How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...

Geophysical data sets derived from satellite sensors, ground/airborne instrumentation, andcomputational models are often compared against each other. A common example is the validation ofsatellite aerosol optical depth (AOD) retrievals against measurements from Aerosol Robotic Network(AERONET) Sun p...

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Main Author: Sayer, Andrew
Format: Article in Journal/Newspaper
Language:unknown
Published: AGU 2020
Subjects:
Online Access:https://dx.doi.org/10.13016/m2if3h-unok
https://mdsoar.org/handle/11603/26237
id ftdatacite:10.13016/m2if3h-unok
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spelling ftdatacite:10.13016/m2if3h-unok 2023-08-27T04:03:32+02:00 How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ... Sayer, Andrew 2020 https://dx.doi.org/10.13016/m2if3h-unok https://mdsoar.org/handle/11603/26237 unknown AGU Creative Commons Attribution 4.0 International Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CreativeWork article 2020 ftdatacite https://doi.org/10.13016/m2if3h-unok 2023-08-07T14:24:23Z Geophysical data sets derived from satellite sensors, ground/airborne instrumentation, andcomputational models are often compared against each other. A common example is the validation ofsatellite aerosol optical depth (AOD) retrievals against measurements from Aerosol Robotic Network(AERONET) Sun photometers. Spatiotemporal mismatch between data set sampling means that uncapturedvariation in the underlying geophysicalfield introduces apparent disagreement into such comparisons,known as representation or collocation matchup uncertainty. This study uses variogram analysis ofAERONET data to estimate temporal mismatch uncertainties and decorrelation time scales for the globalAERONET record. As well as total AOD, thefine‐and coarse‐mode AODs, Ångström Exponent (AE), andfine‐mode fraction (FMF) of AOD are analyzed. Globally, a time difference of 30 min typically induces from0.011–0.035 variation in AOD. For total,fine, and coarse AODs the typical time to decorrelation is around2–10 days. For AE and FMF it is 3–33 ... Article in Journal/Newspaper Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Geophysical data sets derived from satellite sensors, ground/airborne instrumentation, andcomputational models are often compared against each other. A common example is the validation ofsatellite aerosol optical depth (AOD) retrievals against measurements from Aerosol Robotic Network(AERONET) Sun photometers. Spatiotemporal mismatch between data set sampling means that uncapturedvariation in the underlying geophysicalfield introduces apparent disagreement into such comparisons,known as representation or collocation matchup uncertainty. This study uses variogram analysis ofAERONET data to estimate temporal mismatch uncertainties and decorrelation time scales for the globalAERONET record. As well as total AOD, thefine‐and coarse‐mode AODs, Ångström Exponent (AE), andfine‐mode fraction (FMF) of AOD are analyzed. Globally, a time difference of 30 min typically induces from0.011–0.035 variation in AOD. For total,fine, and coarse AODs the typical time to decorrelation is around2–10 days. For AE and FMF it is 3–33 ...
format Article in Journal/Newspaper
author Sayer, Andrew
spellingShingle Sayer, Andrew
How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
author_facet Sayer, Andrew
author_sort Sayer, Andrew
title How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
title_short How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
title_full How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
title_fullStr How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
title_full_unstemmed How Long Is Too Long? Variogram Analysis of AERONET Data to Aid Aerosol Validation and Intercomparison Studies ...
title_sort how long is too long? variogram analysis of aeronet data to aid aerosol validation and intercomparison studies ...
publisher AGU
publishDate 2020
url https://dx.doi.org/10.13016/m2if3h-unok
https://mdsoar.org/handle/11603/26237
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_rights Creative Commons Attribution 4.0 International
Attribution 4.0 International (CC BY 4.0)
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.13016/m2if3h-unok
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