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Tao Wang

Publications and source records attributed to Tao Wang.

14 records
All sourcesNASA NTRSDOE OSTI
NASA NTRS2020

Study of Antarctic Blowing Snow Storms Using MODIS and CALIOP Observations With a Machine Learning Model

As a common phenomenon over Antarctica, blowing snow (BLSN), especially the large BLSN storms, play an important role in the Antarctic surface mass balance, radiation budget, and planetary boundary layer processes. This study presents the work on BLSN storm identification and analysis with observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Spectral analysis shows that BLSN identification is feasible with MODIS daytime data. A random forest machine learning model is developed and observations from the Cloud‐Aerosol Lidar with Orthogonal Polarization are used for training. Model performance results show that machine‐learning based classification can achieve over 90% overall accuracy when classifying MODIS pixels into cloud, clear, and BLSN categories. The machine learning model is applied to MODIS observations during the month of October 2009 for BLSN storm analysis. Results show that the size of BLSN storms has a large spectrum and can reach hundreds of thousands km2. The MODIS based BLSN storm frequency map extends the Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observations coverage limit from 82°S to the South Pole. A BLSN storm belt, which extends from the South Pole region to the coastal area between 130°E and 160°E along the Transantarctic Mountains, provides a potential pathway of snow transport. These results are important in improving the understanding of BLSN impact on Antarctic surface mass balance and boundary layer processes.

Antarctic↗
NASA NTRS2019

Tropopause Laminar Cirrus and Its Role in the Lower Stratosphere Total Water Budget

Laminar cirrus are thin, extensive, isolated layers of ice clouds frequently observed in the tropical tropopause layer. Widespread laminar cirrus significantly affects tropical tropopause layer total water and thermal budget. In this study, we extract laminar cirrus from the Cloud‐Aerosol Lidar with Orthogonal Polarization Level 1 attenuated total backscatter images for January 2009, in order to characterize statistical properties of laminar cirrus cloud length, base, thickness, optical depth, and layer partial ice water path. These characteristics are used to develop an algorithm identifying laminar cirrus automatically from the Cloud‐Aerosol Lidar with Orthogonal Polarization Level 2 layer product for 2008–2017. The nearly 10‐year records reveal that tropopause laminar cirrus occurrence (30–40% of total cirrus) is strongly anticorrelated with the tropopause temperatures in that colder tropopause in frequent (super)saturation during boreal winter favors in situ formation of clouds. Interannually, anomalously warmer troposphere temperature (ΔT), easterly shear of the quasi‐biennial oscillation, and stronger upwelling branch of the Brewer‐Dobson circulation enhance laminar cirrus formation via cooling of the tropopause. The tropopause laminar cirrus carries ~0.05 mg/m(exp 3) (~0.5 ppmv) of ice water content during boreal winter and <0.01 mg/m(exp 3) during summer, which is anticorrelated with the seasonal variations of water vapor (H2O) observed by the Microwave Lime Sounder, indicating a temperature‐regulated partition between vapor and ice. Interannually, in cirrus‐rich region 1 ppmv decrease in H2O corresponds to 0.2–0.3 ppmv increase in ice water content. Frequently situated in (super)saturated air, tropopause laminar cirrus are likely to survive multiple lifecycles of the sublimation‐deposition processes, and may contribute up to 10% to the total water budget in the lower stratosphere. Satellites constantly observe thin, isolated, extensive layer of cirrus around the tropopause. The so‐called “laminar” cirrus occurrence and their ice amount are strongly regulated by temperature, such that colder temperatures favor more frequent (super)saturation, which results in more frequent laminar cirrus with more ice amount and therefore less water vapor. In this study we analyze laminar cirrus and water vapor from the Cloud‐Aerosol Lidar with Orthogonal Polarization and Microwave Lime Sounder observations, and hypothesize that laminar cirrus could act as an important transient water storage and contribute to the total water budget in the lower stratosphere.

Tao Wang↗
NASA NTRSDate not supplied

Hunga Tonga-Hunga Ha’apai Water Vapour and Composition of the Stratospheric Polar Vortices

We investigate the impacts of water vapor from the Hunga Tonga-Hunga Ha'apai (HTHH) eruption on the Antarctic stratospheric vortices in 2022 and 2023 and the Arctic stratospheric vortex in 2022/2023. Trace gas abundances from the Aura Microwave Limb Sounder (MLS) and the Modern Era Retrospective-analysis for Research and Applications (MERRA-2) Stratospheric Composition REanalysis with Aura MLS (M2-SCREAM), along with meteorological fields from the longer MERRA-2 record, are used to detail the evolution of the stratospheric polar vortex and its composition during these winter/spring seasons. Through austral winter and spring 2022, HTHH water vapor was effectively excluded from the Antarctic vortex until it broke up. The 2022 Antarctic vortex itself was large, strong, and long-lived, but not exceptionally so. By austral fall 2023, HTHH stratospheric water vapor had spread globally, and Antarctic vortex values in the lower through middle stratosphere were over 2 ppmv higher than usual when the vortex formed; these record-shattering water vapor concentrations led to earlier polar stratospheric cloud formation and chlorine activation, especially at levels that are typically the highest altitudes for polar processing. In the 2022/2023 Arctic winter/spring, HTHH water vapor reached the Arctic vortex region after the vortex had formed and was largely excluded until a major sudden stratospheric warming in mid-February 2023 eroded the vortex and mixed midlatitude and vortex air throughout the hemisphere.

