Direct and semi-direct radiative effects of anthropogenic aerosols in the Western United States: Seasonal and geographical variations according to regional climate characteristics
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- Kim, J., Gu, Y., Liou, K. et al. Climatic Change (2012) 111: 859. doi:10.1007/s10584-011-0169-7
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The direct and semi-direct radiative effects of anthropogenic aerosols on the radiative transfer and cloud fields in the Western United States (WUS) according to seasonal aerosol optical depth (AOD) and regional climate are examined using a regional climate model (RCM) in conjunction with the aerosol fields from a GEOS-Chem chemical-transport model (CTM) simulation. The two radiative effects cannot be separated within the experimental design in this study, thus the combined direct- and semi-direct effects are called radiative effects hereafter. The CTM shows that the AOD associated with the anthropogenic aerosols is chiefly due to sulfates with minor contributions from black carbon (BC) and that the AOD of the anthropogenic aerosol varies according to local emissions and the seasonal low-level winds. The RCM-simulated anthropogenic aerosol radiative effects vary according to the characteristics of regional climate, in addition to the AOD. The effects on the top of the atmosphere (TOA) outgoing shortwave radiation (OSRT) range from −0.2 Wm−2 to −1 Wm−2. In Northwestern US (NWUS), the maximum and minimum impact of anthropogenic aerosols on OSRT occurs in summer and winter, respectively, following the seasonal AOD. In Arizona-New Mexico (AZNM), the effect of anthropogenic sulfates on OSRT shows a bimodal distribution with winter/summer minima and spring/fall maxima, while the effect of anthropogenic BC shows a single peak in summer. The anthropogenic aerosols affect surface insolation range from −0.6 Wm−2 to −2.4 Wm−2, with similar variations found for the effects on OSRT except that the radiative effects of anthropogenic BC over AZNM show a bimodal distribution with spring/fall maxima and summer/winter minima. The radiative effects of anthropogenic sulfates on TOA outgoing longwave radiation (OLR) and the surface downward longwave radiation (DLRS) are notable only in summer and are characterized by strong geographical contrasts; the summer OLR in NWUS (AZNM) is reduced (enhanced) by 0.52 Wm−2 (1.14 Wm−2). The anthropogenic sulfates enhance (reduce) summer DLRS by 0.2 Wm−2 (0.65 Wm−2) in NWUS (AZNM). The anthropogenic BC affect DLRS noticeably only in AZNM during summer. The anthropogenic aerosols affect the cloud water path (CWP) and the radiative transfer noticeably only in summer when convective clouds are dominant. Primarily shortwave-reflecting anthropogenic sulfates decrease and increase CWP in AZNM and NWUS, respectively, however, the shortwave-absorbing anthropogenic BC reduces CWP in both regions. Due to strong feedback via convective clouds, the radiative effects of anthropogenic aerosols on the summer radiation field are more closely correlated with the changes in CWP than the AOD. The radiative effect of the total anthropogenic aerosols is dominated by the anthropogenic sulfates that contribute more than 80% of the total AOD associated with the anthropogenic aerosols.
The impact of anthropogenic aerosols on regional climate has become a topic of intense research (Boucher and Anderson 1995; Mitchell et al. 1995; Pan et al. 1997; Giorgi et al. 2002; Gu et al. 2006; Kim et al. 2006; Huang et al. 2007). However, its regional effects in the western United States (WUS) remain largely uncertain. Analyses of direct insolation in four southern China cities revealed that the increase in aerosol concentration due to increased local emissions have reduced the present-day direct insolation by over 20% of that during the period 1960–1980 (Luo et al. 2000). In an analysis of summer climate change, air pollution, and clear sky insolation over China, Xu (2001) found that increases in sulfate aerosols and the associated changes in albedo may play an important role in the summer climate pattern in eastern China characterized by North-drought/South-flooding. In a GCM study, Menon et al. (2002) showed that the radiative heating by absorbing aerosols such as black carbon (BC) may affect the regional atmospheric circulation and water cycle in China and India. While studies have been focused on some heavily polluted regions such as China, few studies have been focused on the western United States (WUS). Gueymard et al. (2000) reported that dusts originating from China affect the solar radiation in WUS and may alter the regional atmospheric circulation and water cycle. Thus, accurate calculation of the effects of anthropogenic aerosols on the radiative transfer and regional hydrologic cycle, especially via clouds, is crucial for global and regional climate simulations, especially for reducing uncertainties in projecting future climate change and its impacts on human society and environments.
