- Streamflow Data Assimilation for Soil Moisture Prediction
- In situ measurement of soil moisture: a comparison of techniques
- Profile Soil Moisture Estimation Using the Modified IEM Jeffrey P. Walker1
- Effect of Spatial Scale on Soil Moisture Retrieval From Passive Microwave Sensors
- RIPARIAN ECOSYSTEMS AND BUFFERS: MULTI-SCALE STRUCTURE, FUNCTION, AND MANAGEMENT AWRA SUMMER SPECIALTY CONFERENCE
- Eye in the sky checks soil moisture across Kyeamba Valley Privacy | Legal | Report a problem
- Chapter 2 Literature Review: Soil Moisture Measurement Page 2-1 CCHHAAPPTTEERR TTWWOO
- Appendix B Nerrigundah Catchment Experimental Data Page B-1 AAPPPPEENNDDIIXX BB
- UNCORRECTEDPROOF 2 Requirements of a global near-surface soil moisture satellite
- Robert Pipunic, Jeffrey P. Walker, Andrew W. Western, and Cressida Sa-vige (2004), Assimilation of latent and sensible heat flux data into a
- Document prepared for: The European Space Agency (ESA)
- Chapter 10 Field Application: 1D Soil Moisture Profile Estimation Page 10-1 CCHHAAPPTTEERR TTEENN
- GRACE Gravity Fields as a New Measure for Assessing Large-Scale Hydrological Models
- ARTICLE IN PRESS 2 Factors affecting remotely sensed snow water equivalent uncertainty
- The National Airborne Field Experiment Data Sets Walker J.P. 1
- Obtaining surface energy fluxes from remotely sensed data
- This paper explores the accuracy of Digital Elevation Models (DEMs), with particular reference to Australian published
- Indices for Assessing the Spatial Distribution and Functions of Riparian Buffer Zones.
- Appendix E Particle Size Analysis for Nerrigundah Catchment Page E-1 AAPPPPEENNDDIIXX EE
- A Catchment-Based Global River Routing Scheme for Climate Models and Assimilation of Streamflow and Altimetry Data
- Remote Sensing 2010, 2, 166-190; doi:10.3390/rs2010166 Remote Sensing
- Assimilation of Satellite Observations Coastal Biogeochemical Models
- Quantitative methods for hydrological spatial field
- Using Tolerances When Assessing Models Using Spatial S.R. Wealands 1, 2
- National Aeronautics and Space Administration
- Chapter 6 -Synthetic Study: 1D Soil Moisture Profile Estimation Page 6-1 CCHHAAPPTTEERR SSIIXX
- Investigating Spatial Pattern Comparison Methods for Distributed Hydrological Model Assessment
- Eos,Vol. 84, No. 49, 9 December 2003 Extensive amounts of hydrologically relevant
- National Airborne Field Experiment 2005 31 Oct 25 Nov 2005
- CONTROLS ON PATTERNS OF SOIL MOISTURE IN ARID AND SEMI-ARID SYSTEMS
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- 630 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 4, OCTOBER 2009 Parameterization of the Land Parameter Retrieval
- IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 4, OCTOBER 2009 635 Assessing the SMOS Soil Moisture Retrieval
- IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 4, OCTOBER 2009 649 Using Passive Microwave Response to Soil Moisture
- A sequential model for disaggregating near-surface soil moisture observations using multi-resolution thermal sensors
- This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research
- UNCORRECTEDPROOF 1 Evaluation of the SMOS L-
- UNCORRECTEDPROOF 1 An evaluation of AMSR
- Sunglint observations over land from ground and airborne L-band radiometer data
- UNCORRECTEDPROOF 2 Ensemble member generation for sequential data assimilation
- Goulburn River experimental catchment data set Christoph Rudiger,1,2
- A methodology for snow data assimilation in a land surface model Chaojiao Sun1
- Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes
- 3 ARTICLE IN PRESS4 12345678910111213142027343536
- Three-dimensional soil moisture profile retrieval by assimilation of near-surface measurements: Simplified Kalman filter covariance
- 356 VOLUME 2J O U R N A L O F H Y D R O M E T E O R O L O G Y 2001 American Meteorological Society
- Remote sensing of rivers: A potential contribution to the
