Modeling errors in daily precipitation measurements: Additive or multiplicative?

By Yudong Tian, George J. Huffman, Robert F. Adler, L. Tang, Mathew R. P. Sapiano, Viviana Maggioni, Huan Wu. 2013

181 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/fb8bcee346b3521430c18b4ffce5e38337f3cd86

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. L. Tang
2. Yudong Tian
3. Saeed Golian

In Global and Planetary Change

1. M. R. Kavianpour
2. Yang Hong
3. S. Moazami
4. Saeed Golian

Citations in the corpus

• Uncertainty analysis of bias from satellite rainfall estimates using copula method (2014, background): “In fact, the use of different error models leads to different definitions and calculations of uncertainties (Tian et al., 2013).”
• An improved procedure for the validation of satellite-based precipitation estimates (2015, methodology): “In the second step, a multiplicative error model (Tian et al., 2013) is applied to evaluate the hit errors derived from the error decomposition in the first step.”