The aerosol radiative effects on climate are complicated due to variations in aerosol types and concentrations, the feedback through other components of the climate system such as clouds, and the characteristics of regional climate (Giorgi et al. 2002; Gu et al. 2006; Kim et al. 2006). Aerosol optical properties vary according to aerosol types, and the net shortwave radiative forcing on the atmospheric column is determined by the differences between two opposite effects of reflecting (e.g., sulfates, small dust particles) and absorbing (e.g., BC, large dusts) aerosols. Previous studies of aerosol radiative effects often suffer from significant uncertainties because only a limited number of aerosol types and/or characteristics were considered. In a series of coupled regional climate-chemistry modeling, Giorgi et al. (2002) and Huang et al. (2007) found that the direct radiative forcing by anthropogenic sulfate varies according to local emissions and season. In a regional modeling study, Kim et al. (2006) showed that the direct aerosol forcing on surface insolation and snowmelt in the Sierra Nevada depends not only on AOD but also on regional climate characteristics, especially the low-level air temperature and the frequency of cloud formation.
Due to significant orography and seasonal and geographical contrasts in climate, the impact of aerosols can vary significantly according to season and geography in the WUS. Investigations of the aerosol effects on the climate in the region has been extremely limited despite the fact that seasonal variations in the regional climate and water cycle are strongly affected by aerosol radiative forcing (e.g., Kim et al. 2006). This study attempts to investigate the direct and semi-direct effects of anthropogenic aerosols on the regional climate in WUS according to the geographical and seasonal variations in regional climate characteristics and AOD as well as in the presence of the feedback through clouds by implementing a comprehensive aerosol field and its optical properties calculated in a state-of-the-art chemistry transport model (CTM) into a regional climate model (RCM) simulations.
In the following, we present the direct and semi-direct radiative effects of anthropogenic aerosols, with further focus on scattering sulfates and absorbing BC aerosols, on the radiation and cloud fields in an RCM study in which the monthly-mean aerosol field for 2001 simulated in the GEOS-Chem CTM is prescribed. In Section 2, we describe the model structure and experimental design for this study. Sections 3 and 4 present the anthropogenic AOD field in the GEOS-Chem simulation and the impact of anthropogenic aerosols on the simulated radiation field. Section 5 presents the relationship between the overall direct aerosol radiative effect and the feedback from cloud fields, followed by conclusions in Section 6.
2 Model description and experiment design
2.1 Model description
The RCM used in this study is composed of the Mesoscale Atmospheric Simulation (MAS) model (Soong and Kim 1996; Kim 2005; Kim et al. 2006) interactively coupled with the NCEP-Oregon State University-Air Force-Office of Hydrology (NOAH) land surface scheme (Kim and Ek 1995; Chang et al. 1999). The MAS model is a primitive-equation, limited-area atmospheric model written on the σ-coordinates. Advection equation is solved using the 3rd-order accurate finite difference scheme (Takacs 1985). A modified version of the bulk microphysics scheme of Cho et al. (1989) that includes five types of hydrometeors, and the Simplified Arakawa-Schubert scheme (Pan and Wu 1995; Hong and Pan 1998) are used to compute grid-scale and convective precipitation, respectively. The effects of vertical turbulent mixing are computed using the bulk aerodynamic scheme of Deardorff (1978) at the surface, and the K-theory method within the model atmosphere. The eddy diffusivities for the K-theory method are computed using the local scheme of Louis et al. (1982) in conjunction with the asymptotic mixing length obtained in the observational study of Kim (1990) and Kim and Mahrt (1992). The 4-layer NOAH scheme coupled with the MAS model computes the land-surface processes and surface fluxes. The NOAH model predicts the volumetric soil moisture content, both frozen and unfrozen, and soil temperature within model soil layers. It also predicts the canopy-water content and snow-water equivalence at the surface. The temperature and specific humidity for calculating surface sensible and latent heat fluxes, outgoing longwave radiation, and ground heat fluxes are calculated by iteratively solving a nonlinear form of the surface energy balance equation. The MAS has been used in a number of regional climate modeling studies for the western- and continental United States as well as for East Asia (e.g., Soong and Kim 1996; Kim 1997, 2001, 2005; Kim et al. 2002, 2006; Kim and Lee 2003). For more details of the MAS and NOAH models, readers are referred to Mahrt and Pan (1984), Pan and Mahrt (1987), Kim and Ek (1995), and Soong and Kim (1996).
