Power transformation of variables for post-processing precipitation forecasts: Regionally versus locally optimized parameter values-Reference-Cited by-同舟云学术

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Power transformation of variables for post-processing precipitation forecasts: Regionally versus locally optimized parameter values

Published:2022-07 Issue: Volume:610 Page:127912
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Du Yiliang,Wang Quan J.,Wu Wenyan,Yang Qichun

Funder

Australian Research Council

Department of Environment and Science, Queensland Government

Bureau of Meteorology, Australian Government

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference44 articles.

1. Calibrated short-range ensemble precipitation forecasts using extended logistic regression with interaction terms;Ben Bouallègue;Weather Forecast.,2013

2. Probabilistic quantitative precipitation field forecasting using a two-stage spatial model;Berrocal;Ann. Appl. Stat.,2008

3. Comparing Approaches to Deal With Non-Gaussianity of Rainfall Data in Kriging-Based Radar-Gauge Rainfall Merging;Cecinati;Water Resour. Res.,2017

4. Cressie, N.A.., 1993. Statistics for Spatial Data, Wiley. ed. New York.

5. Multi-model ensemble hydrologic prediction using Bayesian model averaging;Duan;Adv. Water Resour.,2007

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1. Spatial-Mode-Based Calibration (SMoC) of Forecast Precipitation Fields with Spatially Correlated Structures: An Extended Evaluation and Comparison with Gridcell-by-Gridcell Postprocessing;Journal of Hydrometeorology;2023-09

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3. Construction of precipitation index based on ensemble forecast and heavy precipitation forecast in the Hanjiang River Basin, China;Atmospheric Research;2023-05

4. Estimating daily precipitation climatology by postprocessing high‐resolution reanalysis data;International Journal of Climatology;2023-04-16

5. Forecasting the Ensemble Hydrograph of the Reservoir Inflow based on Post-Processed TIGGE Precipitation Forecasts in a Coupled Atmospheric-Hydrological System;Water;2023-02-25

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