ardhuin (4) , Juha Karvonen (5) , Ron Kwok (6) , Walter N. Meier (7) , Marko Mäkynen (5) , Leif Toudal Pedersen (8) , Stein Sandven (9) , Markku Similä (5) , Rasmus Tonboe ( …”

mentioning

confidence: 99%

Remote Sensing of Sea Ice

Breivik¹

2010

Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society

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Sea Ice Products for EUMETSAT Satellite Application Facility

Cited by 27 publications

References 11 publications

Surface Albedo of the inner Arctic: Validation of the Climate-SAF satellite Albedo Product with in-situ observations

Surface Albedo of the inner Arctic: Validation of the Climate-SAF satellite Albedo Product with in-situ observations

Shortwave broadband black-sky surface albedo estimation for Arctic sea ice using passive microwave radiometer data

Remote Sensing of Sea Ice

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