Sujay V. Kumar

Atmospheric Science · 2006–2012

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sujay V. Kumar trusts overall

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

  1. Rolf H. Reichle
  2. Dennis McLaughlin
  3. Yuhua Zhou
  4. Dara Entekhabi
  5. Chris N. Hill
  6. John Michalakes

Who trusts Sujay V. Kumar overall

  1. M. Clark

Papers from Sujay V. Kumar's perspective

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

  1. Hydrologic Data Assimilation with the Ensemble Kalman Filter
  2. Assessing the Performance of the Ensemble Kalman Filter for Land Surface Data Assimilation
  3. The future of distributed models: model calibration and uncertainty prediction.
  4. Dual state-parameter estimation of hydrological models using ensemble Kalman filter
  5. Towards a Bayesian total error analysis of conceptual rainfall-runoff models: Characterising model error using storm-dependent parameters
  6. An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction
  7. A manifesto for the equifinality thesis
  8. The rationale behind the success of multi-model ensembles in seasonal forecasting — I. Basic concept
  9. Towards the characterization of streamflow simulation uncertainty through multimodel ensembles
  10. Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission (IEEE Transactions on Geoscience and Remote Sensing)

Their papers