Tianfeng Chai

Global and Planetary Change · 2005–2015

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 14 citations into it; #1,763 of 10,225 by trust here, #2,911 by citations
• Atmospheric Science — 10 citations into it; #3,858 of 4,804 by trust here, #4,434 by citations
• Radiological and Ultrasound Technology — 6 citations into it

Whom Tianfeng Chai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cort J. Willmott
2. Kenji Matsuura
3. O. Saunier
4. V. Winiarek
5. Daryl Timothy Kleist
6. Andreas Stohl
7. A. Mathieu
8. Marc Bocquet
9. Scott M. Robeson
10. Marc H. Taylor

Who trusts Tianfeng Chai overall

1. Mohammad Ali Ghorbani
2. Ravinesh C. Deo
3. Davide Chicco
4. Jungseok Hong
5. Yi Ren
6. Zaher Mundher Yaseen
7. Zhenliang Yin
8. Hai-Bang Ly
9. Alexei Botchkarev
10. Matthijs J. Warrens

Papers from Tianfeng Chai's perspective

Ordered by how strongly the researchers Tianfeng Chai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
2. Ambiguities inherent in sums-of-squares-based error statistics
3. Xenon-133 and caesium-137 releases into the atmosphere from the Fukushima Dai-ichi nuclear power plant: determination of the source term, atmospheric dispersion, and deposition
4. Estimation of Errors in the Inverse Modeling of Accidental Release of Atmospheric Pollutant: Application to the Reconstruction of the Cesium-137 and Iodine-131 Source Terms from the Fukushima…
5. An inverse modeling method to assess the source term of the Fukushima Nuclear Power Plant accident using gamma dose rate observations
6. An Analysis of Operator Splitting Techniques in the Stiff Case
7. A review on the use of the adjoint method in four‐dimensional atmospheric‐chemistry data assimilation
8. Runge-Kutta methods in optimal control and the transformed adjoint system (Numerische Mathematik)
9. The kinetic preprocessor KPP*/a software environment for solving chemical kinetics
10. Introduction of the GSI into the NCEP Global Data Assimilation System

Their papers

• Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature (2014) — 5,740 citations
• Root mean square error (RMSE) or mean absolute error (MAE) (2014) — 929 citations
• Source term estimation using air concentration measurements and a Lagrangian dispersion model – Experiments with pseudo and real cesium-137 observations from the Fukushima nuclear accident (2015) — 50 citations
• Adjoint sensitivity analysis of regional air quality models (2005) — 257 citations