PPT-EVALUATION OF SMAP LEVEL 2 SOIL MOISTURE ALGORITHMS USING SMOS DATA

Rajat Bindlish 1 Thomas Jackson 1 Tianjie Zhao 1 Michael Cosh 1 Steven Chan 2 Peggy ONeill 3 Eni Njoku 2 Andreas Colliander 2 Yann H Kerr 4 Jiancheng Shi 5 1 USDA ARS Hydrology and Remote Sensing Lab Beltsville MD. 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. 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). Superheroes don’t take sick leave:. Presenteeism. in the New Zealand senior medical workforce; a mixed-method study. Principal Analyst - Policy and Research, ASMS. Acknowledgements . Members of the ASMS who participated. Soil . Moisture Active Passive (SMAP) Mission. SMAP-GPM Joint Mission . Teacher Workshop. GSFC Visitor’s Center. June 26, 2013. Peggy O’Neill, NASA GSFC. SMAP Deputy Project Scientist. Water is Vital for Life. . is a program of St. Margaret of Scotland Parish School that mobilizes the . vibrant resources . of school and Shaw neighborhood communities’ to fill a need. This . parent-led, volunteer/faculty collaboration increases art exposure for K – 8th . Salinity. E. P. Dinnat. 1,2. , D. M. Le Vine. 1. , J. Boutin. 3. , X. Yin. 3. , . 1. Cryospheric Sciences Lab., NASA GSFC, Greenbelt, MD, U.S.A. 2. Chapman University, Orange, CA, U.S.A.. 3. LOCEAN, Paris, France. Lucrezia Ricciardulli, Thomas Meissner and Frank Wentz. Remote Sensing Systems, Santa Rosa, CA, USA. IOVWST Meeting, April 2018 . Barcelona, Spain. Acknowledgements: This work is supported by the NASA OVWST and SMAP Science. 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, . Feldman, . Gianotti. , Konings, McColl, Akbar, . Salvucci. and . Entekhabi. , 2018. . Nature Plants. . https://doi.org/10.1038/s41477-018-0304-9. Background: . In deserts, plants have been shown to display ‘pulse-reserve behavior’ whereby rapid vegetation growth occurs immediately after a pulse of resources, such as a rain event. . Tagele. . Mossie. Aschale. 1. ,. . David J. Peres. 1 . , . Nunziarita. Palazzolo. 1. , Guido Scuito. 2. , Antonino Cancelliere. 1. University of Catania, Department of Civil Engineering and Architecture, Catania, Italy (tagele.aschale@phd.unict.it) . 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://.