Radiative transfer within the model atmosphere, including the impact of clouds and multiple types of atmospheric aerosols, is computed using the δ-2/4-stream Fu-Liou-Gu scheme modified on the basis of original Fu-Liou scheme (Fu and Liou 1992, 1993; Gu et al. 2003, 2006). This radiation scheme has been recently incorporated in MAS and has been successfully employed in regional climate studies associated with aerosols (Kim et al. 2006). The scheme uses a combination of the δ-4-stream approximation for the solar flux (Liou et al. 1988) and the δ-2/4-stream approximation for the infrared flux to achieve a balance between accuracy and computational efficiency (Fu et al. 1997). The Fu-Liou-Gu scheme includes the formulation for calculating the direct radiative effects of 18 types of aerosol and optical properties of liquid- and ice cloud particles. The aerosol types in the Fu-Liou scheme are; maritime, continental, urban, mineral dust aerosols in five size classes, insoluble, water soluble, soot, mineral dusts in four types, seas salts in two modes, and sulfates. More details on the aerosol types are presented in Gu et al. (2006). The radiative properties of aerosols, including the extinction coefficient, single-scattering albedo and asymmetry factor, are determined by their composition, shape and size distribution using the Optical Properties of Aerosols and Clouds (OPAC) database (d’Almeida et al. 1991; Tegen and Fung 1995; Tegen and Lacis 1996; Hess et al. 1998). The single-scattering properties of 18 aerosol types at 60 wavelengths within the spectral region between 0.3 μm and 40 μm are interpolated into the Fu-Liou-Gu spectral bands. Calculations of the cloud radiative forcing follow the procedure by Fu and Liou (1993) for the parameterization of the single-scattering properties of cloud particles. This scheme calculates the spectral extinction coefficient, the single-scattering albedo, and the asymmetry factor, in terms of the cloud water content, separately for ice and liquid, and the effective particle size. Calculations of the single-scattering properties of clouds require information about the particle shape and size distributions, and the indices of refraction as a function of wavelength.
The aerosol data used in this study have been simulated using the GEOS-Chem chemical transport model (CTM) version 7.02 (http://www-as.harvard.edu/chemistry/trop/geos) of coupled aerosol-oxidant chemistry. Evaluation of the GEOS-Chem aerosol data used in this study has been extensively conducted over the United States and has been presented in Park et al. (2003, 2004, 2006). Aerosols in the model include sulfate, nitrate, ammonium, carbonaceous aerosols, soil dust, and sea salt. It uses assimilated meteorological data in the NASA Goddard Earth Observing System (GEOS-3) including winds, convective mass fluxes, mixed layer depths, temperature, clouds, precipitation, and surface properties with 6-hour resolutions (3-hour for surface variables and mixing depths), 1° × 1° horizontal resolution, and 48 σ layers. For computational efficiency, horizontal resolutions for global CTM simulations are typically made at 2°× 2.5° or 4°× 5°. Finer resolution CTM data can be obtained using the self-nesting capability of the GEOS-Chem that allows us to generate fine-resolution aerosol data from its own coarse-resolution global data using the same chemistry formulations over selected regions. This one-way nesting capability has been successfully applied to an ozone-NOx-hydrocarbon chemistry simulation over East Asia (Wang et al. 2004) and to a coupled oxidant-PM simulation over North America (Park et al. 2006). For more details on the GEOS-Chem aerosol simulations, readers are referred to the previous publications Park et al. (2004, 2006), Alexander et al. (2005), and Fairlie et al. (2007).
2.2 Experimental design
In order to examine the direct radiative effect of anthropogenic aerosols on the radiation field in WUS, two aerosol datasets corresponding to natural-only and natural-and-anthropogenic emissions for 2001 have been generated over North America at a 1°× 1° resolution using the nested version of the GEOS-Chem model. The resulting monthly-mean AOD values for individual aerosol types within GEOS-Chem grid boxes are then interpolated to provide the corresponding optical thickness values for each RCM grid box and each aerosol type during the course of the model integration. The aerosol types in GEOS-Chem are closely matched with those parameterized in the Fu-Liou-Gu scheme; thus the implementation of the GEOS-Chem aerosol fields in RCM simulations is straightforward.
The numerical experiments performed in this study
GEOS-Chem aerosol fields used in the RCM simulation
GEOS-Chem aerosols from anthropogenic and natural emissions
GEOS-Chem aerosols from natural emissions only
All GEOS-Chem aerosols except anthropogenic sulfates
(CTRL-SULF is related with the presence of anthropogenic sulfates)
Black Carbon (BLCB)
All GEOS-Chem aerosols except anthropogenic BC
(CTRL-BC is related with the presence of anthropogenic BC)
3 Seasonal AOD
4 Radiative effects of anthropogenic aerosols on radiative transfer
5 Effect on clouds
The effects of anthropogenic BC on CWP is negative in both regions (Fig. 9b), and is more significant in AZNM during summer because the warming due to the absorption of solar radiation reduces clouds generated by the monsoon circulation (Menon et al. 2002; Gu et al. 2006; Huang et al. 2007). The reduced CWP results in decreased OSRT (Fig. 5b), increased OLR (Fig. 7b), and decreased DLRS (Fig. 8b). The reduced surface insolation (Fig. 6b), however, is associated with the absorption of solar radiation by anthropogenic BC that exceeds the cloud feedback effect produced by the reduced CWP. Overall, the seasonal and geographical variations in the radiative effects of anthropogenic aerosols on the radiation budget are related with the regional climate characteristics, in particular, the amount and type of the dominant clouds, because clouds can strongly mask the direct aerosol radiative effects (Kim et al. 2006). Details of the physical processes, for example the aerosol-induced diabatic heating and the corresponding alterations in static stability, behind the aerosol-cloud feedback found in this study could not be analyzed due to our inability of tracking the complex interaction and feedback within the model. This will be left for future studies.
