Can a coupled meteorology-chemistry model reproduce the historical trend in aerosol direct radiative effects over the Northern Hemisphere?

Abstract. The ability of a coupled meteorology–chemistry model, i.e., Weather Research and Forecast and Community Multiscale Air Quality (WRF-CMAQ), to reproduce the historical trend in aerosol optical depth (AOD) and clear-sky shortwave radiation (SWR) over the Northern Hemisphere has been evaluated through a comparison of 21-year simulated results with observation-derived records from 1990 to 2010. Six satellite-retrieved AOD products including AVHRR, TOMS, SeaWiFS, MISR, MODIS-Terra and MODIS-Aqua as well as long-term historical records from 11 AERONET sites were used for the comparison of AOD trends. Clear-sky SWR products derived by CERES at both the top of atmosphere (TOA) and surface as well as surface SWR data derived from seven SURFRAD sites were used for the comparison of trends in SWR. The model successfully captured increasing AOD trends along with the corresponding increased TOA SWR (upwelling) and decreased surface SWR (downwelling) in both eastern China and the northern Pacific. The model also captured declining AOD trends along with the corresponding decreased TOA SWR (upwelling) and increased surface SWR (downwelling) in the eastern US, Europe and the northern Atlantic for the period of 2000–2010. However, the model underestimated the AOD over regions with substantial natural dust aerosol contributions, such as the Sahara Desert, Arabian Desert, central Atlantic and northern Indian Ocean. Estimates of the aerosol direct radiative effect (DRE) at TOA are comparable with those derived by measurements. Compared to global climate models (GCMs), the model exhibits better estimates of surface-aerosol direct radiative efficiency (Eτ). However, surface-DRE tends to be underestimated due to the underestimated AOD in land and dust regions. Further investigation of TOA-Eτ estimations as well as the dust module used for estimates of windblown-dust emissions is needed.

[1]  C. Hogrefe,et al.  Annual application and evaluation of the online coupled WRF–CMAQ system over North America under AQMEII phase 2 , 2015 .

[2]  Bin Zhao,et al.  Evaluation of one-dimensional and two-dimensional volatility basis sets in simulating the aging of secondary organic aerosol with smog-chamber experiments. , 2015, Environmental science & technology.

[3]  N. Mahowald,et al.  An improved dust emission model – Part 1: Model description and comparison against measurements , 2014 .

[4]  Yasushi Yamaguchi,et al.  A high-resolution and multi-year emissions inventory for biomass burning in Southeast Asia during 2001–2010 , 2014 .

[5]  C. Hogrefe,et al.  Observations and modeling of air quality trends over 1990–2010 across the Northern Hemisphere: China, the United States and Europe , 2014 .

[6]  G. Yarwood,et al.  1.5-Dimensional volatility basis set approach for modeling organic aerosol in CAMx and CMAQ , 2014 .

[7]  A. Ding,et al.  Impact of aerosol–meteorology interactions on fine particle pollution during China’s severe haze episode in January 2013 , 2014 .

[8]  J. Prospero,et al.  What controls the recent changes in African mineral dust aerosol across the Atlantic , 2014 .

[9]  David G. Streets,et al.  Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model , 2014 .

[10]  G. Schaepman‐Strub,et al.  Solar absorption over Europe from collocated surface and satellite observations , 2014 .

[11]  Xiaohong Liu,et al.  Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis , 2013 .

[12]  C. Long,et al.  Assessment of the effect of air pollution controls on trends in shortwave radiation over the United States from 1995 through 2010 from multiple observation networks , 2013 .

[13]  C. Schär,et al.  The global energy balance from a surface perspective , 2013, Climate Dynamics.

[14]  N. Loeb,et al.  Surface Irradiances Consistent With CERES-Derived Top-of-Atmosphere Shortwave and Longwave Irradiances , 2013 .

[15]  Andrew K. Heidinger,et al.  A global survey of the effect of cloud contamination on the aerosol optical thickness and its long‐term trend derived from operational AVHRR satellite observations , 2013 .

[16]  A. Heidinger,et al.  Long-Term Aerosol Climate Data Record Derived from Operational AVHRR Satellite Observations , 2013 .

[17]  R. Gautam,et al.  Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010 , 2012 .

[18]  Brent N. Holben,et al.  Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS , 2012 .

[19]  David R. Doelling,et al.  Observed changes in top-of-the-atmosphere radiation and upper-ocean heating consistent within uncertainty , 2012 .

[20]  N. C. Hsu,et al.  Evaluating the influences of biomass burning during 2006 BASE-ASIA: a regional chemical transport modeling , 2011 .

[21]  Jiming Hao,et al.  Verification of anthropogenic emissions of China by satellite and ground observations , 2011 .

[22]  R. Mathur,et al.  WRF-CMAQ two-way coupled system with aerosol feedback: software development and preliminary results , 2011 .

[23]  Peter Knippertz,et al.  The importance of the representation of deep convection for modeled dust‐generating winds over West Africa during summer , 2011 .

[24]  V. Ramaswamy,et al.  Analysis of the biases in the downward shortwave surface flux in the GFDL CM2.1 general circulation model , 2011 .

[25]  Alexander Smirnov,et al.  Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .

[26]  S. Christopher,et al.  Comparison of satellite‐derived TOA shortwave clear‐sky fluxes to estimates from GCM simulations constrained by satellite observations of land surface characteristics , 2010 .

[27]  T. Eck,et al.  Global evaluation of the Collection 5 MODIS dark-target aerosol products over land , 2010 .

