2620475
doi
10.5281/zenodo.2620475
oai:zenodo.org:2620475
Kok Jasper
Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, CA, USA
Yang Wang
Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, CA, USA
Akinori Ito
Yokohama Institute for Earth Sciences, JAMSTEC, Yokohama, Kanagawa, 236-0001, Japan
David A. Ridley
Monitoring & Laboratory Division, California Air Resources Board, Sacramento, CA, USA
Pierre Nabat
Centre National de Recherches Météorologiques, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Chun Zhao
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1
Adebiyi Adeyemi
Department of Atmospheric and Oceanic Sciences, University of California Los Angeles, CA, USA
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Mineral Dust
Dust size distribution
mass extinction efficiency
Dust loading
<p>Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1</p>
<p><strong>NOTE: PLEASE, USE THE LATEST VERSION 1.1 OF THIS DATASET</strong></p>
<p>This is the version-1 of DustCOMM dataset (Adebiyi et al. Geoscientific Model Development), containing annual and seasonal climatologies of constrained dust aerosol properties, including spatially-varying dust size distribution, mass extinction efficiency, and atmospheric dust loading.</p>
<p>Please be aware that there will be future versions of DustCOMM that incorporates more observational, modeling and experimental constraints.</p>
<p>Please send an email to the corresponding authors if you have any question or would like to receive update of DustCOMM's future developments.</p>
<p>Below, we give a brief description of each data file. In each, we have included the mean, median, 1 and 2 sigma uncertainty estimates as a function of location. These uncertainty estimates are derived from probability distributions that describe the field over each location. Please contact the corresponding authors if you are interested in the full dataset.</p>
<p>The dimensions in these dataset are denoted as:<br>
lon [144] -- Longitude. Unit of degrees_east. Global - 2.5 deg resolution.<br>
lat [96] -- Latitude. Unit of degrees_north. Global - ~2 deg resolution<br>
lev [35] -- Pressure levels. Unit of hPa. ~900 hPa to 100 hPa. Lower resolution in the boundary layer and higher resolution in the free troposphere.<br>
D [200] -- Dust Geometric Diameter. Unit of microns. From 0.2-20 microns.<br>
nseas [4] -- Seasons. They are DJF, MAM, JJA, and SON corresponding to December-January-February, March-April-May, June-July-August, and September-October-December respectively.</p>
<p><br>
--------<br>
Dust_Size_Distr_dVdD_annual.nc - Dimension: [lon, lat, lev, D]<br>
Dust_Size_Distr_dVdD_seasonal.nc - Dimension: [nseas, lon, lat, lev, D]</p>
<p>-- DustCOMM annual and seasonal climatologies of 3-D normalized dust (volume) size distribution. Fields include:<br>
-> dVdD_mean -- Mean Normalized Dust Volume Size Distribution<br>
-> dVdD_median -- Median Normalized Dust Volume Size Distribution<br>
-> dVdD_Pos1sig -- +1 Sigma Normalized Dust Volume Size Distribution<br>
-> dVdD_Neg1sig -- -1 Sigma Normalized Dust Volume Size Distribution<br>
-> dVdD_Pos2sig -- +2 Sigma Normalized Dust Volume Size Distribution<br>
-> dVdD_Neg2sig -- -2 Sigma Normalized Dust Volume Size Distribution</p>
<p>--------<br>
Dust_3D_MEE_annual.nc - Dimension: [lon, lat, lev]<br>
Dust_3D_MEE_seasonal.nc - Dimension: [nseas, lon, lat, lev]</p>
<p>-- DustCOMM annual and seasonal climatologies of 3-D dust mass extinction efficiency (m2/g). Fields include:<br>
-> MEE_mean -- Mean Dust 3D Mass Extinction Efficiency<br>
-> MEE_median -- Median Dust 3D Mass Extinction Efficiency<br>
-> MEE_Pos1sig -- +1 Sigma Dust 3D Mass Extinction Efficiency<br>
-> MEE_Neg1sig -- -1 Sigma Dust 3D Mass Extinction Efficiency<br>
-> MEE_Pos2sig -- +2 Sigma Dust 3D Mass Extinction Efficiency<br>
-> MEE_Neg2sig -- -2 Sigma Dust 3D Mass Extinction Efficiency</p>
<p>--------<br>
Dust_2D_MEE_annual.nc - Dimension: [lon, lat]<br>
Dust_2D_MEE_seasonal.nc - Dimension: [nseas, lon, lat]</p>
<p>-- DustCOMM annual and seasonal climatologies of 2-D dust mass extinction efficiency (m2/g). Fields include:<br>
-> MEE_mean -- Mean Dust 2D Mass Extinction Efficiency<br>
-> MEE_median -- Median Dust 2D Mass Extinction Efficiency<br>
-> MEE_Pos1sig -- +1 Sigma Dust 2D Mass Extinction Efficiency<br>
-> MEE_Neg1sig -- -1 Sigma Dust 2D Mass Extinction Efficiency<br>
-> MEE_Pos2sig -- +2 Sigma Dust 2D Mass Extinction Efficiency<br>
-> MEE_Neg2sig -- -2 Sigma Dust 2D Mass Extinction Efficiency</p>
<p>--------<br>
Dust_Load_annual.nc - Dimension: [lon, lat]<br>
Dust_Load_seasonal.nc - Dimension: [nseas, lon, lat]</p>
<p>-- DustCOMM annual and seasonal climatologies of 2-D atmospheric dust loading (g/m2). Fields include:<br>
-> Load_mean -- Mean Atmospheric Dust Loading<br>
-> Load_median -- Median Atmospheric Dust Loading<br>
-> Load_Pos1sig -- +1 Sigma Atmospheric Dust Loading<br>
-> Load_Neg1sig -- -1 Sigma Atmospheric Dust Loading<br>
-> Load_Pos2sig -- +2 Sigma Atmospheric Dust Loading<br>
-> Load_Neg2sig -- -2 Sigma Atmospheric Dust Loading</p>
<p>==========================</p>
<p><strong>Correspondng Authors:</strong><br>
Adeyemi Adebiyi and Jasper Kok<br>
Department of Atmospheric and Oceanic Sciences,<br>
University of California Los Angeles, CA, USA<br>
Email: aadebiyi@ucla.edu and jfkok@ucla.edu</p>
This work was developed with support from the University of California President's Postdoctoral Fellowship awarded to A.A.A. We also acknowledge support from National Science Foundation (NSF) grants 1552519 and 1856389 awarded to J.F.K. Chun Zhao is supported by the National Natural Science Foundation of China NSFC (Grant No. 41775146), and Akinori Ito is supported by the Japan Society for the Promotion of Science KAKENHI Grant Number JP16K00530 and Integrated Research Program for Advancing Climate Models (MEXT).
Zenodo
2019-04-01
info:eu-repo/semantics/other
2620474
version 1
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isVersionOf
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