Utilization of the Google Earth Engine for the evaluation of daily soil temperature derived from Global Land Data Assimilation System in two different depths over a semiarid region

Abstract The Google Earth Engine (GEE) was used to investigate the performance of the Global Land Data Assimilation System (GLDAS) soil temperature (ST) data against observed ST from 13 synoptic stations over a semiarid region in Iran. Three‐hourly ST data were collected and analyzed in two depths (...

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Hlavní autoři:	Abolghasem Akbari, Majid Rajabi Jaghargh, Azizan Abu Samah, Jonathan Peter Cox, Mojtaba Gholamzadeh, Alireza Araghi, Patricia M. Saco, Khabat Khosravi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2024-07-01
Edice:	Meteorological Applications
Témata:	GLDAS‐Noah Google Earth Engine semiarid region soil temperature synoptic station
On-line přístup:	https://doi.org/10.1002/met.2221
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