How Does Radiation Code Accuracy Matter?

Huang, Yi; Wang, Yuwei

doi:10.1029/2019jd030296

Cited by 10 publications

(6 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is only the case over the latitude range where there is high solar insolation: 30° N − S on average and shifting with season. Our results are consistent with those of Wang and Huang (2020) but the vertical extent of the warming is somewhat broader and results in Huang and Wang (2019) suggest that there are temperature biases in the predicted response from different radiation codes.…”

Section: Appendix A: Correlation Between Iefdh and Era5 Temperaturessupporting

confidence: 88%

What Contributes to the Inter‐Annual Variability in Tropical Lower Stratospheric Temperatures?

Ming

Hitchcock

2021

JGR Atmospheres

View full text Add to dashboard Cite

The inter-annual variability of temperatures in the tropical lower stratosphere is of interest since temperature in this region controls the entry of water vapor into the stratosphere which can then modify the surface radiative balance (Fueglistaler et al., 2014). The chemical composition of the stratosphere is strongly impacted by the balance reached between the circulation, radiation and chemistry in this region. A number of trace species including ozone, water vapor, and stratospheric aerosols in this region have significant climate impacts. Temperatures in the tropical lower stratosphere are closely coupled to these trace species and thus to their influence on the energy balance of the climate system. Despite their importance, temperatures in this region exhibit more uncertainty in reanalysis datasets than in any other region in the atmosphere below 10 hPa (see Hersbach et al., 2020, their Figure 11). A detailed understanding of the processes that determine temperatures in this region is thus desirable.The inter-annual variability in dynamical heating arising from changes in upwelling in the Brewer-Dobson circulation has been identified as a main contributor to this temperature variability (Fueglistaler et al., 2014). An increase in upwelling decreases temperature below radiative equilibrium by adiabatic cooling. It also changes the transport of ozone, water vapor and aerosol-all radiatively active trace species. These species induce local and

show abstract

Section: Appendix A: Correlation Between Iefdh and Era5 Temperaturessupporting

confidence: 88%

What Contributes to the Inter‐Annual Variability in Tropical Lower Stratospheric Temperatures?

Ming

Hitchcock

2021

JGR Atmospheres

View full text Add to dashboard Cite

show abstract

“…Similarly, the ΔRE (all components) involved with the simulation of the radiative effect of a situation corresponding to the transition zone is different depending on the parameterization utilized. The differences in the treatment of forward scattering, number of spectral bands, and range of shortwave spectral region considered by the parameterizations, the methods used for solving the RTE and for cloud/aerosol parameterization as well as the code accuracy (Huang & Wang, 2019) may be reasons for these differences detected among the parameterizations. Indeed, Table 1 shows the irradiances simulated by the three parameterizations under the reference (aerosol-and cloud-free) configuration, and the remarkable difference among parameterizations is obvious, so confirming that some of the former reasons play an important role.…”

Section: Discussionmentioning

confidence: 99%

Transition Zone Radiative Effects in Shortwave Radiation Parameterizations: Case of Weather Research and Forecasting Model

2019

View full text Add to dashboard Cite

A number of studies have stated that the shift from a cloud‐free to cloudy atmosphere (and vice versa) contains an additional phase, named “Transition (or twilight) Zone”. However, the information available about radiative effects of this phase is very limited. Consequently, in most meteorological and climate studies, the area corresponding to the transition zone is considered as an area containing aerosol or optically thin clouds. This study investigates the differences in shortwave radiative effects driven from different treatments of the transition zone. To this aim, three of the shortwave radiation parameterizations (NewGoddard, Rapid Radiative Transfer Model for Global circulation models, and Fu‐Liou‐Gu) included in the Advanced Research Weather Research and Forecasting Model (WRF‐ARW) were isolated and adapted for one‐dimensional vertical simulations. These parameterizations were then utilized to perform simulations under ideal “cloud” and “aerosol” modes, for different values of (i) cloud optical depths resulting from different sizes of ice crystals or liquid droplets and mixing ratios; and (ii) different aerosol optical depths combined with various aerosol types. The resulting shortwave broadband total, direct, and diffuse irradiances at the Earth surface were analyzed. The uncertainties originated from different assumptions of a situation regarding to the transition zone are quite substantial for all the parameterizations. For all the parameterizations, direct and total irradiances are the least and most sensitive irradiances to different treatments of the transition zone, respectively. Differences in the radiative effects of transition zone dominantly result from the difference between the radiative effects of clouds and aerosols (different types), not from cloud type or droplet/crystal size.

show abstract

“…As the conventional feedback analyses are mostly concerned with the radiation energy budget change at the TOA, most existing kernels have been developed and tested to address that need, i.e., to measure the feedback contributions to the TOA radiation changes. Although the radiative sensitivity depends on the atmospheric states as well as the radiative transfer codes used to compute the kernel values (e.g., Collins et al, 2006;Y. Huang & Wang, 2019;Pincus et al, 2020), it has been noted that the global mean TOA feedback quantification is insensitive to the used kernel dataset (e.g., Soden et al, 2008;Jonko et al, 2012;Vial et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Radiative sensitivity quantified by a new set of radiation flux kernels based on the ERA5 reanalysis

Huang

2023

Preprint

View full text Add to dashboard Cite

Abstract. Radiative sensitivity, i.e., the response of the radiative flux to climate perturbations, is essential to understanding climate variability. The sensitivity kernels computed by radiative transfer models have been broadly used for assessing the climate forcing and feedbacks in global warming. As these assessments are largely focused on the top of atmosphere (TOA) radiation budget, less attention has been paid to the surface radiation budget or the associated surface radiative sensitivity kernels. Based on the fifth generation European Center for Medium-Range Weather Forecasts atmospheric reanalysis, we produce a new set of radiative kernels for both the TOA and surface radiative fluxes, which is made available at http://doi.org/10.17632/vmg3s67568.1 (H. Huang, 2022). By comparing with other published radiative kernels, we find that the TOA kernels are in agreement in terms of global mean radiative sensitivity and analyzed overall feedback strength. The unexplained residual in the radiation closure tests is found to be generally within 10 %, no matter which kernel dataset is used. The inter-kernel bias-induced uncertainty, as measured by the standard deviation of the global mean feedback parameter value, is typically no more than 10 % in the longwave and 20 % in the shortwave; this uncertainty is much smaller than the inter-climate model spread of the feedbacks. However, there exist more significant regional biases in kernel values, due to the dependence of radiative sensitivity on the atmospheric states, and this contributes to more significant radiation non-closure at the regional scale, such as in the Arctic and Southern Ocean regions. On the other hand, we find relatively larger discrepancies in the surface kernels. Although several kernels can achieve as good radiation closure compared to the TOA kernels, affirming the validity of kernel method for the surface radiation budget analysis, the non-closure residual in certain kernels may amount to over 100 % of the total radiation change. The intercomparison of the surface kernels reveals important biases, such as in the radiative sensitivity to air temperature in the lowermost atmospheric layers adjacent to the surface, which is of critical importance to the overall surface feedback strength.

show abstract

How Does Radiation Code Accuracy Matter?

Cited by 10 publications

References 24 publications

What Contributes to the Inter‐Annual Variability in Tropical Lower Stratospheric Temperatures?

What Contributes to the Inter‐Annual Variability in Tropical Lower Stratospheric Temperatures?

Transition Zone Radiative Effects in Shortwave Radiation Parameterizations: Case of Weather Research and Forecasting Model

Radiative sensitivity quantified by a new set of radiation flux kernels based on the ERA5 reanalysis

Contact Info

Product

Resources

About