Observed Atmospheric Features for the 2022 Hunga Tonga Volcanic Eruption from Joint Polar Satellite System Science Data Products

The Joint Polar Satellite System (JPSS) mission has provided over ten years of high-quality data products for environment forecasting and monitoring through the current Suomi National Polar-orbiting Partnership (S-NPP) and NOAA-20 satellites. Particularly, the sensor data record (SDR) and the derived environmental data record (EDR) products from the Visible Infrared Imaging Radiometer Suite (VIIRS), the Cross-track Infrared Sounder (CrIS), the Advanced Technology Microwave Sounder (ATMS), and the Ozone Mapping and Profiler Suite (OMPS) offer an unprecedented opportunity to observe severe weather and environmental events over the Earth. This paper presents the observations about atmospheric features of the Hunga Tonga Volcanic eruption of January 2022, e.g., the gravity wave, volcanic cloud, and aerosol (sulfate) plume phenomena, by using the ATMS, CrIS, OMPS, and VIIRS SDR and EDR products. Powerful gravity waves ringing through the atmosphere after the eruption of the Hunga Tonga volcano are discovered at two CrIS upper sounding channels (670 cm−1 and 2320 cm−1) in the deviations of the observed brightness temperature (O) from the simulated baseline brightness temperature (B) using the Community Radiative Transfer Model (CRTM), i.e., O—B. A similar pattern is also observed in the ATMS global maps at channel 15, whose peak weighting function is around 40 km, showing the atmospheric disturbance caused by the eruption that reached 40 km above the surface. The Tonga volcanic cloud (plume) was also captured by the OMPS SO2 EDR product. The gravity wave features were also captured in the native resolution image of the S-NPP VIIRS I-5 band nighttime observations. In addition, the VIIRS Aerosol Optical Depth (AOD) captured and tracked the volcanic aerosol (sulfate) plume successfully. These discoveries demonstrate the scientific potential of the JPSS SDR and EDR products in monitoring and tracking the eruption of the Hunga Tonga volcano and its severe environmental impacts. This paper presents the atmospheric features of the Hunga Tonga volcano eruption that is uniquely captured by all four advanced sensors onboard JPSS satellites, with different spectral coverages and spatial resolutions.

[1]  S. Proud,et al.  The January 2022 eruption of Hunga Tonga-Hunga Ha’apai volcano reached the mesosphere , 2022, Science.

[2]  Hui Su,et al.  The Hunga Tonga‐Hunga Ha'apai Hydration of the Stratosphere , 2022, Geophysical research letters.

[3]  C. Clerbaux,et al.  Surface-to-space atmospheric waves from Hunga Tonga–Hunga Ha’apai eruption , 2022, Nature.

[4]  N. Shapiro,et al.  Rapid Characterization of Large Volcanic Eruptions: Measuring the Impulse of the Hunga Tonga Ha’apai Explosion From Teleseismic Waves , 2022, Geophysical Research Letters.

[5]  Dong L. Wu,et al.  Stereo Plume Height and Motion Retrievals for the Record‐Setting Hunga Tonga‐Hunga Ha'apai Eruption of 15 January 2022 , 2022, Geophysical Research Letters.

[6]  R. Kahn,et al.  La Soufriere Volcanic Eruptions Launched Gravity Waves Into Space , 2022, Geophysical Research Letters.

[7]  K. Mandli,et al.  Under the Surface: Pressure-Induced Planetary-Scale Waves, Volcanic Lightning, and Gaseous Clouds Caused by the Submarine Eruption of Hunga Tonga-Hunga Ha’apai Volcano Provide an Excellent Research Opportunity , 2022, Earthquake Research Advances.

[8]  G. Harrison Pressure anomalies from the January 2022 Hunga Tonga‐Hunga Ha'apai eruption , 2022, Weather.

[9]  A. Witze Why the Tongan eruption will go down in the history of volcanology , 2022, Nature.

[10]  Curtis J. Seaman,et al.  Honing in on bioluminescent milky seas from space , 2021, Scientific Reports.

[11]  Lawrence E. Flynn,et al.  Evaluation and Improvement of the Near-Real-Time Linear Fit SO2 Retrievals From Suomi NPP Ozone Mapping and Profiler Suite , 2021, IEEE Trans. Geosci. Remote. Sens..

[12]  M. Pavolonis,et al.  Probabilistic retrieval of volcanic SO2 layer height and partial column density using the Cross-track Infrared Sounder (CrIS) , 2020 .

