Impact of SAPHIR radiances on the simulation of tropical cyclones over the Bay of Bengal using NCMRWF hybrid-4DVAR assimilation and forecast system

Observing System Experiments (OSEs) were conducted to analyze the impact of assimilation of Megha-Tropique’s (MT) Sounder for Probing Vertical Profiles of Humidity (SAPHIR) radiances on the simulation of tracks and intensity of three tropical cyclones (Kyant, Vardah, and Maarutha) formed over the Ba...

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Published in:Journal of Earth System Science Vol. 129; no. 1; p. 209
Main Authors: Choudhury, Devanil, Gupta, Ankur, Rani, S Indira, George, John P
Format: Journal Article
Language:English
Published: New Delhi Springer India 01-12-2020
Springer Nature B.V
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Abstract Observing System Experiments (OSEs) were conducted to analyze the impact of assimilation of Megha-Tropique’s (MT) Sounder for Probing Vertical Profiles of Humidity (SAPHIR) radiances on the simulation of tracks and intensity of three tropical cyclones (Kyant, Vardah, and Maarutha) formed over the Bay of Bengal during 2016–2017 North Indian Ocean cyclone period. National Centre for Medium Range Weather Forecast (NCMRWF) Unified Model (NCUM) Hybrid-4DVAR assimilation and forecast system was used for the OSEs. Assimilation of SAPHIR radiances produced an improvement of 9% and 12%, respectively, in the cyclones’ central sea level pressure (CSLP) and the maximum sustained wind (MSW), while an improvement of 38% was seen in the cyclone tracks within the forecast lead time of 120 hrs. Initial assessment shows that the improvement in the cyclone intensity is due to the assimilation of the unique surface peaking channel of SAPHIR (channel-6), whereas the improvement in the cyclone track is due to the assimilation remaining five channels of SAPHIR. Thus, the assimilation of SAPHIR radiances in the NCUM system showed improvement in both intensity and track of the cyclones over the Bay of Bengal; however, more cyclone cases over different ocean basins have to be analyzed to make a robust conclusion. This study specifies the importance of similar microwave humidity instruments in the same frequency range for the detailed exploration of cyclone track and structure. Highlights Impact of SAPHIR humidity channel information in the NCMRWF Hybrid-4DVar assimilation and forecast system is analysed through Observing system experiments (OSEs) Assimilation of SAPHIR humidity information improved both track and intensity of the cyclones compared to the control experiment, and the improvement is visible upto a lead time of 5 days It is noted that the improvement in the cyclone intensity simulation is due to the assimilation of the lowest peaking channel of the SAPHIR, while the track improvement is contributed by other channels as well. This study underlines the importance of SAPHIR like instruments in the low earth orbiting satellites with frequent revisit time to explore the features of cyclones.
AbstractList Observing System Experiments (OSEs) were conducted to analyze the impact of assimilation of Megha-Tropique’s (MT) Sounder for Probing Vertical Profiles of Humidity (SAPHIR) radiances on the simulation of tracks and intensity of three tropical cyclones (Kyant, Vardah, and Maarutha) formed over the Bay of Bengal during 2016–2017 North Indian Ocean cyclone period. National Centre for Medium Range Weather Forecast (NCMRWF) Unified Model (NCUM) Hybrid-4DVAR assimilation and forecast system was used for the OSEs. Assimilation of SAPHIR radiances produced an improvement of 9% and 12%, respectively, in the cyclones’ central sea level pressure (CSLP) and the maximum sustained wind (MSW), while an improvement of 38% was seen in the cyclone tracks within the forecast lead time of 120 hrs. Initial assessment shows that the improvement in the cyclone intensity is due to the assimilation of the unique surface peaking channel of SAPHIR (channel-6), whereas the improvement in the cyclone track is due to the assimilation remaining five channels of SAPHIR. Thus, the assimilation of SAPHIR radiances in the NCUM system showed improvement in both intensity and track of the cyclones over the Bay of Bengal; however, more cyclone cases over different ocean basins have to be analyzed to make a robust conclusion. This study specifies the importance of similar microwave humidity instruments in the same frequency range for the detailed exploration of cyclone track and structure. Highlights Impact of SAPHIR humidity channel information in the NCMRWF Hybrid-4DVar assimilation and forecast system is analysed through Observing system experiments (OSEs) Assimilation of SAPHIR humidity information improved both track and intensity of the cyclones compared to the control experiment, and the improvement is visible upto a lead time of 5 days It is noted that the improvement in the cyclone intensity simulation is due to the assimilation of the lowest peaking channel of the SAPHIR, while the track improvement is contributed by other channels as well. This study underlines the importance of SAPHIR like instruments in the low earth orbiting satellites with frequent revisit time to explore the features of cyclones.
