Publication
Google Scholar Profile: Paul R. Houser
Mendeley Profile: Paul R. Houser
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Potential soil moisture products from the Aquarius radiometer and scatterometer using an observing system simulation experiment
Y. Luo, X. Feng, P. Houser, V. Anantharaj, X. Fan, G. De Lannoy, X. Zhan,and L. Dabbiru, 2012: Potential soil moisture products from the Aquarius radiometer and scatterometer using an observing system simulation experiment. Geosci. Instrum. Method. Data Syst. Discuss., 2, 457–476, 2012 www.geosci-instrum-method-data-syst-discuss.net/2/457/2012/ doi:10.5194/gid-2-457-2012 [pdf]
Assimilation and Downscaling of Satellite Observed Soil Moisture over the Little River Experimental Watershed in GeorgiaSahoo, A.K., De Lannoy, G.J.M., Reichle, R.H., Houser, P.R., Assimilation and Downscaling of Satellite Observed Soil Moisture over the Little River Experimental Watershed in Georgia, USA, Advances in Water Resources (2012), doi: http://dx.doi.org/10.1016/j.advwatres.2012.08.007 [pdf]
A Method for Estimating Potential Seasonal Predictability: Analysis of CovarianceFeng, Xia, Timothy DelSole, Paul Houser, 2012: A Method for Estimating Potential Seasonal Predictability: Analysis of Covariance. J. Climate, 25, 5292–5308. doi: http://dx.doi.org/10.1175/JCLI-D-11-00342.1 [pdf]
Book Chapter: Hydrologic Data AssimilationPaul R. Houser, Gabriëlle J.M. De Lannoy and Jeffrey P. Walker (2012). Hydrologic Data Assimilation, Approaches to Managing Disaster – Assessing Hazards, Emergencies and Disaster Impacts, Prof. John Tiefenbacher (Ed.), ISBN: 978-953-51-0294-6, InTech, Available from: http://www.intechopen.com/books/approaches-to-managing-disaster-assessing-hazards-emergencies-and-disaster-impacts/land-surface-data-assimilation [pdf]
Reply to comment by Keith J. Beven and Hannah L. Cloke on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water”Wood, E., J. K. Roundy, T. J. Troy, R. van Beek, M. Bierkens, E. Blyth, A. de Roo, P. Döll, M. Ek, J. Famiglietti, D. Gochis, N. van de Giesen, P. Houser, P. Jaffe, S. Kollet1, B. Lehner, D. P. Lettenmaier, C. Peters-Lidard, M. Sivapalan, J. Sheffield, A. Wade, P. Whitehead, (2012), Reply to comment by Keith J. Beven and Hannah L. Cloke on “Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth’s terrestrial water”, Water Resour. Res., 48, W01802, doi:10.1029/2011WR011202. [pdf]
Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern ColoradoGabriëlle J. M. De Lannoy, Rolf H. Reichle, Kristi R. Arsenault, Paul R. Houser, Sujay Kumar, Niko E. C. Verhoest, and Valentijn R. N. Pauwels, 2012: Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado. Water Resour. Res., 48, 1, doi:10.1029/2011WR010588, 2012 [pdf]
Reducing Water Imbalance in Land Data Assimilation: Ensemble Filtering without Perturbed ObservationsYilmaz, M. Tugrul; DelSole, Timothy; Houser, Paul R.., 2012: Reducing Water Imbalance in Land Data Assimilation: Ensemble Filtering without Perturbed Observations. Journal of Hydrometeorology, Feb2012, Vol. 13 Issue 1, p413-420. [pdf]
Bootstrap estimated seasonal potential predictability of global temperature and precipitationFeng, X., T. DelSole, and P. Houser (2011), Bootstrap estimated seasonal potential predictability of global temperature and precipitation, Geophysical Research Letter, 38, L07702, doi:10.1029/2010GL046511. [pdf]
An optimal merging technique for high-resolution precipitation productsShrestha, R., P. R. Houser, and V. G. Anantharaj (2011), An optimal merging technique for high-resolution precipitation products, J. Adv. Model. Earth Syst., 3, M12003, doi:10.1029/2011MS000062. [pdf]
Hyper-Resolution Global Land Surface Modeling: Meeting a Grand Challenge for Monitoring Earth’s Terrestrial WaterWood, E., J. K. Roundy, T. J. Troy, R. van Beek, M. Bierkens, E. Blyth, A. de Roo, P. Döll, M. Ek, J. Famiglietti, D. Gochis, N. van de Giesen, P. Houser, P. Jaffe, S. Kollet1, B. Lehner, D. P. Lettenmaier, C. Peters-Lidard, M. Sivapalan, J. Sheffield, A. Wade, P. Whitehead, 2011: Hyper-Resolution Global Land Surface Modeling: Meeting a Grand Challenge for Monitoring Earth’s Terrestrial Water. Water Resour. Res., 47, W05301, doi:10.1029/2010WR010090. [pdf]
Investigation of the 2006 Drought and 2007 Flood Extremes at the Southern Great Plains Through an Integrative Analysis of ObservationsDong. X., B. Xi , A. Kennedy, Z. Feng, J. Entin, P. Houser, R. Schiffer, T. L’Ecuyer, B. Olson, K. Hsu, W. T. Liu, B. Lin, Y. Deng, T. Jiang, 2011: Investigation of the 2006 Drought and 2007 Flood Extremes at the Southern Great Plains Through an Integrative Analysis of Observations, J. Geophys. Res., 116, D03204, doi:10.1029/2010JD014776, 2011 [pdf]
Improving Land Data Assimilation Performance with a Water Budget ConstraintYilmaz, M. Tugrul; DelSole, Timothy; Houser, Paul R., 2011: Improving Land Data Assimilation Performance with a Water Budget Constraint. Journal of Hydrometeorology, Oct2011, Vol. 12 Issue 5, p1040-1055 [pdf]
Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructureW. Li, C. Yang, D. Nebert, R. Raskin, P. Houser, H. Wu, Z. Li, 2011: Semantic-based web service discovery and chaining for building an Arctic spatial data infrastructure Computers & Geosciences, Volume 37, Issue 11, November 2011, Pages 1752-1762 [pdf]
Optimally Merging Precipitation by Minimizing Land Surface Modeling ErrorsM. Tugrul Yilmaz, M. Tugrul, Paul R. Houser, Roshan Shrestha and Valentine Anantharaj (2010). Optimally Merging Precipitation by Minimizing Land Surface Modeling Errors. Journal Applied Meteorology and Climatology, 49(3), 415-423. doi: 10.1175/2009JAMC2305.1 (Download PDF reprint.) (AMS Copyright Policy.)