[13]  Da‐Lin Zhang,et al.  Gap Filling of Advanced Technology Microwave Sounder Data as Applied to Hurricane Warm Core Animations , 2020, Earth and Space Science.

[14]  S. Miller,et al.  Dynamical Coupling Between Hurricane Matthew and the Middle to Upper Atmosphere via Gravity Waves , 2019, Journal of Geophysical Research: Space Physics.

[15]  Lihang Zhou,et al.  An Overview of the Science Performances and Calibration/Validation of Joint Polar Satellite System Operational Products , 2019, Remote. Sens..

[16]  Yong Chen,et al.  Calibration Algorithm for Cross-Track Infrared Sounder Full Spectral Resolution Measurements , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Christopher D. Barnet,et al.  Validation of Atmospheric Profile Retrievals From the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 1: Temperature and Moisture , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Christopher D. Barnet,et al.  Validation of Atmospheric Profile Retrievals from the SNPP NOAA-Unique Combined Atmospheric Processing System. Part 2: Ozone , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Bradley Zavodsky,et al.  A 1DVAR‐based snowfall rate retrieval algorithm for passive microwave radiometers , 2017 .

[20]  Hongqing Liu,et al.  An enhanced VIIRS aerosol optical thickness (AOT) retrieval algorithm over land using a global surface reflectance ratio database , 2016 .

[21]  Brent N. Holben,et al.  Validation and expected error estimation of Suomi‐NPP VIIRS aerosol optical thickness and Ångström exponent with AERONET , 2016 .

[22]  Lihang Zhou,et al.  An Overview of the Joint Polar Satellite System (JPSS) Science Data Product Calibration and Validation , 2016, Remote. Sens..

[23]  Steven D. Miller,et al.  User Validation of VIIRS Satellite Imagery , 2015, Remote. Sens..

[24]  Steven D. Miller,et al.  An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band , 2015 .

[25]  Jia Yue,et al.  Upper atmospheric gravity wave details revealed in nightglow satellite imagery , 2015, Proceedings of the National Academy of Sciences.

[26]  Steven D. Miller,et al.  Multisensor profiling of a concentric gravity wave event propagating from the troposphere to the ionosphere , 2015 .

[27]  Menghua Wang,et al.  Evaluation of VIIRS ocean color products , 2014, Asia-Pacific Environmental Remote Sensing.

[28]  Changyong Cao,et al.  Quantitative Analysis of VIIRS DNB Nightlight Point Source for Light Power Estimation and Stability Monitoring , 2014, Remote. Sens..

[29]  S. Miller,et al.  Stratospheric and mesospheric concentric gravity waves over tropical cyclone Mahasen: Joint AIRS and VIIRS satellite observations , 2014 .

[30]  C. Long,et al.  Performance of the Ozone Mapping and Profiler Suite (OMPS) products , 2014 .

[31]  Alexander Ignatov,et al.  Evaluation and selection of SST regression algorithms for JPSS VIIRS , 2014 .

[32]  C. Justice,et al.  Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results , 2014 .

[33]  Quanhua Liu,et al.  Community Radiative Transfer Model (CRTM) applications in supporting the Suomi National Polar-orbiting Partnership (SNPP) mission validation and verification , 2014 .

[34]  J. Key,et al.  Snow and ice products from Suomi NPP VIIRS , 2013 .

[35]  Steven D. Miller,et al.  Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band , 2013, Remote. Sens..

[36]  Denis Tremblay,et al.  Suomi NPP CrIS measurements, sensor data record algorithm, calibration and validation activities, and record data quality , 2013 .

[37]  Shepard A. Clough,et al.  A physical approach for a simultaneous retrieval of sounding, surface, hydrometeor, and cryospheric parameters from SNPP/ATMS , 2013 .

[38]  Tomoaki Miura,et al.  An initial assessment of Suomi NPP VIIRS vegetation index EDR , 2013 .

[39]  Xi Shao,et al.  Suomi NPP VIIRS sensor data record verification, validation, and long‐term performance monitoring , 2013 .

[40]  Donald W. Hillger,et al.  First-Light Imagery from Suomi NPP VIIRS , 2013 .

[41]  Michael J. Pavolonis,et al.  Automated retrievals of volcanic ash and dust cloud properties from upwelling infrared measurements , 2013 .

[42]  Wanchun Chen,et al.  MiRS: An All-Weather 1DVAR Satellite Data Assimilation and Retrieval System , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Steven D. Miller,et al.  NPOESS: Next-Generation Operational Global Earth Observations , 2010 .