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...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2022-07, Vol.14 (13), p.3189
Main Authors: Esmaili, Rebekah, Barnet, Christopher, Dunion, Jason, Folmer, Michael, Zawislak, Jonathan
Format: Article
Language:English
Subjects:
Aircraft
Algorithms
Clouds
Collaboration
Content analysis
Cyclones
Dropsondes
Experiments
Feasibility studies
Forecasting
Meteorological satellites
Mixing ratio
operational forecasting
real time
Retrieval
Root-mean-square errors
Satellite observation
satellite sounding
Satellite tracking
Software
Software development tools
tropical cyclone
Tropical cyclones
Troposphere
Variables
Water vapor
Weather
Weather forecasting
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Summary: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14133189