Automated Organization ProfileSchool of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 7.3 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1 NOTE: PLEASE, USE THE LATEST VERSION 1.1 OF THIS DATASET 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. Please be aware that there will be future versions of DustCOMM that incorporates more observational, modeling and experimental constraints. Please send an email to the corresponding authors if you have any question or would like to receive update of DustCOMM's future developments. 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. The dimensions in these dataset are denoted as:
lon [144] -- Longitude. Unit of degrees_east. Global - 2.5 deg resolution.
lat [96] -- Latitude. Unit of degrees_north. Global - ~2 deg resolution
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.
D [200] -- Dust Geometric Diameter. Unit of microns. From 0.2-20 microns.
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.
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Dust_Size_Distr_dVdD_annual.nc - Dimension: [lon, lat, lev, D]
Dust_Size_Distr_dVdD_seasonal.nc - Dimension: [nseas, lon, lat, lev, D] -- DustCOMM annual and seasonal climatologies of 3-D normalized dust (volume) size distribution. Fields include:
-> dVdD_mean -- Mean Normalized Dust Volume Size Distribution
-> dVdD_median -- Median Normalized Dust Volume Size Distribution
-> dVdD_Pos1sig -- +1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg1sig -- -1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Pos2sig -- +2 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg2sig -- -2 Sigma Normalized Dust Volume Size Distribution --------
Dust_3D_MEE_annual.nc - Dimension: [lon, lat, lev]
Dust_3D_MEE_seasonal.nc - Dimension: [nseas, lon, lat, lev] -- DustCOMM annual and seasonal climatologies of 3-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 3D Mass Extinction Efficiency
-> MEE_median -- Median Dust 3D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 3D Mass Extinction Efficiency --------
Dust_2D_MEE_annual.nc - Dimension: [lon, lat]
Dust_2D_MEE_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 2D Mass Extinction Efficiency
-> MEE_median -- Median Dust 2D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 2D Mass Extinction Efficiency --------
Dust_Load_annual.nc - Dimension: [lon, lat]
Dust_Load_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D atmospheric dust loading (g/m2). Fields include:
-> Load_mean -- Mean Atmospheric Dust Loading
-> Load_median -- Median Atmospheric Dust Loading
-> Load_Pos1sig -- +1 Sigma Atmospheric Dust Loading
-> Load_Neg1sig -- -1 Sigma Atmospheric Dust Loading
-> Load_Pos2sig -- +2 Sigma Atmospheric Dust Loading
-> Load_Neg2sig -- -2 Sigma Atmospheric Dust Loading ========================== Correspondng Authors:
Adeyemi Adebiyi and Jasper Kok
Department of Atmospheric and Oceanic Sciences,
University of California Los Angeles, CA, USA
Email: [email protected] and [email protected]
Authors
- Adebiyi Adeyemi ;
- Jasper, Kok ;
- Wang, Yang ;
- Ito, Akinori ;
- Ridley, David A. ;
- Nabat, Pierre ;
- Zhao, Chun
Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1.1 NOTE: PLEASE, USE THIS VERSION OF THE DATASET 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. Please be aware that there will be future versions of DustCOMM that incorporates more observational, modeling and experimental constraints. Please send an email to the corresponding authors if you have any question or would like to receive update of DustCOMM's future developments. 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. The dimensions in these dataset are denoted as:
lon [144] -- Longitude. Unit of degrees_east. Global - 2.5 deg resolution.
lat [96] -- Latitude. Unit of degrees_north. Global - ~2 deg resolution
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.
D [200] -- Dust Geometric Diameter. Unit of microns. From 0.2-20 microns.
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.
