National Aeronautics and Space Administration Soil Moisture Active Passive Mission SMAP Update on SMAP Applications and Early Adopter Applied Research.

National Aeronautics and Space Administration

Soil MoistureActive PassiveMission

SMAP

Update on SMAP Applications and Early Adopter Applied

Research

Vanessa M EscobarSMAP Applications Coordinator,

NASA GSFC/SSAI

Not for public release or redistribution. This document has been reviewed and determined not to contain export controlled technical data.

LANCE WGOctober 20, 2015

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SMAP Early Adopters using Pre-Beta Products, SMAP project contacts, and applied research topics

Early Adopter PI and institution Applied Research Topic

Weather and Climate Forecasting* Stephane Bélair, Meteorological Research Division, Environment Canada (EC); SMAP Contact: Stephane Bélair

Assimilation and impact evaluation of observations from the SMAP mission in Environment Canada's Environmental Prediction Systems

* Lars Isaksen and Patricia de Rosnay, European Centre for Medium-Range Weather Forecasts (ECMWF); SMAP Contact: Eni Njoku

Monitoring SMAP soil moisture and brightness temperature at ECMWF

* Xiwu Zhan, Michael Ek, John Simko and Weizhong Zheng, NOAA National Centers for Environmental Prediction (NCEP), NOAA National Environmental Satellite Data and Information Service (NOAA-NESDIS); SMAP Contact: Randy Koster

Transition of NASA SMAP research products to NOAA operational numerical weather and seasonal climate predictions and research hydrological forecasts

* Michael Ek, Marouane Temimi, Xiwu Zhan and Weizhong Zheng, NOAA National Centers for Environmental Prediction (NCEP), NOAA National Environmental Satellite Data and Information Service (NOAA-NESDIS); SMAP Contact: Chris Derksen

Integration of SMAP freeze/thaw product line into the NOAA NCEP weather forecast models

◊ Jonathan Case, Clay Blankenship and Bradley Zavodsky, NASA Short-term Prediction Research and Transition (SPoRT) Center; SMAP Contact: Dara Entekhabi

Data assimilation of SMAP observations, and impact on weather forecasts in a coupled simulation environment

Droughts and Wildfires◊ Brian Wardlow and Mark Svoboda, Center for Advanced Land Management Technologies (CALMIT), National Drought Mitigation Center (NDMC); SMAP Contact: Narendra Das

Evaluation of SMAP soil moisture products for operational drought monitoring: potential impact on the U.S. Drought Monitor (USDM)

Floods and Landslides◊ Luca Brocca, Research Institute for Geo-Hydrological Protection, Italian Dept. of Civil Protection; SMAP contact: Dara Entekhabi

Use of SMAP soil moisture products for operational flood forecasting: data assimilation and rainfall correction

◊ G. Robert Brakenridge, Dartmouth Flood Observatory, University of Colorado; SMAP contact: Seungbum Kim

Use of SMAP data for early detection of inland flooding

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SMAP Early Adopters using Pre-Beta Products, SMAP project contacts, and applied research topics

Early Adopter PI and institution Applied Research Topic

Agricultural Productivity* Catherine Champagne, Agriculture and Agri-Food Canada (AAFC); SMAP Contact: Stephane Bélair

Soil moisture monitoring in Canada

* Zhengwei Yang and Rick Mueller, USDA National Agricultural Statistical Service (NASS); SMAP Contact: Wade Crow

US National cropland soil moisture monitoring using SMAP

* Curt Reynolds, USDA Foreign Agricultural Service (FAS); SMAP Contact: Wade Crow

Enhancing USDA’s global crop production monitoring system using SMAP soil moisture products

National Security* John Eylander and Susan Frankenstein, Cold Regions Research and Engineering Laboratory (CRREL); SMAP Contact: Steven Chan

U. S. Army ERDC SMAP adoption for USACE civil and military tactical support

* Gary McWilliams, George Mason, Li Li, Andrew Jones and Maria Stevens, US Army, US Navy, and Colorado State University (CSU); SMAP Contact: Steven Chan

Exploitation of SMAP data for Army and Marine Corps mobility assessment

◊ Georg Heygster, Institute of Environmental Physics, University of Bremen, Germany; SMAP Contact: Simon Yueh

SMAP-Ice: Use of SMAP observations for sea ice remote sensing

◊ Lars Kaleschke and Amelie Tetzlaff, Institute of Oceanography, University of Hamburg; SMAP Contact: Simon Yueh

SMOS to SMAP migration for cryosphere and climate application

◊ Matthew Arkett, Canadian Ice Service; SMAP contact: Simon Yueh Pre-launch evaluation of SMAP L-band SAR data for operational sea ice monitoring

◊ Derek Ward, Lockheed Martin Missiles and Fire Control; SMAP contact: Steven Chan

Manned and unmanned vehicle ground mobility predictions and route selection

◊ Micki Ream, U.S. National Ice Center, Naval Research Laboratory; SMAP contact: Simon Yueh

NIC cryospheric investigations in support of NASA ROSES arctic sea ice applications of geodetic imaging

◊ Christopher Jackson and Frank Monaldo, NOAA NESDIS Center for Satellite Applications and Research (STAR); SMAP Contact: Simon Yueh

