Use this URL to cite or link to this record in EThOS:
Title: Land surface temperature comparison between JULES/ CHESS model output and earth observation data
Author: Zhang, Tongfei
Awarding Body: University of Reading
Current Institution: University of Reading
Date of Award: 2013
Availability of Full Text:
Access from EThOS:
The aim of this thesis is to build a benchmarking system for the JULES (Joint UK Land Environment Simulator)/ CHESS (Hydrological and Ecological Research Support System) model land surface temperature, to identify the strengths and weakness of conducting the land surface temperature from JULES/ CHESS model; and define a number of comparisons that can effectively evaluate JULES/ CHESS output LST using Earth's observation products, including MODIS (Moderate Resolution Imaging Spectroradiometer), and AMSR-E (Advanced Microwave Scanning Radiometer - Earth Observing System) from ADAGUC (Atmospheric Data Access for the Geospatial User Community) database. Furthermore, the benchmarking system can estimate and set up thresholds of acceptable mid-match between models output and EO products identify the clues of weak LST output performance to guide future development, and ultimately enabling improve predictions of future JULES/ CHESS model LST of ecosystems and climate. Benchmarking analyses have been done for the JULES/ CHESS model. It include the comparison between LST retrieved from the EO product and JULES/ CHESS output LST that cover a range of spatial (point to UK) and temporal (hourly to monthly) scales. This study showed that Earth Observation data can be used as part of the process of assessing the performance of a global land surface model. Earth observation products are an important resource for the evaluation of large scale and surface model, and the use of EO data provided further insight into the model. Further investigation is needed to identify the source of the discrepancy between JULES/ CHESS model LST output and EO LST products, including inspection of land surface coverage type. The LST comparison studies in this thesis demonstrated some weaknesses of the model, many of which are being worked on by researchers. The results presented in this thesis are of particular relevance to JULES/ CHESS model with the EO data, but equally important, the methods outlined in this thesis could also be helpful to give more insight than traditional site-based observations. These studies could be remains independent, and use to indicate gross errors and improvements of further model development.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available