Precipitation of future climate models is critical for the assessments of future drought but
contains large systematic biases over the Tibetan Plateau. Although the common …

Understanding historical and future drought patterns is crucial to acclimation and the
mitigation of drought. The negative impact of China's droughts on the social economy has …

Asia currently has the world's largest arid and semi-arid zones, so a timely assessment of
future droughts in the Asian drylands is prudent, particularly in the context of recent frequent …

Understanding drought dynamics spatially and temporally is essential for environmental and
socio-economic systems, especially under climate change with expected increasing …

Abstract Xinjiang, located in Northwest China, is a typical arid and semiarid region. In this
region, frequent droughts have caused great losses in agricultural production and social …

In the last decade, a series of severe and extensive droughts have swept across Southwest
China, resulting in tremendous economic losses, deaths, and disruption to society …

Global-level warming largely influences drought dynamics. Therefore, a robust drought
projection is critical to support sustainable development under a future warming climate …

The Qinghai–Tibetan Plateau (QTP), which has a unique and severe environment, suffers
from the absence of rainfall gauges in western arid land. Using different precipitation …

Accurate precipitation forecasting is challenging, especially on the sub-seasonal to
seasonal scale (14–90 days) which mandates the bias correction. Quantile mapping (QM) …

Bias correction is a vital technique to correct the climate model outputs for regional studies.
Prior bias correction methods such as quantile mapping (QM) may be problematic in …