Estimation of soil temperatures with machine learning algorithms—Giresun and Bayburt stations in Turkey
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-021-03819-2.pdf
Reference45 articles.
1. Aalto J, le Roux PC, Luoto M (2013) Vegetation mediates soil temperature and moisture in Arctic-Alpine environments. Arct Antarct Alp Res 45(4):429–439
2. Abbasimehr H, Shabani M, Yousefi M (2020) An optimized model using LSTM network for demand forecasting. Comput Ind Eng 143:106435. https://doi.org/10.1016/j.cie.2020.106435
3. Abbes AB, Magagi R, Goita K (2019) Soil moisture estimation from SMAP observations using long short- term memory (LSTM). In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. pp 1590–1593
4. Alizamir M, Kim S, Zounemat-Kermani M, Heddam S, Shahrabadi AH, Gharabaghi B (2020) Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. Artif Intell Rev. https://doi.org/10.1007/s10462-020-09915-5
5. Araghi A, Mousavi-Baygi M, Adamowski J et al (2017) Forecasting soil temperature based on surface air temperature using a wavelet artificial neural network. Meteorol Appl 24:603–611. https://doi.org/10.1002/met.1661
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