Observed and simulated water and energy budget components at SCAN sites in the lower Mississippi BasinGabriëlle J. M. De Lannoy, Julie Ufford, Alok K. Sahoo, Paul Dirmeyer and Paul R. Houser, 2010: Observed and simulated water and energy budget components at SCAN sites in the lower Mississippi Basin. Volume 25, Issue 4, 15 February 2011, Pages: 634–649, 24 SEP 2010, DOI: 10.1002/hyp.7855 [pdf]
A heterogeneous land surface model initialization studyShrestha, R., and P. Houser, 2010: A heterogeneous land surface model initialization study, J. Geophys. Res., 115, D19111, doi:10.1029/2009JD013252. [pdf]
Book Chapter: Land Surface Data AssimilationHouser, P. R., De Lannoy, G., and Walker, J. P. 2010. Land Surface Data Assimilation, p549-598. In: Lahoz, W., Khatattov, B. and Menard, R. (Eds.), Data Assimilation: Making sense of observations, Springer, The Netherlands, 2010, 732pp. [pdf]
Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface ModelDe Lannoy, Gabriëlle J. M.; Reichle, Rolf H.; Houser, Paul R.; Arsenault, Kristi R.; Verhoest, Niko E. C.; Pauwels, Valentijn R. N., 2010: Satellite-Scale Snow Water Equivalent Assimilation into a High-Resolution Land Surface Model. Journal of Hydrometeorology, Apr2010, Vol. 11 Issue 2, p352-369. [pdf]
Adaptive soil moisture profile filtering for horizontal information propagation in the independent columnbased CLM2.0De Lannoy, G.J.M., P.R. Houser, N.E.C. Verhoest, and V.R.N. Pauwels, 2010: Adaptive soil moisture profile filtering for horizontal information propagation in the independent columnbased CLM2.0, Journal of Hydrometeorology, 10(3), 766-779. [pdf]
Middleware-Based Sensor Web IntegrationTian, Y.; Geiger, J.V.; Hongbo Su; Kumar, S.V.; Houser, P.R., 2010: Middleware-Based Sensor Web Integration. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of , Volume: 3 , Issue: 4 , Part: 1 Digital Object Identifier: 10.1109/JSTARS.2010.2049732 Publication Year: 2010 , Page(s): 467 – 472. [pdf]
NASA Cold Land Processes Experiment (CLPX 2002/03): Ground-Based and Near-Surface Meteorological ObservationsElder, K., D. Cline, A. Goodbody, P. Houser, G. E. Liston, L. Mahrt, and N. Rutter, 2009: NASA Cold Land Processes Experiment (CLPX 2002/03): Ground-Based and Near-Surface Meteorological Observations. Journal of Hydrometeorology, Vol. 10, Iss. 1, pp. 330–337. [pdf]
L band observations over a corn canopy during the entire growing seasonJoseph, A.T., Van Der Velde, R., O’Neill, P.E., Choudhury, B.J., Liang, S., Lang, R.H., Kim, E., Gish, T.J., Houser, P.R. 2008. L Ban observations over a corn canopy during the entire growing season. International Journal of Remote Sensing. 46(8):1-11.
Integrating sensor webs with modeling and data-assimilation applications: An SOA implementationTian, Y., P.R. Houser, H. Su, S.V. Kumar, and J.V. Geiger Jr. (2008). Integrating sensor webs with modeling and data-assimilation applications: An SOA implementation Proc. IEEE Aerospace Conf.
The impact of snow model complexity at three CLPX sitesFeng, X., A. Sahoo, K. Arsenault, P. Houser, Y. Luo, and T. J. Troy, 2008: The impact of snow model complexity at three CLPX sites. J. Hydrometeor., 9, 1464–1481. [pdf]
Evaluation of AMSR-E soil moisture results using the in-situ data over the Little River Experimental Watershed, GeorgiaSahoo, A. K.; Houser, P. R.; Ferguson, C.; Wood, E. F., Dirmeyer, P. A. and Kafatos, M., 2008: Evaluation of AMSR-E soil moisture results using the in-situ data over the Little River Experimental Watershed, Georgia, Remote Sensing of Environment,, v. 112, no. 6, p. 3142-3152. [pdf]
A study of Land surface processes using land surface models over the Little River Experimental Watershed, GeorgiaSahoo, A. K.; Dirmeyer, P. A.; Houser, P. R. and Kafatos, M., 2008: A study of Land surface processes using land surface models over the Little River Experimental Watershed, Georgia, J. Geophysical Research-Atmosphere,, v. 113, D20121, doi:1029/2007JD009671. [pdf]
An investigation of GSWP‐2 Mississippi River basin surface water and energy budgetsX. Feng and P. Houser, 2008: An investigation of GSWP‐2 Mississippi River basin surface water and energy budgets. J. Geophys. Res., 113, D15118, doi:10.1029/2007JD009144, 2008 [pdf]
A Goddard Multi-Scale Modeling System with Unified PhysicsTao, W.-K., D. Anderson, R. Atlas, J. Chern, P. Houser, A. Hou, S. Lang, W. Lau, C. Peters-Lidard, R. Kakar, S. Kumar, W. Lapenta, X. Li, T. Matsui, R. Rienecker, B.-W. Shen, J. J. Shi, J. Simpson, and X. Zeng, 2008: A Goddard Multi-Scale Modeling System with Unified Physics. World Climate Research Programme Global Energy and Water Cycle Experiment (WCRP/GEWEX) Newsletter, Vol 18, No 1, 6-8. [pdf]
An Integrated Hydrologic Modeling and Data Assimilation FrameworkKumar, Sujay, Christa Peters-Lidard, Yudong Tian, Rolf Reichle, James Geiger, Charles Alonge, John Eylander, Paul Houser, “An Integrated Hydrologic Modeling and Data Assimilation Framework,” Computer, vol. 41, no. 12, pp. 52-59, Dec. 2008, doi:10.1109/MC.2008.511. [pdf]
A Land Surface Data Assimilation Framework using the Land Information System: Description and ApplicationsKumar, S. V., R. H. Reichle, C. D. Peters-Lidard, R. D. Koster, X. Zhan, W. T. Crow, J. B. Eylander, and P. R. Houser, 2008: A Land Surface Data Assimilation Framework using the Land Information System: Description and Applications, Advances in Water Resources, 31, 1419-1432, doi:10.1016/j.advwatres.2008.01.013. [pdf]
High Performance Land Surface Modeling with a Linux ClusterTian, Y., C. D. Peters-Lidard, S. V. Kumar, J. Geiger, P. R. Houser, J. L. Eastman, P. Dirmeyer, B. Doty and J. Adams, 2008: High Performance Land Surface Modeling with a Linux Cluster. Computers & Geosciences, Volume 34, Issue 11, November 2008, Pages 1492-1504. [pdf]
