H120
Science and Applications Results from SMAP and SMOS Missions

Session ID#: 85502

Session Description:
NASA and ESA have launched microwave (L-band) satellites for estimating the soil moisture and ocean surface salinity variables to study the land and ocean surfaces. These observations from Soil Moisture and Ocean Salinity (SMOS), and Soil Moisture Active-Passive (SMAP) missions have been used in diverse scientific investigations, leading to significant new process understanding in water, energy and carbon cycle research, terrestrial ecology, cryosphere and ocean science. These satellite missions have shown the utility of L-band microwave observations for estimating many other Earth science variables beyond soil moisture and ocean surface salinity. These additional observations have contributed to the study of vegetation, sea ice thickness, ocean surface winds, ice sheet, and snow. Science results from L-band observations cut across different Earth science disciplines (Hydrology, Ocean Science, Cryosphere, and Biogeosciences). This session highlights the use of L-band microwave observations from SMAP, SMOS and Aquarius missions.
Index Terms:

1843 Land/atmosphere interactions [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]
4262 Ocean observing systems [OCEANOGRAPHY: GENERAL]

Primary Convener:  Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States
Conveners:  Rajat Bindlish, Goddard Earth Sciences Technology and Research, Greenbelt, MD, United States, Peggy E O'Neill, NASA Goddard SFC, Greenbelt, MD, United States and Simon H Yueh, JPL, Pasadena, CA, United States
Primary Liaison:  Rajat Bindlish, Goddard Earth Sciences Technology and Research, Greenbelt, MD, United States
 
Comparing Global Passive Microwave Freeze/Thaw Records: Investigating Differences between Ka- and L-Band Products (487541)
Jeremy M Johnston1, Viviana Maggioni2 and Paul Houser1, (1)George Mason University Fairfax, Fairfax, VA, United States, (2)George Mason University Fairfax, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States
 
Towards hyper‐resolution land‐surface modeling enabled by SMAP observations (489601)
Tasnuva Rouf1, Yiwen Mei1, Viviana Maggioni1 and Paul Houser2, (1)George Mason University Fairfax, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States, (2)George Mason University Fairfax, Fairfax, VA, United States
 
Estimation of Surface Water Flux from SMAP/SMOS Soil Moisture Retrievals (493122)
Morteza Sadeghi, University of Minnesota, Civil, Environmental and Geo-Engineering, Minneapolis, MN, United States, Ardeshir M Ebtehaj, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States, Wade T Crow, USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD, United States, Scott B Jones, Utah State Univ, Logan, UT, United States and Markus Tuller, The University of Arizona, Tucson, AZ, United States
 
Global assimilation of L-band brightness temperature observations from SMAP and SMOS into the Catchment land surface model and contribution to the skill of soil moisture estimates (493394)
Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Qing Liu, GMAO, building 33, Greenbelt, MD, United States, Joseph V Ardizzone, NASA GSFC, Greenbelt, MD, United States, Wade T Crow, USDA ARS Hydrology and Remote Sensing Lab, Beltsville, MD, United States, Gabrielle De Lannoy, KU Leuven, Department of Earth and Environmental Sciences, Heverlee, Belgium, John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, Jana Kolassa, USRA/GESTAR, Columbia, United States and Randal D Koster, NASA Goddard SFC, Greenbelt, MD, United States
 
From SMOS/SMAP Surface Soil Moisture to Precipitation Rate (495130)
Thierry Pellarin1, Yann H Kerr2, Luca Brocca3, Christian Massari3, Gérémy Panthou4, Guillaume Quantin5 and Carlos Roman-Cascon6, (1)CNRS, The Institute for Geosciences and Environmental research (IGE), Grenoble, France, (2)CNES French National Center for Space Studies, Toulouse Cedex 09, France, (3)Research Institute for Geo-Hydrological Protection National Research Council CNR, Perugia, Italy, (4)Université Grenoble Alpes, The Institute for Geosciences and Environmental research (IGE), Grenoble, France, (5)Institut des Géosciences de l'Environnement (IGE), Grenoble, France, (6)Laboratoire d'Aérologie - Observatoire Midi Pyrénées., Toulouse, France
 
Near Rear Time 1 km SMAP Soil Moisture Data Product for Potential Use in National Water Model (502504)
Jifu Yin, University of Maryland College Park, College Park, MD, United States, Xiwu Zhan, NOAA/NESDIS/STAR, College Park, MD, United States, Jicheng Liu, NOAA-NESDIS, College Park, MD, United States, Nai-Yu Wang, University of Maryland, College Park, MD, United States and Ralph R Ferraro, NOAA/NESDIS, College Park, MD, United States
 