Observing System Experiments (OSEs) were conducted to analyze the impact of assimilation of Megha-Tropique’s (MT) Sounder for Probing Vertical Profiles of Humidity (SAPHIR) radiances on the simulation of tracks and intensity of three tropical cyclones (Kyant, Vardah, and Maarutha) formed over the Bay of Bengal during 2016–2017 North Indian Ocean cyclone period. National Centre for Medium Range Weather Forecast (NCMRWF) Unified Model (NCUM) Hybrid-4DVAR assimilation and forecast system was used for the OSEs. Assimilation of SAPHIR radiances produced an improvement of 9% and 12%, respectively, in the cyclones’ central sea level pressure (CSLP) and the maximum sustained wind (MSW), while an improvement of 38% was seen in the cyclone tracks within the forecast lead time of 120 hrs. Initial assessment shows that the improvement in the cyclone intensity is due to the assimilation of the unique surface peaking channel of SAPHIR (channel-6), whereas the improvement in the cyclone track is due to the assimilation remaining five channels of SAPHIR. Thus, the assimilation of SAPHIR radiances in the NCUM system showed improvement in both intensity and track of the cyclones over the Bay of Bengal; however, more cyclone cases over different ocean basins have to be analyzed to make a robust conclusion. This study specifies the importance of similar microwave humidity instruments in the same frequency range for the detailed exploration of cyclone track and structure.HighlightsImpact of SAPHIR humidity channel information in the NCMRWF Hybrid-4DVar assimilation and forecast system is analysed through Observing system experiments (OSEs)Assimilation of SAPHIR humidity information improved both track and intensity of the cyclones compared to the control experiment, and the improvement is visible upto a lead time of 5 daysIt is noted that the improvement in the cyclone intensity simulation is due to the assimilation of the lowest peaking channel of the SAPHIR, while the track improvement is contributed by other channels as well.This study underlines the importance of SAPHIR like instruments in the low earth orbiting satellites with frequent revisit time to explore the features of cyclones.
ArticleNumber 209
Author Rani, S Indira
George, John P
Choudhury, Devanil
Gupta, Ankur
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  givenname: Ankur
  surname: Gupta
  fullname: Gupta, Ankur
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  givenname: John P
  surname: George
  fullname: George, John P
  organization: National Centre for Medium Range Weather Forecasting (NCMRWF), Ministry of Earth Sciences (MoES)
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CitedBy_id crossref_primary_10_1016_j_asr_2023_03_015
crossref_primary_10_1016_j_asr_2024_02_004
Cites_doi 10.1080/01431161.2016.1194542
10.1002/qj.834
10.1002/qj.3251
10.1175/MWR-D-12-00083.1
10.1007/s00703-013-0276-2
10.1175/2009MWR2976.1
10.1002/qj.2478
10.1080/01431161.2017.1323279
10.1256/qj.02.131
10.1007/s12040-017-0805-3
10.1002/qj.3258
10.1117/2.1201607.006533
10.1109/TGRS.2008.917335
10.1002/qj.2023
10.1007/s11069-011-9935-0
10.1175/2008JAS2737.1
10.1175/2009MWR2883.1
10.1029/2012GL053546
10.1002/jgrd.50502
10.5120/16378-5868
10.1029/2008GL037122
10.1029/2011JD016127
10.1155/2015/956920
10.5194/angeo-33-805-2015
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hybrid-4DVAR
data assimilation
SAPHIR
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References Lu, Bell, Bauer, Bormann, Peubey (CR16) 2011; 137
Kumar, Indira Rani, George, Rajagopal (CR12) 2018
