Characterization of aerosol optical depth, aerosol mass concentration, UV irradiance and black carbon aerosols over Indo-Gangetic plains, India, during fog period

2010 ◽  
Vol 111 (1-2) ◽  
pp. 65-73 ◽  
Author(s):  
K. V. S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
T. R. Kiran Chand ◽  
K. Madhavi Latha
Keyword(s):  
Black Carbon ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Mass Concentration ◽  
Gangetic Plains ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Uv Irradiance ◽  
Carbon Aerosols

scholarly journals Black carbon aerosol mass concentration variation in urban and rural environments of India-a case study

2009 ◽  
Vol 10 (1) ◽  
pp. 29-33 ◽  
Author(s):  
K. V. S. Badarinath ◽  
Shailesh Kumar Kharol ◽  
R. R. Reddy ◽  
K. Rama Gopal ◽  
K. Narasimhulu ◽  
...  
Keyword(s):  
Black Carbon ◽  
Mass Concentration ◽  
Concentration Variation ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Rural Environments ◽  
Black Carbon Aerosol

scholarly journals Biomass burning impact on black carbon aerosol mass concentration at a coastal site: Case studies

2010 ◽  
Vol 50 (3) ◽  
pp. 335-344 ◽  
Author(s):  
Vidmantas Ulevičius ◽  
S. Byčenkienė ◽  
N. Špirkauskaitė ◽  
S. Kecorius
Keyword(s):  
Black Carbon ◽  
Case Studies ◽  
Biomass Burning ◽  
Mass Concentration ◽  
Coastal Site ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Black Carbon Aerosol

scholarly journals Spatial distributions and seasonal cycles of aerosols in India and China seen in global climate-aerosol model

2011 ◽  
Vol 11 (2) ◽  
pp. 4017-4057 ◽  
Author(s):  
S. V. Henriksson ◽  
A. Laaksonen ◽  
V.-M. Kerminen ◽  
P. Räisänen ◽  
H. Järvinen ◽  
...  
Keyword(s):  
Optical Depth ◽  
Mass Concentration ◽  
Seasonal Cycles ◽  
Spatial Distributions ◽  
Aerosol Model ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Natural Aerosols ◽  
The Ganges ◽  
India And China

Abstract. A climate-aerosol model is employed to study spatial and temporal variability of aerosol properties over India and China for recent (year 2006) and future conditions (year 2020) under different emission pathways. We present results for aerosol mass concentration in different size classes and optical properties for the five different aerosol species treated by the model. Aerosol mass concentration and optical depth have significant contributions from both anthropogenic and natural aerosols. Different species have maxima in different regions, with the highest anthropogenic aerosol concentrations found in Kolkata and elsewhere in the Ganges basin in India and on the northern part of the east coast and in the Sichuan basin in China. In India natural aerosols have a maximum in the summer due to higher wind speeds and anthropogenic aerosols have a maximum in the winter due to less efficient wet removal. Surface concentrations are also higher in winter due to the additional reason of lower average boundary layer height. In China seasonal cycles are weaker with natural aerosols having a maximum in the spring and sulfate contribution to the aerosol optical depth (AOD) being higher in the latter half of the year. MODIS AOD spatial distributions are reproduced well by the model, except for the Ganges valley with high absorption and for the Thar desert with high dust concentrations. Seasonal cycles compare well qualitatively with MODIS results. The larger AOD in China during the latter half of the year in the year 2006 simulation as compared to the MODIS data can be traced back to sulfate contribution with some contribution also from natural aerosols.

scholarly journals Spatial distributions and seasonal cycles of aerosols in India and China seen in global climate-aerosol model

2011 ◽  
Vol 11 (15) ◽  
pp. 7975-7990 ◽  
Author(s):  
S. V. Henriksson ◽  
A. Laaksonen ◽  
V.-M. Kerminen ◽  
P. Räisänen ◽  
H. Järvinen ◽  
...  
Keyword(s):  
Optical Depth ◽  
Mass Concentration ◽  
Seasonal Cycles ◽  
Spatial Distributions ◽  
Aerosol Model ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Natural Aerosols ◽  
The Ganges ◽  
India And China

