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Implementation of the Daytime Cloud Optical and Microphysical Properties Algorithm (DCOMP) in PATMOS-x

Journal of applied meteorology and climatology, 2012-07, Vol.51 (7), p.1371-1390

2012

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A Naive Bayesian Cloud-Detection Scheme Derived from CALIPSO and Applied within PATMOS-x

Journal of applied meteorology and climatology, 2012-06, Vol.51 (6), p.1129-1144

2012

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Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band

Remote sensing (Basel, Switzerland), 2013-12, Vol.5 (12), p.6717-6766

2013

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THE PATHFINDER ATMOSPHERES–EXTENDED AVHRR CLIMATE DATASET

Bulletin of the American Meteorological Society, 2014-06, Vol.95 (6), p.909-922

2014

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Climatology Analysis of Aerosol Effect on Marine Water Cloud from Long-Term Satellite Climate Data Records

Remote sensing (Basel, Switzerland), 2016-04, Vol.8 (4), p.300-300

2016

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Using the NASA EOS A-Train to Probe the Performance of the NOAA PATMOS-x Cloud Fraction CDR

Remote sensing (Basel, Switzerland), 2016-06, Vol.8 (6), p.511

2016

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The spectral signature of cloud spatial structure in shortwave irradiance

Atmospheric chemistry and physics, 2016-11, Vol.16 (21), p.13791-13806

2016

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PATMOS-x Cloud Climate Record Trend Sensitivity to Reanalysis Products

Remote sensing (Basel, Switzerland), 2016-05, Vol.8 (5), p.424

2016

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PATMOS-x Version 6.0: 40 Years of Merged AVHRR and HIRS Global Cloud Data

Journal of climate, 2023-02, Vol.36 (4), p.1143-1160

2023

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Cloud mask algorithm from the EarthCARE Multi-Spectral Imager: the M-CM products

Atmospheric measurement techniques, 2023-06, Vol.16 (11), p.2821-2836

2023

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Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products

Atmospheric measurement techniques, 2024-01, Vol.17 (1), p.261-276

2024

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Lessons Learned from the Updated GEWEX Cloud Assessment Database

Surveys in geophysics, 2024-02

2024

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New Observation Operators for Cloud Liquid/Ice Water Path From ABI and Their Impact on Assimilation and Hurricane Forecasts

Journal of geophysical research. Atmospheres, 2021-05, Vol.126 (10), p.n/a

2021

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EVALUATING AND IMPROVING CLOUD PARAMETER RETRIEVALS

Bulletin of the American Meteorological Society, 2013-04, Vol.94 (4), p.ES41-ES44

2013

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The expected performance of cloud optical and microphysical properties derived from Suomi NPP VIIRS day/night band lunar reflectance

Journal of geophysical research. Atmospheres, 2013-12, Vol.118 (23), p.13,230-13,240

2013

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Comparison of precipitation in the regional climate model BALTIMOS to radar observations: Development and validation of a coupled model system in the Baltic Sea Region - BALTIMOS

Theoretical and applied climatology, 2014, Vol.118 (4), p.627-640

2014

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Comparison of precipitation in the regional climate model BALTIMOS to radar observations

Theoretical and applied climatology, 2014-11, Vol.118 (4), p.627-640

2014

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A Naive Bayesian Cloud-Detection Scheme Derived fromCALIPSOand Applied within PATMOS-x

Journal of applied meteorology and climatology, 2012-06, Vol.51 (6), p.1129-1144

2012

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Radar-based precipitation type analysis in the Baltic area

Tellus. Series A, Dynamic meteorology and oceanography, 2006-05

2006

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The Pathfinder Atmospheres-Extended AVHRR climate dataset: this article describes the PATMOS-x cloud climate data record, focusing on the methods used to minimize inter-satellite artifacts

Bulletin of the American Meteorological Society, 2014-06, Vol.95 (6), p.909

2014

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SUMMARY OF THE FOURTH CLOUD RETRIEVAL EVALUATION WORKSHOP

Bulletin of the American Meteorological Society, 2015-04, Vol.96 (4), p.ES71-ES74

2015

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Radar-based precipitation type analysis in the Baltic area

Tellus. Series A, Dynamic meteorology and oceanography, 2006-05, Vol.58 (3), p.331-343

2006

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Comparison of model predicted low-level cloud parameters with satellite remote sensing observations during the BALTEX Bridge Campaigns

Atmospheric research, 2006-11, Vol.82 (1-2), p.83-101

2006

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Model predicted low-level cloud parameters. Part II: Comparison with satellite remote sensing observations during the BALTEX Bridge Campaigns

Atmospheric research, 2006-11, Vol.82 (1-2), p.83-101

2006

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Model predicted low-level cloud parameters

Atmospheric research, 2006-11, Vol.82 (1), p.83-101

2006

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Implementation of the Daytime Cloud Optical and Microphysical Properties Algorithm (DCOMP) in PATMOS-x

A Naive Bayesian Cloud-Detection Scheme Derived from CALIPSO and Applied within PATMOS-x

Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band

THE PATHFINDER ATMOSPHERES–EXTENDED AVHRR CLIMATE DATASET

Climatology Analysis of Aerosol Effect on Marine Water Cloud from Long-Term Satellite Climate Data Records

Using the NASA EOS A-Train to Probe the Performance of the NOAA PATMOS-x Cloud Fraction CDR

The spectral signature of cloud spatial structure in shortwave irradiance

PATMOS-x Cloud Climate Record Trend Sensitivity to Reanalysis Products

PATMOS-x Version 6.0: 40 Years of Merged AVHRR and HIRS Global Cloud Data

Cloud mask algorithm from the EarthCARE Multi-Spectral Imager: the M-CM products

Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products

Lessons Learned from the Updated GEWEX Cloud Assessment Database

New Observation Operators for Cloud Liquid/Ice Water Path From ABI and Their Impact on Assimilation and Hurricane Forecasts

EVALUATING AND IMPROVING CLOUD PARAMETER RETRIEVALS

The expected performance of cloud optical and microphysical properties derived from Suomi NPP VIIRS day/night band lunar reflectance

Comparison of precipitation in the regional climate model BALTIMOS to radar observations: Development and validation of a coupled model system in the Baltic Sea Region - BALTIMOS

Comparison of precipitation in the regional climate model BALTIMOS to radar observations

A Naive Bayesian Cloud-Detection Scheme Derived fromCALIPSOand Applied within PATMOS-x

Radar-based precipitation type analysis in the Baltic area

The Pathfinder Atmospheres-Extended AVHRR climate dataset: this article describes the PATMOS-x cloud climate data record, focusing on the methods used to minimize inter-satellite artifacts

SUMMARY OF THE FOURTH CLOUD RETRIEVAL EVALUATION WORKSHOP

Radar-based precipitation type analysis in the Baltic area

Comparison of model predicted low-level cloud parameters with satellite remote sensing observations during the BALTEX Bridge Campaigns

Model predicted low-level cloud parameters. Part II: Comparison with satellite remote sensing observations during the BALTEX Bridge Campaigns

Model predicted low-level cloud parameters

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