- eWater Technical Report Improving stream flow forecasting
- National Airborne Field Experiment 2006 29 Oct 20 Nov 2006
- Soil Moisture Monitoring in the Goulburn River Catchment A collaborative research project between the University of Melbourne and the
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- Effect of One-Dimensional Field Data Assimilation on Land Surface Model Flux Estimates with Implications
- A method to identify likely sites for denitrification in semi-arid floodplain rivers Leo Lymburner, Senior Research Officer, Australian Centre for Tropical Freshwater
- National Airborne Field Experiments for Prediction in Ungauged Basins
- Root Zone Soil Moisture Retrieval Using Streamflow and Surface Moisture Data Assimilation in Nested Catchments
- RIPARIAN ECOSYSTEMS AND BUFFERS: MULTI-SCALE STRUCTURE, FUNCTION, AND MANAGEMENT AWRA SUMMER SPECIALTY CONFERENCE
- Recent Advances in Profile Soil Moisture Retrieval Jeffrey P. Walker, Garry R. Willgoose and Jetse D. Kalma
- HIGH RESOLUTION AIRBORNE SOIL MOISTURE MAPPING Jeffrey Walker1
- An evaluation of remotely sensed soil moisture over Draper, C. S.1,2
- Measurement Accuracy Versus Observation Scale In A MultiResolution Data Assimilation Framework
- A Stochastic Filter for Asymmetrically Distributed Vadim Kuzmin, Jeffrey Walker
- Exploitation of the NAFE'05 campaign for cal/val activities of the SMOS mission
- An evaluation of remotely sensed soil moisture over Draper, C. S.1,2
- Using Airborne Sensing to Map Pools in Rivers
- A.B. Smith, J.P. Walker, and A.W. Western (2004), Assimilation of grav-ity data into a soil moisture and groundwater column model, in Pro-
- Kevin M. Ellett, Jeffrey P. Walker, Andrew W. Western, Rodger B. Grayson, and Matt Rodell (2004), Assimilation of GRACE-type observations to
- Barry Jacobs, Jetse Kalma, Greg Hancock, Manju Hemakumara, Jeffrey Walker, and Garry Willgoose (2004), Towards understanding the spa-
- Mapping random and systematic errors of satellite-derived snow water equivalent observations in Eurasia
- Influence of surface heterogeneity on L-band (1.4 GHz) measurements at various spatial resolutions; some preliminary
- News Search: Any Publication
- Dedicated SMOS campaign activities down under 5 October 2005
- The University of Melbourne Media Release
- Chapter 5 Synthetic Study: Soil Moisture Model PROXSIM Page 5-1 CCHHAAPPTTEERR FFIIVVEE
- Chapter 11 Field Application: 3D Soil Moisture Profile Estimation Page 11-1 CCHHAAPPTTEERR EELLEEVVEENN
- Chapter 7 Model Development: Soil Moisture Model ABDOMEN Page 7-1 CCHHAAPPTTEERR SSEEVVEENN
- Chapter 4 Near-Surface Soil Moisture Profile Measurement Page 4-1 CCHHAAPPTTEERR FFOOUURR
- Chapter 9 The Nerrigundah Experimental Catchment Page 9-1 CCHHAAPPTTEERR NNIINNEE
- Appendix A -State Augmentation of PROXSIM1D Page A-1 AAPPPPEENNDDIIXX AA
- Appendix F Results From 3D Soil Moisture Profile Estimation Page F-1 AAPPPPEENNDDIIXX FF
- Hydrologic Data Assimilation Jeffrey P. Walker 1
- Chapter 8 Model Development: Simplified Covariance Estimation Page 8-1 CCHHAAPPTTEERR EEIIGGHHTT
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- Section 4 Report on performance 43 Australian Research Council Annual Report 200708
- Assimilation of Remotely Sensed Snow Observations into the NSIPP Land Surface Model
- Comparing spatial model simulations against spatial observations is useful throughout the modelling process (e.g. calibration, validation). Most similarity
- UNCORRECTEDPROOF 2 Assimilation of remotely sensed data for improved latent and sensible heat
- Multiresolution soil moisture retrieval from passive microwave sensors: A preliminary study
- 640 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 4, OCTOBER 2009 An Assessment of QuikSCAT Ku-Band
- Land Surface Model Data Assimilation for Atmospheric Prediction
- CHARACTERISING THE SPECRTAL SIGNAL OF DISCHARGE ZONES AT THE MARGIN OF THE GREAT ARTESIAN BASIN.
