Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts
The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B) was successfully launched on October 25, 2018, carrying a scanning microwave radiometer (SMR) to provide information about the ocean and atmosphere. For the first time, this study investigated the impact of radiance data from...
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Published in | Quarterly journal of the Royal Meteorological Society Vol. 150; no. 759; pp. 937 - 957 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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Chichester, UK
John Wiley & Sons, Ltd
01.01.2024
Wiley Subscription Services, Inc |
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Abstract | The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B) was successfully launched on October 25, 2018, carrying a scanning microwave radiometer (SMR) to provide information about the ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY‐2B SMR in the four‐dimensional variational (4DVar) data assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA‐GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY‐2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA‐GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one‐month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear‐sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improving the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1–5 in the lower troposphere of the tropical region.
The HY‐2B SMR is currently the only microwave imager operating in the early‐morning orbit for civil use, which could effectively fill the gap between the swaths of the microwave radiation imagers on board Fengyun‐3C and Fengyun‐3D. Various verifications demonstrate that the dynamic and thermodynamic fields are significantly improved in the analysis and forecasts after assimilating the SMR observations. |
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AbstractList | The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B) was successfully launched on October 25, 2018, carrying a scanning microwave radiometer (SMR) to provide information about the ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY‐2B SMR in the four‐dimensional variational (4DVar) data assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA‐GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY‐2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA‐GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one‐month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear‐sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improving the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1–5 in the lower troposphere of the tropical region.
The HY‐2B SMR is currently the only microwave imager operating in the early‐morning orbit for civil use, which could effectively fill the gap between the swaths of the microwave radiation imagers on board Fengyun‐3C and Fengyun‐3D. Various verifications demonstrate that the dynamic and thermodynamic fields are significantly improved in the analysis and forecasts after assimilating the SMR observations. The Chinese second ocean dynamic environment satellite Haiyang‐2B ( HY‐2B ) was successfully launched on October 25, 2018, carrying a scanning microwave radiometer (SMR) to provide information about the ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY‐2B SMR in the four‐dimensional variational (4DVar) data assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA‐GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY‐2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA‐GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one‐month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear‐sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improving