Paul R. Houser

Global and Planetary Change · 2005–2015

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Global and Planetary Change — 51 citations into it; #2,112 of 10,225 by trust here, #2,870 by citations
• Atmospheric Science — 50 citations into it; #1,322 of 4,804 by trust here, #2,779 by citations
• Oceanography — 22 citations into it
• Environmental Engineering — 13 citations into it; #610 of 5,479 by trust here, #1,292 by citations
• Water Science and Technology — 10 citations into it; #222 of 1,711 by trust here, #557 by citations

Whom Paul R. Houser trusts overall

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

1. Geir Evensen
2. Rolf H. Reichle
3. G. De Lannoy
4. C. Keppenne
5. Dennis McLaughlin
6. Qingyun Duan
7. Soroosh Sorooshian
8. Thomas M. Hamill
9. Dara Entekhabi

Who trusts Paul R. Houser overall

1. G. De Lannoy
2. William A. Lahoz
3. Valentijn R. N. Pauwels
4. Dingbao Wang
5. D. Plaza
6. Philipp Schneider
7. Yuqiong Liu
8. Jasper A. Vrugt
9. Rolf H. Reichle
10. Hoshin V. Gupta

Papers from Paul R. Houser's perspective

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

1. The Ensemble Kalman Filter: theoretical formulation and practical implementation
2. Hydrologic Data Assimilation with the Ensemble Kalman Filter
3. Distance-dependent filtering of background error covariance estimates in an ensemble Kalman filter
4. Ensemble Kalman filter assimilation of temperature and altimeter data with bias correction and application to seasonal prediction
5. Ensemble Data Assimilation without Perturbed Observations
6. Bayesian recursive parameter estimation for hydrologic models
7. Shuffled complex evolution approach for effective and efficient global minimization
8. State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency
9. Assessment of model uncertainty for soil moisture through ensemble verification
10. Effective and efficient global optimization for conceptual rainfall‐runoff models

Their papers

• The Observed State of the Energy Budget in the Early Twenty-First Century (2015) — 172 citations
• The Observed State of the Water Cycle in the Early Twenty-First Century (2015) — 257 citations
• State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency (2007) — 114 citations
• Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter (2007) — 205 citations
• Assessment of model uncertainty for soil moisture through ensemble verification (2006) — 118 citations
• Land information system: An interoperable framework for high resolution land surface modeling (2006) — 710 citations
• Dual state-parameter estimation of hydrological models using ensemble Kalman filter (2005) — 927 citations