Gloria L Manney↗
NASA NTRSDate not supplied

Newly Available Single Field-of-view Sounder Atmospheric Product (SiFSAP) and Its Derivative Product

The Single Field-of-view Sounder Atmospheric product (SiFSAP) has been developed and delivered to NASA GES DISC. The SiFSAP Algorithm Theoretical Basis Documents (ATBD) and users manuals are ready to be released to public. This novel data product supplements other operational products such as AIRS version 7 and the Community Long-term Infrared Microwave Combined Atmospheric Product System (CLIMCAPS) from two main perspectives: 1) improving the spatial resolution of sounder Level-2 data to extend its usage in weather and dynamics focus area; 2) establishing radiance closure between Level-2 data and directly measured Level-1 radiances to facilitate the climate trend analysis. SiFSAP has 3-times higher spatial resolution and 9-times denser data products comparing to current NASA and NOAA operational IR sounder products. SiFSAP is derived using the optimal estimation method based physical retrieval algorithm. The Principal Component-based Radiative Transfer Model (PCRTM) which includes the cloud scattering simulation is used for the forward model so that the solution can fit the spectral radiances under all-sky conditions for individual single field-of-view (SFOV) measurements. A general introduction of the SiFSAP algorithm and corresponding validation work will be presented. Also introduced here is the Climate Fingerprinting Sounder product (ClimFiSP) that is the derivative product of SiFSAP and will be released in the near future. The ClimFiSP algorithm uses pre-constructed fingerprinting relationship to achieve a low-latency Level-3 data production and facilitate the fusion of data of different sounders.

Wan Wu↗
NASA NTRSDate not supplied

Hunga Tonga-Hunga Ha’apai Water Vapour and Composition of the Stratospheric Polar Vortices

We investigate the impacts of water vapor from the Hunga Tonga-Hunga Ha'apai (HTHH) eruption on the Antarctic stratospheric vortices in 2022 and 2023 and the Arctic stratospheric vortex in 2022/2023. Trace gas abundances from the Aura Microwave Limb Sounder (MLS) and the Modern Era Retrospective-analysis for Research and Applications (MERRA-2) Stratospheric Composition REanalysis with Aura MLS (M2-SCREAM), along with meteorological fields from the longer MERRA-2 record, are used to detail the evolution of the stratospheric polar vortex and its composition during these winter/spring seasons. Through austral winter and spring 2022, HTHH water vapor was effectively excluded from the Antarctic vortex until it broke up. The 2022 Antarctic vortex itself was large, strong, and long-lived, but not exceptionally so. By austral fall 2023, HTHH stratospheric water vapor had spread globally, and Antarctic vortex values in the lower through middle stratosphere were over 2 ppmv higher than usual when the vortex formed; these record-shattering water vapor concentrations led to earlier polar stratospheric cloud formation and chlorine activation, especially at levels that are typically the highest altitudes for polar processing. In the 2022/2023 Arctic winter/spring, HTHH water vapor reached the Arctic vortex region after the vortex had formed and was largely excluded until a major sudden stratospheric warming in mid-February 2023 eroded the vortex and mixed midlatitude and vortex air throughout the hemisphere.

Gloria L Manney↗
NASA NTRSDate not supplied

Hyperspectral Sounder Spectral Fingerprinting: Using Machine Learning Techniques to Enhance Model-Based Physical Inversion

Different retrieval algorithms have been developed to process top-of-atmosphere (TOA) spectral radiance data provided by hyperspectral infrared sounder missions. Those algorithms are either optimal estimation method (OEM) based schemes with radiative transfer calculation involved in the retrieval process, or machine learning based methods that allow ultra-efficient data procession but lack of radiometric consistency validation based on the directly measured information. Combining both approaches leverages their respective technical advantages, leading to more accurate results. This study introduces a hyperspectral sounder fingerprinting algorithm to explore this hybrid approach. This approach involves the use of a spectral information-based classification method to identify an reference geophysical state and the corresponding radiative kernel. This enables the efficient retrieval of geophysical variables of interest through a radiative kernel-based linear inversion procedure. The fingerprinting method has been applied to analyze a decade-long hyperspectral sounder data record.

Wan Wu↗