the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1–5 in the lower troposphere of the tropical region. The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B) was successfully launched on October 25, 2018, carrying a scanning microwave radiometer (SMR) to provide information about the ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY‐2B SMR in the four‐dimensional variational (4DVar) data assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA‐GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY‐2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA‐GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one‐month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear‐sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improving the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1–5 in the lower troposphere of the tropical region. |
Author | Han, Wei Li, Zeting |
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Cites_doi | 10.1175/MWR-D-17-0200.1 10.1002/qj.681 10.1002/qj.3654 10.1002/qj.49712656315 10.1002/qj.49712757418 10.1007/978-3-030-35798-6_24 10.1175/BAMS-D-13-00164.1 10.1109/TGRS.2008.917980 10.1002/2017MS001234 10.1002/qj.3172 10.1007/s13351-020-9122-x 10.5194/amt-7-1839-2014 10.3390/rs15040889 10.1007/s13131-014-0402-0 10.1175/JTECH-D-12-00119.1 10.1002/qj.3533 10.1002/qj.56 10.1002/qj.2669 10.1002/qj.4228 10.3402/tellusa.v68.30917 10.1256/qj.05.153 10.1109/IGARSS.2019.8900439 10.1175/MWR-D-21-0273.1 10.1175/BAMS-84-8-1013 10.1175/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2 10.3390/rs13040673 10.1175/2008MWR2363.1 10.1109/36.142920 10.1002/qj.659 10.1002/met.2133 10.1002/qj.500 10.3390/rs14235943 10.3402/tellusa.v68.30229 10.1109/TGRS.2008.917335 10.1002/qj.4544 10.1109/LGRS.2020.2968635 10.1002/qj.1999.49712555615 10.1109/IGARSS.2019.8898014 10.1029/2019JC015493 10.1002/qj.3746 |
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References | 2023; 11, 1084285 2023; 30 2010; 620 2003; 14 2006; 132 2019; 124 1999; 125 2016; 142 2021; 79 2020; 2 2016; 68(1), 30917 2000; 126 2007; 133 2022; 80 2014; 95 2003; 84 2014; 7 2022; 150 2023; 15 2009; 135 2019; 147 2005 2004 2020; 34 2020; 146 1996; 124 2019; 145 2001; 127 1992; 30 2021; 13 2023 2022; 60 2022 2010; 136 2021; 18 2019 2022; 14 2008; 46 2017 2016 2014 2008; 136 149 2013 2017; 143 2018; 10 2022; 148 2016; 68 2014; 33 2014; 31 Yang C. (e_1_2_11_50_1) 2016; 68 e_1_2_11_32_1 e_1_2_11_55_1 Han W. (e_1_2_11_22_1) 2016 e_1_2_11_57_1 e_1_2_11_36_1 e_1_2_11_51_1 e_1_2_11_13_1 e_1_2_11_34_1 e_1_2_11_53_1 e_1_2_11_11_1 e_1_2_11_29_1 e_1_2_11_6_1 e_1_2_11_27_1 e_1_2_11_4_1 e_1_2_11_48_1 e_1_2_11_20_1 e_1_2_11_47_1 e_1_2_11_24_1 e_1_2_11_41_1 e_1_2_11_8_1 e_1_2_11_43_1 e_1_2_11_17_1 e_1_2_11_15_1 e_1_2_11_38_1 Geer A.J. (e_1_2_11_19_1) 2010 e_1_2_11_10_1 e_1_2_11_31_1 e_1_2_11_56_1 e_1_2_11_14_1 e_1_2_11_35_1 e_1_2_11_52_1 e_1_2_11_7_1 Liu Q. (e_1_2_11_33_1) 2003; 14 e_1_2_11_28_1 e_1_2_11_5_1 (JAXA) JAEA (e_1_2_11_2_1) 2013 e_1_2_11_26_1 e_1_2_11_3_1 Duncan D. (e_1_2_11_12_1) 2023 Lean P. (e_1_2_11_30_1) 2017 Xie H. (e_1_2_11_49_1); 149 Chen X. (e_1_2_11_9_1) 2021; 79 Yu R. (e_1_2_11_54_1) 2022 e_1_2_11_21_1 e_1_2_11_44_1 Hongyi X. (e_1_2_11_25_1) 2022; 80 e_1_2_11_40_1 e_1_2_11_23_1 e_1_2_11_42_1 e_1_2_11_18_1 Wang S. (e_1_2_11_45_1) 2022; 60 Wu Z. (e_1_2_11_46_1) 2023; 11 e_1_2_11_16_1 e_1_2_11_37_1 e_1_2_11_39_1 |