We have examined the combined direct and semi-direct radiative effects of anthropogenic aerosols on the radiative transfer and clouds in WUS using an RCM in conjunction with the aerosol fields simulated in the GEOS-Chem model. Two sets of monthly-mean AOD fields corresponding to natural-and-anthropogenic and natural-only emissions have been generated using GEOS-Chem. The CTM aerosol datasets have been implemented in four RCM simulations to compute the radiative effect of anthropogenic aerosols on the radiative transfer and CWP in two regions, NWUS and AZNM, of contrasting climate characteristics.
The CTM results show that the geographical and seasonal variations in AOD by anthropogenic aerosols are determined primarily by local emissions and regional climate, especially the prevailing winds and precipitation. The AOD associated with anthropogenic aerosols is largest in summer and smallest in winter in both regions. During the winter, prevailing westerly winds and significant precipitation result in strong zonal gradients in AOD with the minimum and maximum values occurring in the Pacific coastal region and to the east of the Continental Divide, respectively. In summer, the low-level southerly winds associated with the development of North American monsoon results in large AOD values over SWUS due to the trans-border pollutant from Mexico. The entire anthropogenic aerosols behave primarily as shortwave-reflecting aerosols because their AOD is mostly associated with anthropogenic sulfates with only a minor contribution from the anthropogenic black carbon.
The direct radiative effect of the entire anthropogenic aerosols on OSRT is characterized by significant geographical and seasonal variations, especially during summer in SWUS and the inland region of WUS where their local magnitude varies from −10 Wm−2 to +10 Wm−2. The radiative effect of anthropogenic sulfates increase OSRT by 0.2 to 1 Wm−2, thus negative shortwave radiative forcing at TOA, in both NWUS and AZNM. In NWUS, the maximum and minimum effects on OSRT occur in the summer and the winter, respectively. In AZNM, the radiative effect on OSRT is characterized by a bimodal seasonal distribution with the maxima (minima) in spring and fall (winter and summer). The radiative effect of anthropogenic black carbon reduces OSRT, thus positive TOA shortwave radiative forcing, for all seasons with the maximum effect during summer in both regions. The radiative effect of the entire anthropogenic aerosols on OSRT closely resembles that by anthropogenic sulfates. The effect of anthropogenic sulfates on surface insolation that is negative in all regions undergoes similar seasonal and geographical variations as their effect on OSRT. The seasonal variations in the effect of anthropogenic BC on surface insolation in AZNM show a bimodal seasonal distribution with the maxima in spring and fall and the minima in winter and summer.
The radiative effects of anthropogenic aerosols on OLR and DLRS are noticeable only during summer. Both anthropogenic sulfates and black carbon increase (decrease) OLR in AZNM (NWUS). The radiative effect of anthropogenic aerosols on the summer DLRS in NWUS is opposite to that in AZNM; both anthropogenic sulfates and black carbon decrease (increase) DLRS in AZNM (NWUS).
The radiative effect of anthropogenic aerosols on CWP is noticeable only during summer when convective clouds are significant as well. Anthropogenic aerosols reduce CWP in AZNM, but slightly increase it in NWUS during summer. This shows that the radiative effect of anthropogenic aerosols on CWP depends on regional climate characteristics in which convective clouds develop. They reduce significant convection driven the NAM circulation (summertime in AZNM), but enhance non-precipitating clearly-sky cumuli driven by local atmospheric instability (summertime in NWUS).
This study was supported by the grants from NOAA/GAPP (NA03OAR4310012), NASA Applied Sciences Program (NAG5-13248), NSF ATM-0437349 and ATM-0924876, National Comprehensive Measures against Climate Change Program of Ministry of Environment, Republic of Korea (Grant No. 1600-1637-301-210-13), and the Korea Meteorological Administration Research and Development Program under the grant CATER 2007–3205.