Improvement of a forward model for brightness temperature including the influence of organic matter on soil permittivity (505092)
Chang-Hwan Park1, Carsten Montzka2, Thomas Jagdhuber3, Andreas Behrendt4, Yoonjae Kim5, Johan Lee6, Seung-On Hwang7, Jinkyu Hong8 and Volker Wulfmeyer4, (1)National Institute of Meteorological Sciences/KMA, Jeju, South Korea, (2)Forschungszentrum Julich - IBG-3, Julich, Germany, (3)German Aerospace Center DLR Oberpfaffenhofen, Microwaves and Radar Institute, Oberpfaffenhofen, Germany, (4)University of Hohenheim, Institute of Physics and Meteorology, Stuttgart, Germany, (5)National Institute of Meteorological Sciences, Seogwipo, South Korea, (6)National Institute of Meteorological Sciences, Seogwipo-si, South Korea, (7)National Institute of Meteorological Research, Seogwipo-si, Korea, Republic of (South), (8)Yonsei University, Department of Atmospheric Sciences, Seoul, South Korea
 
A Global Near-Real-Time Soil Moisture Monitor (508111)
Sara Sadri1, Ming Pan2, Eric F Wood2, Yann H Kerr3 and Yoshihide Wada4, (1)Princeton University, Department of Civil and Environmental Engineering, Princeton, NJ, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)CNES French National Center for Space Studies, Toulouse Cedex 09, France, (4)International Institute for Applied Systems Analysis, Laxenburg, Austria
 
SMAP Mission Status and Recent Science Products Enhancements (508598)
Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, Simon H Yueh, JPL, Pasadena, CA, United States, Peggy E O'Neill, NASA Goddard SFC, Greenbelt, MD, United States, Jared Keith Entin, NASA HQ - SMD, Washington, DC, United States and Mark Garcia, JPL/CalTech, Pasadena, CA, United States
 
Potential applications of SMAP brightness temperature to improve permafrost monitoring in Arctic tundra area (512503)
Yonghong Yi1, Xiaolan Xu2, Richard H Chen3, Kazem Bakian Dogaheh4, Mahta Moghaddam5 and Charles E Miller2, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Lab, Pasadena, CA, United States, (3)University of Southern California, Los Angeles, CA, United States, (4)University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, CA, United States, (5)University of Southern California, Electrical Engineering, Los Angeles, CA, United States
 
Shallow Groundwater Influenced Land Surfaces at Global Scale Detected from SMAP Soil Moisture Retrievals (516159)
Mehmet E Soylu, Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, GA, United States and Rafael L Bras, Georgia Institute of Technology, School of Civil and Environmental Engineering, School of Earth and Atmospheric Sciences, Atlanta, GA, United States
 
Monitoring Volcanic Activity with SMAP: The Search for a Signal (516163)
Shannon MacKenzie, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States and Ralph D Lorenz, JHU / APL, Laurel, MD, United States
 
Satellite observations of environmental controls on vegetation greening and browning trends over Alaska and Northwest Canada domains (517220)
Youngwook Kim, University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, Nicholas Parazoo, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States and Peter B. Kirchner, National Park Service Anchorage, Anchorage, AK, United States
 
A SMAP-based Continental-scale Soil Evaporation Dataset (517379)
Ben Livneh1, Ronnie Abolafia-Rosenzweig1, Andrew Badger2 and Eric E Small3, (1)University of Colorado at Boulder, Boulder, CO, United States, (2)George Mason University Fairfax, Fairfax, VA, United States, (3)Univ of Colorado Boulder, Boulder, CO, United States
 
Emulation and Calibration of Soil Moisture Parameterizations in CESM Using Soil-Moisture Retrievals from SMAP (518290)
Xiang Gao1, Alexander Avramov2, Eri Saikawa2 and C Adam Schlosser1, (1)Massachusetts Institute of Technology, Cambridge, MA, United States, (2)Emory University, Environmental Sciences, Atlanta, GA, United States
 
Using SMAP Soil Moisture to Constrain MOD16 Evapotranspiration Estimates (518961)
Colin Brust, University of Montana, Numerical Terradynamic Simulation Group, Missoula, MT, United States, John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, Marco P Maneta, University of Montana, Geosciences, Missoula, MT, United States, Mingzhu He, University of Montana, Missoula, MT, United States and Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Physically Constrained Inversion of Radiative Transfer Models in L-band for High-resolution Retrievals of Soil Moisture and Vegetation Optical Depth from Space (519708)
Lun Gao, University of Minnesota Twin Cities, Civil, Environmental and Geo-Engineering, Minneapolis, MN, United States, Morteza Sadeghi, Golden Valley, MN, United States and Ardeshir M Ebtehaj, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States
 
