H21H:
The NASA Soil Moisture Active Passive (SMAP) Mission Status and Early Results II Posters


Session ID#: 7580

Session Description:
NASA’s Soil Moisture Active Passive (SMAP) mission was launched on January 31, 2015. SMAP provides high-resolution, frequent revisit global mapping of soil moisture and freeze/thaw state based on coincident L-band radiometer and L-band radar measurements. Soil moisture products with varying resolution and coverage are produced from the radiometer alone, radar alone, radiometer-radar combination and data assimilation. In this session the status of the SMAP observatory and early results based on the science data products will be included. The mapping low-frequency microwave radar and radiometer measurements are also used in development of new data and information on the cryosphere and the biosphere. This session will include abstracts on the new Earth monitoring opportunities with the availability of mapping active and passive microwave measurements.
Primary Convener:  Dara Entekhabi, Massachusetts Institute of Technology, Civil and Environmental Engineering, Cambridge, MA, United States
Conveners:  Simon H Yueh, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Peggy E O'Neill, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs:  Dara Entekhabi, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, United States and Simon H Yueh, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
OSPA Liaison:  Simon H Yueh, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • C - Cryosphere
Index Terms:

1836 Hydrological cycles and budgets [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]

Abstracts Submitted to this Session:

Investigating Baseline, Alternative and Copula-based Algorithm for combining Airborne Active and Passive Microwave Observations in the SMAP Context (58914)
Carsten Montzka1, Christof Lorenz2, Thomas Jagdhuber3, Patrick Laux4, Irena Hajnsek5, Harald Kunstmann2, Dara Entekhabi6 and Harry Vereecken7, (1)Forschungszentrum Jülich GmbH, Jülich 52428, Germany, (2)Karlsruhe Institute of Technology, Karlsruhe, Germany, (3)Institute of Geography, University of Augsburg, Augsburg, Germany, (4)Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany, (5)ETH Swiss Federal Institute of Technology Zurich, Zurich, Switzerland, (6)Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, Cambridge, United States, (7)Geoverbund ABC/J, Centre for High-Performance Scientific Computing in Terrestrial Systems (TerrSys), Jülich, Germany
SMAP RADAR Calibration and Validation (65541)
Richard D West1, Sermsak Jaruwatanadilok1, Mario Julian Chaubel1, Michael Spencer2, Samuel F. Chan2, Curtis W Chen2 and Alexander Fore3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Science Data System Contribution to Calibrating and Validating SMAP Data Products (67906)
David Cuddy, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
A synergisitic Neural Network Soil Moisture Retrieval Algorithm for SMAP (69322)
Jana Kolassa, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Rolf H Reichle, NASA Goddard Space Flight Center, Greenbelt, United States, Pierre Gentine, Columbia University, Earth Institute, New York, United States, Catherine Prigent, Observatoire de Paris-Meudon, Paris, France, Filipe Aires, Estellus S.A.S., Paris, France and Bin Fang, Columbia University of New York, Palisades, NY, United States
Experimental High Resolution (3 km) SMAP Soil Moisture Data Fields With Uncertainty Estimates (70159)
Narendra N Das, NASA Jet Propulsion Laboratory, Water and Carbon Cycle Group, Pasadena, CA, United States
New Combined L-band Active/Passive Soil Moisture Retrieval Algorithm Optimized for Argentine Plains (75775)
Cintia Alicia Bruscantini1, Francisco Grings2, Mercedes Salvia3, Paolo Ferrazzoli4 and Haydee Karszenbaum3, (1)Instituto de Astronomía y Física del Espacio, Buenos Aires, Argentina, (2)Instituto de astronomia y fisica del espacio, Ciudad Autonoma de Buenos Aires, Argentina, (3)Instituto de Astronomia y Fisica del Espacio (CONICET/UBA), Quantitative Remote Sensing Group, Buenos Aires, Argentina, (4)University of Rome Tor Vergata, Rome, Italy
Satellite Based Soil Moisture Product Validation Using NOAA-CREST Ground and L-Band Observations (80553)
Christian Campo, New York City College of Technology, Brooklyn, NY, United States, Hamid Norouzi, New York City College of Technology, CUNY, Brooklyn, United States, Marouane Temimi, Khalifa University of Science and Technology, CESAM Lab, Abu Dhabi, United Arab Emirates, Tarendra Lakhankar, NOAA CESSRST, City College of New York, New York, NY, United States and Reza Khanbilvardi, CUNY-Civil Engineering T-107, New York, NY, United States
Soil Moisture Active Passive (SMAP) Data and Services at the NASA NSIDC DAAC (80611)
Amanda Leon, National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado Boulder, Boulder, United States, Lisa Booker, National Snow and Ice Data Center, CIRES University of Colorado, Boulder, CO, United States, Shannon R Leslie, NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC), Boulder, CO, United States, Siri Jodha S Khalsa, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States and Karla LeFevre, National Snow and Ice Data Center, Boulder, CO, United States
SMAP Mission Applications; Post Launch Research and the Early Adopter Program Socioeconomic Impact Analyses (80667)
Vanessa M Escobar, NASA Headquarters, Washington DC, DC, United States
SMAP/SMOS Soil moisture brightness temperature virtual observations to study data assimilation scheme (83131)
Pablo Saavedra Garfias and Clemens Simmer, University of Bonn, Bonn, Germany
Comparing SMAP to Macro-scale and Hyper-resolution Land Surface Models over Continental U. S. (84603)
Ming Pan, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, UC San Diego, La Jolla, United States, Xitian Cai, Princeton University, Princeton, NJ, United States, Nathaniel W. Chaney, Duke University, Durham, United States and Eric F Wood, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States
SMAP Radar Data and Services at the ASF DAAC (85157)
Scott A Arko, Ian R Dixon and Victoria Goetcheus Wolf, Alaska Satellite Facility, Fairbanks, AK, United States

See more of: Hydrology