PPT-SMAP

Applications Plan Molly Brown SMAP Applications Coordinator Susan Moran Chair SMAP Applications Working Group Vanessa Escobar SMAP Support Scientist This plan provides an implementation strategy for promoting applications research and engaging a broad community of users in SMAP applications. 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 . sMAP. + . StreamFS. + Apps. Jorge Ortiz and Jeff Hsu. Climate application-- controls local temperature by applying model to data stream and . sMAP. actuation. Mobile inventory and power-visibility application. for Pennsylvania. *. Mid-week Nor’easter *. Prepared by National Weather Service. State College, PA. 11/06/2012 . – . 1:30 . pm. (peter.jung@noaa.gov). Storm Overview. A . Nor’easter . will move up the Mid-Atlantic Coast . Ed . Benowitz. SMAP FSW Developer. NASA/Jet . Propulsion Laboratory. Caltech. Copyright 2013 California Institute of Technology. Government sponsorship acknowledged.. Introduction. SMAP Mission Overview. Doreen Neil. July 12, 2016. The . Early . Adopter (EA) . programs. promote . applications research . to . provide a fundamental understanding . of. . how to bring . Mission data . products . into organizations. Rajat Bindlish. 1. , Thomas Jackson. 1. , Tianjie Zhao. 1. , Michael Cosh. 1. , Steven Chan. 2. , Peggy O'Neill. 3. , Eni Njoku. 2. , Andreas Colliander. 2. , Yann H. Kerr. 4. , Jiancheng Shi. 5. 1. USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD. 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 . 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 . 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, . Sponsored by the NASA Climate Indicators and Data Products for Future Climate Assessment Program. Kenneth Tobin (TAMIU). Wade Crow . and Jianzhi Dong (USDA ARS). William Teng (NASA GSFC/ADNET Systems Inc.. Dynamics with . S. atellite-Driven Deep Learning. Problem. : Satellite microwave radiometers can detect freeze/thaw (FT) related controls on soil respiration and greenhouse gas (GHG) emissions. Low frequency (L-band) sensors have enhanced soil sensitivity, but prevailing FT products don’t distinguish soil from other landscape features, leading to uncertainty about how climate change is affecting the frozen soil season and GHG emissions.. Scientific Co-lead: J. Boutin (LOCEAN),N. Reul (IFREMER). Climate Research Group: D. Stammer and J. Khoeler (UHAM) . Project Manager: Rafael Catany (ARGANS). CCI CMUG Integration Meeting. Exeter 2018. Fournier S.. , Bingham F.M., Gonzalez-. Haro. C., Hayashi A., Carlin K.M.U., . Brodnitz. S.K., Gonzalez-. Gambau. V., and . Kuusela. M., 2023. Quantification of Aquarius, SMAP, SMOS and Argo-Based Gridded Sea Surface Salinity Product Sampling Errors. Remote Sensing. https://. . Thomas Meissner. 1. , Lucrezia Ricciardulli. 1. , Frank Wentz. 1. , . Andrew Manaster. 1. , Charles Sampson. 2. 1. Remote Sensing Systems, Santa Rosa, CA, USA. 2. NRL, Monterey, CA, USA. IOVWST Meeting, April 24 – 26, 2018.