A Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVAR

Handle URI:
http://hdl.handle.net/10754/594159
Title:
A Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVAR
Authors:
Viswanadhapalli, Yesubabu; Srinivas, C. V.; Hariprasad, K. B R R; Baskaran, R.
Abstract:
In this work, the impact of assimilation of conventional and satellite remote sensing observations (Oceansat-2 winds, MODIS temperature/humidity profiles) is studied on the simulation of two tropical cyclones in the Bay of Bengal region of the Indian Ocean using a three-dimensional variational data assimilation (3DVAR) technique. The Weather Research and Forecasting (WRF)-Advanced Research WRF (ARW) mesoscale model is used to simulate the severe cyclone JAL: 5–8 November 2010 and the very severe cyclone THANE: 27–30 December 2011 with a double nested domain configuration and with a horizontal resolution of 27 × 9 km. Five numerical experiments are conducted for each cyclone. In the control run (CTL) the National Centers for Environmental Prediction global forecast system analysis and forecasts available at 50 km resolution were used for the initial and boundary conditions. In the second (VARAWS), third (VARSCAT), fourth (VARMODIS) and fifth (VARALL) experiments, the conventional surface observations, Oceansat-2 ocean surface wind vectors, temperature and humidity profiles of MODIS, and all observations were respectively used for assimilation. Results indicate meager impact with surface observations, and relatively higher impact with scatterometer wind data in the case of the JAL cyclone, and with MODIS temperature and humidity profiles in the case of THANE for the simulation of intensity and track parameters. These relative impacts are related to the area coverage of scatterometer winds and MODIS profiles in the respective storms, and are confirmed by the overall better results obtained with assimilation of all observations in both the cases. The improvements in track prediction are mainly contributed by the assimilation of scatterometer wind vector data, which reduced errors in the initial position and size of the cyclone vortices. The errors are reduced by 25, 21, 38 % in vector track position, and by 57, 36, 39 % in intensity, at 24, 48, 72 h predictions, respectively, for the two cases using assimilation of all observations. Simulated rainfall estimates indicate that while the assimilation of scatterometer wind data improves the location of the rainfall, the assimilation of MODIS profiles produces a realistic pattern and amount of rainfall, close to the observational estimates.
KAUST Department:
Earth Science and Engineering Program
Citation:
Yesubabu V, Srinivas CV, Hariprasad KBRR, Baskaran R (2013) A Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVAR. Pure Appl Geophys 171: 2023–2042. Available: http://dx.doi.org/10.1007/s00024-013-0741-3.
Publisher:
Springer Nature
Journal:
Pure and Applied Geophysics
Issue Date:
8-Dec-2013
DOI:
10.1007/s00024-013-0741-3
Type:
Article
ISSN:
0033-4553; 1420-9136
Sponsors:
The authors sincerely thank Sri. Satyamurty Director, EIRSG, Dr. B. Venkatrman, AD, RSEG for their encouragement in carrying out the study. The first author acknowledges the Space Applications Centre, Ahmedabad for the award of the Junior Research Fellowship under the MeghaTropiques-Utilization Project. The WRF-ARW model was obtained from NCAR. The NCEP GFS analysis was available from NCEP. The ASCAT data were obtained from EUMETSAT. The OCEANSAT-2 data were obtained from NRSC, ISRO. The authors thank IMD for providing synoptic chart, AWS Data and DWR pictures. TRMM 3B42 estimates downloaded from http://trmm.gsfc.nasa.gov. The authors express sincere thanks to the anonymous reviewers for the technical comments, which helped for the improvement of the manuscript.
