The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers

Figa-Saldaña, Julia; Wilson, J. J. W.; Attema, E.; Gelsthorpe, R. V.; Drinkwater, Mark R.; Stoffelen, Ad

doi:10.5589/m02-035

Cited by 375 publications

(196 citation statements)

References 31 publications

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“…The improved instrument design and radiometric performance results in higher stability and reliability of ASCAT measurements. Additionally EUMETSAT foresees to generate a research product at a resolution of 25km (Figa-Saldana et al, 2002). Figure 1 illustrates the viewing geometries of SCAT and ASCAT.…”

Section: Ascat Onboard Metop Satellitesmentioning

confidence: 99%

C-band Scatterometers and Their Applications

Naeimi¹,

Wagner²

2010

Geoscience and Remote Sensing New Achievements

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Section: Ascat Onboard Metop Satellitesmentioning

confidence: 99%

C-band Scatterometers and Their Applications

Naeimi¹,

Wagner²

2010

Geoscience and Remote Sensing New Achievements

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“…There is a long history of scatterometer observations, which are based on active microwave systems: Seasat [51], ERS1 and ERS2 [8], NSCAT [81; 106; 115], SeaWinds on QuikSCAT [103], SeaWinds on ADEOS2, and ASCAT [30]. These instruments provide very accurate winds in rain-free conditions and in some raining conditions [24; 25; 112; 82].…”

Section: Scatterometersmentioning

confidence: 99%

Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling

Bourassa¹

2010

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

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“…ASCAT is a Cband scatterometer deployed on the MetOp-A platform. It operates at 5.255 GHz using vertically-polarized antennas [1]. Although it is designed to measure wind fields over the oceans, the radar backscatter over land and ice is collected, proving useful in land and ice studies.…”

Section: Introductionmentioning

confidence: 99%

Adapting the sir algorithm to ASCAT

Lindsley

Long

2010

2010 IEEE International Geoscience and Remote Sensing Symposium

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Scatterometers have been launched primarily to measure ocean winds. The value of scatterometer data is increased by application of the SIR (Scatterometer Image Reconstruction) algorithm. The SIR algorithm enhances the effective resolution of the scatterometer data to support its use for other studies. SIR has been used successfully on several scatterometers, including QuikSCAT. In this paper, we describe how the SIR algorithm is adapted to ASCAT data. Using SZF data from ASCAT leads to the best resolution enhancement. SIR requires an estimate of the spatial extent for each measurement. We detail our method to estimate an approximate spatial response function for each ASCAT measurement. Finally, SIR parameters are tuned for use with ASCAT.

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The advanced scatterometer (ASCAT) on the meteorological operational (MetOp) platform: A follow on for European wind scatterometers

Cited by 375 publications

References 31 publications

C-band Scatterometers and Their Applications

C-band Scatterometers and Their Applications

Remotely Sensed Winds and Wind Stresses for Marine Forecasting and Ocean Modeling

Adapting the sir algorithm to ASCAT

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