An Investigation of GSWP-2 Mississippi River basin surface water and energy budgetsFeng, X., and P. Houser, 2008: An Investigation of GSWP-2 Mississippi River basin surface water and energy budgets, J. Geophys. Res., 113, D15118, doi:10.1029/2007JD009144. [pdf]
Upscaling of point soil moisture measurements to field averages at the OPE3 test siteGabriëlle J.M. De Lannoy, Paul R. Houser, Niko E.C. Verhoest, Valentijn R.N. Pauwels, Timothy J. Gish, 2007: Upscaling of point soil moisture measurements to field averages at the OPE3 test site, Journal of Hydrology, Volume 343, Issues 1–2, 15 September 2007, Pages 1-11 [pdf]
Correction to “Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter”De Lannoy, G. J. M., R. H. Reichle, P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest (2007), Correction to “Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter”, Water Resour. Res.,43, W10799, doi:10.1029/2007WR006542. [pdf]
Enhancements for California-Nevada River Forecasting Center’s (CNRFC) Streamflow Forecasting by High Resolution Data Assimilation, Atmospheric and Land Surface ModelsPozzi, W., P. Houser, D. Matthews, 2007: Enhancements for California-Nevada River Forecasting Center’s (CNRFC) Streamflow Forecasting by High Resolution Data Assimilation, Atmospheric and Land Surface Models, NASA Formulation Report, peer reviewed and publically disseminated via the NASA Solutions Networks Hub. [pdf]
Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filterDe Lannoy, G. J. M., R. H. Reichle, P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest , 2007: Correcting for forecast bias in soil moisture assimilation with the ensemble Kalman filter, Water Resour. Res., 43, W09410, doi:10.1029/2006WR005449. [pdf]
State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequencyDe Lannoy, G. J. M., P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest, 2007: State and bias estimation for soil moisture profiles by an ensemble Kalman filter: Effect of assimilation depth and frequency, Water Resour. Res., 43, W06401, doi:10.1029/2006WR005100. [pdf]
Impacts of vegetation and cold season processes on soil moisture and climate relationships over EurasiaDong, J., W. Ni-Meister, and P. R. Houser, 2007. Impacts of vegetation and cold season processes on soil moisture and climate relationships over Eurasia, J. Geophys. Res., 112, D09106, doi:10.1029/2006JD007774. [pdf]
Assessing a Satellite-Era Perspective of the Global Water CycleSchlosser CA, and Houser PR ,2007. Assessing a Satellite-Era Perspective of the Global Water Cycle. Journal of Climate: Vol. 20, No. 7 pp. 1316–1338. [pdf]
High Performance Earth System Modeling with NASA/GSFC’s Land Information System. Innovations in Systems and Software EngineeringPeters-Lidard, C. D., P. R. Houser, Y. Tian, S. V. Kumar, J. Geiger, S. Olden, L. Lighty, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E.F. Wood, J. Sheffield, 2007: High Performance Earth System Modeling with NASA/GSFC’s Land Information System. Innovations in Systems and Software Engineering, 3(3), 157-165, DOI=http://dx.doi.org/10.1007/s11334-007-0028-x. [pdf]
Scanning multichannel microwave radiometer snow water equivalent assimilationDong, J., J. P. Walker, P. R. Houser, and C Sun, 2007. Scanning multichannel microwave radiometer snow water equivalent assimilation, J. Geophys. Res., 112, D07108, doi:10.1029/2006JD007209. [pdf]
Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3)DeLannoy, G.J.M., N.E.C. Verhoest, P. R. Houser, T. J. Gish and M. Van Meirvenne, 2006: Spatial and temporal characteristics of soil moisture in an intensively monitored agricultural field (OPE3), Journal of Hydrology, 331(3-4): 719-730 [pdf]
A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrologyKrajewski, W. F.; Anderson, M. C.; Eichinger, W. E.; Entekhabi, D.; Hornbuckle, B. K.; Houser, P. R.; Katul, G. G.; Kustas, W. P.; Norman, J. M.; Peters-Lidard, C.; Wood, E. F., 2006. A remote sensing observatory for hydrologic sciences: A genesis for scaling to continental hydrology, Water Resour. Res., Vol. 42, No. 7, W07301, doi: 10.1029/2005WR004435. [pdf]
International Global Precipitation Measurement (GPM) Program and Mission: An overviewSmith, E.A., G. Asrar, Y. Furuhama, A. Ginati, R. Adler, V. Casse, J. Durning, J. Entin, P. Houser, T. Iguchi, R. Kakar, J. Kaye, M. Kojima, C. Kummerow, V. Levizzani, M. Luther, A. Mehta, P. Morel, A. Mugnai, K. Nakamura, T. Nakazawa, S. Neeck, R. Oki, G. Raju, M. Shepherd, J. Simpson, E. Stocker, and J. Testud, 2006: International Global Precipitation Measurement (GPM) Program and Mission: An overview, In: Measuring Precipitation from Space: EURAINSAT and the Future, V. Levizzani, P. Bauer, and F.J. Turk, eds., Dordrecht, The Netherlands: Kluwer Publishers. [pdf]
Toward a South America Land Data Assimilation System: Aspects of land surface model spin-up using the Simplified Simple Biospherede Goncalves, L. G. G., W. J. Shuttleworth, E. J. Burke, P. Houser, D. L. Toll, M. Rodell, and K. Arsenault, 2006: Toward a South America Land Data Assimilation System: Aspects of land surface model spin-up using the Simplified Simple Biosphere, J. Geophys. Res., 111, D17110, doi:10.1029/2005JD006297. [pdf]
Impact of different initial soil moisture fields on Eta model weather forecasts for South Americade Goncalves, L. G. G., W. J. Shuttleworth, S. C. Chou, Y. Xue, P. R. Houser, D. L. Toll, J. Marengo, and M. Rodell: 2006. Impact of different initial soil moisture fields on Eta model weather forecasts for South America, J. Geophys. Res., 111, D17102, doi:10.1029/2005JD006309. [pdf]
Evaluation of model-derived and of model-derived and remotely sensed precipitation products for continental South Americade Goncalves, L. G. G., W. J. Shuttleworth, B. Nijssen, E. J. Burke, J. A. Marengo, S. C. Chou, P. Houser, and D. L. Toll, 2006: Evaluation of model-derived and remotely sensed precipitation products for continental South America, J. Geophys. Res., 111, D16113, doi:10.1029/2005JD006276. [pdf]
