Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting
Tropical cyclones can form over open ocean where in situ observations are limited, so forecasters rely on satellite observations to monitor their development and track. We explore the utility of an operational satellite sounding product for tropical forecasting by characterizing the products retriev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/13/3189 |
| _version_ | 1797434015297306624 |
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| author | Rebekah Esmaili Christopher Barnet Jason Dunion Michael Folmer Jonathan Zawislak |
| author_facet | Rebekah Esmaili Christopher Barnet Jason Dunion Michael Folmer Jonathan Zawislak |
| author_sort | Rebekah Esmaili |
| collection | DOAJ |
| description | Tropical cyclones can form over open ocean where in situ observations are limited, so forecasters rely on satellite observations to monitor their development and track. We explore the utility of an operational satellite sounding product for tropical forecasting by characterizing the products retrieval skill during research flights. Scientists from both the NOAA-Unique Combined Atmospheric Processing System (NUCAPS) research team and tropical cyclone communities collaborated to target relevant tropical cyclones during the campaign. This effort produced 130 dropsondes that are well-timed with satellite sounder overpasses over three different tropical cyclones and one Saharan Air Layer outbreak. For the combined infrared and microwave retrieval, the NUCAPS temperature has a root mean square error (RMSE) of 1.2 K near the surface (1000–600 mb) and 0.8 K in the mid-troposphere (600–300 mb), which is in line with global product requirements. The water vapor mixing ratio RMSE was 26% near the surface and 46% in the mid-troposphere. NUCAPS microwave-only retrievals can also be useful for cloudy scenes, with surface RMSE values of 4 K (temperature) and 23% (water vapor). Using information content analysis, we estimated that the vertical resolution near the surface was 1.7 km for the temperature retrievals and 2.2 km for the water vapor retrievals in this study. We discuss the feasibility of implementing NUCAPS in an operational forecasting setting, which requires rapid data delivery to forecaster software tools. |
| first_indexed | 2024-03-09T10:25:15Z |
| format | Article |
| id | doaj.art-6b9f38f2816c4eac9e5ed211981c0cab |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T10:25:15Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-6b9f38f2816c4eac9e5ed211981c0cab2023-12-01T21:41:03ZengMDPI AGRemote Sensing2072-42922022-07-011413318910.3390/rs14133189Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational ForecastingRebekah Esmaili0Christopher Barnet1Jason Dunion2Michael Folmer3Jonathan Zawislak4Science and Technology Corporation, Columbia, MD 21046, USAScience and Technology Corporation, Columbia, MD 21046, USANOAA/Atlantic Oceanographic and Meteorological Laboratory, Hurricane Research Division, Miami, FL 33149, USANOAA/Ocean Prediction Center, College Park, MD 20740, USANOAA/Atlantic Oceanographic and Meteorological Laboratory, Hurricane Research Division, Miami, FL 33149, USATropical cyclones can form over open ocean where in situ observations are limited, so forecasters rely on satellite observations to monitor their development and track. We explore the utility of an operational satellite sounding product for tropical forecasting by characterizing the products retrieval skill during research flights. Scientists from both the NOAA-Unique Combined Atmospheric Processing System (NUCAPS) research team and tropical cyclone communities collaborated to target relevant tropical cyclones during the campaign. This effort produced 130 dropsondes that are well-timed with satellite sounder overpasses over three different tropical cyclones and one Saharan Air Layer outbreak. For the combined infrared and microwave retrieval, the NUCAPS temperature has a root mean square error (RMSE) of 1.2 K near the surface (1000–600 mb) and 0.8 K in the mid-troposphere (600–300 mb), which is in line with global product requirements. The water vapor mixing ratio RMSE was 26% near the surface and 46% in the mid-troposphere. NUCAPS microwave-only retrievals can also be useful for cloudy scenes, with surface RMSE values of 4 K (temperature) and 23% (water vapor). Using information content analysis, we estimated that the vertical resolution near the surface was 1.7 km for the temperature retrievals and 2.2 km for the water vapor retrievals in this study. We discuss the feasibility of implementing NUCAPS in an operational forecasting setting, which requires rapid data delivery to forecaster software tools.https://www.mdpi.com/2072-4292/14/13/3189tropical cyclonesatellite soundingreal timeoperational forecasting |
| spellingShingle | Rebekah Esmaili Christopher Barnet Jason Dunion Michael Folmer Jonathan Zawislak Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting Remote Sensing tropical cyclone satellite sounding real time operational forecasting |
| title | Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting |
| title_full | Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting |
| title_fullStr | Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting |
| title_full_unstemmed | Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting |
| title_short | Evaluating Satellite Sounders for Monitoring the Tropical Cyclone Environment in Operational Forecasting |
| title_sort | evaluating satellite sounders for monitoring the tropical cyclone environment in operational forecasting |
| topic | tropical cyclone satellite sounding real time operational forecasting |
| url | https://www.mdpi.com/2072-4292/14/13/3189 |
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