Dhanya, Gopalakrishnan, Chandrasekar, Singh, Prasad (CR5) 2016; 37
CR18
CR14
CR11
CR10
CR32
CR30
Fabry, Sun (CR8) 2010; 138
Gentry, Lackmann (CR9) 2010; 138
Lorenc (CR15) 2003; 129
Madhulatha, George, Rajagopal (CR17) 2017; 126
Xu, Liu, Huang, Min, Wang (CR33) 2013; 122
Rani, Doherty, Atkinson, Bell, Newman, Renshaw, George, Rajagopal (CR24) 2016
de Rosnay, Drusch, Vasiljevic, Balsamo, Albergel, Isaksen (CR4) 2013; 139
CR3
CR6
Doherty, Indira Rani, Newman, Bell (CR7) 2018
CR29
CR27
CR26
CR25
CR23
CR22
CR21
Liu, Schwartz, Snyder, Ha (CR13) 2012; 140
CR20
Bell, English, Candy, Hilton, Atkinson, Swadley, Baker, Bormann, Kazumori (CR1) 2008; 46
Chambon, Meunier, Guillaume, Piriou, Roca, Mahfouf (CR2) 2015; 141
Mohapatra, Bandyopadhyay, Tyagi (CR19) 2012; 63
Singh, Prasad (CR28) 2017; 38
Wang (CR31) 2009; 66
1473_CR21
Z Liu (1473_CR13) 2012; 140
1473_CR22
1473_CR20
F Fabry (1473_CR8) 2010; 138
M Mohapatra (1473_CR19) 2012; 63
P de Rosnay (1473_CR4) 2013; 139
1473_CR6
1473_CR3
1473_CR29
P Chambon (1473_CR2) 2015; 141
1473_CR27
M Dhanya (1473_CR5) 2016; 37
A Doherty (1473_CR7) 2018
1473_CR25
1473_CR26
1473_CR23
1473_CR10
1473_CR32
1473_CR11
1473_CR30
W Bell (1473_CR1) 2008; 46
A Madhulatha (1473_CR17) 2017; 126
SI Rani (1473_CR24) 2016
S Kumar (1473_CR12) 2018
AC Lorenc (1473_CR15) 2003; 129
MS Gentry (1473_CR9) 2010; 138
SK Singh (1473_CR28) 2017; 38
1473_CR18
D Xu (1473_CR33) 2013; 122
Y Wang (1473_CR31) 2009; 66
1473_CR14
Q Lu (1473_CR16) 2011; 137
References_xml – ident: CR22
– ident: CR18
– volume: 37
  start-page: 3086
  issue: 13
  year: 2016
  end-page: 3103
  ident: CR5
  article-title: The impact of assimilating Megha-Tropiques SAPHIR radiances in the simulation of tropical cyclones over the Bay of Bengal using the WRF model
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2016.1194542
  contributor:
    fullname: Prasad
– volume: 137
  start-page: 1298
  year: 2011
  end-page: 1311
  ident: CR16
  article-title: An evaluation of FY-3A satellite data for numerical weather prediction
  publication-title: Quart. J. Roy. Meteorol. Soc.
  doi: 10.1002/qj.834
  contributor:
    fullname: Peubey
– year: 2018
  ident: CR12
  publication-title: Megha-Tropiques SAPHIR radiances in a hybrid 4D-Var data assimilation system: Study of forecast impact
  doi: 10.1002/qj.3251
  contributor:
    fullname: Rajagopal
– volume: 140
  start-page: 4017
  issue: 12
  year: 2012
  end-page: 4034
  ident: CR13
  article-title: Impact of assimilating AMSU-A radiances on forecasts of 2008 Atlantic tropical cyclones initialized with a limited-area ensemble Kalman filter
  publication-title: Mon. Weather Rev.
  doi: 10.1175/MWR-D-12-00083.1
  contributor:
    fullname: Ha
– ident: CR14
– volume: 122
  start-page: 1
  issue: 1–2
  year: 2013
  end-page: 8
  ident: CR33
  article-title: Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones
  publication-title: Meteorol. Atmos. Phys.
  doi: 10.1007/s00703-013-0276-2
  contributor:
    fullname: Wang
– ident: CR30
– volume: 138
  start-page: 688
  issue: 3
  year: 2010
  end-page: 704
  ident: CR9
  article-title: Sensitivity of simulated tropical cyclone structure and intensity to horizontal resolution
  publication-title: Mon. Weather Rev.
  doi: 10.1175/2009MWR2976.1
  contributor:
    fullname: Lackmann
– ident: CR10
– ident: CR6
– ident: CR29
– volume: 141
  start-page: 1769
  issue: 690
  year: 2015
  end-page: 1779
  ident: CR2
  article-title: Investigating the impact of the water-vapour sounding observations from SAPHIR on board Megha-Tropiques for the ARPEGE global model
  publication-title: Quart. J. Roy. Meteorol. Soc.
