Space-borne observations of aerosol - cloud relations for cloud systems of different heights

Abstract Here, we examine the aerosol - cloud relations over three major urban clusters of China, representative of three different climatic regimes, under different water vapor conditions and cloud heights, using Aerosol Optical Depth at 550 nm (AOD), Cloud Fraction (CC), Cloud Optical Depth (COD), Water Vapor (WV) and Cloud Top Pressure (CTP) data from the MODIS instrument. Over all regions and for all seasons, CC is found to increase with increasing AOD, WV and cloud height. Aerosols, at low WV environments and under constant CTP, have less impact on CC than at high WV environments. Furthermore, AOD has a varying influence on COD depending on CTP. Finally, COD is found to increase with height for low and middle height clouds, and with increasing AOD, especially at low AOD. Our results demonstrate that the role of WV in the observed satellite-based aerosol - cloud relations is significant for all cloud heights.

[1]  J. Chan,et al.  The East Asian summer monsoon: an overview , 2005 .

[2]  Zhanqing Li,et al.  Long-term impacts of aerosols on the vertical development of clouds and precipitation , 2011 .

[3]  Can Li,et al.  In situ measurements of trace gases and aerosol optical properties at a rural site in northern China during East Asian Study of Tropospheric Aerosols: An International Regional Experiment 2005 , 2007 .

[4]  W. Hao,et al.  Validation and understanding of Moderate Resolution Imaging Spectroradiometer aerosol products (C5) using ground-based measurements from the handheld Sun photometer network in China , 2007 .

[5]  Jianjun Liu,et al.  Systematic Changes in Cloud Radiative Forcing with Aerosol Loading for Deep Clouds in the Tropics , 2016 .

[6]  Zhanqing Li,et al.  Seasonal variations in aerosol optical properties over China , 2008 .

[7]  Zifa Wang,et al.  The impact of relative humidity on aerosol composition and evolution processes during wintertime in Beijing, China , 2013 .

[8]  J. Kiehl,et al.  Atmospheric brown clouds: impacts on South Asian climate and hydrological cycle. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[9]  R. Martin,et al.  Interannual and seasonal variability of biomass burning emissions constrained by satellite observations , 2003 .

[10]  Yoram J. Kaufman,et al.  Aerosol-cloud interaction inferred from MODIS satellite data and global aerosol models , 2006 .

[11]  K. Dueker,et al.  Crust and upper mantle velocity structure of the Yellowstone hot spot and surroundings , 2008 .

[12]  Y. Q. Wang,et al.  Atmospheric aerosol compositions in China: Spatial/temporal variability, chemical signature, regional haze distribution and comparisons with global aerosols , 2011 .

[13]  Xiuji Zhou,et al.  Long-term trend of visibility and its characterizations in the Pearl River Delta (PRD) region, China , 2008 .

[14]  Paolo Gasparini,et al.  Quantifying probabilities of volcanic events: the example of volcanic hazard at Mount Vesuvius , 2004 .

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

[16]  D. Koch,et al.  Black carbon semi-direct effects on cloud cover: review and synthesis , 2010 .

[17]  Aristeidis K. Georgoulias,et al.  A study of the impact of synoptic weather conditions and water vapor on aerosol–cloud relationships over major urban clusters of China , 2015 .

[18]  Xiaoxiong Xiong,et al.  Validation of MODIS aerosol optical depth product over China using CARSNET measurements , 2011 .

[19]  W. Paul Menzel,et al.  The MODIS cloud products: algorithms and examples from Terra , 2003, IEEE Trans. Geosci. Remote. Sens..

[20]  Zhanqing Li,et al.  Increase of wintertime fog in China: Potential impacts of weakening of the Eastern Asian monsoon circulation and increasing aerosol loading , 2010 .

[21]  Min Min,et al.  Multi-sensor quantification of aerosol-induced variability in warm clouds over eastern China , 2015 .

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

[23]  D. Streets,et al.  A technology‐based global inventory of black and organic carbon emissions from combustion , 2004 .

[24]  P. Stier,et al.  Satellite observations of cloud regime development: the role of aerosol processes , 2013 .

[25]  Yoram J. Kaufman,et al.  Satellite‐based assessment of marine low cloud variability associated with aerosol, atmospheric stability, and the diurnal cycle , 2006 .

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

[27]  Yoram J. Kaufman,et al.  Aerosol-cloud interaction-Misclassification of MODIS clouds in heavy aerosol , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Yuxiang Luo,et al.  A climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data , 2014 .

[29]  V. Ramanathan,et al.  Reduction of tropical cloudiness by soot , 2000, Science.

[30]  F. Bréon,et al.  Aerosol indirect effect on warm clouds over South-East Atlantic, from co-located MODIS and CALIPSO observations , 2012 .

[31]  David G. Streets,et al.  Sulfur dioxide emissions in China and sulfur trends in East Asia since 2000 , 2010 .

