New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator

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New methodology to estimate Arctic sea ice concentration from SMOS combining brightness temperature differences in a maximum-likelihood estimator

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im August 2017 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в серпні 2017

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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New methodology to estimate Ar ...... a maximum-likelihood estimator

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P1476

New methodology to estimate Ar ...... a maximum-likelihood estimator

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P2093

Antonio Turiel

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Carolina Gabarro

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Joaquim A. Pla-Resina

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Marcos Portabella

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P2860

Recent Arctic amplification and extreme mid-latitude weather

The Arctic’s rapidly shrinking sea ice cover: a research synthesis

The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle

Inter-comparison and evaluation of sea ice algorithms: towards further identification of challenges and optimal approach using passive microwave observations

The impact of melt ponds on summertime microwave brightness temperatures and sea-ice concentrations

Polar amplification of climate change in coupled models

A sea-ice thickness retrieval model for 1.4 GHz radiometry and application to airborne measurements over low salinity sea-ice

Passive microwave algorithms for sea ice concentration: A comparison of two techniques

Effects of Arctic Sea Ice Decline on Weather and Climate: A Review

P304

1987-2002

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scholarly article

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10.5194/TC-11-1987-2017

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P433

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P478

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Pedro Elosegui

P577

2017-08-30T00:00:00Z

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P819

2017TCry...11.1987G

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