Land Information System: An interoperable framework for high resolution land surface modelingKumar, S. V., C.D. Peters-Lidard, Y. Tian, P.R. Houser, J. Geiger, S. Olden, L. Lighty, J.L. Eastman, B. Doty, P. Dirmeyer, J. Adams, K. Mitchell, E.F. Wood and J. Sheffield, 2006: Land Information System: An interoperable framework for high resolution land surface modeling. Environmental Modelling & Software, Volume 21, Issue 10 , October 2006, Pages 1402-1415. [pdf]
U.S. Contributions to the Coordinated Enhanced Observing Period (CEOP)Lawford, R., M. Bosilovich, S. Eden, S. Benedict, C. Brown, A. Gruber, P. Houser, T. Meyers, K. Mitchell, C. Peters-Lidard, J. Roads, M. Rodell, D. Tarpley, and S. Williams, 2006. U.S. Contributions to the Coordinated Enhanced Observing Period (CEOP), Bulletin of the American Meteorological Society: Vol. 87, No. 7, pp. 927–939, doi: 10.1175/BAMS-87-7-927. [pdf]
Assessment of model uncertainty for soil moisture through ensemble verificationDeLannoy, G. J. M., P. R. Houser, V. R. N. Pauwels, and N. E. C. Verhoest, 2006. Assessment of model uncertainty for soil moisture through ensemble verification, J. Geophys. Res., 111, D10101, doi:10.1029/2005JD006367. [pdf]
A Method for Retrieving High Resolution Surface Soil Moisture from Hydros L-Band Radiometer and RadarZhan, X., Houser, P. R., Walker, J. P. and Crow, W., 2006. A Method for Retrieving High Resolution Surface Soil Moisture from Hydros L-Band Radiometer and Radar Observations. IEEE Transactions on Geoscience and Remote Sensing, 1534-1544. [pdf]
Soil moisture initialization for climate prediction: Assimilation of scanning multifrequency microwave radiometer soil moisture data into a land surfaceNi-Meister, W., P. R. Houser, and J. P. Walker, 2006. Soil moisture initialization for climate prediction: Assimilation of scanning multifrequency microwave radiometer soil moisture data into a land surface model, J. Geophys. Res., 111, D20102, doi:10.1029/2006JD007190. [pdf]
Development of Land Surface Albedo Parameterization Based on MODIS dataLiang, X.-Z. M. Xu, W. Gao, K. Kunkel, J. Slusser, Y. Dai, Q. Min, P. Houser, M. Rodell, C. Schaaf and F. Gao (2005). Development of Land Surface Albedo Parameterization Based on MODIS data. JGR – Atmospheres, 110, D11107. [pdf]
An observing system simulation experiment for Hydros radiometer-only soil moisture productsCrow, W.T., T. Chen, D. Entekhabi, P. Houser, A. Hsu, T. Jackson, E. Njoku, P. O’Neill, J. Shi, and X. Zhan, 2005: “An observing system simulation experiment for Hydros radiometer-only soil moisture products,” IEEE Transactions on Geoscience and Remote Sensing, 43(6), 1289-1303. [pdf]
Development of a Hydrometeorological Forcing Data Set for Global Soil Moisture EstimationBerg, A. A., J. S. Famiglietti, M. Rodell, R. H. Reichle, U. Jambor, S. L. Holl and P. R. Houser, 2005, Development of a Hydrometeorological Forcing Data Set for Global Soil Moisture Estimation, Int. J. Climatol. 25, 1697- 1714. [pdf]
Evaluation of ten methods for initializing a land surface modelRodell, M., P. R. Houser, A. A. Berg, and J. S. Famiglietti, 2005. Evaluation of ten methods for initializing a land surface model, J. Hydromet., 6 (2), 146-155. [pdf]
Analysis of multiple precipitation products and preliminary assessment of their impact on Global Land Data Assimilation System (GLDAS) land surface statesGottschalck, J., J. Meng, M. Rodell, and P. Houser, 2005. Analysis of multiple precipitation products and preliminary assessment of their impact on Global Land Data Assimilation System (GLDAS) land surface states, J. Hydromet.,573-598. [pdf]
Root Zone Soil Moisture Retrieval Using Streamflow and Surface Soil Moisture Data AssimilationRüdiger, C., J.P. Walker, J.D. Kalma, G.R. Willgoose, and P.R. Houser, 2005. Root Zone Soil Moisture Retrieval Using Streamflow and Surface Soil Moisture Data Assimilation, in: Zerger, A. and Argent, R.M. (eds), MODSIM 2005 International Congress on Modelling and Simulation. Modelling and Simulation Society ofAustralia and New Zealand, Inc., 12-15 December, 2005, pp. 1458-1464. [pdf]
Book Chapter: Hydrologic Data AssimilationWalker, J. P. and Houser, P. R., 2005. Hydrologic Data Assimilation, In: A. Aswathanarayana (Ed.), Advances in Water Science Methodologies, A.A. Balkema, TheNetherlands, 230pp. [pdf]
Factors Affecting Remotely Sensed Snow Water Equivalent UncertaintyDong, J., Walker, J. P. and Houser, P. R., 2005. Factors Affecting Remotely Sensed Snow Water Equivalent Uncertainty. Remote Sensing of Environment, 97(1): 68-82, doi:10.1016/j.rse.2005.04.010. Copyright 2005 Elsevier Science Ltd. [pdf]
Soil Moisture Initialization for Climate Prediction: Characterization of Model and Observation ErrorsNi-Meister, W., Walker, J. P. and Houser, P. R., 2005. Soil Moisture Initialization for Climate Prediction: Characterization of Model and Observation Errors. Journal of Geophysical Research – Atmospheres, 110, D13111, doi:10.1029/2004JD005745. Copyright 2005 American Geophysical Union. [pdf]
The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling systemMitchell, K.E., Lohmann, D., Houser, P.R., Wood, E.F., Schaake, J.C., Robock, A., Cosgrove, B.A., Sheffield, J., Duan, Q., Luo, L., Higgins, R.W., Pinker, R.T., Tarpley, J.D., Lettenmaier, D.P., Marshall, C.H., Entin, J.K., Pan, M., Shi, W., Koren, V., Meng, J., Ramsay, B.H., Bailey, A.A., 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. Journal of Geophysical Research A: Space Physics, volume 109, issue 7, year 2004, pp. D07 – S90 [pdf]
