Analysis of aerosol distribution variations over China for the period 2045–2050 under different Representative Concentration Pathway scenarios

Aerosol distribution with fine spatial resolution is crucial for atmospheric environmental management. This paper proposes an improved algorithm of aerosol retrieval from 250-m Medium Resolution Spectral Image (MERSI) data of Chinese FY-3 satellites. A mixing model of soil and vegetation was used to calculate the parameters of the algorithm from moderate-resolution imaging spectroradiometer (MODIS) reflectance products in 500-m resolution. The mixing model was used to determine surface reflectance in blue band, and the 250-m aerosol optical depth (AOD) was retrieved through removing surface contributions from MERSI data over Guangzhou. The algorithm was used to monitor two pollution episodes in Guangzhou in 2015, and the results displayed an AOD spatial distribution with 250-m resolution. Compared with the yearly average of MODIS aerosol products in 2015, the 250-m resolution AOD derived from the MERSI data exhibited great potential for identifying air pollution sources. Daily AODs derived from MERSI data were compared with ground results from CE318 measurements. The results revealed a correlation coefficient between the AODs from MERSI and those from the ground measurements of approximately 0.85, and approximately 68% results were within expected error range of ±(0.05 + 15%τ).

Download Full-text

Snow/rainfall anomaly in winter of northern China and associated atmospheric circulation and aerosol distribution features

Acta Meteorologica Sinica ◽

10.1007/s13351-011-0609-3 ◽

2011 ◽

Vol 25 (6) ◽

pp. 783-796 ◽

Cited By ~ 5

Author(s):

Duo Li ◽

Jizhi Wang ◽

Zechun Li ◽

Hua Liu

Keyword(s):

Atmospheric Circulation ◽

Northern China ◽

Rainfall Anomaly ◽

Aerosol Distribution ◽

Distribution Features

Download Full-text

Corrigendum to "Modeling and evaluation of the global sea-salt aerosol distribution: sensitivity to size-resolved and sea-surface temperature dependent emission schemes" published in Atmos. Chem. Phys., 13, 11735–11755, 2013

Atmospheric Chemistry and Physics ◽

10.5194/acp-13-11985-2013 ◽

2013 ◽

Vol 13 (23) ◽

pp. 11985-11985

Author(s):

M. Spada ◽

O. Jorba ◽

C. Pérez García-Pando ◽

Z. Janjic ◽

J. M. Baldasano

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Chem Phys ◽

Sea Salt ◽

Sea Surface ◽

Temperature Dependent ◽

Sea Salt Aerosol ◽

Aerosol Distribution ◽

Distribution Sensitivity

Download Full-text

Seasonal monitoring and estimation of regional aerosol distribution over Po valley, northern Italy, using a high-resolution MAIAC product

Atmospheric Environment ◽

10.1016/j.atmosenv.2016.06.037 ◽

2016 ◽

Vol 141 ◽

pp. 106-121 ◽

Cited By ~ 17

Author(s):

Barbara Arvani ◽

R. Bradley Pierce ◽

Alexei I. Lyapustin ◽

Yujie Wang ◽

Grazia Ghermandi ◽

...

Keyword(s):

High Resolution ◽

Northern Italy ◽

Po Valley ◽

Aerosol Distribution ◽

Seasonal Monitoring

Download Full-text

STANDARDIZED PRECIPITATION INDEX (SPI) AND STANDARDIZED PRECIPITATION EVAPOTRANSPIRATION INDEX (SPEI) DROUGHT CHARACTERISTIC AND TREND ANALYSIS USING THE SECOND GENERATION CANADIAN EARTH SYSTEM MODEL (CanESM2) OUTPUTS UNDER REPRESENTATIVE CONCENTRATION PATHWAY (RCP) 8.5

Carpathian Journal of Earth and Environmental Sciences ◽

10.26471/cjees/2019/014/089 ◽

2019 ◽

Vol 14 (2) ◽

pp. 399-408

Author(s):

Kit Fai FUNG ◽

◽

Yuk Feng HUANG ◽

Chai Hoon KOO ◽

Kok Weng TAN

Keyword(s):

