Retrieval of temperature profiles in tropical cyclone Nanmadol from resampled advanced technology microwave sounder observations
In the past, satellite microwave sounding data are often utilized for retrieving the thermal structure of tropical cyclones (TCs). However, the spatial resolutions and scan pattern of the instruments vary from one to another and can affect the retrievals of TC structures. In this study, Backus-Gilbe...
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| Vydané v: | Remote sensing of environment Ročník 304; s. 114068 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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01.04.2024
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| ISSN: | 0034-4257, 1879-0704 |
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| Abstract | In the past, satellite microwave sounding data are often utilized for retrieving the thermal structure of tropical cyclones (TCs). However, the spatial resolutions and scan pattern of the instruments vary from one to another and can affect the retrievals of TC structures. In this study, Backus-Gilbert Inversion (BGI), ATOVS and AVHRR Pre-processing Package (AAPP) filter and N × N field-of-views (FOVs) average algorithms are utilized to resample the Advanced Technology Microwave Sounder (ATMS) data and the impacts from different resampling algorithms on brightness temperature structures and retrieved atmospheric temperature are analyzed. It is shown that for ATMS channel 1 to 2, the larger differences between original and resampled brightness temperatures are found in cloudy areas and at the land-ocean boundary. When ATMS channels 1–16 data are resampled to the AMSU-like resolution, the brightness temperatures become less noisy at channel 3 to 16 and can lead to a higher convergence rate in the one-dimension variational (1DVAR) algorithm. Furthermore, the warm core intensity of a tropical storm of Nanmadol is reduced by about 2.5 K and its size becomes smaller after the ATMS data is resampled to the AMSU resolution.
•Utilization of different algorithms for resampling ATMS data•Impact of resampling on brightness temperature structures•Effect of resampling on the retrieval of temperature profiles in tropical cyclones |
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| AbstractList | In the past, satellite microwave sounding data are often utilized for retrieving the thermal structure of tropical cyclones (TCs). However, the spatial resolutions and scan pattern of the instruments vary from one to another and can affect the retrievals of TC structures. In this study, Backus-Gilbert Inversion (BGI), ATOVS and AVHRR Pre-processing Package (AAPP) filter and N × N field-of-views (FOVs) average algorithms are utilized to resample the Advanced Technology Microwave Sounder (ATMS) data and the impacts from different resampling algorithms on brightness temperature structures and retrieved atmospheric temperature are analyzed. It is shown that for ATMS channel 1 to 2, the larger differences between original and resampled brightness temperatures are found in cloudy areas and at the land-ocean boundary. When ATMS channels 1–16 data are resampled to the AMSU-like resolution, the brightness temperatures become less noisy at channel 3 to 16 and can lead to a higher convergence rate in the one-dimension variational (1DVAR) algorithm. Furthermore, the warm core intensity of a tropical storm of Nanmadol is reduced by about 2.5 K and its size becomes smaller after the ATMS data is resampled to the AMSU resolution. In the past, satellite microwave sounding data are often utilized for retrieving the thermal structure of tropical cyclones (TCs). However, the spatial resolutions and scan pattern of the instruments vary from one to another and can affect the retrievals of TC structures. In this study, Backus-Gilbert Inversion (BGI), ATOVS and AVHRR Pre-processing Package (AAPP) filter and N × N field-of-views (FOVs) average algorithms are utilized to resample the Advanced Technology Microwave Sounder (ATMS) data and the impacts from different resampling algorithms on brightness temperature structures and retrieved atmospheric temperature are analyzed. It is shown that for ATMS channel 1 to 2, the larger differences between original and resampled brightness temperatures are found in cloudy areas and at the land-ocean boundary. When ATMS channels 1–16 data are resampled to the AMSU-like resolution, the brightness temperatures become less noisy at channel 3 to 16 and can lead to a higher convergence rate in the one-dimension variational (1DVAR) algorithm. Furthermore, the warm core intensity of a tropical storm of Nanmadol is reduced by about 2.5 K and its size becomes smaller after the ATMS data is resampled to the AMSU resolution. •Utilization of different algorithms for resampling ATMS data•Impact of resampling on brightness temperature structures•Effect of resampling on the retrieval of temperature profiles in tropical cyclones |
| ArticleNumber | 114068 |
| Author | Li, Wenyu Weng, Fuzhong |
| Author_xml | – sequence: 1 givenname: Wenyu surname: Li fullname: Li, Wenyu organization: Chinese Academy of Meteorological Sciences, Beijing, China – sequence: 2 givenname: Fuzhong surname: Weng fullname: Weng, Fuzhong email: fweng58@gmail.com organization: CMA Earth System Modeling and Prediction Centre, Beijing, China |
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| Cites_doi | 10.1002/2013JD020483 10.3390/rs14133171 10.3390/rs14051078 10.1175/1520-0477(2000)081<1241:SAOTCU>2.3.CO;2 10.1175/1520-0493(2003)131<0687:SBTCIE>2.0.CO;2 10.1007/s00376-019-9170-2 10.1155/2015/956920 10.1175/JAS-D-19-0017.1 10.1029/2018JD028934 10.1109/TGRS.2014.2310702 10.1109/36.964979 10.1175/1520-0434(2000)015<0476:AEOTSD>2.0.CO;2 10.1109/TGRS.2020.3034262 10.1109/TGRS.2011.2158438 10.1175/MWR-D-11-00183.1 10.1175/JAS3596.1 10.3390/rs11070771 10.3390/rs12040672 10.1111/j.1365-246X.1968.tb00216.x 10.1175/JAS-D-11-010.1 10.1016/j.jqsrt.2020.107043 10.1175/1520-0493(2002)130<2416:IOTAMS>2.0.CO;2 10.1109/LGRS.2018.2807763 10.1002/jgrd.50840 10.1002/2017JD026820 10.1002/grl.50626 10.1109/TAP.1978.1141919 10.3390/rs14122781 10.1007/s13351-018-8005-x 10.1002/2013JD020399 10.1007/s00376-017-6255-7 10.1098/rsta.1970.0005 10.1175/MWR-D-16-0172.1 10.1109/TGRS.2009.2013635 |
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| Keywords | Microwave sounding One-dimension variational (1DVAR) retrieval Resampling Tropical cyclone (TC) |
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Geophys. Res. |
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| Title | Retrieval of temperature profiles in tropical cyclone Nanmadol from resampled advanced technology microwave sounder observations |
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