كليدواژه :
مدل GLDAS , تابش خورشيدي , ميانگين تابش طول موج كوتاه ورودي , ميانگين تابش طول موج بلند ورودي , ميانگين تابش خالص طول موج كوتاه , ميانگين تابش خالص طول موج بلند
چكيده فارسي :
در سال‌هاي اخير تغيير اقليم باعث تغييراتي در سامانه‌هاي طبيعي و انساني شده است. يكي از راه‌‌هاي جلوگيري از بحران‌هاي تغيير اقليم، بكارگيري انرژي‌هاي تجديدپذير است كه در اين ميان انرژي خورشيدي و سطح زمين سهم بسياري دارند. در اين تحقيق به كمك داده‌هاي مدل GLDAS با تفكيك افقي 0/25 درجه، ميانگين تابش طول موج‌هاي كوتاه ورودي (In-SWR)، بلند ورودي (In-LWR)، كوتاه خالص (NSWR) و بلند خالص (NLWR) در مقياس ماهانه و سالانه براي دوره 2010-1981 بررسي گرديد. در ژانويه، In-SWR از شرق به غرب و از جنوب به سمت شمال كاهش يافت. مقدار اين شار در حوضه‌هاي زهره و حله بين 244 تا 254 w/m2 متغير بود. بررسي ميانگين NLWR حاكي از مقدار بيشينه آن در قسمت شمال و شمال‌غرب ايران بدليل عمق كم جو در نواحي كوهستاني و مقدار كمينه آن در جنوب‌شرق كشور است و NSWR در كل كشور مثبت بود . توزيع فضايي پارامترهاي تابش در آوريل مشابه ژانويه بود. در اين ماه مقدار NSWR بطور تقريبي در كل كشور بيشتر از 191 w/m2 بود . در ژوئيه، In-SWR در شرق بيشينه و In-LWR در سواحل بيشتر افزايش داشت. NSWR در شمال كمينه و NLWR در شمال و جنوب بيشينه بود. مقدار NSWR در حوضه‌هاي زهره، كارون، كرخه و مرزي غرب بين 230 تا 244 w/m2بود. در اكتبر، In-SWR مشابه ماههاي ديگر بود و In-LWR در كوير لوت و مركزي بيشينه بود. NSWR در سراسر كشور مثبت و NLWR در شمال و شمال‌غرب بيشينه و در جنوب‌شرق كمينه بود
چكيده لاتين :
Climate change has caused important changes in natural and human systems and economical activities in recent
years. One of the climate change crisis avoiding solutions is the application of renewable energy which solar and
radiation of surface have many contributions in energy consumption. Due to the lack of access to radiation data
from meteorological stations, GLDAS1 model analysis data with a spatial horizontal resolution of 0.25 degrees for
the 30-year period (1981-2010) have been used. In this research, the climatic study of the monthly average of
Input Short (In-SWR) and Long Wavelength Radiation (In-LWR), Net Short Wavelength Radiation (NSWR), and Net
Long Wavelength (NLWR) has been presented. GLDAS model has been developed with cooperation of NASA and
NOAA aimed at accurate simulation of flow variables and water - energy cycle conditions. Global coverage and high
temporal and spatial resolution with a hybrid modeling system remote sensing and surface observation data is one
of the unique features of the model. The data of this system is obtained from four land surface models including
CLM2, Noah3, Mosaic4, VIC5. The results have been presented mean annually and monthly for January, April, July,
and October. It should be noted that in winter, lower latitudes are more affected by radiant energy than higher
latitudes. In January, In-SWR decreased from east to west due to the higher altitude of the sun in the east and the
roughness and slope directions in the west. In-LWR over low level elevation increased. The average dispersion of
In-LWR in this month shows its increase in coastal areas due to the increase of atmosphere thickness and the presence
of water vapor and also its decrease in the highlands due to the decrease of the atmosphere thickness and
water content. Moreover, NSWR was positive over the country and decreased from East and center toward North.
NLWR in North and Northwest was maximum. The mean NLWR study indicates its maximum value in the north and
northwest of Iran and its minimum value in the southeast of the country. Due to the shallow depth in mountainous
areas, the amount of long wavelength net flux increases. In April, the spatial distribution of radiation parameters
was similar to January. The NSWR was approximately 191 w/m2 in the whole country and is increasing from south
to north, and the average NLWR has also increased from south to north, so that the maximum is in the northwest.
In July, In-SWR was maximum in East and In-LWR increased over coastal regions. NSWR was minimum in North
and NLWR was maximum over North and South. In-SWR in the basins of Zohreh, Karun, Karkheh and the western
border was between 230 to 244 w/m2 which increases slightly to the heights of the Zagros. The flux is highest in the
East of the country and decreases to the NorthEast. In-LWR increased in the southern and northern coasts due to
the increase of atmospheric thickness, water vapor and cloudiness more than other areas and the interior of the
plateau, especially on the mountains and highlands due to decreasing of the atmosphere thickness, its value has
reduced. In October, In-SWR decreased from east to west and from south to North and In-LWR was minimum over
Lute and central deserts. NSWR was positive over the country and NLWR was maximum in North and Northwest
and was minimum in Southeast.