[28]  Yang Liu,et al.  Recent changes in particulate air pollution over China observed from space and the ground: effectiveness of emission control. , 2010, Environmental science & technology.

[29]  Jiming Hao,et al.  Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment , 2010 .

[30]  Qiang Zhang,et al.  Understanding of regional air pollution over China using CMAQ, part I performance evaluation and seasonal variation , 2010 .

[31]  Martin Wild,et al.  Global dimming and brightening: A review , 2009 .

[32]  Atsumu Ohmura,et al.  Observed decadal variations in surface solar radiation and their causes , 2009 .

[33]  J. Norris,et al.  How do aerosol histories affect solar “dimming” and “brightening” over Europe?: IPCC‐AR4 models versus observations , 2009 .

[34]  P. Cox,et al.  Impact of changes in diffuse radiation on the global land carbon sink , 2009, Nature.

[35]  David R. Doelling,et al.  Toward Optimal Closure of the Earth's Top-of-Atmosphere Radiation Budget , 2009 .

[36]  X. Tie,et al.  Effects of Southeast Asia biomass burning on aerosols and ozone concentrations over the Pearl River Delta (PRD) region , 2008 .

[37]  Yoram J. Kaufman,et al.  An Emerging Global Aerosol Climatology from the MODIS Satellite Sensors , 2008 .

[38]  Sundar A. Christopher,et al.  First observational estimates of global clear sky shortwave aerosol direct radiative effect over land , 2008 .

[39]  Rohit Mathur,et al.  A comparison of CMAQ‐based aerosol properties with IMPROVE, MODIS, and AERONET data , 2007 .

[40]  Anup K. Prasad,et al.  Changes in aerosol parameters during major dust storm events (2001–2005) over the Indo‐Gangetic Plains using AERONET and MODIS data , 2007 .

[41]  Martin Wild,et al.  Impact of global dimming and brightening on global warming , 2007 .

[42]  David G. Streets,et al.  Two‐decadal aerosol trends as a likely explanation of the global dimming/brightening transition , 2006 .

[43]  Martin Wild,et al.  Evaluation of clear-sky solar fluxes in GCMs participating in AMIP and IPCC-AR4 from a surface perspective , 2006 .

[44]  G. Hönninger,et al.  Reactive and organic halogen species in three different European coastal environments , 2005 .

[45]  Tami C. Bond,et al.  Critical assessment of the current state of scientific knowledge, terminology, and research needs concerning the role of organic aerosols in the atmosphere, climate, and global change , 2005 .

[46]  D. Hauglustaine,et al.  Radiative forcing since preindustrial times due to ozone change in the troposphere and the lower stratosphere , 2005 .

[47]  T. Nakajima,et al.  Aerosol radiative forcing over east Asia determined from ground-based solar radiation measurements : Global aerosol system , 2005 .

[48]  Kathleen A. Crean,et al.  Multiangle imaging spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations : Global aerosol system , 2005 .

[49]  Yoram J. Kaufman,et al.  Shortwave aerosol radiative forcing over cloud‐free oceans from Terra: 2. Seasonal and global distributions , 2005 .

[50]  S. Christopher,et al.  Shortwave aerosol radiative forcing over cloud‐free oceans from Terra: 1. Angular models for aerosols , 2005 .

[51]  C. Long,et al.  From Dimming to Brightening: Decadal Changes in Solar Radiation at Earth's Surface , 2005, Science.

[52]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[53]  Shepard A. Clough,et al.  Atmospheric radiative transfer modeling: a summary of the AER codes , 2005 .

[54]  Michael D. King,et al.  Aerosol properties over bright-reflecting source regions , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[55]  Martin Wild,et al.  Is the Hydrological Cycle Accelerating? , 2002, Science.

[56]  B. Holben,et al.  Validation of MODIS aerosol optical depth retrieval over land , 2002 .

[57]  Paul Ginoux,et al.  A Long-Term Record of Aerosol Optical Depth from TOMS Observations and Comparison to AERONET Measurements , 2002 .

[58]  V. Ramanathan,et al.  Direct observations of clear-sky aerosol radiative forcing from space during the Indian Ocean Experiment , 2001 .

[59]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[60]  C. Long,et al.  Identification of clear skies from broadband pyranometer measurements and calculation of downwelling shortwave cloud effects , 2000 .

[61]  S. K. Satheesh,et al.  Large differences in tropical aerosol forcing at the top of the atmosphere and Earth's surface , 2000, Nature.

[62]  P. Bhartia,et al.  Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation , 1998 .

[63]  A. J. Miller,et al.  Clouds and the Earth's Radiant Energy System (CERES): algorithm overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[64]  Z. Kam,et al.  Absorption and Scattering of Light by Small Particles , 1998 .

[65]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[66]  B. Barkstrom,et al.  Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment , 1996 .

[67]  B. Albrecht.  Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[68]  S. Twomey.  The Influence of Pollution on the Shortwave Albedo of Clouds , 1977 .

[69]  J. H. Ludwig,et al.  Climate Modification by Atmospheric Aerosols , 1967, Science.

[70]  D. Shindell,et al.  Anthropogenic and Natural Radiative Forcing , 2014 .

[71]  C. Hogrefe,et al.  Investigation of Trends in Aerosol Direct Radiative Effects over North America Using a Coupled Meteorology-Chemistry Model , 2014 .

[72]  Shuxiao Wang,et al.  Atmospheric Chemistry and Physics Source, Transport and Impacts of a Heavy Dust Event in the Yangtze River Delta, China, in 2011 , 2022 .