Impact of horizontal and vertical heterogeneities on retrievals using multiangle microwave brightness temperature dataBurke, E.J.; Shuttleworth, W.J.; Houser, P.R., 2004: Impact of horizontal and vertical heterogeneities on retrievals using multiangle microwave brightness temperature data. Geoscience and Remote Sensing, IEEE Transactions on, Volume: 42 , Issue: 7 Digital Object Identifier: 10.1109/TGRS.2004.828922 Publication Year: 2004 , Page(s): 1495 – 1501. [pdf]
Book Chapter: Terrestrial data assimilationHouser, P., Hutchinson, M. F., Viterbo, P., Hervé Douville, J., and Running, S. W. 2004. Terrestrial data assimilation, Chapter C.4 in Vegetation, Water, Humans and the Climate. Global Change – The IGB Series. Kabat, P. et al. (eds). Springer,Berlin. [pdf]
The Hydrosphere State (Hydros) Satellite Mission: An Earth System Pathfinder for Global Mapping of Soil Moisture and Land Freeze/ThawEntekhabi, D, Njoku, E., Houser, P., Spenser, M., Doiron, T. Kim, Y., Smith, J., Girard, R., Belair, S., Crow, W., Jackson, T., Kerr, Y., Kimball, J., Koster, R. McDonald, K., O’Neill, P., Pultz, T., Running, S., Shi, J., Wood, E., van Zyl, J. 2004. The Hydrosphere State (Hydros) Satellite Mission: An Earth System Pathfinder for Global Mapping of Soil Moisture and Land Freeze/Thaw, IEEE Trans. Geoscience and Remote Sensing, vol. 42, no. 10, 2184-2195. [pdf]
The Global Land Data Assimilation SystemRodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng, C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin, J. K., Walker, J. P., Lohmann D. and Toll, D., 2004. The Global Land Data Assimilation System. Bulletin of the American Meteorological Society, 85(3):381-394. Copyright 2004 American Meteorological Society. [pdf]
Book Chapter: Land, Water and Energy Data AssimilationToll, D., Houser, P. 2004. Land, Water and Energy Data Assimilation in Spatial Modelling of the Terrestrial Environment, John Wiley & Sons, Ltd, 245-262. [pdf]
Requirements of a Global Near-Surface Soil Moisture Satellite Mission: Accuracy, Repeat Time, and Spatial ResolutionWalker, J. P. and Houser, P. R., 2004. Requirements of a Global Near-Surface Soil Moisture Satellite Mission: Accuracy, Repeat Time, and Spatial Resolution. Advances in Water Resources, 27:785-801. doi:10.1016/j.advwatres.2004.05.006 Copyright 2004 Elsevier Science Ltd.. [pdf]
Dual State-Parameter Estimation of Hydrological Models Using Ensemble Kalman Filter AdvancesMoradkhani, H., S. Sorooshian, H. Gupta, P. Houser, 2004. Dual State-Parameter Estimation of Hydrological Models Using Ensemble Kalman Filter Advances, Journal of Advances in Water Resources, 28(2):135-147. [Listed among 25 most downloaded papers in JAWR – Fall Quarter of 2005] [pdf]
Updating a land surface model with MODIS derived snow coverRodell, M., and P. R. Houser, 2004. Updating a land surface model with MODIS derived snow cover, J. Hydromet., 5 (6), 1064-1075. [pdf]
Streamflow and Water Balance Intercomparisons of four Land-Surface Models in the North American Land Data Assimilation System ProjectLohmann, D., K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, B. A. Cosgrove, J. Sheffield, Q. Duan, L. Luo, W. Higgins, R. T. Pinker, and J. D. Tarpley (2004), Streamflow and water balance intercomparisons of four land-surface models in the North American Land Data Assimilation System project. J. Geophys. Res., 109, D07S91, doi: 10.1029/2003JD003517. [pdf]
Active Microwave Remote Sending for Soil Moisture Measurement: A Field Evaluation Using ERS-2Walker, J. P., Houser, P. R. and Willgoose, G. R., 2004. Active Microwave Remote Sending for Soil Moisture Measurement: A Field Evaluation Using ERS-2. Hydrological Processes, 18:1975-1997. doi:10.1002/hyp.1343. [pdf]
A Methodology for Snow Data Assimilation in a Land Surface ModelSun, C., Walker, J. P. and Houser, P. R., 2004. A Methodology for Snow Data Assimilation in a Land Surface Model. Journal of Geophysical Research – Atmospheres, 109, D08108, doi:10.1029/2003JD003765. Copyright 2004 American Geophysical Union. [pdf]
Book Chapter: Land Surface ProcessesHouser, P. 2003 “Land Surface Processes” in Data Assimilation for the Earth Systems, Kluwer Academic Publishers, 321-329. [pdf]
Book Chapter: Land Data Assimilation SystemsHouser, P. 2003 “Land Data Assimilation Systems” in Data Assimilation for the Earth Systems, Kluwer Academic Publishers, 345-360. [pdf]
Book Chapter: Assimilation of Land Surface DataHouser, P. 2003 “Assimilation of Land Surface Data” in Data Assimilation for the Earth Systems, Kluwer Academic Publishers, 331-343. [pdf]
Land surface model spin-up behavior in the North American Land Data Assimilation System (NLDAS)Cosgrove, B., D. Lohmann, K. E. Mitchell, P. R. Houser, E. F. Wood, J. C. Schaake, A. Robock, J. Sheffield, Q. Duan, L. Luo, R. W. Higgins, R. T. Pinker, and J. D. Tarpley, 2003. Land surface model spin-up behavior in the North American Land Data Assimilation System (NLDAS), J. Geophys. Res., 108 (D22), 8845. [pdf]
Real-time and Retrospective Forcing in the North American Land Data Assimilation System (NLDAS) ProjectCosgrove, B. A., Lohmann, D., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., Robock, A., Marshall, C., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Meng, J., 2003. Real-time and Retrospective Forcing in the North American Land Data Assimilation System (NLDAS) Project, J. Geophys. Res., 108 (D22), 8842. [pdf]
Incorporating the Land Data Assimilation System into Water Resource Management and Decision Support SystemsArsenault, K.R., P.R. Houser, and D.A. Matthews, 2003. Incorporating the Land Data Assimilation System into Water Resource Management and Decision Support Systems, EOM, 12 (2), 24-27. [pdf]
Tanget Linear Analysis of The Mosaic Land ModelYang, R., Cohn, S., da Silva, S., Joiner, J., Houser, P. 2003. Tanget Linear Analysis of The Mosaic Land, Journal of Geophysical Research, Vol., 108, No. D2, 4054. [pdf]