References_xml | – volume: 136 start-page: 1868 issue: 652 year: 2010 end-page: 1885 article-title: Direct 4D‐Var assimilation of all‐sky radiances. Part I: implementation publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 18 start-page: 137 issue: 1 year: 2021 end-page: 141 article-title: Evaluation of the initial sea surface temperature from the HY‐2B scanning microwave radiometer publication-title: IEEE Geoscience and Remote Sensing Letters – volume: 11, 1084285 year: 2023 article-title: Global statistical assessment of Haiyang‐2B scanning microwave radiometer precipitable water vapor publication-title: Frontiers in Earth Science – volume: 15 issue: 4 year: 2023 article-title: Biases' characteristics assessment of the HY‐2B scanning microwave radiometer (SMR)'s observations publication-title: Remote Sensing – volume: 95 start-page: 701 issue: 5 year: 2014 article-title: The global precipitation measurement mission publication-title: Bulletin of the American Meteorological Society – year: 2005 – volume: 30 issue: 3 year: 2023 article-title: Assimilation of data from the MWHS‐II onboard the first early morning satellite FY‐3E into the CMA global 4D‐Var system publication-title: Meteorological Applications – volume: 80 start-page: 777 issue: 5 year: 2022 end-page: 790 article-title: Assimilation of GCOM‐W AMSR2 radiance data in CMA_GFS 4DVar publication-title: Acta Meteorologica Sinica – year: 2014 – volume: 146 start-page: 49 issue: 726 year: 2020 end-page: 68 article-title: Assimilation of satellite data in numerical weather prediction. Part I: the early years publication-title: Quarterly Journal of the Royal Meteorological Society – start-page: 60 year: 2022 article-title: Instrument design and early in‐orbit performance of HY‐2B scanning microwave radiometer publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 14 start-page: 60 issue: 3 year: 2003 end-page: 67 article-title: Explicit cloud schemes of HLAFS and simulation of heavy rainfall and clouds. Part I: explicit cloud schemes publication-title: Journal of Applied Meteorology and Science – volume: 31 start-page: 287 issue: 2 year: 2014 end-page: 301 article-title: An overview of the China Meteorological Administration tropical cyclone database publication-title: Journal of Atmospheric and Oceanic Technology – year: 2004 – volume: 124 start-page: 2322 issue: 10 year: 1996 end-page: 2339 article-title: Nonlocal boundary layer vertical diffusion in a medium‐range forecast model publication-title: Monthly Weather Review – volume: 142 start-page: 721 issue: 695 year: 2016 end-page: 737 article-title: Effects of all‐sky assimilation of GCOM‐W/AMSR2 radiances in the ECMWF numerical weather prediction system publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 143 start-page: 3189 issue: 709 year: 2017 end-page: 3206 article-title: The growing impact of satellite observations sensitive to humidity, cloud and precipitation publication-title: Quarterly Journal of the Royal Meteorological Society – year: 2019 – volume: 148 start-page: 521 issue: 743 year: 2022 end-page: 556 article-title: Assimilation of satellite data in numerical weather prediction. Part II: recent years publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 136 start-page: 1886 issue: 652 year: 2010 end-page: 1905 article-title: Direct 4D‐Var assimilation of all‐sky radiances. Part II: assessment publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 150 start-page: 1023 issue: 5 year: 2022 end-page: 1041 article-title: Assimilation of AMSU‐A in all‐sky conditions publication-title: Monthly Weather Review – volume: 126 start-page: 689 issue: 563 year: 2000 end-page: 724 article-title: The use of TOVS level‐1b radiances in the NCEP SSI analysis system publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 145 start-page: 1882 issue: 722 year: 2019 end-page: 1896 article-title: The operational global four‐dimensional variational data assimilation system at the China Meteorological Administration publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 30 start-page: 419 issue: 3 year: 1992 end-page: 429 article-title: A technique for enhancing and matching