Chiyuan Miao
Global and Planetary Change · 2013–2020
A researcher in the Science corpus: 7 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 41 citations into it
- Statistics and Probability — 37 citations into it
- Management Science and Operations Research — 27 citations into it
- Computational Theory and Mathematics — 21 citations into it
- Artificial Intelligence — 11 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Chiyuan Miao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Qingyun Duan
- K. Taylor
- Matt P. Wand
- C. Tebaldi
- C. Piani
- Haibin Li
- M. Grillakis
- Justin Sheffield
- R. Stouffer
- Ed Hawkins
Papers from Chiyuan Miao's perspective
Ordered by how strongly the researchers Chiyuan Miao trusts endorse each paper. Same corpus, a different order for every researcher.
- An overview of CMIP5 and the experiment design
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- The use of the multi-model ensemble in probabilistic climate projections (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
- Statistical bias correction for daily precipitation in regional climate models over Europe
- Improvement of the Multimodel Superensemble Technique for Seasonal Forecasts
- Making best use of model evaluations to compute sensitivity indices
- Can multi‐model combination really enhance the prediction skill of probabilistic ensemble forecasts?
- A Taxonomy of Global Optimization Methods Based on Response Surfaces
- The future of distributed models: model calibration and uncertainty prediction.
- HESS Opinions "Should we apply bias correction to global and regional climate model data?"
Their papers
- An evaluation of adaptive surrogate modeling based optimization with two benchmark problems (2014) — 252 citations
- Soil erosion modelling: A global review and statistical analysis (2020) — 579 citations
- A nonstationary bias‐correction technique to remove bias in GCM simulations (2016) — 149 citations
- An Intercomparison of Sampling Methods for Uncertainty Quantification of Environmental Dynamic Models (2015) — 52 citations
- A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model (2014) — 342 citations
- Assessment of CMIP5 climate models and projected temperature changes over Northern Eurasia (2014) — 215 citations
- Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis (2013) — 89 citations