  doi: 10.1002/qj.2478
  contributor:
    fullname: Mahfouf
– ident: CR25
– volume: 38
  start-page: 4587
  issue: 16
  year: 2017
  end-page: 4610
  ident: CR28
  article-title: Impact of Megha-Tropiques SAPHIR radiances in T574L64 global data assimilation and forecasting system at NCMRWF
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2017.1323279
  contributor:
    fullname: Prasad
– ident: CR27
– ident: CR23
– volume: 129
  start-page: 3167
  year: 2003
  end-page: 3182
  ident: CR15
  article-title: Modelling of error covariances by four dimensional variational data assimilation
  publication-title: Quart. J. Roy. Metereol. Soc.
  doi: 10.1256/qj.02.131
  contributor:
    fullname: Lorenc
– ident: CR21
– volume: 126
  start-page: 24
  issue: 2
  year: 2017
  ident: CR17
  article-title: All-sky radiance simulation of Megha-Tropiques SAPHIR microwave sensor using multiple scattering radiative transfer model for data assimilation applications
  publication-title: J. Earth Syst. Sci.
  doi: 10.1007/s12040-017-0805-3
  contributor:
    fullname: Rajagopal
– year: 2018
  ident: CR7
  publication-title: Benefits of assimilating SAPHIR observations on analysis and forecasts of tropical fields in the Met Office Global Model
  doi: 10.1002/qj.3258
  contributor:
    fullname: Bell
– year: 2016
  ident: CR24
  article-title: Effect of new radiance observations on numerical weather prediction models
  publication-title: SPIE News room
  doi: 10.1117/2.1201607.006533
  contributor:
    fullname: Rajagopal
– volume: 46
  start-page: 884
  year: 2008
  end-page: 900
  ident: CR1
  article-title: The assimilation of SSMIS radiances in numerical weather prediction models;
  publication-title: Geosci. Remote Sens.
  doi: 10.1109/TGRS.2008.917335
  contributor:
    fullname: Kazumori
– ident: CR3
– ident: CR11
– ident: CR32
– volume: 139
  start-page: 1199
  issue: 674
  year: 2013
  end-page: 1213
  ident: CR4
  article-title: A simplified extended Kalman filter for the global operational soil moisture analysis at ECMWF
  publication-title: Quart. J. Roy. Meteor. Soc.
  doi: 10.1002/qj.2023
  contributor:
    fullname: Isaksen
– ident: CR26
– volume: 63
  start-page: 1285
  issue: 3
  year: 2012
  end-page: 1317
  ident: CR19
  article-title: Best track parameters of tropical cyclones over the North Indian Ocean: A review
  publication-title: Nat. Hazards
  doi: 10.1007/s11069-011-9935-0
  contributor:
    fullname: Tyagi
– volume: 66
  start-page: 1250
  issue: 5
  year: 2009
  end-page: 1273
  ident: CR31
  article-title: How do outer spiral rainbands affect tropical cyclone structure and intensity?
  publication-title: J. Atmos. Sci.
  doi: 10.1175/2008JAS2737.1
  contributor:
    fullname: Wang
– volume: 138
  start-page: 242
  issue: 1
  year: 2010
  end-page: 255
  ident: CR8
  article-title: For how long should what data be assimilated for the mesoscale forecasting of convection and why? Part I: On the propagation of initial condition errors and their implications for data assimilation
  publication-title: Mon. Weather Rev.
  doi: 10.1175/2009MWR2883.1
  contributor:
    fullname: Sun
– ident: CR20
– volume: 141
  start-page: 1769
  issue: 690
  year: 2015
  ident: 1473_CR2
  publication-title: Quart. J. Roy. Meteorol. Soc.
  doi: 10.1002/qj.2478
  contributor:
    fullname: P Chambon
– volume: 63
  start-page: 1285
  issue: 3
  year: 2012
  ident: 1473_CR19
  publication-title: Nat. Hazards
  doi: 10.1007/s11069-011-9935-0
  contributor:
    fullname: M Mohapatra
– year: 2016
  ident: 1473_CR24
  publication-title: SPIE News room
  doi: 10.1117/2.1201607.006533
  contributor:
    fullname: SI Rani
– volume: 138
  start-page: 242
  issue: 1
  year: 2010
  ident: 1473_CR8
  publication-title: Mon. Weather Rev.
  doi: 10.1175/2009MWR2883.1
  contributor:
    fullname: F Fabry
– ident: 1473_CR10
– ident: 1473_CR32
  doi: 10.1029/2012GL053546
– ident: 1473_CR14
– ident: 1473_CR20
– volume: 66
  start-page: 1250
  issue: 5
  year: 2009
  ident: 1473_CR31
  publication-title: J. Atmos. Sci.