the resolution of microwave measurements from the SSM/I instrument publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 620 year: 2010 – volume: 68 issue: 1 year: 2016 article-title: Significance of changes in medium‐range forecast scores publication-title: Tellus A: Dynamic Meteorology and Oceanography – volume: 68(1), 30917 year: 2016 article-title: AMSR2 all‐sky radiance assimilation and its impact on the analysis and forecast of hurricane Sandy with a limited‐area data assimilation system publication-title: Tellus Series A‐Dynamic Meteorology and Oceanography – volume: 132 start-page: 1259 issue: 617 year: 2006 end-page: 1281 article-title: Multiple‐scattering microwave radiative transfer for data assimilation applications publication-title: Quarterly Journal of the Royal Meteorological Society: A Journal of the Atmospheric Sciences, Applied Meteorology and Physical Oceanography – volume: 46 start-page: 884 issue: 4 year: 2008 end-page: 900 article-title: The assimilation of SSMIS radiances in numerical weather prediction models publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 149 start-page: 3014 issue: 756 end-page: 3043 article-title: Assimilating FY3D‐MWRI 23. 8GHz observations in the CMA‐GFS 4DVAR system based on a pseudo all‐sky data assimilation method publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 135 start-page: 1863 issue: 644 year: 2009 end-page: 1876 article-title: Characterization of the impact of geostationary clear‐sky radiances on wind analyses in a 4D‐Var context publication-title: Quarterly Journal of the Royal Meteorological Society: A Journal of the Atmospheric Sciences, Applied Meteorology and Physical Oceanography – volume: 146 start-page: 1459 issue: 728 year: 2020 end-page: 1476 article-title: The evaluation of FY4A's geostationary interferometric infrared sounder (GIIRS) long‐wave temperature sounding channels using the GRAPES global 4D‐Var publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 34 start-page: 836 issue: 4 year: 2020 end-page: 850 article-title: Impact of FY‐3D MWRI radiance assimilation in GRAPES 4DVar on forecasts of typhoon Shanshan publication-title: Journal of Meteorological Research – year: 2016 – volume: 79 start-page: 65 issue: 1 year: 2021 end-page: 78 article-title: A diagnostic study of cloud scheme for the GRAPES global forecast model publication-title: Acta Meteorologica Sinica – volume: 33 start-page: 109 issue: 1 year: 2014 end-page: 113 article-title: Assessment of the initial sea surface temperature product of the scanning microwave radiometer aboard on HY‐2 satellite publication-title: Acta Oceanologica Sinica – volume: 127 start-page: 1453 issue: 574 year: 2001 end-page: 1468 article-title: A satellite radiance‐bias correction scheme for data assimilation publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 10 start-page: 652 issue: 3 year: 2018 end-page: 667 article-title: Application and evaluation of an explicit prognostic cloud‐cover scheme in GRAPES global forecast system publication-title: Journal of Advances in Modeling Earth Systems – volume: 60 start-page: 1 year: 2022 end-page: 16 article-title: Stability of the HY‐2B scanning microwave radiometer (SMR) brightness temperature using a modified vicarious cold reference publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 2 start-page: 941 year: 2020 end-page: 982 article-title: Assimilation of precipitation observations from space into numerical weather prediction (NWP) publication-title: Satellite Precipitation Measurement – volume: 124 start-page: 7683 issue: 11 year: 2019 end-page: 7699 article-title: Comparisons of ocean radiative transfer models with SMAP and AMSR2 observations publication-title: Journal of Geophysical Research: Oceans – volume: 84 start-page: 