Abstract. A climate-aerosol model is employed to study spatial and temporal variability of aerosol properties over India and China for recent (year 2006) and future conditions (year 2020) under different emission pathways. We present results for aerosol mass concentration in different size classes and optical properties for the five different aerosol species treated by the model. Aerosol mass concentration and optical depth have significant contributions from both anthropogenic and natural aerosols. Different species have maxima in different regions, with the highest anthropogenic aerosol concentrations found in Kolkata and elsewhere in the Ganges basin in India and on the northern part of the east coast and in the Sichuan basin in China. In India, natural aerosols have a maximum in the summer due to higher wind speeds, whereas anthropogenic aerosols have a maximum in the winter due to less efficient wet removal. Surface concentrations also tend to be higher in winter due to the additional reason of lower average boundary layer height. In China, seasonal cycles are weaker with natural aerosols having a maximum in the spring and sulfate contribution to the aerosol optical depth (AOD) being higher in the latter half of the year. MODIS AOD spatial distributions are reproduced well by the model, except for the Ganges valley with high absorption and for the Thar desert with high dust concentrations. Seasonal cycles compare qualitatively well with MODIS measurements.

Aerosol mass concentration measurements: Recent advancements of real-time nano/micro systems

2017 ◽  
Vol 114 ◽  
pp. 42-54 ◽  
Author(s):  
U. Soysal ◽  
E. Géhin ◽  
E. Algré ◽  
B. Berthelot ◽  
G. Da ◽  
...  
Keyword(s):  
Real Time ◽  
Mass Concentration ◽  
Aerosol Mass ◽  
Aerosol Mass Concentration ◽  
Concentration Measurements ◽  
Micro Systems

scholarly journals Aerosol optical depth in the European Brewer Network

2017 ◽  
Author(s):  
Javier López-Solano ◽  
Alberto Redondas ◽  
Thomas Carlund ◽  
Juan J. Rodriguez-Franco ◽  
Henri Diémoz ◽  
...  
Keyword(s):  
Real Time ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Temporal Variability ◽  
Input Data ◽  
Spatial And Temporal Variability ◽  
Ultraviolet Range ◽  
Using Data ◽  
Better Than

Abstract. The high spatial and temporal variability of aerosols make networks capable of measuring their properties in near real time of high scientific interest. In this work we present and discuss results of an aerosol optical depth algorithm to be used in the European Brewer Network, which provides data in near real time of more than 30 spectrophotometers located from Tamanrasset (Algeria) to Kangerlussuaq (Greenland). Using data from the Brewer Intercomparison Campaigns in the years 2013 and 2015, and the period in between, plus comparisons with Cimel sunphotometers and UVPFR instruments, we check the precision, stability, and uncertainty of the Brewer AOD in the ultraviolet range from 300 to 320 nm. Our results show a precision better than 0.01, an uncertainty of less than 0.05, and a stability similar to that of the ozone measurements for well-maintained instruments. We also discuss future improvements to our algorithm with respect to the input data, their processing, and the characterization of the Brewer instruments for the measurement of aerosols.

scholarly journals Spatial Characterization of Black Carbon Mass Concentration in the Atmosphere of a Southeast Asian Megacity: An Air Quality Case Study for Metro Manila, Philippines

2018 ◽  
Vol 18 (9) ◽  
pp. 2301-2317 ◽  
Author(s):  
Honey Dawn Alas ◽  
Thomas Müller ◽  
Wolfram Birmili ◽  
Simonas Kecorius ◽  
Maria Obiminda Cambaliza ◽  
...  
Keyword(s):  
Air Quality ◽  
Black Carbon ◽  
Mass Concentration ◽  
Southeast Asian ◽  
Spatial Characterization ◽  
Metro Manila ◽  
Carbon Mass
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