Statistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal Scale

Statistical Bias Correction of Precipitation Forecasts Based on Quantile Mapping on the Sub-Seasonal to Seasonal Scale

Accurate precipitation forecasting is challenging, especially on the sub-seasonal to seasonal scale (14–90 days) which mandates the bias correction. Quantile mapping (QM) has been employed as a universal method of precipitation bias correction as it is effective in correcting the distribution attrib...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Xiaomeng Li, Huan Wu, Nergui Nanding, Sirong Chen, Ying Hu, Lingfeng Li
स्वरूप: लेख
भाषा:English
प्रकाशित: MDPI AG 2023-03-01
श्रृंखला:Remote Sensing
विषय:
precipitation
bias correction
Quantile Mapping
sub-seasonal to seasonal forecast
ऑनलाइन पहुंच:https://www.mdpi.com/2072-4292/15/7/1743

इंटरनेट

https://www.mdpi.com/2072-4292/15/7/1743

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