[32]  Jie Guang,et al.  Correlation between PM concentrations and aerosol optical depth in eastern China , 2009 .

[33]  H. Linderholm,et al.  Rain-season trends in precipitation and their effect in different climate regions of China during 1961–2008 , 2011 .

[34]  Oleg Dubovik,et al.  Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .

[35]  David G. Streets,et al.  Primary anthropogenic aerosol emission trends for China, 1990–2005 , 2011 .

[36]  X. Zhao,et al.  Analysis of a winter regional haze event and its formation mechanism in the North China Plain , 2013 .

[37]  Tianle Yuan,et al.  Increase of cloud droplet size with aerosol optical depth: An observation and modeling study , 2008 .

[38]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[39]  LI Chengcai,et al.  Validation of MODIS derived aerosol optical depth over the Yangtze River Delta in China , 2010 .

[40]  Lorraine A. Remer,et al.  Smoke Invigoration Versus Inhibition of Clouds over the Amazon , 2008, Science.

[41]  S. Tao,et al.  Changes in wind speed over China during 1956–2004 , 2009 .

[42]  R. Dickinson,et al.  Interannual variability of smoke and warm cloud relationships in the Amazon as inferred from MODIS retrievals , 2007 .

[43]  Mark Z. Jacobson,et al.  Microphysical and radiative effects of aerosols on warm clouds during the Amazon biomass burning season as observed by MODIS: impacts of water vapor and land cover , 2011 .

[44]  Johannes Quaas,et al.  Interpreting the cloud cover – aerosol optical depth relationship found in satellite data using a general circulation model , 2009 .

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

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

[47]  Lorraine A. Remer,et al.  The invigoration of deep convective clouds over the Atlantic: aerosol effect, meteorology or retrieval artifact? , 2010 .

[48]  T. Blaschke,et al.  Variability of aerosol optical depth and their impact on cloud properties in Pakistan , 2014 .

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

[50]  Bin Wang,et al.  The Asian monsoon , 2006 .

[51]  J. Hansen,et al.  Radiative forcing and climate response , 1997 .

[52]  Y. R. Chen,et al.  Air quality and emissions in the Yangtze River Delta, China , 2010 .

[53]  M. Jacobson.  Control of fossil‐fuel particulate black carbon and organic matter, possibly the most effective method of slowing global warming , 2002 .

[54]  Ilan Koren,et al.  Measurement of the Effect of Amazon Smoke on Inhibition of Cloud Formation , 2004, Science.

[55]  N. Jones,et al.  Seasonal variation of carbon monoxide in northern Japan: Fourier transform IR measurements and source-labeled model calculations , 2006 .

[56]  B. Padmakumari,et al.  Radiative effect of dust aerosols on cloud microphysics and meso-scale dynamics during monsoon breaks over Arabian sea , 2015 .

[57]  Y. Kaufman,et al.  Aerosol invigoration and restructuring of Atlantic convective clouds , 2005 .

[58]  J. Hansen,et al.  Climate Effects of Black Carbon Aerosols in China and India , 2002, Science.

[59]  D. Tanré,et al.  Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .

[60]  D. Tanré,et al.  Spatial and temporal variability of aerosol: size distribution and optical properties , 2003 .

[61]  H. Che,et al.  Spatio-temporal variation trends of satellite-based aerosol optical depth in China during 1980-2008 , 2011 .

[62]  Jing Zhao,et al.  Satellite observed aerosol-induced variability in warm cloud properties under different meteorological conditions over eastern China , 2014 .

[63]  E. Vermote,et al.  Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .

[64]  Zhanqing Li,et al.  Estimation of aerosol single scattering albedo from solar direct spectral radiance and total broadband irradiances measured in China , 2007 .

[65]  S. Twomey.  Pollution and the Planetary Albedo , 1974 .

[66]  J. Marshall Shepherd,et al.  Inclusion of Urban Landscape in a Climate Model: How Can Satellite Data Help? , 2005 .

[67]  Ke Zhang,et al.  Sensitivity of pan-Arctic terrestrial net primary productivity simulations to daily surface meteorology from NCEP-NCAR and ERA-40 reanalyses , 2007 .

[68]  M. Domrös,et al.  The climate of China , 1987 .

[69]  M. Andreae,et al.  Size Matters More Than Chemistry for Cloud-Nucleating Ability of Aerosol Particles , 2006, Science.

[70]  David G. Streets,et al.  Aerosol trends over China, 1980-2000 , 2008 .

[71]  W. Paul Menzel,et al.  Cloud and aerosol properties, precipitable water, and profiles of temperature and water vapor from MODIS , 2003, IEEE Trans. Geosci. Remote. Sens..

[72]  Xiangao Xia,et al.  Evaluation of the Moderate Resolution Imaging Spectroradiometer aerosol products at two Aerosol Robotic Network stations in China , 2007 .