The common land model (CLM)Dai, Y., X. Zeng, R. E. Dickinson, I.Baker, G. Bonan, M. Bosilovich, S. Denning, P. Dirmeyer, P. Houser, G. Niu, K. Oleson, C. A. Schlosser, and Z.-L. Yang, 2003. The common land model (CLM), Bull. Amer. Meteor. Soc., 84, 1013-1023. [pdf]
Book Chapter: Existing Degrees of ConsolidationDirmeyer, P.A., R. Feddes, F.G. Hall, S. Halldin, H. Hoff, P. Houser, et al., 2003. Existing Degrees of Consolidation, Chapter C.2 in Vegetation, Water, Humans and the Climate. Global Change – The IGB Series. Kabat, P. et al. (eds). Springer,Berlin. [pdf]
New Remote Sensing Technologies Require Advances in Hydrologic Data AssimilationWalker, J. P., Houser, P. R. and Reichle, R. H., 2003. New Remote Sensing Technologies Require Advances in Hydrologic Data Assimilation. EOS, Transactions American Geophysical Union, 84(49): 545,551. Copyright 2003 American Geophysical Union. [pdf]
An Inter-Comparison of Soil Moisture Fields in theNorthAmericanLand Data Assimilation System (NLDAS)Schaake, J. C., Duan, Q., Mitchell, K. E., Houser, P. R., Wood, E. F., Robock, A., Lettenmaier, D. P., Lohmann, D., Cosgrove, B. A., Sheffield, J., Luo, L., Higgins, R. H., Pinker, R. T., Tarpley, J. D., 2003. An Inter-Comparison of Soil Moisture Fields in theNorthAmericanLand Data Assimilation System (NLDAS). J. Geophys. Res., 109. [pdf]
Evaluation of the North American Land Data Assimilation System over the Southern Great Plains during the Warm SeasonRobock, A. Luo, l. Wood, E. F., Wen, f., Mitchell, K. E., Houser, P. R. Schaake, J. C., Lohmann, D., Cosgrove, B. A., Sheffield, J., Duan, Q., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Basara, J. B., Crawford, C. 2003. Evaluation of the North American Land Data Assimilation System over the Southern Great Plains during the Warm Season. J. Geophys. Res., 108 (D22), 8846. [pdf]
Validation of the North American Land Data Assimilation System (NLDAS) Retrospective Forcing Over the Southern Great PlainsLuo, L., Robock, A., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J. C., Lohmann, D., Cosgrove, B. A., Wen, F., Sheffield, J., Duan, Q., Higgins, R. W., Pinker, R. T., Tarpley, J. D., 2003. Validation of the North American Land Data Assimilation System (NLDAS) Retrospective Forcing Over the Southern Great Plains, J. Geophys. Res., 108 (D22), 8843. [pdf]
Surface Radiation Budgets in Support of the GEWEX Continental Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), Including the North American Land Data Assimilation System (NLDAS) ProjectPinker, R. T., Tarpley, J. D., Laszlo, I., Mitchell, K. E., Houser, P. R., Wood, E. F., Schaake, J.C., Robock, A., Lohmann, D., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., 2003. Surface Radiation Budgets in Support of the GEWEX Continental Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), Including the North American Land Data Assimilation System (NLDAS) Project, J. Geophys. Res., 108 (D22), 8844, [pdf].
Snow Process Modeling in the North American Land Data Assimilation System (NLDAS), Part 1: Evaluation of Model Simulated Snow Cover ExtentSheffield, J., Pan, M., Wood, E. F., Mitchell, K. E., Houser, P. R., Schaake, J. C., Robock, A., Lohmann, D., Cosgrove, B. A., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Ramsay, B. H., 2003. Snow Process Modeling in the North American Land Data Assimilation System (NLDAS), Part 1: Evaluation of Model Simulated Snow Cover Extent, J. Geophys. Res., 108 (D22), 8849. [pdf]
Snow Process Modeling in the North American Land Data Assimilation System (NLDAS). Part II: Evaluation of Model Simulated Snow Water EquivalentPan, M., Sheffield, J., Wood, E. F., Mitchell, K. E., Houser, P. R., Schaake, J. C., Robock, A., Lohmann, D., Cosgrove, B. A., Duan, Q., Luo, L., Higgins, R. H., Pinker, R. T., Tarpley, J. D., 2003. Snow Process Modeling in the North American Land Data Assimilation System (NLDAS). Part II: Evaluation of Model Simulated Snow Water Equivalent, J. Geophys. Res., 108 (D22), 8850. [pdf]
Book Chapter: Infiltration and Soil Moisture ProcessesHouser, P., 2003. Infiltration and Soil Moisture Processes, Chapter 27 in Handbook of Weather, Climate, and Water: Atmospheric Chemistry, Hydrology, and Societal Impacts, John Wiley & Sons, Inc, 493-506. [pdf]
Catchment Monitoring for Scaling and Assimilation of Soil Moisture and StreamflowRudiger, C., Davidson, R. E., Hemakumara, M., Walker, J. P., Kalma, J. D., Willgoose, G. R. and Houser, P. R., 2003. Catchment Monitoring for Scaling and Assimilation of Soil Moisture and Streamflow, In: D. Post (Ed.), Proceedings of the International Congress on Modelling and Simulation (MODSIM). Modelling and Simulation Society of Australia and New Zealand, Inc., Townsville, Australia, 14-17 July, 2003, 1:386-391. [pdf]
Impact of Bias Correction to Reanalysis Products on Simulations of North American Soil Moisture and Hydrological FluxesBerg, A. A., Famiglietti, J. S., Walker, J. P. and Houser, P. R., 2003. Impact of Bias Correction to Reanalysis Products on Simulations of North American Soil Moisture and Hydrological Fluxes. Journal of Geophysical Research – Atmospheres, 108(D16), 4490, doi:10.1029/2002JD003334. Copyright 2003 American Geophysical Union. [pdf]
Australian Root Zone Soil Moisture: Assimilation of Remote Sensing ObservationsWalker, J. P., Ursino, N., Grayson, R. B., and Houser, P. R., 2003. Australian Root Zone Soil Moisture: Assimilation of Remote Sensing Observations, In: D. Post (Ed.), Proceedings of the International Congress on Modelling and Simulation (MODSIM). Modelling and Simulation Society of Australia and New Zealand, Inc., Townsville, Australia, 14-17 July, 2003, 1:380-385. [pdf]
Air and Water Monitoring for Homeland SecurityHouser, P., 2002. Air and Water Monitoring for Homeland Security, Earth Observation Magazine, 11(8): 33-36. [pdf]
