Repository logo
 

Data associated with "Constraining aerosol phase function using dual-view geostationary satellites"

Simple item page
dc.contributor.authorBian, Qijing
dc.contributor.authorKreidenweis, Sonia
dc.contributor.authorChiu, J. Christine
dc.contributor.authorMiller, Steven D.
dc.contributor.authorXu, Xiaoguang
dc.contributor.authorWang, Jun
dc.contributor.authorKahn, Ralph A.
dc.contributor.authorLimbacher, James A.
dc.contributor.authorRemer, Lorraine A.
dc.contributor.authorLevy, Robert C.
dc.coverage.spatialGulf of Mexicoen_US
dc.coverage.temporal2019-06-24, 2020-06-29en_US
dc.date.accessioned2021-10-13T22:11:07Z
dc.date.available2021-10-13T22:11:07Z
dc.date.issued2021
dc.descriptionThe dataset includes the data for figures shown in the paper. Two opposing GEOS satellites capture a dust event in the Gulf of Mexico in June 2019. We demonstrate a first-guess phase function to reconstruct dust phase function by leveraging GEOS satellites. We then evaluate our methodology using a different dust event over the Gulf of Mexico in June 2020.en_US
dc.descriptionDepartment of Atmospheric Science
dc.descriptionCooperative Institute for Research in the Atmosphere
dc.description.abstractPassive satellite observations play an important role in monitoring global aerosol properties and helping quantify aerosol radiative forcing in the climate system. The quality of aerosol retrievals from the satellite platform relies on well-calibrated radiance measurements from multiple spectral bands, and the availability of appropriate particle optical models. Inaccurate scattering phase function assumptions can introduce large retrieval errors. High-spatial resolution, dual-view observations from the Advanced Baseline Imagers (ABI) on board the two most recent Geostationary Operational Environmental Satellites (GOES), East and West, provide a unique opportunity to better constrain the aerosol phase function. Using dual GOES reflectance measurements for a dust event in the Gulf of Mexico in 2019, we demonstrate how a first-guess phase function can be reconstructed by considering the variations in observed scattering angle throughout the day. Using the reconstructed phase function, aerosol optical depth retrievals from the two satellites are self-consistent and agree well with surface-based optical depth estimates. We evaluate our methodology and reconstructed phase function against independent retrievals made from low-Earth-orbit multi-angle observations for a different dust event in 2020. Our new aerosol optical depth retrievals have a root-mean-square-difference of 0.019– 0.047. Furthermore, the retrievals between the two geostationary satellites for this case agree within about 0.059±0.072, as compared to larger discrepancies between the operational GOES products at times, which do not employ the dual-view technique.en_US
dc.description.sponsorshipThis work is based upon research supported by the U. S. Office of Naval Research under Multidisciplinary University Research Initiative (MURI) Grant N00014-16-1-2040. JW and XX are supported by the same MURI grant to the University of Iowa. RK and JAL are supported by NASA’s Climate and Radiation Research and Analysis Program under Hal Maring, the Atmospheric Composition Program under Richard Eckman, and the EOS Terra and MISR projects. NASA's Making Earth System Data Records for Use in Research Environments (MEaSUREs) program (NNH17ZDA001N-MEASURES) provided partial support of LR and RL.en_US
dc.format.mediumZIP
dc.format.mediumCSV
dc.format.mediumHDF5
dc.identifier.urihttps://hdl.handle.net/10217/233960
dc.identifier.urihttp://dx.doi.org/10.25675/10217/233960
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyBian, Q., Kreidenweis, S., Chiu, J. C., Miller, S. D., Xu, X., Wang, J., et al. (2021). Constraining aerosol phase function using dual-view geostationary satellites. Journal of Geophysical Research: Atmospheres, 126, e2021JD035209. https://doi.org/10.1029/2021JD035209
dc.rights.licenseThis material is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGEOSen_US
dc.subjectdust modelen_US
dc.subjectphase functionen_US
dc.titleData associated with "Constraining aerosol phase function using dual-view geostationary satellites"en_US
dc.typeDataseten_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
archived_data.zip
Size:
2.89 MB
Format:
Zip File
Description:
data for Fig2-11, C1,C2 and D1 in the corresponding paper
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.05 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Research Data
Research Data
Research Data