Published March 30, 2022 | Version Version 1

Dataset used for climatology of aerosol components concentration derived by GRASP algorithm from POLDER-3 observations

  • 1. Chinese Academy of Meteorological Sciences
  • 2. University of Lille

Description

Dataset used for climatology of aerosol components concentration derived by GRASP algorithm from POLDER-3 observations

1. POLDER-3/GRASP aerosol component columnar volume concentration (0.001 mm3/m2) products (0.1 x 0.1 degree) for 2005-2013

  • Black carbon (BC) in fine mode
  • Brown carbon (BrC) in fine mode
  • Insoluble component in fine mode
  • Soluble component in fine mode
  • Aerosol water content in fine mode
  • Absorbing component (iron in dust) in coarse mode
  • Insoluble scattering component (mainly scattering dust) in coarse mode

2.  Climatology of POLDER-3/GRASP aerosol component products (0.1 x 0.1 degree) in different seasons for 2005-2013

  • DJF (December-January-February ) season
  • MAM (March-April-May) season
  • JJA (June-July-August) season
  • SON (September-October-November) season

Columnar mass concentration can be calculated from volume concentration by the component density. Here, the density suggested is 1.8 g/cm3 for BC, 1.2 g/cm3 for BrC, 1.8 g/cm3 for fine mode insoluble component, 1.76 g/cm3 for fine mode soluble component, 1.0 g/cm3 for fine mode aerosol water, 2.5 g/cm3 for coarse mode insoluble component, 4.8 g/cm3 for coarse mode absorbing component.

Please follow the data policy of each data source:

POLDER-3/GRASP: GRASP-OPEN (https://www.grasp-open.com/products/)

 Details can be found in manuscript:

Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik. Climatology of aerosol components concentration derived by GRASP algorithm from multi-angular polarimetric POLDER-3 observations. submitted to ESSD, 2022.

Files

Files (2.0 GB)

Name Size
md5:93f8cfaa486ed602500278de491a47da
151.9 MB Download
md5:c85cc79be4e24f3f7b90679ed9044767
153.4 MB Download
md5:78e13adde2e8b99ef1cbec43ec9d9af7
153.4 MB Download
md5:7d74a2521aac5d8f33be5711fceb7bcf
153.4 MB Download
md5:0daa9a1987fa0795f89c7ac5e53ba276
153.8 MB Download
md5:f287da336e1dff22d659f3643c8d84c2
153.1 MB Download
md5:f5c9c4cc44fc5d6573344f1b2c36a922
153.3 MB Download
md5:d14f3da1e5c5f42d0e196fd797423b0d
153.5 MB Download
md5:3be2545c0f0d48c1a50cb5d189e82f82
152.0 MB Download
md5:46d1753e08fc0240edbf4d7fdc0b34ed
141.3 MB Download
md5:8fab4d4837fa118d9a17912ac64264fa
145.8 MB Download
md5:5875c8875d3be16ca37b6b8a3ccc5b06
149.9 MB Download
md5:413f322e1b6e8393d8dda1c7683e65f2
152.7 MB Download