A stochastic model for density-dependent microwave Snow- and Graupel scattering coefficients of the NOAA JCSDA community radiative transfer model

Stegmann, Patrick G.; Tang, Guangwu; Yang, Ping; Johnson, Billy E.

doi:10.1016/j.jqsrt.2018.02.026

Cited by 16 publications

(16 citation statements)

References 46 publications

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“…The all-sky radiance assimilation with individual hydrometeors as cloud control variables will be tested, as cloud liquid water, cloud ice, snow, rain, and graupel become the prognostic variables in the forecast model. In particular, with the newly improved scattering coefficients in the CRTM (Stegmann et al 2018), the impact of radiances affected by strong scattering will be assessed. More research should also be conducted on other choices of the cloud control variables.…”

Section: Discussionmentioning

confidence: 99%

Expansion of the All-Sky Radiance Assimilation to ATMS at NCEP

Zhu¹,

Gayno²,

Purser³

et al. 2019

Monthly Weather Review

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Since the implementation of all-sky radiance assimilation of the Advanced Microwave Sounding Unit-A (AMSU-A) in the operational hybrid 4D ensemble–variational Global Forecast System at NCEP in 2016, the all-sky approach has been tested to expand to the radiances of Advanced Technology Microwave Sounder (ATMS) in the Gridpoint Statistical Interpolation analysis system (GSI). Following the all-sky framework implemented for the AMSU-A radiances, ATMS radiance assimilation adopts similar procedures in quality control, bias correction, and model of observation error. Efforts have been focused on special considerations that are necessary because of the unique features of the ATMS radiances and water vapor channels, including surface properties based on fields of view size and shape, and taking care of large departures from the first guess (OmF) along coastlines and radiances affected by strong scattering. More importantly, it is shown that this work makes microwave radiance OmFs become more consistent among different sensors, and provides indications of the deficiencies in quality control procedures of the original ATMS and Microwave Humidity Sounder (MHS) clear-sky radiance assimilation. While the generalized tracer effect is noticed, the overall impact on the forecast skill is neutral. This work is included in the upcoming operational implementation in 2019.

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Section: Discussionmentioning

confidence: 99%

Expansion of the All-Sky Radiance Assimilation to ATMS at NCEP

Zhu¹,

Gayno²,

Purser³

et al. 2019

Monthly Weather Review

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“…The main limitation is that precipitationaffected radiances in deep-convection regions could not be used, while those regions are often associated with high impact weather such as hurricanes. Research has been conducted to improve scattering properties of frozen hydrometers by using nonspherical particle shapes (Geer and Baordo 2014;Stegmann et al 2018;Sieron et al 2018). Sieron et al (2017) constructed new CRTM LUTs based on microphysics-consistent particle size distributions.…”

Section: Summary and Future Workmentioning

confidence: 99%

“…In recent years, the main trend of making use of satellite data in numerical weather prediction (NWP) is the assimilation of cloud-and precipitation-affected radiances. Research efforts have been devoted to improving observation error modeling (Geer and Bauer 2011;Okamoto et al 2014;Minamide and Zhang 2017), radiative transfer models (e.g., Geer et al 2009;Geer and Baordo 2014;Sieron et al 2017;Stegmann et al 2018;Sieron et al 2018), and parameterizations of cloud and precipitation in forecast model (e.g., Forbes et al 2016). The first operational implementation of all-sky microwave radiance assimilation was achieved at the European Centre for Medium-Range Weather Forecasts (ECMWF) in 2009, with observations from the Special Sensor Microwave Imager (SSM/I) and Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) assimilated in all-sky approach (Bauer et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Multiple Hydrometeors All-Sky Microwave Radiance Assimilation in FV3GFS

Tong

Zhu

Zhou

et al. 2020

Monthly Weather Review

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Abstract Motivated by the use of the GFDL microphysics scheme in the Finite-Volume Cubed-Sphere Dynamical Core Global Forecast System (FV3GFS), the all-sky radiance assimilation framework has been expanded to include precipitating hydrometeors. Adding precipitating hydrometeors allows the assimilation of precipitation-affected radiance in addition to cloudy radiance. In this upgraded all-sky framework, the five hydrometeors, including cloud liquid water, cloud ice, rain, snow, and graupel, are the new control variables, replacing the original cloud water control variable. The Community Radiative Transfer Model (CRTM) was interfaced with the newly added precipitating hydrometeors. Subgrid cloud variability was considered by using the average cloud overlap scheme. Multiple scattering radiative transfer was activated in the upgraded framework. Radiance observations from the Advanced Microwave Sounding Unit-A (AMSU-A) and the Advanced Technology Microwave Sounder (ATMS) over ocean were assimilated in all-sky approach. This new constructed all-sky framework shows neutral to positive impact on overall forecast skill. Improvement was found in 500-hPa geopotential height forecast in both Northern and Southern Hemispheres. Temperature forecast was also improved at 850 hPa in the Southern Hemisphere and the tropics.

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“…Specifically, clear-sky radiance calculations are carried out within the CRTM given the atmospheric scattering and absorption profile, surface emissivity and reflectivity, and source functions. For cloudy radiance simulations (Stegmann et al, 2018), vertical profiles of hydrometeor variables (e.g., cloud liquid water path and ice water path) are also required. Note that CRTM is not designed to describe longwave and shortwave broadband radiative transfer for general circulation model applications.…”

Section: Introductionmentioning

confidence: 99%

The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator

Liu

Wei

et al. 2021

Preprint

Self Cite

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Abstract. The Community Radiative Transfer Model (CRTM), a sensor-based radiative transfer model, has been used within the Gridpoint Statistical Interpolation (GSI) system for directly assimilating radiances from infrared and microwave sensors. We conducted numerical experiments to illustrate how including aerosol radiative effects in CRTM calculations changes the GSI analysis. Compared to the default aerosol-blind calculations, the aerosol influences reduced simulated brightness temperature (BT) in thermal window channels, particularly over dust-dominant regions. A case study is presented, which illustrates how failing to correct for aerosol transmittance effects leads to errors in meteorological analyses that assimilate radiances from satellite IR sensors. In particular, the case study shows that assimilating aerosol-affected BTs affects analyzed temperatures in the lower atmosphere significantly in several different regions of the globe. Consequently, a fully-cycled aerosol-aware experiment improves 1–5 day forecasts of wind, temperature, and geopotential height in the tropical troposphere and Northern Hemisphere stratosphere. Whilst both GSI and CRTM are well documented with online user guides, tutorials and code repositories, this article is intended to provide a joined-up documentation for aerosol absorption and scattering calculations in the CRTM and GSI. It also provides guidance for prospective users of the CRTM aerosol option and GSI aerosol-aware radiance assimilation. Scientific aspects of aerosol-affected BT in atmospheric data assimilation are briefly discussed.

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A stochastic model for density-dependent microwave Snow- and Graupel scattering coefficients of the NOAA JCSDA community radiative transfer model

Cited by 16 publications

References 46 publications

Expansion of the All-Sky Radiance Assimilation to ATMS at NCEP

Expansion of the All-Sky Radiance Assimilation to ATMS at NCEP

Multiple Hydrometeors All-Sky Microwave Radiance Assimilation in FV3GFS

The Aerosol Module in the Community Radiative Transfer Model (v2.2 and v2.3): accounting for aerosol transmittance effects on the radiance observation operator

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