- Stephen R. Wealands, Rodger B. Grayson, Jeffrey P. Walker, and Gnter Blschl (2004), Quantitative measures for the local similarity of hydro-
- UNCORRECTEDPROOF 2 Quantitative comparison of spatial fields for hydrological
- Towards deterministic downscaling of SMOS soil moisture using MODIS derived soil evaporative efficiency
- Identifying and Mapping Systematic Errors in Passive Microwave Snow Water Equivalent Observations 1James Foster, 2,3Chaojiao Sun, 4Jeffrey P Walker, 1,3Richard Kelly, 1,3Jairui Dong, and 1Alfred Chang
- Home Specials Environment Article The word from on high: we're drying up fast
- An EKF assimilation of AMSR-E soil moisture into the ISBA land surface scheme
- Chapter 12 Conclusions and Future Direction Page 12-1 CCHHAAPPTTEERR TTWWEELLVVEE
- VALIDATION OF THE SMOS LEVEL 2 RETRIEVAL ALGORITHM OVER CROPS AND PRAIRIES FROM THE COSMOS-NAFE CAMPAIGN
- Recently promoted Associate Pro-fessor Jeffrey Walker has estab-
- HIGH RESOLUTION AIRBORNE SOIL MOISTURE MAPPING Jeffrey Walker1
- eWater Technical Report Australian Government Bureau of
- On the effect of digital elevation model accuracy on hydrology and geomorphology
- References Page Refs-1 RREEFFEERREENNCCEESS
- Soil Moisture Measurement in Heterogeneous Terrain Merlin, O.1
- BACKPROPAGATION NEURAL NETWORK FOR SOIL MOISTURE RETRIEVAL USING NAFE'05 DATA : A COMPARISON OF DIFFERENT TRAINING ALGORITHMS
- Mapping Riparian Vegetation Functions Using Remote Sensing and Terrain Analysis
- Chai, S.S., Veenendaal,B., West G. and J.P. Walker (2009). Input Parameter Selection for Soil Moisture Retrieval Using an Artificial Neural Network. In: Ostendorf, B., Baldock, P., Bruce, D., Burdett, M. and P. Corcoran (eds.),
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 The NAFE'05/CoSMOS Data Set
- Assimilation of sea-surface temperature into a hydrodynamic model of Port Phillip Bay, Australia
- Hydrologic Model Assessment from Automated Spatial Pattern Comparison Techniques
- IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 5, NO. 4, OCTOBER 2008 783 Comparison of Microwave and Infrared Land
- OneDimensional Field Data Assimilation into a Land Surface Model for Improved Heat Flux Estimates
- A methodology for initializing soil moisture in a global climate model: Assimilation of near-surface
- KU-BAND SENSITIVITY TO SOIL MOISTURE. AN EVALUATION STUDY FOR MONITORING TEMPORAL SOIL MOISTURE CHANGE DETECTION OVER THE NAFE06
- Manju Hemakumara, Jetse Kalma, Jeffrey Walker, and Garry Willgoose (2004), Downscaling of low resolution passive microwave soil moisture
- Effect of Land Surface Heterogeneity on Satellite Near-
- Chapter 3 Literature Review: Soil Moisture Estimation Page 1 CCHHAAPPTTEERR TTHHRREEEE
- Appendix D Roughness Measurements for Nerrigundah Catchment Page D-1 AAPPPPEENNDDIIXX DD
- UNCORRECTED 2 The NAFE'06 data set: Towards soil moisture retrieval
- Remotely Sensed Soil Moisture over Australia from Draper, C. S.1,2
- ESTIMATING SOIL MOISTURE PROFILE DYNAMICS FROM
- The CoSMOS L-band experiment in Southeast K. Saleh (1), Kerr Y.H. (2), Boulet G. (2), Maisongrande P. (2), de Rosnay P. (2), Floricioiu D. (2), Escorihuela M.J. (2),
- W. Ni-Meister, J.P. Walker, P.R. Houser, and R.H. Reichle (2004), Soil moisture initialization for climate prediction: Assimilating SMMR into
- MoistureMap: A soil moisture monitoring, prediction and reporting system for sustainable land and water management
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 39, NO. 8, AUGUST 2001 1643 A Methodology for Surface Soil Moisture and
- COMPARISON OF AMSRE AND MSMMN SOIL MOISTURE For each location shown in figure 2, the soil moisture timeseries for 2005 from the colocated AMSRE
- The Nerrigundah data set: Soil moisture patterns, soil characteristics, and hydrological flux measurements
- Improving the Airborne Remote Sensing of Soil Moisture: Estimating Soil Effective Temperature
- Appendix C Near-Surface Soil Moisture Maps Page C-1 AAPPPPEENNDDIIXX CC
- World IMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009 http://mssanz.org.au/modsim09
- The Effect of Irrigation Schedules on Water Table Depth and Root Zone Soil Moisture
- ARTICLE IN PRESS 2 Quantifying the uncertainty in passive microwave snow water
- UNCORRECTEDPROOF One-dimensional soil moisture prole retrieval by assimilation of
- Chapter 1 Introduction Page 1-1 CCHHAAPPTTEERR OONNEE
- IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 6, NO. 4, OCTOBER 2009 625 Improved Understanding of Soil Surface Roughness
