研究目的
To account for static and dynamic open water contributions in radiative transfer modeling of SMAP brightness temperatures over peatlands to improve monitoring of hydrological changes.
研究成果
Including static open water reduces bias, and using PEAT-CLSM improves correlation with observed Tb. Dynamic open water modeling shows potential but requires further calibration and consistent hydrological variable handling for accurate Tb simulations.
研究不足
Preliminary results; RTM parameters may be suboptimal over peatlands; PEAT-CLSM not calibrated, leading to potential biases in dynamic open water fraction; scaling of dynamic inundation produces inconsistent hydrological variables.
1：Experimental Design and Method Selection:
Radiative transfer modeling (RTM) using mixing models to simulate L-band brightness temperatures (Tb) over peatlands, incorporating static and dynamic open water fractions from GEOS-5 and PEAT-CLSM models.
2：Sample Selection and Data Sources:
1500 EASE v2 36 km grid cells over Siberia and Canada with dominant peat soils, low tree cover (<50%), and static open water fractions from 0 to 50%. SMAP Level 1C L-band Tb data from April 2015 to April
3：0%. SMAP Level 1C L-band Tb data from April 2015 to April List of Experimental Equipment and Materials:
2017. 3. List of Experimental Equipment and Materials: NASA's GEOS-5 model, SMAP satellite data, EASE v2 grid system, computational tools for RTM and data analysis.
4：Experimental Procedures and Operational Workflow:
Extract Tb data, simulate land surface variables using CLSM and PEAT-CLSM, apply RTM mixing models (TbOW1, TbOW2, TbOW3), compare with observed Tb using correlation coefficients and bias analysis.
5：Data Analysis Methods:
Pearson correlation coefficients, bias calculation, and statistical analysis over a two-year period across multiple pixels.
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