|
Document Type |
: |
Thesis |
|
Document Title |
: |
LAND SURFACE PARAMETERIZATION SCHEME IN SAUDI-KAU GLOBAL CLIMATE MODEL FOR ENHANCING CLIMATE SIMULATION تمثيل عمليات سطح الارض في نموذج المناخ العالمي لجامعة الملك عبد العزيز-السعودي لتحسين محاكاة المناخ |
|
Subject |
: |
Faculty of Meteorology, Environment and Arid Land Agriculture |
|
Document Language |
: |
Arabic |
|
Abstract |
: |
A new version of the Community Land Model (CLM) was introduced to the Saudi King Abdulaziz University Atmospheric Global Climate Model (Saudi-KAU AGCM) for better land surface component representation, and so to enhance climate simulation. CLM replaced the default Land Surface Model (LSM) in Saudi-KAU AGCM, with the aim of simulation of accurate land surface fluxes globally, but especially over the Arabian Peninsula. To evaluate the performance of Saudi-KAU AGCM, simulations were completed with both CLM and LSM options for the period 1981-2010. The comparisions of both simulations data are performed for surface air temperature, precipitation, and Out going Long wave Radiation (OLR). In comparison with LSM, CLM generated surface air temperature closer to the National Centre for Environmental Prediction (NCEP) observations. The global annual average of land surface air temperature is 9.51, 9.52, and 9.57 oC for NCEP, CLM, and LSM respectively. The better temperature simulated by Saudi-KAU AGCM with CLM can be attributed to the more comprehensive plant functional type and hierarchical tile approach to the land cover type along with better parameterization of upward land surface fluxes in CLM compared to LSM. Introducing CLM instead of the default LSM in Saudi-KAU AGCM also simulates better precipitation due to proper soil-vegetation-atmosphere interaction or coupling. Surface and sub-surface hydrological processes of precipitation interception, soil moisture, throughfall, surface and sub-surface runoff, infiltration, and evapotranspiration (among others) are required for precipitation-vegetation-soil interactions in a land surface model. Over land, partitioning of volumetric water for different storages and releasing of latent heat to the atmosphere depends on those hydrological processes that in turn influence precipitation. The OLR fluxes simulated with CLM are reasonably closer to the observations as compared to with LSM. Parameterizations of these processes are found better represented in the CLM than the LSM while comparing to the observations. |
|
Supervisor |
: |
Prof. Mansour Almazroui |
|
Thesis Type |
: |
Doctorate Thesis |
|
Publishing Year |
: |
1439 AH
2018 AD |
|
Co-Supervisor |
: |
Prof. Md. Nazrul Islam |
|
Added Date |
: |
Wednesday, January 10, 2018 |
|
Researchers
| محمد أشفق الرحمن | Rahman, Muhammad Ashfaq | Researcher | Doctorate | |
|