Abstract
This paper presents the LPMLEn, a new method to estimate vertical flux and thermal diffusivity from streambed temperature time series using the frequency domain. The main advantages of this new method are: (a) the use of multiple frequencies and multiple sensors for the parameter estimation; (b) noise/uncertainty handling in an optimal way; (c) the possibility to estimate the parameters with both semi-infinite and bounded domain models; and (d) the compensation for temperature drifts in the data known as transients. The capabilities of the LPMLEn are demonstrated using both synthetic and field data, highlighting the advantages of the bounded domain model over the semi-infinite domain model in the parameter estimation process.
Original language | English |
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Article number | e2021WR030886 |
Journal | Water Resources Research |
Volume | 58 |
Issue number | 3 |
Early online date | 14 Feb 2022 |
DOIs | |
Publication status | Published - 1 Mar 2022 |
Keywords
- frequency domain
- groundwater-surface water interaction
- heat as a tracer
- maximum likelihood estimator
- temperature modeling
- vertical streambed flux
ASJC Scopus subject areas
- Water Science and Technology