Ocean surface wind and sea ice measurements derived from SMAP SAR data

General◊ Srini Sundaram, Agvesto, Inc., UK; SMAP Contact: Robert Gurney Application of SMAP data products in Agrisolum - A bigdata social

agritech platform ◊ Tyler Erickson and Rebecca Moore, Google Earth Engine, Google, Inc.; SMAP contact: Narendra Das and Amanda Leon

Making SMAP data products available in the Google Earth Engine Analysis Platform

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SMAP SM Retrievals via NOAA SMOPS

* NOAA NWP and other operations may require observational data latency shorter than 6 hours* NOAA Soil Moisture Product System (SMOPS) is designed to ingest available satellite soil moisture observations to NOAA NWP and other operations and research* Preliminary test shows that SMOPS could retrieve soil moisture products from L1B TB data with shorter latency* Further test, evaluation/validation and application are on-going

Xiwu Zhan, Michael Ek, John Simko and Weizhong Zheng, NOAA NCEP, NOAA-NESDIS

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SMAP: Very first validation results in ItalySMAP: Very first validation results in Italy

Very first validation results of SMAP soil moisture data (L3_P) in central Italy through the real-time monitoring network operating since 2009.

Cerbara Station

Luca Brocca, Research Institute Geo-Hydrological Protection, Italian Dept. of Civil Protection

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Toward a unified ice thickness product derived from SMAP and SMOS: First results of brightness temperature comparisons

Toward a unified ice thickness product derived from SMAP and SMOS: First results of brightness temperature comparisons

Lars Kaleschke and Amelie Tetzlaff, Institute of Oceanography, University of Hamburg

Selected regions over ice and water, 400x400 km

AMSR2 ice edgeQuantitative SMOS/SMAP comparison over sea ice

AverageAverage TBV TBH

RMSD 1.7K 3.7K

Bias -0.8K 2.9K

StdDev TBV TBH

RMSD 0.7K 1.1K

Bias <0.1K <0.1K

Quantitative SMOS/SMAP comparison over open water

• RFI contamination in SMOS +• Known issue in SMOS v620: ocean bias (but better

long-term stability• SMAP v001 (current beta version)• Bias: 1.2K (TBV), 11.6K (TBH)• Noise in the signal r~0.5

• Very good SMOS/SMAP agreement over sea ice• Large bias (>11K) in TBH over water

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Derek Ward, Lockheed Martin Missiles and Fire Control

Manned and unmanned vehicle ground mobility predictions and route selection

Manned and unmanned vehicle ground mobility predictions and route selection

MC = Soil Moisture Content

• 4 Tactical Wheeled Vehicles, • Mobility in Indonesia• Considering central tire inflation

system (CTIS)

• With SMAP radar, the GO area prediction Is significantly different• Radiometer resolution doesn’t fit the scale at which calculations are made• We will be using the SMAP radiometer data in ACV and

some marine corps vehicle program estimates

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Christopher Jackson and Frank Monaldo, NOAA NESDIS and NOAA STAR

SMAP High Resolution Radar Imagery for Ocean Surface Wind Speed

SMAP High Resolution Radar Imagery for Ocean Surface Wind Speed

Preliminary Example of SMAP L-band HH NRCS converted to wind(uncorrected for radar/wind azimuth)

"We are anticipating doing additional processing going forward as time and resources permit, but the priority has been reduced since there is no ongoing [radar] data stream.

We are beginning to look at how the radiometer might be able to aid us."

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Famine Early Warning System (FEWS) Focus Areas in Africa

• SMAP will be introduced to FewsNet analysts at a monthly meeting on Oct 13.

Sept. FewsNet Analysis Report

Sept. flooding in West Africa is captured by SMAP L-3 regional images (Sept 10-18).

FewsNet reports drought in Ethiopia but higher than average Sept. rain. SMAP sees moderately-to-very wet soil.

dry

wet

Chris Funk, Amy McNally and James Verdin, USGS & UC Santa Barbara

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SMAP Early Adopter Applied Research

• 22 of 55 Early Adopters were authorized to access SMAP pre-beta release products through the DAAC

• 11 Early Adopters published pre-launch applied research in the Journal of Hydrometeorology Special Collection http://journals.ametsoc.org/page/smap

• SMAP derived products from the EAs will be made available through the SMAP Applications Website-coming soon!

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• Resolution products being developed with Sentinel and RADARSat

• Early Adopters using 10 weeks of Radar-provide feedback on the value of radar for applications

• NASA HQ looking at future Radar mission based on the “need” and impact demonstrated through Early Adopters

• Ocean Surface Wind Vectors (OSWV) – This is not being  produced by SMAP because of the loss of the Radar. 

• Ocean Vector Winds (OVWST) – This would have been a PI led product, (possibly Chris Jackson at NOAA-a

SMAP Early Adopter).  – SMAP did not have OVWST as a mission product but was willing to support EAs

interested in developing this type product with SMAP data.  – SMAP is in the process of evaluating SMAP's hurricane wind speed product

derived from the radiometer data and will be updating us as we move forward. 

SMAP Radar Update