  doi: 10.1175/2008JAS2737.1
  contributor:
    fullname: Y Wang
– ident: 1473_CR27
  doi: 10.1002/jgrd.50502
– volume: 129
  start-page: 3167
  year: 2003
  ident: 1473_CR15
  publication-title: Quart. J. Roy. Metereol. Soc.
  doi: 10.1256/qj.02.131
  contributor:
    fullname: AC Lorenc
– ident: 1473_CR26
– volume: 37
  start-page: 3086
  issue: 13
  year: 2016
  ident: 1473_CR5
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2016.1194542
  contributor:
    fullname: M Dhanya
– volume-title: Megha-Tropiques SAPHIR radiances in a hybrid 4D-Var data assimilation system: Study of forecast impact
  year: 2018
  ident: 1473_CR12
  doi: 10.1002/qj.3251
  contributor:
    fullname: S Kumar
– volume: 126
  start-page: 24
  issue: 2
  year: 2017
  ident: 1473_CR17
  publication-title: J. Earth Syst. Sci.
  doi: 10.1007/s12040-017-0805-3
  contributor:
    fullname: A Madhulatha
– volume: 122
  start-page: 1
  issue: 1–2
  year: 2013
  ident: 1473_CR33
  publication-title: Meteorol. Atmos. Phys.
  doi: 10.1007/s00703-013-0276-2
  contributor:
    fullname: D Xu
– ident: 1473_CR22
– ident: 1473_CR29
  doi: 10.5120/16378-5868
– ident: 1473_CR25
  doi: 10.1029/2008GL037122
– volume: 138
  start-page: 688
  issue: 3
  year: 2010
  ident: 1473_CR9
  publication-title: Mon. Weather Rev.
  doi: 10.1175/2009MWR2976.1
  contributor:
    fullname: MS Gentry
– ident: 1473_CR3
  doi: 10.1029/2011JD016127
– volume: 46
  start-page: 884
  year: 2008
  ident: 1473_CR1
  publication-title: Geosci. Remote Sens.
  doi: 10.1109/TGRS.2008.917335
  contributor:
    fullname: W Bell
– ident: 1473_CR6
  doi: 10.1155/2015/956920
– volume: 38
  start-page: 4587
  issue: 16
  year: 2017
  ident: 1473_CR28
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2017.1323279
  contributor:
    fullname: SK Singh
– ident: 1473_CR30
– ident: 1473_CR18
– volume: 140
  start-page: 4017
  issue: 12
  year: 2012
  ident: 1473_CR13
  publication-title: Mon. Weather Rev.
  doi: 10.1175/MWR-D-12-00083.1
  contributor:
    fullname: Z Liu
– volume: 139
  start-page: 1199
  issue: 674
  year: 2013
  ident: 1473_CR4
  publication-title: Quart. J. Roy. Meteor. Soc.
  doi: 10.1002/qj.2023
  contributor:
    fullname: P de Rosnay
– volume-title: Benefits of assimilating SAPHIR observations on analysis and forecasts of tropical fields in the Met Office Global Model
  year: 2018
  ident: 1473_CR7
  doi: 10.1002/qj.3258
  contributor:
    fullname: A Doherty
– ident: 1473_CR11
  doi: 10.5194/angeo-33-805-2015
– ident: 1473_CR21
– volume: 137
  start-page: 1298
  year: 2011
  ident: 1473_CR16
  publication-title: Quart. J. Roy. Meteorol. Soc.
  doi: 10.1002/qj.834
  contributor:
    fullname: Q Lu
– ident: 1473_CR23
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Snippet Observing System Experiments (OSEs) were conducted to analyze the impact of assimilation of Megha-Tropique’s (MT) Sounder for Probing Vertical Profiles of...
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StartPage 209
SubjectTerms Assimilation
Bias
Channels
Cyclone tracks
Cyclones
Data assimilation
Earth and Environmental Science
Earth orbits
Earth Sciences
Frequency ranges
Humidity
Humidity profiles
Hurricanes
Impact analysis
Lead time
Low earth orbits
Medium-range forecasting
Ocean basins
Oceans
Satellite tracking
Satellites
Sea level pressure
Simulation
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Tropical cyclone intensities
Tropical cyclones
Vertical profiles
Weather forecasting
Title Impact of SAPHIR radiances on the simulation of tropical cyclones over the Bay of Bengal using NCMRWF hybrid-4DVAR assimilation and forecast system
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