Comparison of C- and L-band downscaling of SMAP (525356)
Jeffrey P Walker1, Elaheh Ghafari2, Kamran Davary3, Ali Farid3, Xiaoling Wu1, Liujun Zhu4 and Narendra N Das5, (1)Monash University, Melbourne, Australia, (2)Monash University, Clayton, TAS, Australia, (3)Ferdowsi university of Mashhad, Mashhad, Iran, (4)Monash University, Melbourne, VIC, Australia, (5)Jet Propulsion Lab, Pasadena, CA, United States
 
A Machine Learning Approach for Estimating Daily Relative Humidity Globally Using Remotely Sensed Land Surface Temperature and Soil Moisture (526247)
Roozbeh Raoufi and Edward Beighley, Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States
 
The impact of higher-than-radiometer resolution landscape and weather features on SMAP product (528193)
Yishan Li1, Hui Lu1, Dara Entekhabi2 and Dan Gianotti3, (1)Department of Earth System Science, Tsinghua University, Beijing, China, (2)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, (3)Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States
 
Global assessment and error analysis on SMAP, SMOS, AMSR2 and ESA CCI soil moisture products (538354)
Hongliang Ma1, Jiangyuan Zeng2, Xiang Zhang Dr.1 and Nengcheng Chen Dr.1, (1)Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China, (2)RADI Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, State Key Laboratory of Remote Sensing Science, Beijing, China
 
Evaluation of Precipitation Flag for SMAP Soil Moisture Accuracy using IMERG and GEOS-5 (539249)
Maheshwari Neelam1, Rajat Bindlish2, Peggy E O'Neill3, Rolf H Reichle1, George John Huffman1, Steven Chan4 and Andreas Colliander5, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Goddard Earth Sciences Technology and Research, Greenbelt, MD, United States, (3)NASA Goddard SFC, Greenbelt, MD, United States, (4)Jet Propulsion Lab, Pasadena, CA, United States, (5)Jet Propulsion Laboratory, Pasadena, CA, United States
 
Satellite Monitoring of Global Soil Health Attributes Using the SMAP Level 4 Carbon Product (542483)
John S Kimball1, K. Arthur Endsley2, Rolf H Reichle3, Colin Brust2, Patrick M. Wurster4, Bruce D. Maxwell5 and Marco P Maneta6, (1)University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, (2)University of Montana, Numerical Terradynamic Simulation Group, Missoula, MT, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)University of Montana, Missoula, MT, United States, (5)Montana State University, Department of Land Resources & Environmental Science, Bozeman, MT, United States, (6)University of Montana, Geosciences, Missoula, MT, United States
 
Increased Likelihood of Appreciable Afternoon Rainfall over Wetter Soils under Limited Atmospheric Dynamic Influence (546126)
Joshua Welty1, Susan Stillman1 and Xubin Zeng2, (1)University of Arizona, Tucson, AZ, United States, (2)University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
 
A Super Resolution Convolutional Neural Network approach for simulating NASA’s SMAP Radar observations from Radiometer Data (550204)
Phuong Nguyen, Ananth Vishnu Bhaskar, Samit Shivadekar, Yaccov Yesha and Milton Halem, University of Maryland Baltimore County, Computer Science, Baltimore, MD, United States
 
From Surface to Ground Water: Water Availability Control on African Forests’ Productivity during Severe Meteorological Conditions (553503)
Nima Madani1, Nicholas Parazoo2, John Kimball3, Ashley Ballantyne4, Torbern Tagesson5, Lucas A Jones3, Rolf H Reichle6, Paul I Palmer7, Isabella Velicogna8, A. Anthony Bloom9, Sassan Saatchi10, Zhihua Liu4 and Geruo A11, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)University of California Los Angeles, JIFRESSE, Los Angeles, CA, United States, (3)University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, (4)University of Montana, Missoula, MT, United States, (5)University of Copenhagen, Copenhagen, Denmark, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Edinburgh, School of Geosciences, Edinburgh, United Kingdom, (8)UCI, Irvine, CA, United States, (9)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (10)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (11)University of California Irvine, Department of Earth System Science, Irvine, CA, United States
 
Information Partitioning of SMAP Dual Channel Algorithm Retrieved Products (555453)
Bonan Li and Stephen P Good, Oregon State University, Department of Biological & Ecological Engineering, Corvallis, OR, United States
 