Extended vs. Ensemble Kalman Filtering for Land Data AssimilationReichle, R. H., Walker, J. P., Koster, R. D. and Houser, P. R., 2002. Extended vs. Ensemble Kalman Filtering for Land Data Assimilation. Journal of Hydrometeorology, 3(6): 728-740. Copyright 2001 American Meteorologcal Society. [pdf]
Evaluation of the OhmMapper Instrument for Soil Moisture MeasurementWalker, J. P. and Houser, P. R., 2002. Evaluation of the OhmMapper Instrument for Soil Moisture Measurement. Soil Science Society of America Journal, 66(3): 728-734. Copyright 2002 Soil Science Society of America. [pdf]
A Methodology for Initializing Soil Moisture in a Global Climate Model: Assimilation of Near-Surface Soil Moisture ObservationsWalker, J. P. and Houser, P. R., 2001. A Methodology for Initializing Soil Moisture in a Global Climate Model: Assimilation of Near-Surface Soil Moisture Observations. Journal of Geophysical Research – Atmospheres, 106(D11): 11761-11774. Copyright 2001 American Geophysical Union. [pdf]
Multi-Objective Calibration and Sensitivity of a Distributed Land-Surface Water and Energy Balance ModelHouser, P. R., H. V. Gupta, W. J. Shuttleworth, and J. S. Famiglietti, 2001. Multi-Objective Calibration and Sensitivity of a Distributed Land-Surface Water and Energy Balance Model, J. of Geophysical Research, Vol. 106, No. D24, 33421-33433. [pdf]
Correcting eddy-covariance flux underestimates over a grasslandTwine, T.E., W.P. Kustas, J.M. Norman, D.R. Cook, P.R. Houser, T.P. Meyers, J.H. Prueger, P.J. Starks, and M.Welely. 2000. Correcting eddy-covariance flux underestimates over a grassland, Agric. For. Meteorol. 103 (2000):279-300. [pdf]
River basin hydrology in a global off‐line land‐surface modelM. Bosilovich, R. Yang, and P. Houser, 1999: River basin hydrology in a global off‐line land‐surface model. J. Geophys. Res., 104, D16, doi:10.1029/1999JD900346, 1999 [pdf]
Book Chapter: Case Study: Runoff, Precipitation, and Soil Moisture at Walnut GulchHouser, P. R., D. C. Goodrich, and K. H. Syed, 1999. Case Study: Runoff, Precipitation, and Soil Moisture at Walnut Gulch., in Spatial Patterns in Catchment Hydrology: Observations and Modeling, edited by R. Grayson and G. Bloschl. [pdf]
Remote Sensing May Provide Unprecedented Hydrological DataKoster, R. D., P. R. Houser, E. T. Engman, and W. P. Kustas, 1999. Remote Sensing May Provide Unprecedented Hydrological Data. EOS, Transactions American Geophysical Union. VOL. 80, NO. 14, PAGE 156, 1999 doi:10.1029/99EO00112. [pdf]
Ground-based investigation of soil moisture variability within remote sensing footprints during the Southern Great Plains 1997 (SGP97) Hydrology ExperimentFamiglietti, J. S., J. A. Devereaux, C. A. Laymon, T. Tsegaye, P. R. Houser, T. J. Jackson, S. T. Grahm, M. Rodell, and P. J. van Oevelen, 1999. Ground-based investigation of soil moisture variability within remote sensing footprints during the Southern Great Plains 1997 (SGP97) Hydrology Experiment, Water Resources Research, 35(6):1839-1851. [pdf]
Surface Hydrology in Global River Basins in the Off-line Land-surface GEOS Assimilation System (OLGA)Bosilovich, M. G., R. Yang, and P. Houser, 1999. Surface Hydrology in Global River Basins in the Off-line Land-surface GEOS Assimilation System (OLGA), GCIP II special issue of the J. Geophysical Research, col. 104, no. d16, pp. 19,661-19,673, 1999 doi:10.1029/1999JD900346. [pdf]
Integration of Soil Moisture Remote Sensing and Hydrologic Modeling using Data AssimilationHouser, P. R., W. J. Shuttleworth, H. V. Gupta, J. S. Famiglietti, K. H. Syed, and D. C. Goodrich, 1998. Integration of Soil Moisture Remote Sensing and Hydrologic Modeling using Data Assimilation, Water Resources Research, 34(12):3405-3420. [pdf]
Evaporation from a Riparian System in a Semi-arid EnvironmentUnland H., A. Arain, C. Harlow, P. Houser, H. Garatuza, R. Scott, O. Sen, and W. Shuttleworth, 1997. Evaporation from a Riparian System in a Semi-arid Environment, Hydrol. Process., 12(1998):527-542. [pdf]
The aggregate description of semi-arid vegetation with precipitation-generated soil moisture heterogeneityWhite, C. B., P. R. Houser, A. M. Arain, Z. L. Yang, K. Syed, and W. J. Shuttleworth, 1997. The aggregate description of semi-arid vegetation with precipitation-generated soil moisture heterogeneity, Hydrology and Earth Systems Sciences, 1, 205-212. [pdf]
Remote Sensing Soil Moisture using Four Dimensional Data AssimilationHouser, Paul R., 1996: Remote Sensing Soil Moisture using Four Dimensional Data Assimilation. Doctoral Dissertation, University of Arizona. [pdf] [abstract]
Remote Sensing Soil Moisture Using Four Dimensional Data AssimilationHouser, Paul R., [director - W. J. Shuttleworth], 1996: Remote Sensing using Four Dimensional Data Assimilation. Doctoral Dissertation, University of Arizona. [pdf]
Surface flux measurement and modeling at a semi-arid Sonoran Desert siteUnland, H. E., P. R. Houser, W. J. Shuttleworth, and Z. L. Yang, 1996. Surface flux measurement and modeling at a semi-arid Sonoran Desert site, Agricultural and Forest Meteorology, 82:119-153. [pdf]
- North American Water Program (NAWP)Solutions for North America’s freshwater sustainability challenges September 2012 I am currently helping to develop the North American Water Program (NAWP), that will establish the scientific basis, observation, modeling and decision approaches needed to manage water security and sustainability through climate, population ... ∞Critique of the DOI Scientific Integrity PolicyCritique of the DOI Scientific Integrity Policy (305 DM 3, 1/28/11) August 8, 2012 Dr. Paul R. Houser Introduction:I served as a member of the Department of Interior (DOI) and the Bureau of Reclamation (BOR) Scientific Integrity Policy writing team which assembled thisPolicy. ... ∞Surface Hydrology in Global River Basins in the Off-Line Land-Surface GEOS Assimilation (OLGA) System (1998)Bosilovich, Michael G.; Yang, Runhua; Houser, Paul R, nasa_techdoc_19990014052, E-11424; NAS 1.15:208819; NASA/TM-1998-208819. [pdf] ∞