1013 issue: 8 year: 2003 end-page: 1024 article-title: The common land model publication-title: Bulletin of the American Meteorological Society – volume: 136 start-page: 4773 issue: 12 year: 2008 end-page: 4798 article-title: Impact of a new radiation package, McRad, in the ECMWF integrated forecasting system publication-title: Monthly Weather Review – volume: 14 start-page: 5943 issue: 23 year: 2022 article-title: Direct assimilation of Chinese FY‐3E microwave temperature Sounder‐3 radiances in the CMA‐GFS: an initial study publication-title: Remote Sensing – year: 2023 – volume: 147 start-page: 175 issue: 1 year: 2019 end-page: 198 article-title: The impact of assimilation of GPM microwave imager clear‐sky radiance on numerical simulations of hurricanes Joaquin (2015) and Matthew (2016) with the HWRF model publication-title: Monthly Weather Review – volume: 7 start-page: 1839 issue: 6 year: 2014 end-page: 1860 article-title: Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies publication-title: Atmospheric Measurement Techniques – volume: 46 start-page: 863 issue: 4 year: 2008 end-page: 883 article-title: Design and evaluation of the first special sensor microwave imager/sounder publication-title: IEEE Transactions on Geoscience and Remote Sensing – year: 2017 – volume: 125 start-page: 1407 issue: 556 year: 1999 end-page: 1425 article-title: An improved fast radiative transfer model for assimilation of satellite radiance observations publication-title: Quarterly Journal of the Royal Meteorological Society – volume: 13 start-page: 673 issue: 4 year: 2021 article-title: Studies of FY‐3 observations over the past 10 years: a review publication-title: Remote Sensing – year: 2013 – volume: 133 start-page: 631 issue: 624 year: 2007 end-page: 642 article-title: Adaptive bias correction for satellite data in a numerical weather prediction system publication-title: Quarterly Journal of the Royal Meteorological Society: A Journal of the Atmospheric Sciences, Applied Meteorology and Physical Oceanography – ident: e_1_2_11_42_1 doi: 10.1175/MWR-D-17-0200.1 – ident: e_1_2_11_20_1 doi: 10.1002/qj.681 – ident: e_1_2_11_15_1 doi: 10.1002/qj.3654 – ident: e_1_2_11_38_1 doi: 10.1002/qj.49712656315 – ident: e_1_2_11_23_1 doi: 10.1002/qj.49712757418 – ident: e_1_2_11_8_1 doi: 10.1007/978-3-030-35798-6_24 – ident: e_1_2_11_39_1 – start-page: 60 year: 2022 ident: e_1_2_11_54_1 article-title: Instrument design and early in‐orbit performance of HY‐2B scanning microwave radiometer publication-title: IEEE Transactions on Geoscience and Remote Sensing – volume: 80 start-page: 777 issue: 5 year: 2022 ident: e_1_2_11_25_1 article-title: Assimilation of GCOM‐W AMSR2 radiance data in CMA_GFS 4DVar publication-title: Acta Meteorologica Sinica – volume: 11 year: 2023 ident: e_1_2_11_46_1 article-title: Global statistical assessment of Haiyang‐2B scanning microwave radiometer precipitable water vapor publication-title: Frontiers in Earth Science – volume-title: GCOM‐W1 “SHIZUKU” data users handbook year: 2013 ident: e_1_2_11_2_1 – ident: e_1_2_11_26_1 doi: 10.1175/BAMS-D-13-00164.1 – volume: 60 start-page: 1 year: 2022 ident: e_1_2_11_45_1 article-title: Stability of the HY‐2B scanning microwave radiometer (SMR) brightness temperature using a modified vicarious cold reference publication-title: IEEE Transactions on Geoscience and Remote Sensing – ident: e_1_2_11_29_1 doi: 10.1109/TGRS.2008.917980 – ident: e_1_2_11_36_1 doi: 10.1002/2017MS001234 – ident: e_1_2_11_16_1 doi: 10.1002/qj.3172 – ident: e_1_2_11_47_1 doi: 10.1007/s13351-020-9122-x – ident: e_1_2_11_18_1 doi: 10.5194/amt-7-1839-2014 – ident: e_1_2_11_32_1 doi: 10.3390/rs15040889 – volume-title: Enhanced use of all‐sky microwave observations sensitive to water vapour, cloud and precipitation