PPT-H SAF Soil Moisture Data Services

Wolfgang Wagner Department of Geodesy and Geoinformation GEO Vienna University of Technology TU Wien httpwwwgeotuwienacat Active and Passive Microwave Remote Sensing Passive microwave sensors record . Special deadlines apply See promo pieces for details JANUARY SAF Close November 6 Ad Close November 18 Newsstand December 19 Top Doctors Travel Best Destination Spas Professional Pro64257les Chicagoland Dental Pro64257les Excellence in Hospitals Wed R. Bindlish, T. Jackson, M. Cosh. November 2014. Overview. Soil moisture algorithm. Soil moisture product. Validation. Linkage between Soil Moisture and SSS. Aquarius Soil Moisture Algorithm. The baseline soil moisture algorithm uses the . Wade T. Crow. USDA Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA . John D. Bolten. NASA Goddard Space Flight Center, Greenbelt, MD, USA . Research funded by a grant from the NASA Applied Sciences Program (W.T. Crow PI, Bradley Doorn, program manager). Fall 2015. Core Questions. Primary production is controlled by time-varying soil moisture. Stochastic rainfall inputs. Soil physical properties control storage and “overflow”. Moisture-dependent ET loss. Is a . Criteria Needed . for ASHRAE 160?. Jay . Crandell. , PE. Current ASHRAE 160 Provisions. 4.1 – Initial moisture content = EMC80 (equilibrium Moisture content at 80%RH). Pass/Fail . Criteria:. Engr. . Mamoon. . Kareem. Department of Civil Engineering. Swedish College. Of Engg & Tech Wah Cantt.. Lecture . # 3,4. Chapter # 1. Introduction to Soil . Mechanics. . (Part 2). Introduction to . Merge . Precipitation Products for . Land . Surface Modeling. Abheera. . Hazra. Department of Civil, Infrastructure and Environmental Engineering. Viviana Maggioni. Department of Civil. , . Environmental . Mississippi State University. Geosystems. Research Institute. NASA RPC Review (3/2/09). Aquarius Evaluation Team & Collaborators. MSU Team. Robert Moorhead. Xingang. Fan. Valentine . Anantharaj. John Bolten. NASA Goddard Space Flight Center . Thanks:. . Xiwu Zhan . (NOAA NESDIS), . Curt Reynolds . (USDA FAS), . Christa Peters-Lidard . (NASA GSFC), . John . Eylander. . (AFWA) and . Sujay Kumar . Long Term Pavement Performance Computed Parameter Moisture ContentO FHW-HRT-08-035 2008The ability to accurately monitor subsurface soil parameters on a continuous basis is extremely beneficial in pav Jacopo . Dari. . (1). , Pere Quintana-. Seguí. . (2). , Maria José . Escorihuela. . (3). , Luca Brocca . (4). , Renato Morbidelli . (1. ). , and Vivien Stefan . (3). (1) . University. . of Perugia, . Rolf Reichle. 1. , Gabrielle DeLannoy. 1,2. , and . Wade Crow. 3. 1. NASA Goddard Space Flight Center Global Model and Assimilation Office. 2 . University of Louvain, Louvain, Belgium. 3. USDA ARS Hydrology and Remote Sensing Lab. Downscaling methods:. LOCA. (Pierce et al., 2014):. Retains GCM-projected precipitation changes as a ratio. Preserves observed number of dry days in historical period. Preserves mean changes. Bias corrects for low-frequency variability. Richard . coffman. , . phd. , . pe. , . pls. , PROFESSOR. Michelle . barry. , . phd. , . pe. , associate professor. Mateo . lopez. , . ei. , graduate student. Contents. Soil Density and Soil Unit Weight .