Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network-Reference-Cited by-同舟云学术

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Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network

Published:2017-07-23 Issue:4 Volume:24 Page:603-611
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Met. Apps

Author:

Araghi Alireza¹,Mousavi-Baygi Mohammad¹,Adamowski Jan²,Martinez Christopher³,van der Ploeg Martine⁴^ORCID

Affiliation:

1. Faculty of Agriculture, Department of Water Engineering; Ferdowsi University of Mashhad; Iran

2. Faculty of Agriculture and Environmental Sciences, Department of Bioresource Engineering; McGill University; Sainte-Anne-de-Bellevue Canada

3. Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences; University of Florida; Gainesville FL USA

4. Department of Environmental Sciences, Soil Physics and Land Management; Wageningen-UR; Netherlands

Publisher

Wiley

Subject

Atmospheric Science

Reference29 articles.

1. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds;Adamowski;J. Hydrol.,2010

2. Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data;Araghi;Atmos. Res.,2015

3. Association between three prominent climatic teleconnections and precipitation in Iran using wavelet coherence;Araghi;Int. J. Climatol.,2017

4. Prediction of soil temperature using regression and artificial neural network models;Bilgili;Meteorol. Atmos. Phys.,2010

5. Spatiotemporal measurement and modeling of stand-level boreal forest soil temperatures;Bond-Lamberty;Agric. For. Meteorol.,2005

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