Hai Huang

Global and Planetary Change · with Wu · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hai Huang trusts overall

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

  1. Michael Dowd
  2. Geir Evensen

Papers from Hai Huang's perspective

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

  1. Beyond the Kalman Filter: Particle Filters for Tracking Applications
  2. A sequential Monte Carlo approach for marine ecological prediction
  3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking (IEEE Transactions on Signal Processing)
  4. Variational Assimilation of Meteorological Observations With the Adjoint Vorticity Equation. Ii: Numerical Results
  5. Short survey Scaling-up crop models for climate variability applications $
  6. The Ensemble Kalman Filter: theoretical formulation and practical implementation
  7. The DSSAT cropping system model
  8. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (International Journal of Applied Earth Observation and Geoinformation)
  9. A review of data assimilation of remote sensing and crop models
  10. The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle (Proceedings of the IEEE)

Their papers