Effect of Assimilating SMAP Soil Moisture on CO2 and CH4 Fluxes through Direct Insertion in a Land Surface Model
نویسندگان
چکیده
Soil moisture impacts the biosphere–atmosphere exchange of CO2 and CH4 plays an important role in terrestrial carbon cycle. A better representation soil would improve coupled carbon–water dynamics ecosystem models could potentially model estimates large-scale fluxes climate feedbacks. Here, we investigate using observations from Moisture Active Passive (SMAP) satellite mission to inform simulated global LPJ-wsl. Results suggest that direct insertion SMAP reduces bias at situ measurement sites by 40%, with a greater improvement temperate sites. wavelet analysis between measurements 26 FLUXNET suggests assimilated run modestly for boreal subtropical 1–2-month time scales. At regional scales, can estimated responses extreme events such as 2018 European drought 2019 rainfall event Sudd (Southern Sudan) wetlands. The improvements land–surface are shown across variety timescales, which potential improving coupling.
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15 صفحه اولAssimilating remote sensing data in a surface flux–soil moisture model
A key state variable in land surface–atmosphere interactions is soil moisture, which affects surface energy fluxes, runoff and the radiation balance. Soil moisture modelling relies on parameter estimates that are inadequately measured at the necessarily fine model scales. Hence, model soil moisture estimates are imperfect and often drift away from reality through simulation time. Because of its...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14102405