H. H. Franssen
Environmental Engineering · 2003–2016
A researcher in the Science corpus: 7 papers; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Environmental Engineering — 73 citations into it; #897 of 5,479 by trust here, #1,805 by citations
- Global and Planetary Change — 68 citations into it
- Water Science and Technology — 50 citations into it; #267 of 1,711 by trust here, #820 by citations
- Atmospheric Science — 42 citations into it; #1,347 of 4,804 by trust here, #3,694 by citations
- Civil and Structural Engineering — 29 citations into it; #2,180 of 6,160 by trust here, #2,715 by citations
- Ocean Engineering — 25 citations into it
- Geophysics — 15 citations into it; #652 of 1,958 by trust here, #1,194 by citations
- Artificial Intelligence — 14 citations into it
Whom H. H. Franssen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Tonkin
- Jeffrey L. Anderson
- Eugenia Kalnay
- John Doherty
- L. Y. Hu
- J. Whitaker
- Yaqing Gu
- A. Aksoy
- Sébastien Strebelle
- Roger Fletcher
Who trusts H. H. Franssen overall
- Wolfgang Nowak
- Haiyan Zhou
- Claudio Paniconi
- J. Jaime Gómez-Hernández
- M. Tonkin
- Wolfgang Kinzelbach
- Liangping Li
- Mario Putti
- A. Alcolea
- Yuqiong Liu
Papers from H. H. Franssen's perspective
Ordered by how strongly the researchers H. H. Franssen trusts endorse each paper. Same corpus, a different order for every researcher.
- An Ensemble Adjustment Kalman Filter for Data Assimilation
- The future of distributed models: model calibration and uncertainty prediction.
- Ensemble Data Assimilation without Perturbed Observations
- Hydrologic Data Assimilation with the Ensemble Kalman Filter
- Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data
- Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
- Role of the calibration process in reducing model predictive error
- Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
- A manifesto for the equifinality thesis
- A hybrid regularized inversion methodology for highly parameterized environmental models
Their papers
- Modeling Soil Processes: Review, Key Challenges, and New Perspectives (2016) — 696 citations
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012) — 453 citations
- Energy balance closure of eddy-covariance data: a multisite analysis for European FLUXNET stations. (2010) — 259 citations
- Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems (2009) — 96 citations
- A comparison of seven methods for the inverse modelling of groundwater flow. Application to the characterisation of well catchments (2009) — 198 citations
- Real‐time groundwater flow modeling with the Ensemble Kalman Filter: Joint estimation of states and parameters and the filter inbreeding problem (2008) — 320 citations
- Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data (2003) — 89 citations