Akbari, Abolghasem and Jaghargh, Majid Rajabi and Abu Samah, Azizan and Cox, Jonathan Peter and Gholamzadeh, Mojtaba and Araghi, Alireza and Saco, Patricia M. and Khosravi, Khabat (2024) 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. Meteorological Applications, 31 (4). e2221. ISSN 1350-4827, DOI https://doi.org/10.1002/met.2221.
Full text not available from this repository.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 (0-10 cm; 40-100 cm) and 5 years. In each depth, GLDAS-Noah ST data were evaluated for daily minimum, maximum, and average ST (i.e., Tmin, Tmax, and Tavg). Based on the correlation coefficient, Kling-Gupta Efficiency, and Nash-Sutcliffe Efficiency the overall performance of the GLDAS-Noah is 0.96, 0.66, and 0.79 for Tmin; 0.97, 0.84, and 0.89 for Tavg; and 0.95, 0.89, and 0.89 for Tmax, respectively in the first layer. Likewise, 0.97, 0.85, and 0.86 for Tmin; 0.97, 0.77, and 0.80 for Tavg; and 0.97, 0.69, and 0.69 for Tmax are obtained in the second layer. However, there is a significant negative bias which tends to underestimate ST in the two investigated layers, given by an average bias over all the stations analyzed of -24%, -12%, and -5% for Tmin, Tavg, and Tmax in the first layer, and average bias of -8%, -13%, and -17% for Tmin, Tavg, and Tmax in the second layer. This study reveals that GLDAS-Noah-derived ST can be used in arid regions where little or no observation data is available. Moreover, GEE performed as an advanced geospatial processing tool in regional scale analysis of ST in different layers. Location of the study area and synoptic stations employed for this research. image
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | GLDAS-Noah; Google Earth Engine; semiarid region; soil temperature; synoptic station |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Deputy Vice Chancellor (Research & Innovation) Office > Institute of Ocean and Earth Sciences |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 25 Mar 2025 02:44 |
| Last Modified: | 25 Mar 2025 02:44 |
| URI: | http://eprints.um.edu.my/id/eprint/46838 |
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