Appears in Collections:
Articles; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorViswanadhapalli, Yesubabuen
dc.contributor.authorSrinivas, C. V.en
dc.contributor.authorHariprasad, K. B R Ren
dc.contributor.authorBaskaran, R.en
dc.date.accessioned2016-01-19T13:22:54Zen
dc.date.available2016-01-19T13:22:54Zen
dc.date.issued2013-12-08en
dc.identifier.citationYesubabu V, Srinivas CV, Hariprasad KBRR, Baskaran R (2013) A Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVAR. Pure Appl Geophys 171: 2023–2042. Available: http://dx.doi.org/10.1007/s00024-013-0741-3.en
dc.identifier.issn0033-4553en
dc.identifier.issn1420-9136en
dc.identifier.doi10.1007/s00024-013-0741-3en
dc.identifier.urihttp://hdl.handle.net/10754/594159en
dc.description.abstractIn this work, the impact of assimilation of conventional and satellite remote sensing observations (Oceansat-2 winds, MODIS temperature/humidity profiles) is studied on the simulation of two tropical cyclones in the Bay of Bengal region of the Indian Ocean using a three-dimensional variational data assimilation (3DVAR) technique. The Weather Research and Forecasting (WRF)-Advanced Research WRF (ARW) mesoscale model is used to simulate the severe cyclone JAL: 5–8 November 2010 and the very severe cyclone THANE: 27–30 December 2011 with a double nested domain configuration and with a horizontal resolution of 27 × 9 km. Five numerical experiments are conducted for each cyclone. In the control run (CTL) the National Centers for Environmental Prediction global forecast system analysis and forecasts available at 50 km resolution were used for the initial and boundary conditions. In the second (VARAWS), third (VARSCAT), fourth (VARMODIS) and fifth (VARALL) experiments, the conventional surface observations, Oceansat-2 ocean surface wind vectors, temperature and humidity profiles of MODIS, and all observations were respectively used for assimilation. Results indicate meager impact with surface observations, and relatively higher impact with scatterometer wind data in the case of the JAL cyclone, and with MODIS temperature and humidity profiles in the case of THANE for the simulation of intensity and track parameters. These relative impacts are related to the area coverage of scatterometer winds and MODIS profiles in the respective storms, and are confirmed by the overall better results obtained with assimilation of all observations in both the cases. The improvements in track prediction are mainly contributed by the assimilation of scatterometer wind vector data, which reduced errors in the initial position and size of the cyclone vortices. The errors are reduced by 25, 21, 38 % in vector track position, and by 57, 36, 39 % in intensity, at 24, 48, 72 h predictions, respectively, for the two cases using assimilation of all observations. Simulated rainfall estimates indicate that while the assimilation of scatterometer wind data improves the location of the rainfall, the assimilation of MODIS profiles produces a realistic pattern and amount of rainfall, close to the observational estimates.en
dc.description.sponsorshipThe authors sincerely thank Sri. Satyamurty Director, EIRSG, Dr. B. Venkatrman, AD, RSEG for their encouragement in carrying out the study. The first author acknowledges the Space Applications Centre, Ahmedabad for the award of the Junior Research Fellowship under the MeghaTropiques-Utilization Project. The WRF-ARW model was obtained from NCAR. The NCEP GFS analysis was available from NCEP. The ASCAT data were obtained from EUMETSAT. The OCEANSAT-2 data were obtained from NRSC, ISRO. The authors thank IMD for providing synoptic chart, AWS Data and DWR pictures. TRMM 3B42 estimates downloaded from http://trmm.gsfc.nasa.gov. The authors express sincere thanks to the anonymous reviewers for the technical comments, which helped for the improvement of the manuscript.en
dc.publisherSpringer Natureen
dc.subject3DVARen
dc.subjectobservation assimilationen
dc.subjectTropical cyclonesen
dc.subjectWRF-ARWen
dc.titleA Study on the Impact of Observation Assimilation on the Numerical Simulation of Tropical Cyclones JAL and THANE Using 3DVARen
dc.typeArticleen
dc.contributor.departmentEarth Science and Engineering Programen
dc.identifier.journalPure and Applied Geophysicsen
dc.contributor.institutionRadiological Safety and Environment Group, Indira Gandhi Centre for Atomic ResearchKalpakkam, Indiaen
kaust.authorViswanadhapalli, Yesubabuen
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