Application of SMAP Data for Ocean Surface Remote Sensing (556438)
Alexander Fore1, Simon H Yueh2, Wenqing Tang1, Bryan W Stiles3 and Akiko Hayashi3, (1)Jet Propulsion Laboratory, Pasadena, CA, United States, (2)JPL, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Microwave Retrievals Of Soil Moisture And Vegetation Water Content As A Means For Improved Wildfire Prediction (556596)
Robert Skylar Powell1, Aleyda M Trevino1, Angela Jean Rigden2, Kaighin A Mccoll3, Qing He4 and Peter J Huybers3, (1)Harvard University, Cambridge, MA, United States, (2)Boston University, Earth and Environment, Boston, MA, United States, (3)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States, (4)Harvard University, Earth and Planetary Sciences, Cambridge, United States
 
Validation of the SMAP Level 4 Carbon Product using a continuous crop condition survey index (566406)
Patrick M. Wurster, University of Montana, Missoula, MT, United States, Santiago Beguería, Organization Not Listed, Washington, DC, United States, John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States, Colin Brust, University of Montana, Numerical Terradynamic Simulation Group, Missoula, MT, United States and Marco P Maneta, University of Montana, Geosciences, Missoula, MT, United States
 
Global Assimilation of Microwave Soil Moisture Retrievals with Local Ensemble Transform Kalman Filter Scheme (569585)
Eunkyo Seo, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South) and Myong-In Lee, Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, Korea, Republic of (South)
 
EXPLORING APPROACHES TO DOWNSCALING AND BIAS CORRECTION OF SMOS AND SMAP SOIL MOISTURE IN GREAT BRITAIN USING RECONSTRUCTED CLIMATOLOGY AND THE COSMOS-UK NETWORK (578125)
Nevil Wyndham Quinn, Michael Horswell, Harry West and Chris Newton, University of the West of England, Geography & Environmental Management, Bristol, United Kingdom
 
Improved understanding of terrestrial water-carbon linkages using satellite soil moisture and a dynamic global vegetation model (601189)
Alka Singh, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Abhishek Chatterjee, USRA, Greenbelt, MD, United States, Benjamin Poulter, NASA GSFC, Biospheric Science, Greenbelt, MD, United States and Zhen Zhang, University of Maryland College Park, College Park, MD, United States
 
Exploring Application of Satellite-based Soil Moisture in Streamflow Predictions (607998)
Navid Jadidoleslam, Ricardo Mantilla and Witold F Krajewski, University of Iowa, Iowa City, IA, United States
 
RSS/NASA SMAP Salinity Version 4 Release (608559)
Andrew Manaster, Thomas Meissner, Frank J Wentz and Richard Lindsley, Remote Sensing Systems, Santa Rosa, CA, United States
 
Soil and vegetative controls on global soil moisture drydowns using SMAP: Implications for large scale soil hydraulic parameterization (616240)
Vinit Sehgal, Texas A&M University College Station, Water Management and Hydrological Science, College Station, TX, United States, Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States and Nandita Gaur, Texas A&M University, College Station, TX, United States
 
Agricultural Application of the SMAP-Sentinel High-Resolution Soil Moisture Product. (616631)
Narendra N Das, Jet Propulsion Laboratory, Pasadena, CA, United States, Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, MA, United States, Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, TX, United States and Simon H Yueh, JPL, Pasadena, CA, United States
 
Evaluation of the Impact of Land Water Supply on the Distribution of Plant Productivity (618269)
Geruo A, University of California Irvine, Department of Earth System Science, Irvine, CA, United States, Isabella Velicogna, UCI, Irvine, CA, United States, Meng Zhao, University of California Irvine, Irvine, CA, United States and John S Kimball, The University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, MT, United States
 
A SMAP validation sudy in the Canadian boreal forest (630616)
Aaron A Berg, University of Guelph, Department of Geography, Guelph, ON, Canada, Ze'ev Gedalof, Univ Guelph, Guelph, ON, Canada, Heather MacRae, University of Guelph, Department of Geography, Guelph, Canada, Jaison Thomas Ambadan, University of Guelph, Guelph, ON, Canada, Erica Tetlock, Environment and Climate Change Canada, Saskatoon, SK, Canada and Andreas Colliander, Jet Propulsion Laboratory, Pasadena, CA, United States
 
Evaluation of Satellite Soil Moisture Datasets Using Mutual Information with Precipitation (633635)
Samuel E Tuttle, Mount Holyoke College, South Hadley, MA, United States and Guido Salvucci, Boston University, Earth and Environment, Boston, MA, United States
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