Abstract
Trend detection based on hydroclimatological time series is crucial for understanding climate change. In this study, the innovative trend analysis (ITA) method was applied to investigate trends in air temperature and precipitation over the Jinsha River Basin (JRB), China, from 1961 to 2016 based on 40 meteorological stations. Climatic factors series were divided into three categories according to percentile, and the hidden trends were evaluated separately. The ITA results show that annual and seasonal temperatures have significantly increased whereas the variation range of annual temperature tended to narrow. Spatial pattern analysis of the temperature indicates that high elevation areas show more increasing trends than flat areas. Furthermore, according to ITA, significant increase trends are observed in annual precipitation and “high” category of spring precipitation. The sub-basins results show a significant decreasing trend in elevation zones of ≤2000 m and an increasing trend where elevation is >2000 m. Moreover, linkage between temperature and precipitation was analyzed and the potential impact of the combined changes was demonstrated. The results of this study provide a reference for future water resources planning in the JRB and will help advance the understanding of climate change in similar areas.
Highlights
Climate change is a global issue [1]
The temperature and precipitation at west coast sites in Northern reversed with season, and more impact of elevation on the spatial patterns of trends and theCanada correlations between precipitation and precipitation during warmThe winters cool summers temperaturefalls were analyzed
(1) Annual and seasonal temperatures showed significant increasing trends over the Jinsha River Basin (JRB) at a 99%
Summary
Climate change is a global issue [1]. Air temperature and precipitation are the most important variables to hydrometeorology, which can be used to understand the climate of a region and assess the effects of climate change [2]. Together with anthropogenic activities, serves as one of the main driving forces of the hydrological cycle [3,4,5]. Warming temperatures could result in changes to glacial melting [4,6] and evapotranspiration [4,7]. Trend identification methodologies enable the identification and interpretation of climate change effects [9], and there is a growing need to identify trends in air temperature and precipitation at different spatial and temporal scales to manage regional water resources and related hazards more effectively
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