The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path From ABI on Analyses and Forecasts for Hurricane Irma (2017)

Meng, Dennis Desheng; Chen, Yaodeng; Li, Jun; Tan, Zhimin; Wang, Pei; Lee, Jung‐Rim; Li, Jinlong; Li, Zhenglong

doi:10.1029/2022jd036910

Cited by 3 publications

(4 citation statements)

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“…For Typhoon Maria (2018), both CSLP and MWS of the EXP_WND experiment are closer to the IBTrAC observations (Figure 10c). and Meng et al (2022) highlighted the benefits of accurately initializing hydrometeors for improving tropical cyclone track and intensity forecasts. This study further reveals that a coordinated initialization of hydrometeors with dynamic variables enhances typhoon forecasting accuracy.…”

Section: Impacts Of Giirs-derived 3d Horizontal Winds Assimilation On...mentioning

confidence: 99%

“…Although assimilating remote sensing measurements related to thermodynamic (Wang et al., 2015, 2019) and hydrometeor (Meng, Wang, et al., 2021, 2022) into NWP models can enhance the asymmetric component, which is highly correlated with the development of TC intensity (Gao & Wang, 2023; Kurihara et al., 1993), this study marks the first effort to synergistically assimilate the 3D horizontal wind from GeoHIS and Liquid Water Path (LWP) and Ice Water Path (IWP) derived from geostationary satellite imager. It is known that even if hydrometeor information is accurately analyzed in the initial conditions, it is hard for the model to retain this information for long without appropriate dynamical support.…”

Section: Introductionmentioning

confidence: 99%

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Added Value of Three‐Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model

Meng,

Tan,

et al. 2024

JGR Atmospheres

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High temporal resolution geostationary hyperspectral infrared sounders can simultaneously profile atmospheric temperature and moisture, and track moisture features to provide 3D horizontal winds in clear and partially cloudy scenarios. The thermodynamic information obtained has been integral to enhancing tropical cyclone (TC) forecasts. However, the potential benefits derived from the dynamic information provided by geostationary hyperspectral infrared sounders (GeoHIS) are yet to be fully comprehended for numerical weather prediction (NWP). With the re‐estimated observation error and multivariate hydrometeor background error covariance, the 3D horizontal winds from the Geostationary Interferometric Infrared Sounder (GIIRS) are synergistically assimilated with the hydrometeor information. The impact of the GIIRS‐derived 3D horizontal wind assimilation on Typhoon Maria (2018) and Lekima (2019) analysis and forecast are evaluated. The results show that the assimilating GIIRS‐derived 3D horizontal wind notably reduces the RMSEs of analysis and forecast, particularly in the U and V components. The improvement in accuracy of large‐scale fields substantially enhances the forecasts of typhoons' track and maximum wind speed, as well as the central sea‐level pressure. Moreover, the prediction of the spatial distribution and intensity for landfall precipitation is also improved. The detailed diagnoses of the Maria show that a more southerly subtropical high generated by the additional horizontal wind assimilation improves the rainfall spatial distribution, and the reasonable water vapor transportation caused by the improved dynamic conditions corrects the precipitation intensity. This work highlights the importance of dynamic information in TC forecasting and emphasizes the need for efficient and high‐precision 3D wind measurements to improve NWP.

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Section: Impacts Of Giirs-derived 3d Horizontal Winds Assimilation On...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Added Value of Three‐Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model

Meng,

Tan,

et al. 2024

JGR Atmospheres

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“…For example, Chen et al (2016) investigated the influence of various microphysics schemes on assimilating cloud liquid and ice water path from NASA Global Geostationary Gridded Cloud Products, focusing on a rainfall case over China. Meng et al (2022) conducted sensitivity tests to determine an optimal combination of microphysics and cumulus parameterization schemes for assimilating cloud water path retrieved from GOES-16 ABI products, with a case study on Hurricane Irma (2017). Investigation of microphysics impact on direct radiance assimilation is limited.…”

Section: Introductionmentioning

confidence: 99%

“…Meng et al. (2022) conducted sensitivity tests to determine an optimal combination of microphysics and cumulus parameterization schemes for assimilating cloud water path retrieved from GOES‐16 ABI products, with a case study on Hurricane Irma (2017). Investigation of microphysics impact on direct radiance assimilation is limited.…”

Section: Introductionmentioning

confidence: 99%

Impact of Microphysics Parameterization Schemes on the Assimilation of GOES‐16 ABI All‐Sky Infrared Radiances for a Bow Echo Analysis and Prediction

Kim,

Wang,

Johnson

2024

JGR Atmospheres

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This study aims to investigate how assimilating GOES‐16 ABI infrared brightness temperature (BT) with different microphysics schemes affects the convection‐allowing analysis and prediction of the 3 May 2020 bow echo case. The Gridpoint Statistical Interpolation‐based Ensemble Kalman Filter (GSI‐EnKF) system and Weather Research and Forecasting (WRF) model are utilized to conduct data assimilation (DA) experiments using Thompson, WDM6, NSSL, and Morrison microphysics schemes. Correlation structures between BT and model state variables indicate that assimilating infrared BT can adjust bowing MCS dynamics via latent cooling and the rear inflow jet. Such corrections during DA cycling enhance the rear inflow jet and bow echo size, primarily for microphysics schemes featuring faster hydrometeor fall velocity and stronger latent cooling. The improved analyses lead to better forecasts of the bow echo's shape, size, timing of the bowing process, and wind speeds. Substituting a larger microphysics‐dependent effective radius for a constant default value increases prior BT, the magnitude of BT innovations, and accumulated impact on the rear inflow jet, especially for the WDM6 and Morrison schemes. In the subsequent forecasts, incorporating microphysics‐dependent effective radius further improves the experiment using the Morrison scheme but degrades it when using the WDM6 scheme.

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Impacts of Assimilating FY-4A AGRI Clear-Sky Water Vapor Radiance on Short-Range Weather Prediction during Indian Summer Monsoon

Niu

Kumar

Wang³

2023

International Journal of Remote Sensing

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The Potential Value of Combining Assimilation of Water Vapor Radiances and Cloud Liquid/Ice Water Path From ABI on Analyses and Forecasts for Hurricane Irma (2017)

Abstract: Hurricanes are among the most destructive natural hazards, with strong asymmetries in deep convection in the eyewall and the spiral rainbands (

Cited by 3 publications

References 94 publications

Added Value of Three‐Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model

Added Value of Three‐Dimensional Horizontal Winds From Geostationary Interferometric Infrared Sounder for Typhoon Forecast in a Regional NWP Model

Impact of Microphysics Parameterization Schemes on the Assimilation of GOES‐16 ABI All‐Sky Infrared Radiances for a Bow Echo Analysis and Prediction

Impacts of Assimilating FY-4A AGRI Clear-Sky Water Vapor Radiance on Short-Range Weather Prediction during Indian Summer Monsoon

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