Trend Analysis ◽

Second Generation ◽

Standardized Precipitation Index ◽

Earth System Model ◽

Representative Concentration Pathway ◽

System Model ◽

Earth System ◽

Standardized Precipitation Evapotranspiration Index ◽

Rcp 8.5 ◽

Drought Characteristic

Download Full-text

Aerosol distribution around Svalbard during intense easterly winds

Atmospheric Chemistry and Physics ◽

10.5194/acp-10-1473-2010 ◽

2010 ◽

Vol 10 (4) ◽

pp. 1473-1490 ◽

Cited By ~ 22

Author(s):

A. Dörnbrack ◽

I. S. Stachlewska ◽

C. Ritter ◽

R. Neuber

Keyword(s):

Sea Salt ◽

Airborne Lidar ◽

The Arctic ◽

Aerosol Layer ◽

Atmospheric Conditions ◽

Sea Salt Aerosols ◽

Aerosol Distribution ◽

Weather Situation ◽

Low Level Jet ◽

Aerosol Plume

Abstract. This paper reports on backscatter and depolarization measurements by an airborne lidar in the Arctic during the ASTAR 2004 campaign. A unique weather situation facilitated the observation of the aerosol concentration under strongly forced atmospheric conditions. The vigorous easterly winds distorted the flow past Svalbard in such a way that mesoscale features were visible in the remote-sensing observations: The formation of a well-mixed aerosol layer inside the Adventdalen and the subsequent thinning of the aerosol plume were observed over the Isfjorden. Additionally, mobilization of sea salt aerosols due to a coastal low-level jet at the northern tip of Svalbard resulted in a sloped boundary layer toward north. Mesoscale numerical modelling was applied to identify the sources of the aerosol particles and to explain the observed patterns.

Download Full-text

Seven year satellite observations of the mean structures and variabilities in the regional aerosol distribution over the oceanic areas around the Indian subcontinent

Annales Geophysicae ◽

10.5194/angeo-23-2011-2005 ◽

2005 ◽

Vol 23 (6) ◽

pp. 2011-2030 ◽

Cited By ~ 24

Author(s):

S. K. Nair ◽

K. Parameswaran ◽

K. Rajeev

Keyword(s):

Indian Ocean ◽

Southern Hemisphere ◽

Bay Of Bengal ◽

Arabian Sea ◽

Indian Subcontinent ◽

Monsoon Season ◽

Dry Season ◽

Aerosol Transport ◽

Summer Monsoon Season ◽

Aerosol Distribution

Abstract. Aerosol distribution over the oceanic regions around the Indian subcontinent and its seasonal and interannual variabilities are studied using the aerosol optical depth (AOD) derived from NOAA-14 and NOAA-16 AVHRR data for the period of November 1995–December 2003. The air-mass types over this region during the Asian summer monsoon season (June–September) are significantly different from those during the Asian dry season (November–April). Hence, the aerosol loading and its properties over these oceanic regions are also distinctly different in these two periods. During the Asian dry season, the Arabian Sea and Bay of Bengal are dominated by the transport of aerosols from Northern Hemispheric landmasses, mainly the Indian subcontinent, Southeast Asia and Arabia. This aerosol transport is rather weak in the early part of the dry season (November–January) compared to that in the later period (February–April). Large-scale transport of mineral dust from Arabia and the production of sea-salt aerosols, due to high surface wind speeds, contribute to the high aerosol loading over the Arabian Sea region during the summer monsoon season. As a result, the monthly mean AOD over the Arabian Sea shows a clear annual cycle with the highest values occurring in July. The AOD over the Bay of Bengal and the Southern Hemisphere Indian Ocean also displays an annual cycle with maxima during March and October, respectively. The amplitude of the annual variation is the largest in coastal Arabia and the least in the Southern Hemisphere Indian Ocean. The interannual variability in AOD is the largest over the Southeast Arabian Sea (seasonal mean AOD varies from 0.19 to 0.42) and the northern Bay of Bengal (seasonal mean AOD varies from 0.24 to 0.39) during the February–April period and is the least over the Southern Hemisphere Indian Ocean. This study also investigates the altitude regions and pathways of dominant aerosol transport by combining the AOD distribution with the atmospheric circulation. Keywords. Atmospheric composition and structure (Aerosols and particles) – Meteorology and atmospheric dynamics (Climatology) – Oceanography: physical (Ocean fog and aerosols)

Download Full-text