Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method
In this study, we compared different remote-sensing (RS)-based land surface models (LSM) and reanalysis latent heat flux (LE) products over different forest ecosystems. We analysed the performance of three RS products, the MOD16A2, the Breathing Earth System Simulator (BESS) model, and a combined op...
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2018
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v39_n19_p6300_BarrazaBernadas http://hdl.handle.net/20.500.12110/paper_01431161_v39_n19_p6300_BarrazaBernadas |
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paper:paper_01431161_v39_n19_p6300_BarrazaBernadas2023-06-08T15:11:48Z Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method Ecosystems Forestry Latent heat Remote sensing Uncertainty analysis Collocation method Ground based measurement In-situ measurement Land surface models Optical microwaves Priori knowledge Southern hemisphere forests Spatial uncertainty Heat flux comparative study forest ecosystem in situ measurement land surface latent heat flux performance assessment remote sensing Southern Hemisphere In this study, we compared different remote-sensing (RS)-based land surface models (LSM) and reanalysis latent heat flux (LE) products over different forest ecosystems. We analysed the performance of three RS products, the MOD16A2, the Breathing Earth System Simulator (BESS) model, and a combined optical-microwave model (COM) in their ability to replicate eddy covariance (EC) flux observations of LE at eight southern hemisphere forest ecosystems and compared their results to simulated LE from the offline LSM (GLDAS/NOAH) and a reanalysis LE dataset (MERRA). To determine spatial uncertainties, we used the triple collocation (TC) method, which does not require a priori knowledge of the true LE value, at selected Australian EC locations and over an area without in situ measurement (the Dry Chaco Forest (DCF), Argentina). The spatial pattern of the TC results was commensurable with uncertainties calculated using EC observations, indicating that the TC method is a robust technique to estimate spatial uncertainties. As global products have been validated with EC measurement from Ozflux stations, we hypothesized and found, using the TC model, that LE products achieve a better performance over areas with EC from networks than over sites without ground-based measurements and may reflect over-calibration of models or a need for a more diverse representation of ecosystems at flux tower networks. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v39_n19_p6300_BarrazaBernadas http://hdl.handle.net/20.500.12110/paper_01431161_v39_n19_p6300_BarrazaBernadas |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Ecosystems Forestry Latent heat Remote sensing Uncertainty analysis Collocation method Ground based measurement In-situ measurement Land surface models Optical microwaves Priori knowledge Southern hemisphere forests Spatial uncertainty Heat flux comparative study forest ecosystem in situ measurement land surface latent heat flux performance assessment remote sensing Southern Hemisphere |
spellingShingle |
Ecosystems Forestry Latent heat Remote sensing Uncertainty analysis Collocation method Ground based measurement In-situ measurement Land surface models Optical microwaves Priori knowledge Southern hemisphere forests Spatial uncertainty Heat flux comparative study forest ecosystem in situ measurement land surface latent heat flux performance assessment remote sensing Southern Hemisphere Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
topic_facet |
Ecosystems Forestry Latent heat Remote sensing Uncertainty analysis Collocation method Ground based measurement In-situ measurement Land surface models Optical microwaves Priori knowledge Southern hemisphere forests Spatial uncertainty Heat flux comparative study forest ecosystem in situ measurement land surface latent heat flux performance assessment remote sensing Southern Hemisphere |
description |
In this study, we compared different remote-sensing (RS)-based land surface models (LSM) and reanalysis latent heat flux (LE) products over different forest ecosystems. We analysed the performance of three RS products, the MOD16A2, the Breathing Earth System Simulator (BESS) model, and a combined optical-microwave model (COM) in their ability to replicate eddy covariance (EC) flux observations of LE at eight southern hemisphere forest ecosystems and compared their results to simulated LE from the offline LSM (GLDAS/NOAH) and a reanalysis LE dataset (MERRA). To determine spatial uncertainties, we used the triple collocation (TC) method, which does not require a priori knowledge of the true LE value, at selected Australian EC locations and over an area without in situ measurement (the Dry Chaco Forest (DCF), Argentina). The spatial pattern of the TC results was commensurable with uncertainties calculated using EC observations, indicating that the TC method is a robust technique to estimate spatial uncertainties. As global products have been validated with EC measurement from Ozflux stations, we hypothesized and found, using the TC model, that LE products achieve a better performance over areas with EC from networks than over sites without ground-based measurements and may reflect over-calibration of models or a need for a more diverse representation of ecosystems at flux tower networks. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group. |
title |
Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
title_short |
Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
title_full |
Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
title_fullStr |
Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
title_full_unstemmed |
Comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
title_sort |
comparison of the performance of latent heat flux products over southern hemisphere forest ecosystems: estimating latent heat flux error structure using in situ measurements and the triple collocation method |
publishDate |
2018 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v39_n19_p6300_BarrazaBernadas http://hdl.handle.net/20.500.12110/paper_01431161_v39_n19_p6300_BarrazaBernadas |
_version_ |
1768546341107007488 |