New Search

Item 1566 of 1568 (back to results)
Previous previous next Next
Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems
Journal of hydrology

Current search:

Natural Resources, Earth and Environmental Sciences: natural resource management
×
Research, Technology and Engineering: engineering
×

Select any link to see items in a related category.

more general categories    information about this item
Calendar Year 
Calendar Year
 Year (337475) 
 2009 (40843)
Natural Resources, Earth and Environmental Sciences 
Natural Resources, Earth and Environmental Sciences
 geology (23343) 
 hydrogeology (3273) 
 groundwater recharge (453)
 hydrology (18092) 
 hydrologic models (1932)
 hydrogeology (3273) 
 groundwater recharge (453)
 water flow (2890) 
 groundwater flow (835)
 natural resource management (11559) 
 water management (3752) 
 hydraulic structures (905) 
 wells (747)
Physical and Chemical Sciences 
Physical and Chemical Sciences
 physics (54990) 
 space and time (9709) 
 temporal variation (6965)
Reference Types 
Reference Types
 Journal (337546)
Research, Technology and Engineering 
Research, Technology and Engineering
 mathematics and statistics (33406)
 engineering (9759) 
 manmade structures (4337) 
 hydraulic structures (905) 
 wells (747)
 materials science (14620) 
 material forms (6970) 
 solutes (695)
 support systems and models (27487) 
 models (27236) 
 environmental models (3108) 
 hydrologic models (1932)
Abstract of Article  Will be presented in next release
Date Last Accessed  Accessed January 20, 2015
Title of Article  Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems
Author(s) of Article  Will be identified in next release
Citation  Journal of hydrology 2009 v.365 no.3-4 pp. 261-274
Click to View  (Click to View)
Date of Publication  2009
Location of Article  http://pubag.nal.usda.gov/pubag/article.xhtml?id=747161
Name of Publication  Journal of hydrology
Publishing Company  Will be identified in next release
Accession Number  286389