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Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …
research embracing a broad spectrum of operational situations. This work catalogs the …
Deterministic and probabilistic evaluation of raw and post processed sub-seasonal to seasonal precipitation forecasts in different precipitation regimes
R Kolachian, B Saghafian - Theoretical and Applied Climatology, 2019 - Springer
Precipitation is an important and difficult climate variable to predict. Skillful sub-seasonal
precipitation forecast can provide useful information for agriculture and water resources …
precipitation forecast can provide useful information for agriculture and water resources …
[HTML][HTML] Projection and uncertainty analysis of future temperature change over the Yarlung Tsangpo-Brahmaputra River basin based on CMIP6
Z Xu, L Chen, P Qin, X Ji - Water, 2023 - mdpi.com
Accurate predictions of future climate change are significant to both human social production
and development. Accordingly, the changes in the daily maximum (Tmax) and minimum …
and development. Accordingly, the changes in the daily maximum (Tmax) and minimum …
[HTML][HTML] Comparative study on probabilistic forecasts of heavy rainfall in mountainous areas of the Wujiang River basin in China based on TIGGE data
H Qi, X Zhi, T Peng, Y Bai, C Lin - Atmosphere, 2019 - mdpi.com
Based on the ensemble precipitation forecast data in the summers of 2014–2018 from the
Observing System Research and Predictability Experiment (THORPEX) Interactive Grand …
Observing System Research and Predictability Experiment (THORPEX) Interactive Grand …
[HTML][HTML] 清江流域降水的多模式 BMA 概率预报试验
祁海霞， 彭涛， 林春泽， 彭婷， 吉璐莹， **兰， 孟翠丽 - 气象, 2020 - qxqk.nmc.cn
基于TIGGE 资料中的ECMWF, UKMO, JMA, CMA 四套模式的2016 年6 月1 至7 月31
日逐日降水集合预报资料, 结合清江流域10 个国家基准站观测数据, 建立了流域贝叶斯模型**均 …
日逐日降水集合预报资料, 结合清江流域10 个国家基准站观测数据, 建立了流域贝叶斯模型**均 …
Using stratified Bayesian model averaging in probabilistic forecasts of precipitation over the middle and lower Yangtze River region
H Qi, X Zhi, T Peng, YQ Bai, C Lin, W Chen - … and Atmospheric Physics, 2021 - Springer
To study the impact of training sample heterogeneity on the performance of Bayesian model
averaging (BMA), two BMA experiments were performed on probabilistic quantitative …
averaging (BMA), two BMA experiments were performed on probabilistic quantitative …
Evaluation of post-processing and bias correction of monthly precipitation and temperature forecasts in Karun Basin
Efficient forecast of precipitation and temperature with a one-month horizon can provide
managers with an exceptional opportunity to plan water resources and deal with floods and …
managers with an exceptional opportunity to plan water resources and deal with floods and …
Probabilistic Prediction Model Using Bayesian Inference in Climate Field: A Systematic Literature
Wildfires occur repeatedly every year and have a negative impact on natural ecosystems.
Anticipation of wildfires is very necessary, therefore a prediction model is needed that can …
Anticipation of wildfires is very necessary, therefore a prediction model is needed that can …