Michael K. Tippett
Global and Planetary Change · 2003–2017
A researcher in the Science corpus: 14 papers; trusts 46 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 77 citations into it; #1,273 of 10,225 by trust here, #3,676 by citations
- Atmospheric Science — 76 citations into it; #749 of 4,804 by trust here, #1,743 by citations
- Statistics and Probability — 16 citations into it
- Oceanography — 11 citations into it; #1,891 of 4,047 by trust here, #3,068 by citations
- Artificial Intelligence — 10 citations into it
- Economics and Econometrics — 9 citations into it; #11,331 of 23,481 by trust here, #17,346 by citations
- Environmental Engineering — 6 citations into it
- Statistical and Nonlinear Physics — 6 citations into it; #5,852 of 10,127 by trust here, #8,120 by citations
Whom Michael K. Tippett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Delsole
- Richard Kleeman
- Thomas M. Hamill
- Francisco J. Doblas-Reyes
- R. Hagedorn
- D. Wilks
- Balaji Rajagopalan
- Eric R. Ziegel
- A. Barnston
- Jeffrey L. Anderson
Who trusts Michael K. Tippett overall
- T. Delsole
- A. Barnston
- Hannah L. Cloke
- L. Trenary
- Florian Pappenberger
- H. Dool
- Stefan Siegert
- D. Unger
- F. Zheng
- K. Pegion
Papers from Michael K. Tippett's perspective
Ordered by how strongly the researchers Michael K. Tippett trusts endorse each paper. Same corpus, a different order for every researcher.
- Deterministic nonperiodic flow
- An analysis of multimodel ensemble predictions for seasonal climate anomalies
- Measures of skill and value of ensemble prediction systems, their interrelationship and the effect of ensemble size
- The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
- Generalized Linear Models
- Some aspects of the improvement in skill of numerical weather prediction
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- Measuring Dynamical Prediction Utility Using Relative Entropy
- A Sequential Ensemble Kalman Filter for Atmospheric Data Assimilation
- Ensemble Data Assimilation without Perturbed Observations
Their papers
- Predictability: Recent insights from information theory (2007) — 161 citations
- Average Predictability Time. Part II: Seamless Diagnoses of Predictability on Multiple Time Scales (2009) — 70 citations
- Predictability of Week-3–4 Average Temperature and Precipitation over the Contiguous United States (2017) — 58 citations
- Toward an Improved Multimodel ENSO Prediction (2015) — 59 citations
- Comparing Forecast Skill (2014) — 58 citations
- Skill improvement from increased ensemble size and model diversity (2014) — 74 citations
- Predictions of Nino3.4 SST in CFSv1 and CFSv2: a diagnostic comparison (2013) — 53 citations
- Is unequal weighting significantly better than equal weighting for multi‐model forecasting? (2013) — 73 citations
- A Poisson Regression Index for Tropical Cyclone Genesis and the Role of Large-Scale Vorticity in Genesis (2011) — 265 citations
- Average Predictability Time. Part I: Theory (2009) — 58 citations
- Skill of Multimodel ENSO Probability Forecasts (2008) — 66 citations
- Estimation of Seasonal Precipitation Tercile-Based Categorical Probabilities from Ensembles (2007) — 63 citations
- Pacific meridional mode and El Niño—Southern Oscillation (2007) — 339 citations
- Ensemble Square Root Filters (2003) — 236 citations