Arctic Aerosol Timing Analysis Based On MODIS Aerosol Products

The Arctic has a unique geographical environment. In recent years, the Arctic has undergone major changes, including an increase in temperature, a decrease in the extent and thickness of sea ice, and the reasons for these changes have yet to be further studied. In the Arctic, aerosol is an important factor that causes the temperature and environmental change. The lack of ground-based observation data in the Arctic makes satellite remote sensing an effective means for aerosol monitoring.We first selected the C61 version of the MODIS Level2 10 KM aerosol product from 2000 to 2018 as the Arctic's aerosol monitoring data. Then the products Aerosol Optical Depth (AOD) was evaluated by 20 ground-based AERONET (AErosol RObotic NETwork) sites in the Arctic. Based on the data with high quality control, the monthly averaged AOD in the Arctic were analyzed. Results show that: 1. MODIS AOD is overestimated in the Arctic and requires quality control to obtain more reliable results; 2. The monthly averaged AOD in the Arctic region does not exceed 0.3 with maximum 0.25 and minimum 0.027, and the average monthly AOD value of 18 years is 0.111. Usually, AOD peaks in summer and has a valley in autumn and winter, but it rises in spring with the Arctic haze events.

[1]  A. Stohl,et al.  Arctic smoke – record high air pollution levels in the European Arctic due to agricultural fires in Eastern Europe in spring 2006 , 2006 .

[2]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[3]  John P. Burrows,et al.  Remote sensing of aerosols over snow using infrared AATSR observations , 2011 .

[4]  Yong Xue,et al.  Aerosol optical depth retrieval in the Arctic region using MODIS data over snow , 2013 .

[5]  Drew T. Shindell,et al.  Climate response to regional radiative forcing during the twentieth century , 2009 .

[6]  Yiran Peng,et al.  MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison , 2019, Atmospheric Environment.

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

[8]  F. Bréon,et al.  A satellite- and model-based assessment of the 2003 Russian fires: Impact on the Arctic region , 2007 .

[9]  Gerrit de Leeuw,et al.  The ADV/ASV AATSR aerosol retrieval algorithm: current status and presentation of a full-mission AOD dataset , 2016, Int. J. Digit. Earth.

[10]  Ralph A. Kahn,et al.  Updated MISR Dark Water Research Aerosol Retrieval Algorithm - Part 1: Coupled 1.1 km Ocean Surface Chlorophyll a Retrievals with Empirical Calibration Corrections , 2017 .

[11]  Jasper R. Lewis,et al.  Advancements in the Aerosol Robotic Network (AERONET) Version 3 database – automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements , 2019, Atmospheric Measurement Techniques.

[12]  Brent N. Holben,et al.  Retrieving near‐global aerosol loading over land and ocean from AVHRR , 2017 .

[13]  Jin Huang,et al.  Enhanced Deep Blue aerosol retrieval algorithm: The second generation , 2013 .

[14]  Yong Xue,et al.  Aerosol optical depth retrieval over snow using AATSR data , 2013 .

[15]  Jason E. Box,et al.  The urgency of Arctic change , 2019, Polar Science.

[16]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[17]  Anders Ångström,et al.  On the Atmospheric Transmission of Sun Radiation and on Dust in the Air , 1929 .

[18]  Sietse O. Los,et al.  A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR , 2012 .