T. Jung

Global and Planetary Change · Geoscientific Model Development · 2005–2020

A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 109 citations into it; #6,636 of 10,225 by trust here, #2,222 by citations
• Atmospheric Science — 102 citations into it; #3,254 of 4,804 by trust here, #841 by citations

Whom T. Jung trusts overall

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

1. Tim N. Palmer
2. M. Wheeler
3. G. Shutts

Who trusts T. Jung overall

1. F. Vitart
2. Tim N. Palmer

Papers from T. Jung's perspective

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

1. An overview of CMIP5 and the experiment design
2. The Max-Planck-Institute global ocean/sea ice model with orthogonal curvilinear coordinates
3. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
4. OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project
5. Climate Change 2013: The Physical Science Basis
6. A nonlinear dynamical perspective on model error: A proposal for non‐local stochastic‐dynamic parametrization in weather and climate prediction models
7. A multi-resolution approach to global ocean modeling
8. Improving the global precipitation record: GPCP Version 2.1
9. Climate model genealogy
10. Tuning the climate of a global model

Their papers

• Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 (2020) — 166 citations
• The Polar Amplification Model Intercomparison Project (PAMIP) contribution to CMIP6: investigating the causes and consequences of polar amplification (2018) — 307 citations
• Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate (2015) — 200 citations
• Finite-Element Sea Ice Model (FESIM), version 2 (2015) — 153 citations
• Stochastic parametrization and model uncertainty (2009) — 322 citations
• Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales (2008) — 719 citations
• Representing model uncertainty in weather and climate prediction (2005) — 361 citations