M. Clark
Global and Planetary Change · Hydrology and Earth System Sciences · 2005–2019
A researcher in the Science corpus: 16 papers; trusts 52 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 176 citations into it; #664 of 10,225 by trust here, #1,602 by citations
- Water Science and Technology — 172 citations into it; #51 of 1,711 by trust here, #243 by citations
- Environmental Engineering — 112 citations into it; #615 of 5,479 by trust here, #1,005 by citations
- Atmospheric Science — 56 citations into it; #1,079 of 4,804 by trust here, #2,465 by citations
- Ocean Engineering — 33 citations into it; #734 of 3,193 by trust here, #1,606 by citations
- Civil and Structural Engineering — 18 citations into it
- Statistics and Probability — 16 citations into it
- Ecology — 14 citations into it
Whom M. Clark trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Keith Beven
- Hoshin V. Gupta
- Dmitri Kavetski
- Jasper A. Vrugt
- George A. Kuczera
- N. Bulygina
- Qingyun Duan
- Thorsten Wagener
- Andrea Saltelli
- Benjamin Renard
Who trusts M. Clark overall
- Jasper A. Vrugt
- Keith Beven
- Yuqiong Liu
- Hoshin V. Gupta
- M. Hrachowitz
- Ming Ye
- Aynom T. Teweldebrhan
- Mojtaba Sadegh
- Jonathan D. Herman
- Xiaoqing Shi
Papers from M. Clark's perspective
Ordered by how strongly the researchers M. Clark trusts endorse each paper. Same corpus, a different order for every researcher.
- Effective and efficient global optimization for conceptual rainfall‐runoff models
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- A manifesto for the equifinality thesis
- Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology
- The future of distributed models: model calibration and uncertainty prediction.
- An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
- Bayesian calibration of computer models
- Bayesian analysis of input uncertainty in hydrological modeling: 1. Theory
- Accelerating Markov Chain Monte Carlo Simulation by Differential Evolution with Self-Adaptive Randomized Subspace Sampling
- Hydrological forecasting uncertainty assessment: Incoherence of the GLUE methodology
Their papers
- The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty (2019) — 1,357 citations
- On the choice of calibration metrics for “high-flow” estimation using hydrologic models (2019) — 153 citations
- HESS Opinions : The complementary merits of competing modelling philosophies in hydrology (2017) — 204 citations
- Simulating North American mesoscale convective systems with a convection-permitting climate model (2017) — 206 citations
- The evolution of process-based hydrologic models: Historical challenges and the collective quest for physical realism. (2017) — 311 citations
- A philosophical basis for hydrological uncertainty (2016) — 143 citations
- Towards simplification of hydrologic modeling: identification of dominant processes (2016) — 71 citations
- Large-sample hydrology: a need to balance depth with breadth (2013) — 301 citations
- Towards a comprehensive assessment of model structural adequacy (2012) — 435 citations
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012) — 453 citations
- Pursuing the method of multiple working hypotheses for hydrological modeling (2011) — 557 citations
- Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models (2011) — 260 citations
- Ancient numerical daemons of conceptual hydrological modeling: 2. Impact of time stepping schemes on model analysis and prediction (2010) — 173 citations
- Treatment of input uncertainty in hydrologic modeling: Doing hydrology backward with Markov chain Monte Carlo simulation (2008) — 845 citations
- Statistical downscaling using K‐nearest neighbors (2005) — 146 citations
- Probabilistic Quantitative Precipitation Estimation in Complex Terrain (2005) — 205 citations