An improved statistical analogue downscaling procedure for seasonal precipitation forecast

By Quanxi Shao, Ming Li. Stochastic environmental research and risk assessment (Print), 2013

47 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/13425c12e618f6b2737e2dd33b2d074f07b65bc2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. José M. Gutiérrez
2. A. Lucero
3. Rodrigo Manzanas
4. Antje Weisheimer

In Global and Planetary Change

1. José M. Gutiérrez
2. A. Lucero
3. Rodrigo Manzanas
4. Antje Weisheimer

In Water Science and Technology

1. José M. Gutiérrez
2. A. Lucero
3. Rodrigo Manzanas
4. Antje Weisheimer

Citations in the corpus

• Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts? (2018, methodology): “Analog-based methods have been applied in several previous studies to downscale precipitation in the context of seasonal forecasting (see, e.g., Frías et al. 2010; Wu et al. 2012; Shao and Li 2013).”