year: 2010 ident: e_1_2_11_19_1 – ident: e_1_2_11_51_1 doi: 10.1007/s13131-014-0402-0 – volume: 14 start-page: 60 issue: 3 year: 2003 ident: e_1_2_11_33_1 article-title: Explicit cloud schemes of HLAFS and simulation of heavy rainfall and clouds. Part I: explicit cloud schemes publication-title: Journal of Applied Meteorology and Science – ident: e_1_2_11_53_1 doi: 10.1175/JTECH-D-12-00119.1 – ident: e_1_2_11_11_1 – ident: e_1_2_11_55_1 doi: 10.1002/qj.3533 – ident: e_1_2_11_3_1 doi: 10.1002/qj.56 – ident: e_1_2_11_27_1 doi: 10.1002/qj.2669 – ident: e_1_2_11_14_1 doi: 10.1002/qj.4228 – volume-title: Superobbing and finer thinning for all‐sky humidity sounder assimilation year: 2023 ident: e_1_2_11_12_1 – volume: 68 year: 2016 ident: e_1_2_11_50_1 article-title: AMSR2 all‐sky radiance assimilation and its impact on the analysis and forecast of hurricane Sandy with a limited‐area data assimilation system publication-title: Tellus Series A‐Dynamic Meteorology and Oceanography doi: 10.3402/tellusa.v68.30917 – ident: e_1_2_11_5_1 doi: 10.1256/qj.05.153 – ident: e_1_2_11_21_1 – ident: e_1_2_11_35_1 doi: 10.1109/IGARSS.2019.8900439 – ident: e_1_2_11_13_1 doi: 10.1175/MWR-D-21-0273.1 – ident: e_1_2_11_10_1 doi: 10.1175/BAMS-84-8-1013 – ident: e_1_2_11_24_1 doi: 10.1175/1520-0493(1996)124<2322:NBLVDI>2.0.CO;2 – ident: e_1_2_11_57_1 doi: 10.3390/rs13040673 – volume: 79 start-page: 65 issue: 1 year: 2021 ident: e_1_2_11_9_1 article-title: A diagnostic study of cloud scheme for the GRAPES global forecast model publication-title: Acta Meteorologica Sinica – ident: e_1_2_11_40_1 doi: 10.1175/2008MWR2363.1 – ident: e_1_2_11_43_1 doi: 10.1109/36.142920 – ident: e_1_2_11_4_1 doi: 10.1002/qj.659 – ident: e_1_2_11_48_1 doi: 10.1002/met.2133 – ident: e_1_2_11_41_1 doi: 10.1002/qj.500 – ident: e_1_2_11_37_1 – ident: e_1_2_11_31_1 doi: 10.3390/rs14235943 – ident: e_1_2_11_17_1 doi: 10.3402/tellusa.v68.30229 – volume-title: Assimilation of global precipitation mission (GPM) microwave imager (GMI) in all‐sky conditions year: 2017 ident: e_1_2_11_30_1 – ident: e_1_2_11_6_1 doi: 10.1109/TGRS.2008.917335 – volume: 149 start-page: 3014 issue: 756 ident: e_1_2_11_49_1 article-title: Assimilating FY3D‐MWRI 23. 8GHz observations in the CMA‐GFS 4DVAR system based on a pseudo all‐sky data assimilation method publication-title: Quarterly Journal of the Royal Meteorological Society doi: 10.1002/qj.4544 – volume-title: Constrained adaptive bias correction for satellite radiance assimilation in the ECMWF 4D‐Var system year: 2016 ident: e_1_2_11_22_1 – ident: e_1_2_11_7_1 – ident: e_1_2_11_56_1 doi: 10.1109/LGRS.2020.2968635 – ident: e_1_2_11_44_1 doi: 10.1002/qj.1999.49712555615 – ident: e_1_2_11_34_1 doi: 10.1109/IGARSS.2019.8898014 – ident: e_1_2_11_28_1 doi: 10.1029/2019JC015493 – ident: e_1_2_11_52_1 doi: 10.1002/qj.3746 |
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Snippet | The Chinese second ocean dynamic environment satellite Haiyang‐2B (HY‐2B) was successfully launched on October 25, 2018, carrying a scanning microwave... The Chinese second ocean dynamic environment satellite Haiyang‐2B ( HY‐2B ) was successfully launched on October 25, 2018, carrying a scanning microwave... |
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SubjectTerms | CMA‐GFS 4DVar system Data assimilation Data collection Dynamic height Geopotential height Height forecasting HY‐2B SMR Lower troposphere Meteorology Microwave radiometers numerical weather prediction Oceans Quality control Radiance radiance assimilation Radiometers Sky radiance Tropical environment Tropical environments Troposphere Weather forecasting Wind analysis Wind speed |
Title | Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts |
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