- North American Water Program (NAWP)Solutions for North America’s freshwater sustainability challenges September 2012 I am currently helping to develop the North American Water Program (NAWP), that will establish the scientific basis, observation, modeling and decision approaches needed to manage water security and sustainability through climate, population ... ∞Klamath in the Balance: Klamath Whistle Blower Dr. Paul HouserThis movie is part of the collection: Access Humboldt ∞Dr. Paul Houser speaking on Klamath Dam Removal Part 1 – YouTubeDr. Paul Houser speaking on Klamath Dam Removal Part 1 - YouTube Dr.Paul Houser, Ph.D Hydrometeorology Univ of Arizona. He is currently teaching at George ... www.youtube.com/watch?v=U8dw8yYjD1o ∞Reclamation’s key water infrastructurePrepared for National Science and Technology Council (NSTC) Monthly Committee Meeting on Homeland and National Security, Washingtom DC, February 14, 2012. [ppt] [pdf]. ∞Western U.S.: Observed Hydrology & Vegetation ChangesPresentation to Interagency Working Group [ppt][pdf] ∞Reclamation’s Role in Managing Western Water in Evolving Climate ConditionsPresetation to the Department of the Interior, International Affairs Working Group [ppt][pdf] ∞Science at ReclamationPresentation for Alex Hettinger, Office of Management and Budget (OMB), Washington DC, November 1, 2011. [ppt][pdf] "One of the best presentations I have ever seen at Reclamation", Dan Dubray, Press Secretary ∞Reclamation’s Role in Managing Western Water in Evolving Climate ConditionsINVITED Presentation at the Council of State Governments National Conference, Seattle WA, October 21, 2011 [ppt][pdf] ∞Scientific IntegrityPresentation at Reclamation's quarterly stakeholder's meeting, Washington D.C., October 6, 2011. [ppt][pdf] ∞Climate Change AdaptationPresentation at Reclamation's Managers Conference, Las Vegas, September 7, 2011. [ppt][pdf] ∞Reclamation Climate Change ActivitiesPresentation for International Visitors, Washington DC., August 2011 [ppt][pdf]. ∞Draft Reclamation Scientific Integrity PolicyBriefing for Reclamation Leadership Team, Denver, CO, June 21, 2011 [ppt][pdf] ∞Collaborative Science, Services and Tools to Support Integrated and Adaptive Water Resources ManagementBriefing for Reclamation Leadership Team, Denver, CO, June 21, 2011. [ppt][pdf] ∞A Vision for an Ultra-High Resolution Integrated Water Cycle Observation and Prediction SystemUniversity of Oklahoma College of Engineering - WaTER Center Speaker Series, INVITED, 25 February, 2011. [presentation] ∞A comparative study of model initialization for spinning up the Noah land surface model using LISShrestha, R.*, and P.R. Houser,; A comparative study of model initialization for spinning up the Noah land surface model using LIS, 24th Conference on Hydrology, 90thAMS Annual Meeting, Georgia World Congress Center, Atlanta, Georgia, January 17-21, 2010. ∞Precipitation uncertainty: How well do we know this critical hydrological variable?P.R. Houser*, X. Feng, R. Shrestha, and T. Yilmaz; Precipitation uncertainty: How well do we know this critical hydrological variable? EGU2009-13903 ∞Land surface modeling using optimally merged precipitation data from multiple sourcesP.R. Houser, T. Yilmaz, R. Shrestha, and V. Anantharaj; Land surface modeling using optimally merged precipitation data from multiple sources, EGU2009-13899 ∞Distributed hydrological modeling using LIS-Noah land surface modelShrestha, R., P.R. Houser; Distributed hydrological modeling using LIS-Noah land surface model, AGU Fall Meeting, Moscone Center, San Francisco, California, December 15-19, 2008. ∞Land surface modeling using optimally merged Precipitation data from multiple sourcesM.T. Yilmaz*, R. Shrestha, P.R. Houser, V. Anantharaj; Land surface modeling using optimally merged Precipitation data from multiple sources, AGU Fall Meeting, Moscone Center, San Francisco, California, December 15-19, 2008 ∞Land surface model uncertainty due to forcing heterogeneity,Shrestha, R., P.R. Houser, and M. Bosilovich; Land surface model uncertainty due to forcing heterogeneity, AGU 2008 Joint Assembly, Fort Lauderdale, Florida, May 27-30, 2008. Eos Trans. AGU, 89(23), Jt. Assem. Suppl. ∞Effect of land cover classification map resolution in land surface modeling studiesYilmaz, M.T., P.R. Houser, R. Shrestha; Effect of land cover classification map resolution in land surface modeling studies, AGU Fall Meeting, Moscone Center, San Francisco, California, December 10-14, 2007. Eos Trans. AGU, 88 (52), Fall Meet. Suppl. ∞LIS-Noah land surface model validation in the Southern Great Plains (SGP)Shrestha, R., P.R. Houser, M. Bosilovich, and D. Mocko; LIS-Noah land surface model validation in the Southern Great Plains (SGP), AGU Fall Meeting, Moscone Center, San Francisco, California, December 10-14, 2007. Eos Trans. AGU, 88(52), Fall Meet. Suppl. ∞Anomalies due to heterogeneity of forcing and parameters in Land Surface ModelsShrestha, R., P.R. Houser, and M. Bosilovich; Anomalies due to heterogeneity of forcing and parameters in Land Surface Models, NASA MAP Program Science Team Meeting, University of Maryland Inn and Conference Center, College Park, Maryland, March 7-9, 2007. ∞The HYDROS Mission: Requirements and Baseline System DesignNjoku, Eni; Spencer, Michael; McDonald, Kyle; Smith, Joel; Houser, Paul; Doiron, Terence; O'Neill, Peggy; Girard, Ralph; Entekhabi, Dara, 2003: The HYDROS Mission: Requirements and Baseline System Design. NASA Technical Report 20070030851. IEEE Aerospace Conference; 6-13 Mar. 2004; Big Sky, MT; United ... ∞
