Parameter Sensitivity Analysis of the Exponential Filter Model
DOI:
https://doi.org/10.54691/323nq355Keywords:
Soil Moisture; Exponential Filter; Root-zone Soil Moisture Inversion.Abstract
This study employs the ERA5-Land soil moisture dataset and applies an exponential filter to estimate root-zone soil moisture across the Indochina Peninsula. The filtered estimates are then compared against the original root-zone soil moisture provided by ERA5-Land. The focus is on examining the parameter range of the exponential filter model—that is, how closely the estimated root-zone soil moisture matches the known ERA5-Land values under different filter time constants. The objective is to assess the impact of filter parameter selection on the estimation results and to provide guidance for inverting root-zone soil moisture from surface observations in remote sensing applications. This approach offers an effective solution in complex terrains where in situ validation data are scarce.
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[1] CROW W T, KOSTER R D, REICHLE R H, et al. Relevance of time‐varying and time‐invariant retrieval error sources on the utility of spaceborne soil moisture products [J] Geophysical Research Letters, 2005, 32(24). DOI: https://doi.org/10.1029/2005GL024889
[2] STISEN S, SANDHOLT I, NøRGAARD A, et al. Combining the triangle method with thermal inertia to estimate regional evapotranspiration--Applied to MSG-SEVIRI data in the Senegal River basin [J] Remote sensing of Environment, 2008, 112(3): 1242-55. DOI: https://doi.org/10.1016/j.rse.2007.08.013
[3] JIA Y, LI Z. Progress in land surface temperature retrieval from passive microwave remotely sensed data [J] Prog Geogr, 2006, 25(3): 96-105.
[4] ALBERGEL C, RüDIGER C, PELLARIN T, et al. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations [J] Hydrology and Earth System Sciences, 2008, 12 (6): 1323-37. DOI: https://doi.org/10.5194/hess-12-1323-2008
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