Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow

Multiple satellite products are available to monitor the spatiotemporal dynamics of surface albedo. They are extensively assessed over snow-free surfaces but less over snow. However, snow albedo is critical for climate monitoring applications, so a better understating of the accuracy of these produc...

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Main Authors: Ruben Urraca, Christian Lanconelli, Fabrizio Cappucci, Nadine Gobron
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/15/3745
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author Ruben Urraca
Christian Lanconelli
Fabrizio Cappucci
Nadine Gobron
author_facet Ruben Urraca
Christian Lanconelli
Fabrizio Cappucci
Nadine Gobron
author_sort Ruben Urraca
collection DOAJ
description Multiple satellite products are available to monitor the spatiotemporal dynamics of surface albedo. They are extensively assessed over snow-free surfaces but less over snow. However, snow albedo is critical for climate monitoring applications, so a better understating of the accuracy of these products over snow is needed. This work analyzes long-term (+20 years) products (MCD43C3 v6/v6.1, GLASS-AVHRR, C3S v1/v2) by comparing them against the 11 most spatially representative stations from FLUXNET and BSRN during the snow-free and snow-covered season. Our goal is to understand how the performance of these products is affected by different snow cover conditions to use this information in an upcoming product inter-comparison that extends the analysis spatially and temporally. MCD43C3 has the smallest bias during the snow season (−0.017), and more importantly, the most stable bias with different snow cover conditions. Both v6 and v6.1 have similar performance, with v6.1 just increasing slightly the coverage at high latitudes. On the contrary, the quality of both GLASS-AVHRR and C3S-v1/v2 albedo decreases over snow. Particularly, the bias of both products varies strongly with the snow cover conditions, underestimating albedo over snow and overestimating snow-free albedo. GLASS bias strongly increases during the melting season, which is most likely due to an artificially extended snow season. C3S-v2 has the largest negative bias overall over snow during both the AVHRR (−0.141) and SPOT/VGT (−0.134) period. In addition, despite the improvements from v1 to v2, C3S-v2 still is not consistent enough during the transition from AVHRR to SPOT/VGT.
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spelling doaj.art-fbbc862c77654dd3ade48c4aeec974e42023-12-03T12:58:43ZengMDPI AGRemote Sensing2072-42922022-08-011415374510.3390/rs14153745Comparison of Long-Term Albedo Products against Spatially Representative Stations over SnowRuben Urraca0Christian Lanconelli1Fabrizio Cappucci2Nadine Gobron3EuropeanCommission, Joint Research Centre, Via Fermi 2749, I-21027 Ispra, ItalyEuropeanCommission, Joint Research Centre, Via Fermi 2749, I-21027 Ispra, ItalyEuropeanCommission, Joint Research Centre, Via Fermi 2749, I-21027 Ispra, ItalyEuropeanCommission, Joint Research Centre, Via Fermi 2749, I-21027 Ispra, ItalyMultiple satellite products are available to monitor the spatiotemporal dynamics of surface albedo. They are extensively assessed over snow-free surfaces but less over snow. However, snow albedo is critical for climate monitoring applications, so a better understating of the accuracy of these products over snow is needed. This work analyzes long-term (+20 years) products (MCD43C3 v6/v6.1, GLASS-AVHRR, C3S v1/v2) by comparing them against the 11 most spatially representative stations from FLUXNET and BSRN during the snow-free and snow-covered season. Our goal is to understand how the performance of these products is affected by different snow cover conditions to use this information in an upcoming product inter-comparison that extends the analysis spatially and temporally. MCD43C3 has the smallest bias during the snow season (−0.017), and more importantly, the most stable bias with different snow cover conditions. Both v6 and v6.1 have similar performance, with v6.1 just increasing slightly the coverage at high latitudes. On the contrary, the quality of both GLASS-AVHRR and C3S-v1/v2 albedo decreases over snow. Particularly, the bias of both products varies strongly with the snow cover conditions, underestimating albedo over snow and overestimating snow-free albedo. GLASS bias strongly increases during the melting season, which is most likely due to an artificially extended snow season. C3S-v2 has the largest negative bias overall over snow during both the AVHRR (−0.141) and SPOT/VGT (−0.134) period. In addition, despite the improvements from v1 to v2, C3S-v2 still is not consistent enough during the transition from AVHRR to SPOT/VGT.https://www.mdpi.com/2072-4292/14/15/3745albedosnowsatellite productsFLUXNETMODISBSRN
spellingShingle Ruben Urraca
Christian Lanconelli
Fabrizio Cappucci
Nadine Gobron
Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
Remote Sensing
albedo
snow
satellite products
FLUXNET
MODIS
BSRN
title Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
title_full Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
title_fullStr Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
title_full_unstemmed Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
title_short Comparison of Long-Term Albedo Products against Spatially Representative Stations over Snow
title_sort comparison of long term albedo products against spatially representative stations over snow
topic albedo
snow
satellite products
FLUXNET
MODIS
BSRN
url https://www.mdpi.com/2072-4292/14/15/3745
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AT nadinegobron comparisonoflongtermalbedoproductsagainstspatiallyrepresentativestationsoversnow