Hannes Müller Schmied
Global and Planetary Change · 2012–2018
A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 24 citations into it
- Water Science and Technology — 22 citations into it
- Atmospheric Science — 11 citations into it
- Ocean Engineering — 10 citations into it
Whom Hannes Müller Schmied trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hannes Müller Schmied's perspective
Ordered by how strongly the researchers Hannes Müller Schmied trusts endorse each paper. Same corpus, a different order for every researcher.
- Atmospheric Modeling, Data Assimilation and Predictability
- Hydrologic Data Assimilation with the Ensemble Kalman Filter
- The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments
- The Ensemble Kalman Filter: theoretical formulation and practical implementation
- Data Assimilation: The Ensemble Kalman Filter
- Climate change 2007: the physical science basis
- The gravity recovery and climate experiment: Mission overview and early results
- A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling.
- Increasing risk of great floods in a changing climate (Nature)
- Hydrological droughts in the 21st century, hotspots and uncertainties from a global multimodel ensemble experiment (Proceedings of the National Academy of Sciences of the United States of America)
Their papers
- Human impact parameterizations in global hydrological models improve estimates of monthly discharges and hydrological extremes: a multi-model validation study (2018) — 208 citations
- Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts (2018) — 144 citations
- The critical role of the routing scheme in simulating peak river discharge in global hydrological models (2017) — 164 citations
- Calibration/Data Assimilation Approach for Integrating GRACE Data into the WaterGAP Global Hydrology Model (WGHM) Using an Ensemble Kalman Filter: First Results (2013) — 196 citations
- How is the impact of climate change on river flow regimes related to the impact on mean annual runoff? A global-scale analysis (2012) — 361 citations