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Significance of changes in medium-range forecast scores

Tellus. Series A, Dynamic meteorology and oceanography, 2016-12, Vol.68 (1), p.30229-21

Geer, Alan J.

2016

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Simultaneous Inference of Sea Ice State and Surface Emissivity Model Using Machine Learning and Data Assimilation

Journal of advances in modeling earth systems, 2024-07, Vol.16 (7), p.n/a

Geer, Alan J.

2024

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All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud

Atmospheric measurement techniques, 2019-09, Vol.12 (9), p.4903-4929

2019

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Correlated observation error models for assimilating all-sky infrared radiances

Atmospheric measurement techniques, 2019-07, Vol.12 (7), p.3629-3657

Geer, Alan J

2019

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Direct 4D‐Var assimilation of all‐sky radiances. Part I: Implementation

Quarterly journal of the Royal Meteorological Society, 2010-10, Vol.136 (652), p.1868-1885

2010

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Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Advances in atmospheric sciences, 2022-01, Vol.39 (1), p.9-21

2022

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Direct 4D‐Var assimilation of all‐sky radiances. Part II: Assessment

Quarterly journal of the Royal Meteorological Society, 2010-10, Vol.136 (652), p.1886-1905

2010

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Effects of all‐sky assimilation of GCOM‐W/AMSR2 radiances in the ECMWF numerical weather prediction system

Quarterly journal of the Royal Meteorological Society, 2016-01, Vol.142 (695), p.721-737

2016

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Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Bulletin of the American Meteorological Society, 2021-05, Vol.102 (5), p.E1016-E1032

2021

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Observation errors in all‐sky data assimilation

Quarterly journal of the Royal Meteorological Society, 2011-10, Vol.137 (661), p.2024-2037

2011

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Physical characteristics of frozen hydrometeors inferred with parameter estimation

Atmospheric measurement techniques, 2021-08, Vol.14 (8), p.5369-5395

Geer, Alan J

2021

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All-Sky Microwave Radiances Assimilated with an Ensemble Kalman Filter

Monthly weather review, 2020-07, Vol.148 (7), p.2737-2760

2020

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Solar Biases in Microwave Imager Observations Assimilated at ECMWF

IEEE transactions on geoscience and remote sensing, 2010-06, Vol.48 (6), p.2660-2669

2010

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Lessons learnt from the operational 1D + 4D‐Var assimilation of rain‐ and cloud‐affected SSM/I observations at ECMWF

Quarterly journal of the Royal Meteorological Society, 2008-07, Vol.134 (635), p.1513-1525

2008

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Evaluation and Assimilation of the Microwave Sounder MWHS-2 Onboard FY-3C in the ECMWF Numerical Weather Prediction System

IEEE transactions on geoscience and remote sensing, 2018-06, Vol.56 (6), p.3333-3349

2018

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All‐sky satellite data assimilation at operational weather forecasting centres

Quarterly journal of the Royal Meteorological Society, 2018-04, Vol.144 (713), p.1191-1217

2018

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Assimilation of AMSU-A in All-Sky Conditions

Monthly weather review, 2022-05, Vol.150 (5), p.1023-1041

2022

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A non‐parametric way to estimate observation errors based on ensemble innovations

Quarterly journal of the Royal Meteorological Society, 2024-04, Vol.150 (761), p.2296-2315

2024

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Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation

Atmospheric measurement techniques, 2021-05, Vol.14 (5), p.3427-3447

2021

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Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0

Geoscientific Model Development, 2021-12, Vol.14 (12), p.7497-7526

2021

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Assessing the impact of different liquid water permittivity models on the fit between model and observations

Atmospheric measurement techniques, 2019-01, Vol.12 (1), p.405-429

2019

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The future of Earth system prediction: Advances in model-data fusion

Science advances, 2022-04, Vol.8 (14), p.eabn3488-eabn3488

2022

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Machine Learning for Earth System Observation and Prediction

Bulletin of the American Meteorological Society, 2021-04, Vol.102 (4), p.E710-E716

2021

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SUMMER SNOWFALL WORKSHOP: Scattering Properties of Realistic Frozen Hydrometeors from Simulations and Observations, as well as Defining a New Standard for Scattering Databases

Bulletin of the American Meteorological Society, 2018-03, Vol.99 (3), p.ES55-ES58

2018

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Estimates of observation‐error characteristics in clear and cloudy regions for microwave imager radiances from numerical weather prediction

Quarterly journal of the Royal Meteorological Society, 2011-10, Vol.137 (661), p.2014-2023

2011

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Significance of changes in medium-range forecast scores

Simultaneous Inference of Sea Ice State and Surface Emissivity Model Using Machine Learning and Data Assimilation

All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud

Correlated observation error models for assimilating all-sky infrared radiances

Direct 4D‐Var assimilation of all‐sky radiances. Part I: Implementation

Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Direct 4D‐Var assimilation of all‐sky radiances. Part II: Assessment

Effects of all‐sky assimilation of GCOM‐W/AMSR2 radiances in the ECMWF numerical weather prediction system

Outlook for Exploiting Artificial Intelligence in the Earth and Environmental Sciences

Observation errors in all‐sky data assimilation

Physical characteristics of frozen hydrometeors inferred with parameter estimation

All-Sky Microwave Radiances Assimilated with an Ensemble Kalman Filter

Solar Biases in Microwave Imager Observations Assimilated at ECMWF

Lessons learnt from the operational 1D + 4D‐Var assimilation of rain‐ and cloud‐affected SSM/I observations at ECMWF

Evaluation and Assimilation of the Microwave Sounder MWHS-2 Onboard FY-3C in the ECMWF Numerical Weather Prediction System

All‐sky satellite data assimilation at operational weather forecasting centres

Assimilation of AMSU-A in All-Sky Conditions

A non‐parametric way to estimate observation errors based on ensemble innovations

Introducing hydrometeor orientation into all-sky microwave and submillimeter assimilation

Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0

Assessing the impact of different liquid water permittivity models on the fit between model and observations

The future of Earth system prediction: Advances in model-data fusion

Machine Learning for Earth System Observation and Prediction

SUMMER SNOWFALL WORKSHOP: Scattering Properties of Realistic Frozen Hydrometeors from Simulations and Observations, as well as Defining a New Standard for Scattering Databases

Estimates of observation‐error characteristics in clear and cloudy regions for microwave imager radiances from numerical weather prediction

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