Statistical Downscaling of Temperature at Kathmandu Airport
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Hydrology and Meteorology
Abstract
Kathmandu Airport station is located at Tribhuwan International Airport in Kathmandu, spanning
27.70 degrees of latitude and 85.37 degrees of longitude with the elevation of 1337 meters. It is
situated in Kathmandu valley which is surrounded by hills in all sides and is almost circular in shape.
Elevation of surrounding hills range from 2000 to 2750m and valley is flat with elevation ranging
from 1300 to 1400m .The east to west and north to south axes of valley are about 26km and
37km.kathmandu valley lies between 27°32 to 27°49 E and 85°11 to 85° 32 N .The Kathmandu
valley, which has the capital city Kathmandu along with four other municipal towns, Lalitpur,
Bhaktapur, Kirtipur and Madhyapur‐Thimi, is the main urban area of Nepal. The valley is located
between the Himalayan in the north and the Mahabharata mountains in the south. In order to best
describe the expected climate change impacts for the region, climate change scenarios and climate
variables must be developed on a regional, or even site‐specific, scale.
To generate the future climate change scenarios in this region statistical downscaling tool was used.
For this, daily temperature data from 1968‐1990 A.D. was obtained from Department of Hydrology
and Meteorology but for the model to run it has to start from 1960 A.D. so the data from 1961 to
1967 A.D. was coated as ‐999 as missing values for the model to run. This data was used as the basis
for developing the initial statistical relationships. Essentially, a predictor‐predictand relationship is
defined between global climate model values and the observed values at Kathmandu Airport.
Future climate variables (predictors) are then extracted from HADCM3 model experiment. The
predictors were found to be 500 hPa geo potential height, surface zonal velocity, relative humidity
at 850 and 500 hPa and surface specific humidity. Those predictors are used to provide downscaled
climate variables (predictand) that are applicable to those specific observed data sites.
From this model it was found the future scenario of temperature in Kathmandu Airport at different
time periods was rising.
