The steep North to South (N-S) gradient and complex topography markssignificant variations in the spatial and temporal patterns of climatic variationsurrounding within a few distances in the Nepal Himalayas. Hence,to ...The steep North to South (N-S) gradient and complex topography markssignificant variations in the spatial and temporal patterns of climatic variationsurrounding within a few distances in the Nepal Himalayas. Hence,to validate climatic linkages between the stations under two distinct topographicconditions, the study examines the observational climatic data from106m a.s.l. and 1801m a.s.l., as a representative station from a plain andhilly area. Different statistical tools including Pearson correlation analysisand a best-fit regression model were applied to analyze climate data. Theanalysis of 13129 daily average temperature records and 13147 daily totalprecipitation records showed that the variation in their sum and average ofdaily, five days, ten days, and monthly values between the stations in thedifferent elevations marked significantly.Despite these variations, temperaturerecords are measured to be consistent in different altitudes and stronglycorrelated. The precipitation data showed a comparatively weaker correlation.The coefficients (0.85-1.6) with R2>0.50 in the regression models forthe lower elevation and higher elevation station in the mid-mountain regionexcept for the monsoon season. It indicated a similar fluctuation of temperaturebetween these two stations in the respective area. The strong degreeof association and the change of climatic parameters in different rangeand elevations indicate the possibilities of using climatic data from Terai torepresent the Mid-mountain region of central Nepal.展开更多
文摘The steep North to South (N-S) gradient and complex topography markssignificant variations in the spatial and temporal patterns of climatic variationsurrounding within a few distances in the Nepal Himalayas. Hence,to validate climatic linkages between the stations under two distinct topographicconditions, the study examines the observational climatic data from106m a.s.l. and 1801m a.s.l., as a representative station from a plain andhilly area. Different statistical tools including Pearson correlation analysisand a best-fit regression model were applied to analyze climate data. Theanalysis of 13129 daily average temperature records and 13147 daily totalprecipitation records showed that the variation in their sum and average ofdaily, five days, ten days, and monthly values between the stations in thedifferent elevations marked significantly.Despite these variations, temperaturerecords are measured to be consistent in different altitudes and stronglycorrelated. The precipitation data showed a comparatively weaker correlation.The coefficients (0.85-1.6) with R2>0.50 in the regression models forthe lower elevation and higher elevation station in the mid-mountain regionexcept for the monsoon season. It indicated a similar fluctuation of temperaturebetween these two stations in the respective area. The strong degreeof association and the change of climatic parameters in different rangeand elevations indicate the possibilities of using climatic data from Terai torepresent the Mid-mountain region of central Nepal.
