Retrieval of Atmospheric Thermodynamic State From Synergistic Use of Radio Occultation and Hyperspectral Infrared Radiances Observations

Liu, Chian‐Yi; Li, Jun; Ho, Shu‐Peng; Liu, Gin-Rong; Lin, Tang-Huang; Young, Chih-Chieh

doi:10.1109/jstars.2015.2444274

Cited by 17 publications

(16 citation statements)

References 39 publications

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“…The virtual wind was assimilated in the WRF model in this study but the atmospheric temperature and moisture soundings were not included. With the recent atmospheric profile retrieval algorithm enhancement, e.g., Liu et al (2014Liu et al ( , 2016, the detailed SW monsoon circulation and flow pattern description is strengthened. These factors may lead to more realistic case studies to discover more solid SW monsoon effects.…”

Section: Resultsmentioning

confidence: 99%

Monsoon effect simulation on typhoon rainfall potential - Typhoon Morakot (2009)

Chang

Yeh

Liu³

et al. 2017

Terr. Atmos. Ocean. Sci.

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A record breaking extreme precipitation event produced 3000 mm day -1 of accumulated rainfall over southern Taiwan in August 2009. The interactions between Typhoon Morakot and the prevailing southwesterly (SW) monsoon are the primary mechanism for this heavy precipitation during 5 -13 August 2009. This extreme precipitation could be produced by the abundant moisture from the SW monsoon associated with the interaction between typhoon and monsoon wind fields, leading to severe property damage. The accurate mapping of extreme precipitation caused from the interaction between a monsoon and typhoon is critical for early warning in Taiwan. This study simulates the heavy rainfall event is based on the Weather Research and Forecast system model (WRF) using the three nested domain configuration. Using data assimilation with a virtual meteorological field using the 3D-Var system, such as wind field to alter the SW monsoon strength in the initial condition, the impacts of intensified convergence and water vapor content on the accumulated rainfall are analyzed to quantize the intensification of typhoon rainfall potential. The results showed a positive correlation between the enhanced precipitation and the intensity of low-level wind speed convergence as well as water vapor content. For the Typhoon Morakot case study the rainfall for could attain approximately 2 × 10 4 mm at 6 hours interval in the southern Taiwan area when 10 × 10 -6 s -1 convergence intensified at 850 hPa level around the southern part of the Taiwan Strait. These results suggest that low-level wind speed, convergence and water vapor content play key roles in the typhoon rainfall potential coupled with the SW monsoon.

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Section: Resultsmentioning

confidence: 99%

Monsoon effect simulation on typhoon rainfall potential - Typhoon Morakot (2009)

Chang

Yeh

Liu³

et al. 2017

Terr. Atmos. Ocean. Sci.

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“…The updated fast and accurate AIRS transmittance model (Standard Alone AIRS-Radiance Transfer Algorithm package-SARTA [47]) is served as an AIRS forward operator. The configurations of background covariance matrix, error covariance matrix, and a priori used in the concurrent RO-AIRS retrieval are detailed in [48] and are not further descripted here.…”

Section: Ro-airs Inversion Algorithmmentioning

confidence: 99%

Global Water Vapor Estimates from Measurements from Active GPS RO Sensors and Passive Infrared and Microwave Sounders

Ho¹,

Liang²

2018

Green Chemistry [Working Title]

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Water vapor plays an important role in both climate change processes and atmospheric chemistry and photochemistry. Global water vapor vertical profile can be derived from satellite infrared and microwave sounders. However, no single remote sensing technique is capable of completely fulfilling the needs for numerical weather prediction, chemistry, and climate studies in terms of vertical resolution, spatial and temporal coverage, and accuracy. In addition to the passive infrared and microwave sounder observations, the active global positioning system (GPS) radio occultation (RO) technique can also provide all-weather temperature and moisture profiles. In this chapter, we describe the current developments of global water vapor vertical profile and total precipitable water derived from active GPS RO measurements. In addition, we also demonstrate the potential improvement of global water vapor estimates using combined active GPS RO and passive IR/MW particularly from Atmospheric InfraRed Sounder (AIRS) and Advanced Technology Microwave Sounder (ATMS) measurements. Results show that because RO data are very sensitive to water vapor variation in the moisture rich troposphere, the RO data are able to provide extra water vapor information for the combined AIRS/ATMS and RO retrievals in the lower troposphere.

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“…The MODIS has 36 spectral channels with wavelengths including the visible, near-infrared, and infrared regions. The MODIS data have been used and their benefits have been demonstrated for environmental applications such as monitoring and predicting weather and climate (e.g., [18][19][20][21]). Abundant MODIS-derived products are available for atmospheric, oceanic, and land applications, among which AOD is the most relevant to air quality studies.…”

Section: Satellite Datamentioning

confidence: 99%

“…Because the NASA EOS Terra satellite is polar orbiting, and MOD04 data are only available in the daytime, one MODIS granule covers Taiwan per day. We followed a precise collocation technique, which considered the criteria spatially and temporally at 10 km and 1 h, respectively, as used in [21] and [26], to obtain the matched AOD-PM 2.5 data set. Among the collected satellite and ground measurement data, 399 data sets were matched successfully.…”

Section: Aod-pm 25 Modelmentioning

confidence: 99%

Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases

Liu

Mong

et al. 2016

Remote Sensing

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Abstract:Respiratory diseases, particularly allergic rhinitis, are spatially and temporally correlated with the ground PM 2.5 level. A study of the correlation between the two factors should therefore account for spatiotemporal variations. Satellite observation has the advantage of wide spatial coverage over pin-point style ground-based in situ monitoring stations. Therefore, the current study used both ground measurement and satellite data sets to investigate the spatial and temporal correlation of satellite-derived PM 2.5 with respiratory diseases. This study used 4-year satellite data and PM 2.5 levels of the period at eight stations in Taiwan to obtain the spatial and temporal relationship between aerosol optical depth (AOD) and PM 2.5 . The AOD-PM 2.5 model was further examined using the cross-validation (CV) technique and was found to have high reliability compared with similar models. The model was used to obtain satellite-derived PM 2.5 levels and to analyze the hospital admissions for allergic rhinitis in 2008. The results suggest that adults (18-65 years) and children (3-18 years) are the most vulnerable groups to the effect of PM 2.5 compared with infants and elderly people. This result may be because the two affected age groups spend longer time outdoors. This result may also be attributed to the long-range PM 2.5 transport from upper stream locations and the atmospheric circulation patterns, which are significant in spring and fall. The results of the current study suggest that additional environmental factors that might be associated with respiratory diseases should be considered in future studies.

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Retrieval of Atmospheric Thermodynamic State From Synergistic Use of Radio Occultation and Hyperspectral Infrared Radiances Observations

Cited by 17 publications

References 39 publications

Monsoon effect simulation on typhoon rainfall potential - Typhoon Morakot (2009)

Monsoon effect simulation on typhoon rainfall potential - Typhoon Morakot (2009)

Global Water Vapor Estimates from Measurements from Active GPS RO Sensors and Passive Infrared and Microwave Sounders

Spatial Correlation of Satellite-Derived PM2.5 with Hospital Admissions for Respiratory Diseases

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