Hamid Moradkhani

Global and Planetary Change · 2005–2020

A researcher in the Science corpus: 7 papers; trusts 33 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 56 citations into it; #778 of 10,225 by trust here, #2,325 by citations
• Water Science and Technology — 38 citations into it; #81 of 1,711 by trust here, #395 by citations
• Atmospheric Science — 33 citations into it
• Environmental Engineering — 33 citations into it; #521 of 5,479 by trust here, #861 by citations
• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistics and Probability — 10 citations into it
• Finance — 9 citations into it

Whom Hamid Moradkhani trusts overall

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

1. Soroosh Sorooshian
2. Qingyun Duan
3. Hoshin V. Gupta
4. Dinh Tuan Pham
5. Arnaud Doucet
6. Rolf H. Reichle
7. David John Cameron MacKay
8. Neil J. Gordon
9. Thorsten Wagener
10. Vinod Kumar Gupta

Who trusts Hamid Moradkhani overall

1. Jasper A. Vrugt
2. Yuqiong Liu
3. Hoshin V. Gupta
4. Albrecht H. Weerts
5. William A. Lahoz
6. Dingbao Wang
7. Lihua Xiong
8. N. Bulygina
9. Bruce A. Robinson
10. Valentijn R. N. Pauwels

Papers from Hamid Moradkhani's perspective

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

1. Effective and efficient global optimization for conceptual rainfall‐runoff models
2. The future of distributed models: model calibration and uncertainty prediction.
3. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
4. Inference from Iterative Simulation Using Multiple Sequences
5. Bayesian recursive parameter estimation for hydrologic models
6. Sequential Monte Carlo methods for dynamic systems
7. Bayesian statistics without tears: A sampling-resampling perspective
8. Towards reduced uncertainty in conceptual rainfall‐runoff modelling: dynamic identifiability analysis
9. Filtering via Simulation: Auxiliary Particle Filters
10. Hydrologic Data Assimilation with the Ensemble Kalman Filter

Their papers

• Drought and food security in the middle east: An analytical framework (2020) — 120 citations
• A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis (2018) — 103 citations
• Ensemble Streamflow Prediction: Climate signal weighting methods vs. Climate Forecast System Reanalysis (2012) — 94 citations
• Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012) — 453 citations
• Snow water equivalent prediction using Bayesian data assimilation methods (2011) — 123 citations
• Dual state-parameter estimation of hydrological models using ensemble Kalman filter (2005) — 927 citations
• Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter (2005) — 746 citations