--------
Dust_Size_Distr_dVdD_annual.nc - Dimension: [lon, lat, lev, D]
Dust_Size_Distr_dVdD_seasonal.nc - Dimension: [nseas, lon, lat, lev, D] -- DustCOMM annual and seasonal climatologies of 3-D normalized dust (volume) size distribution. Fields include:
-> dVdD_mean -- Mean Normalized Dust Volume Size Distribution
-> dVdD_median -- Median Normalized Dust Volume Size Distribution
-> dVdD_Pos1sig -- +1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg1sig -- -1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Pos2sig -- +2 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg2sig -- -2 Sigma Normalized Dust Volume Size Distribution --------
Dust_3D_MEE_annual.nc - Dimension: [lon, lat, lev]
Dust_3D_MEE_seasonal.nc - Dimension: [nseas, lon, lat, lev] -- DustCOMM annual and seasonal climatologies of 3-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 3D Mass Extinction Efficiency
-> MEE_median -- Median Dust 3D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 3D Mass Extinction Efficiency --------
Dust_2D_MEE_annual.nc - Dimension: [lon, lat]
Dust_2D_MEE_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 2D Mass Extinction Efficiency
-> MEE_median -- Median Dust 2D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 2D Mass Extinction Efficiency --------
Dust_Load_annual.nc - Dimension: [lon, lat]
Dust_Load_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D atmospheric dust loading (g/m2). Fields include:
-> Load_mean -- Mean Atmospheric Dust Loading
-> Load_median -- Median Atmospheric Dust Loading
-> Load_Pos1sig -- +1 Sigma Atmospheric Dust Loading
-> Load_Neg1sig -- -1 Sigma Atmospheric Dust Loading
-> Load_Pos2sig -- +2 Sigma Atmospheric Dust Loading
-> Load_Neg2sig -- -2 Sigma Atmospheric Dust Loading ========================== Correspondng Authors:
Adeyemi Adebiyi and Jasper Kok
Department of Atmospheric and Oceanic Sciences,
University of California Los Angeles, CA, USA
Email: [email protected] and [email protected]
Authors
- Adebiyi Adeyemi ;
- Jasper, Kok ;
- Wang, Yang ;
- Ito, Akinori ;
- Ridley, David A. ;
- Nabat, Pierre ;
- Zhao, Chun
Dust Constraints from joint Observational-Modelling-experiMental analysis – DustCOMM Version 1.1 NOTE: PLEASE, USE THIS VERSION OF THE DATASET 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. Please be aware that there will be future versions of DustCOMM that incorporates more observational, modeling and experimental constraints. Please send an email to the corresponding authors if you have any question or would like to receive update of DustCOMM's future developments. 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. The dimensions in these dataset are denoted as:
lon [144] -- Longitude. Unit of degrees_east. Global - 2.5 deg resolution.
lat [96] -- Latitude. Unit of degrees_north. Global - ~2 deg resolution
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.
D [200] -- Dust Geometric Diameter. Unit of microns. From 0.2-20 microns.
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.
--------
Dust_Size_Distr_dVdD_annual.nc - Dimension: [lon, lat, lev, D]
Dust_Size_Distr_dVdD_seasonal.nc - Dimension: [nseas, lon, lat, lev, D] -- DustCOMM annual and seasonal climatologies of 3-D normalized dust (volume) size distribution. Fields include:
-> dVdD_mean -- Mean Normalized Dust Volume Size Distribution
-> dVdD_median -- Median Normalized Dust Volume Size Distribution
-> dVdD_Pos1sig -- +1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg1sig -- -1 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Pos2sig -- +2 Sigma Normalized Dust Volume Size Distribution
-> dVdD_Neg2sig -- -2 Sigma Normalized Dust Volume Size Distribution --------
Dust_3D_MEE_annual.nc - Dimension: [lon, lat, lev]
Dust_3D_MEE_seasonal.nc - Dimension: [nseas, lon, lat, lev] -- DustCOMM annual and seasonal climatologies of 3-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 3D Mass Extinction Efficiency
-> MEE_median -- Median Dust 3D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 3D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 3D Mass Extinction Efficiency --------
Dust_2D_MEE_annual.nc - Dimension: [lon, lat]
Dust_2D_MEE_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D dust mass extinction efficiency (m2/g). Fields include:
-> MEE_mean -- Mean Dust 2D Mass Extinction Efficiency
-> MEE_median -- Median Dust 2D Mass Extinction Efficiency
-> MEE_Pos1sig -- +1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg1sig -- -1 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Pos2sig -- +2 Sigma Dust 2D Mass Extinction Efficiency
-> MEE_Neg2sig -- -2 Sigma Dust 2D Mass Extinction Efficiency --------
Dust_Load_annual.nc - Dimension: [lon, lat]
Dust_Load_seasonal.nc - Dimension: [nseas, lon, lat] -- DustCOMM annual and seasonal climatologies of 2-D atmospheric dust loading (g/m2). Fields include:
-> Load_mean -- Mean Atmospheric Dust Loading
-> Load_median -- Median Atmospheric Dust Loading
-> Load_Pos1sig -- +1 Sigma Atmospheric Dust Loading
-> Load_Neg1sig -- -1 Sigma Atmospheric Dust Loading
-> Load_Pos2sig -- +2 Sigma Atmospheric Dust Loading
-> Load_Neg2sig -- -2 Sigma Atmospheric Dust Loading ========================== Correspondng Authors:
Adeyemi Adebiyi and Jasper Kok
Department of Atmospheric and Oceanic Sciences,
University of California Los Angeles, CA, USA
Email: [email protected] and [email protected]
Authors
- Adebiyi Adeyemi ;
- Jasper, Kok ;
- Wang, Yang ;
- Ito, Akinori ;
- Ridley, David A. ;
- Nabat, Pierre ;
- Zhao, Chun