Comprehensive evaluation of ensemble multi-satellite precipitation dataset using the dynamic bayesian model averaging scheme over the Tibetan Plateau

Y Ma, Y Yang, Z Han, G Tang, L Maguire, Z Chu… - Journal of …, 2018 - Elsevier
The objective of this study is to comprehensively evaluate the new Ensemble Multi-Satellite
Precipitation Dataset using the Dynamic Bayesian Model Averaging scheme (EMSPD-
DBMA) at daily and 0.25° scales from 2001 to 2015 over the Tibetan Plateau (TP). Error
analysis against gauge observations revealed that EMSPD-DBMA captured the
spatiotemporal pattern of daily precipitation with an acceptable Correlation Coefficient (CC)
of 0.53 and a Relative Bias (RB) of− 8.28%. Moreover, EMSPD-DBMA outperformed IMERG …

Comprehensive evaluation of Ensemble Multi-Satellite Precipitation Dataset using the Dynamic Bayesian Model Averaging scheme over the Tibetan Plateau.

MYZ Ma YingZhao, YY Yang Yuan… - 2018 - cabidigitallibrary.org
The objective of this study is to comprehensively evaluate the new Ensemble Multi-Satellite
Precipitation Dataset using the Dynamic Bayesian Model Averaging scheme (EMSPD-
DBMA) at daily and 0.25° scales from 2001 to 2015 over the Tibetan Plateau (TP). Error
analysis against gauge observations revealed that EMSPD-DBMA captured the
spatiotemporal pattern of daily precipitation with an acceptable Correlation Coefficient (CC)
of 0.53 and a Relative Bias (RB) of-8.28%. Moreover, EMSPD-DBMA outperformed IMERG …
以上显示的是最相近的搜索结果。 查看全部搜索结果

Google学术搜索按钮

example.edu/paper.pdf
搜索
获取 PDF 文件
引用
References