Gap-filling of daily precipitation and streamflow time series: a method comparison at random and sequential gaps-Reference-Cited by-同舟云学术

Gap-filling of daily precipitation and streamflow time series: a method comparison at random and sequential gaps

Published:2022-12-15 Issue:1 Volume:68 Page:148-160
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Lopes Martins Letícia¹^ORCID,Martins Wander Araújo¹^ORCID,Rodrigues Iam Caio de Abreu¹^ORCID,Freitas Xavier Ana Carolina²^ORCID,Moraes Jener Fernando Leite de³^ORCID,Blain Gabriel Constantino⁴^ORCID

Affiliation:

1. Post-graduation Program in Tropical and Subtropical Agriculture, Agronomic Institute, Campinas, Brazil

2. Water Resources, Vale Institute of Technology, Belém, Brazil

3. Soil Research Department, Agronomic Institute, Campinas, Brazil

4. Ecophysology and Biophysics Department, Agronomic Institute, Campinas, Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil

National Council for Scientific and Technological Development

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2022.2145200

Reference68 articles.

1. Mixed‐Station Extension of Monthly Streamflow Records

2. Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea

3. Köppen's climate classification map for Brazil

4. Gap Filling of Monthly Temperature Data and Its Effect on Climatic Variability and Trends

5. Multivariate linear regression with missing values

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