An analog period method for gap‐filling of latent heat flux measurements-Reference-Cited by-同舟云学术

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An analog period method for gap‐filling of latent heat flux measurements

Published:2021-04 Issue:4 Volume:35 Page:
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrological Processes

Author:

Hoeltgebaum Lucas Emilio B.¹^ORCID,Dias Nelson Luís²^ORCID,Costa Marcelo Azevedo³^ORCID

Affiliation:

1. Graduate Program of Environmental Engineering Federal University of Paraná (UFPR), Centro Politécnico Curitiba Brazil

2. Environmental Engineering Departament Federal University of Paraná (UFPR), Centro Politécnico Curitiba Brazil

3. Department of Production Engineering Federal University of Minas Gerais (UFMG) Pampulha Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14105

Reference59 articles.

1. Infilling Missing Daily Evapotranspiration Data Using Neural Networks

2. Filling gaps in evapotranspiration measurements for water budget studies: Evaluation of a Kalman filtering approach

3. Measuring methane flux from irrigated rice fields by eddy covariance method using open-path gas analyzer

4. Measuring boreal forest evapotranspiration using the energy balance residual

5. Eddy Covariance

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1. Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements;Agricultural and Forest Meteorology;2023-10

2. Application of a data-driven DTSF and benchmark models for the prediction of electricity prices in Brazil: A time-series case;Journal of Renewable and Sustainable Energy;2023-05-01

3. Dynamic Time Scan Forecasting: A Benchmark With M4 Competition Data;IEEE Latin America Transactions;2023-02

4. Parsimonious Gap-Filling Models for Sub-Daily Actual Evapotranspiration Observations from Eddy-Covariance Systems;Remote Sensing;2022-03-05

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