TY - JOUR
T1 - Assessing the SMAP Level-4 Carbon Product Over the Arctic and Subarctic Zones
AU - Madelon, Rémi
AU - Kimball, John S.
AU - Endsley, K. Arthur
AU - De Lannoy, Gabriëlle J.M.
AU - Sonnentag, Oliver
AU - Alcock, Haley
AU - Detto, Matteo
AU - Virkkala, Anna M.
AU - Rogers, Brendan M.
AU - Watts, Jennifer D.
AU - Mavrovic, Alex
AU - Williamson, Scott N.
AU - Humphreys, Elyn
AU - Colliander, Andreas
AU - Mialon, Arnaud
AU - Roy, Alexandre
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2025/3/31
Y1 - 2025/3/31
N2 - The soil moisture active passive (SMAP) satellite mission distributes a product of CO2 flux estimates (SPL4CMDL) derived from a terrestrial carbon flux model, in which SMAP brightness temperatures are assimilated to update soil moisture (SM) and constrain the carbon cyclemodeling. While the SPL4CMDL product has demonstrated promising performance across the continental USA and Australia, a detailed assessment over the arctic and subarctic zones (ASZ) is still missing. In this study, SPL4CMDL net ecosystem exchange (NEE), gross primary production (GPP), and ecosystem respiration (RE) are evaluated against measurements from 37 eddy covariance towers deployed over the ASZ, spanning from 2015 to 2022. The assessment indicates that the NEE unbiased root-mean-square error falls within the targeted accuracy of 1.6 gC.m-2.d-1, as defined for the SPL4CMDL product. However, modeled GPP and RE are overestimated at the beginning of the growing season over evergreen needleleaf forests and shrublands, while being underestimated over grasslands. Discrepancies are also found in the annual net CO2 budgets. SM appears to have a minimal influence on the GPP and RE modeling, suggesting that ASZ vegetation is rarely subjected to hydric stress, which contradicts some recent studies. These results highlight the need for further carbon cycle process understanding and model refinements to improve the SPL4CMDL CO2 flux estimatesover the ASZ.
AB - The soil moisture active passive (SMAP) satellite mission distributes a product of CO2 flux estimates (SPL4CMDL) derived from a terrestrial carbon flux model, in which SMAP brightness temperatures are assimilated to update soil moisture (SM) and constrain the carbon cyclemodeling. While the SPL4CMDL product has demonstrated promising performance across the continental USA and Australia, a detailed assessment over the arctic and subarctic zones (ASZ) is still missing. In this study, SPL4CMDL net ecosystem exchange (NEE), gross primary production (GPP), and ecosystem respiration (RE) are evaluated against measurements from 37 eddy covariance towers deployed over the ASZ, spanning from 2015 to 2022. The assessment indicates that the NEE unbiased root-mean-square error falls within the targeted accuracy of 1.6 gC.m-2.d-1, as defined for the SPL4CMDL product. However, modeled GPP and RE are overestimated at the beginning of the growing season over evergreen needleleaf forests and shrublands, while being underestimated over grasslands. Discrepancies are also found in the annual net CO2 budgets. SM appears to have a minimal influence on the GPP and RE modeling, suggesting that ASZ vegetation is rarely subjected to hydric stress, which contradicts some recent studies. These results highlight the need for further carbon cycle process understanding and model refinements to improve the SPL4CMDL CO2 flux estimatesover the ASZ.
KW - Arctic and subarctic zones (ASZ)
KW - carbon cycle
KW - ecosystem respiration (R)
KW - gross primary production (GPP)
KW - microwave remote sensing
KW - net ecosystem exchange (NEE)
KW - soil moisture (SM)
KW - soil moisture active passive (SMAP)
UR - http://www.scopus.com/inward/record.url?scp=105003490359&partnerID=8YFLogxK
U2 - 10.1109/JSTARS.2025.3555850
DO - 10.1109/JSTARS.2025.3555850
M3 - Article
AN - SCOPUS:105003490359
SN - 1939-1404
VL - 18
SP - 9850
EP - 9864
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ER -