Nat Natio ional al Soil il Mois isture Map ap Steven M. - - PowerPoint PPT Presentation

Nat Natio ional al Soil il Mois isture Map ap

Steven M. Quiring, Ohio State University Quiring.10@osu.edu

Developing National Soil Moisture Products to Improve Drought Monitoring (NOAA MAPP): 2017-2019 Developing Gridded Soil Moisture Maps Using NRCS SSURGO (NRCS): 2015-2017 NIDIS Pilot: 2014

Vision

In In Situ u So Soil Moisture Measurements: Na NationalSoilMoisture.com

Nationalsoilmoisture.com

Sy System Ar Architecture fo for Na NationalSoilMoisture.com

Da Data Acquisition, Qu Quality Control, & & Interpolation

Zhang, N., Quiring, S. M., Ochsner, T. and T. W. Ford (2017) Comparison of Three Methods for Vertical Extrapolation of Soil Moisture in Oklahoma. Vadose Zone, 16(10): doi:10.2136/vzj2017.04.0085 Ford, T. W., Wang, Q. and S. M. Quiring (2016) The

• bservation record length necessary to generate

robust soil moisture percentiles. Journal of Applied Meteorology and Climatology, 55: 2131-2149. DOI: 10.1175/JAMC-D-16-0143.1 Yuan, S. and S. M. Quiring (2017) Comparison of three methods of interpolating soil moisture in

• Oklahoma. International Journal of Climatology,

37: 987–997. DOI: 10.1002/joc.4754 Quiring S. M., Ford T. W., Wang J. K., Khong A., Harris E., Lindgren T., Goldberg D. W., Li Z. (2016) North American Soil Moisture Database: Development and Applications. Bulletin of the American Meteorological Society, 97: 1441–1459, doi: 10.1175/BAMS-D-13-00263.1 Forthcoming = sensor standardization, methods for developing a national SM map, etc.

PRISM gSSURGO Precipitation Soil characteristics Sites Soil moisture Interpolation Reduced Optimal Interpolation Regression Kriging Ordinary Kriging Gridded soil moisture product

Me Methods

gSSURGO Data

• 10 m resolution, resampled to 4 km, to match with PRISM
• numerous soil characteristics (soil texture, AWC, organic matter)

Ac Accuracy As Assessment

5 cm 5 cm 20 cm 20 cm

Mo Monthly Va Variations in MA MAE

Multi-year (2005 to 2017) monthly mean MAE based on soil moisture percentiles interpolated by IDW , OK and RK at 5 cm and 20 cm

Na National So Soil Moisture: Ne Near Real-Ti Time Experimental Products

Current data formats:

• web maps
• CSV
• GeoTIFF

What other formats are desired? Data products:

• percentiles
• delta (7 day change)
• soil temperature

Future products:

• VWC anomalies
• others?

Latency: 24 hours Resolution: daily soil moisture

Ne Next Steps

• 1. Incorporate more in situ measurements (CoCoRaHS, South Dakota, North

Carolina, Georgia, Kentucky, etc.)

• 2. Improve interpolation accuracy
• 3. Complete the assessment of the fidelity of various in situ soil moisture
• bservations and satellite remote sensing- and model-based soil moisture

products (SIU)

• 4. **Integrate remote sensing (SMAP) and modeled (NLDAS or NWM?) soil

moisture information with in situ measurements to develop a national- scale, near-real time soil moisture product for drought monitoring (OSU) [We will present this at MOISST next year]**

• 5. Deliver operational gridded soil moisture products (USGS)

Ch Challenges to Developing a National Soil Moisture Map

• 1. Data sharing and support
• How can we support data collection, calibration and quality control (mesonets)?
• 2. Coordination and communication
• How do we coordinate with and leverage other similar efforts (CRN, SMERGE, etc.)?
• 3. Leadership
• Who decides? Where is the long-term home for these products? Who will provide

the care and feeding?

St Steven Quiring – qui quiring ng.10@osu.edu u Trent Ford – twford@siu.edu Jessica Lucido – jlucido@usgs.gov Mike Strobel – michael.strobel@por.usda.gov Acknowledgements

Chen Zhao, Shanshui Yuan, Zack Leasor, Ning Zhang, Paul Dirmeyer, Angelina Arcuri, Makenzee Loft, Jordan Read

Funding

Developing Gridded Soil Moisture Maps Using NRCS SSURGO (NRCS) Developing National Soil Moisture Products to Improve Drought Monitoring (NOAA MAPP) NIDIS

NA17OAR4310148

Crow et al., 2012

Land Cover, Elevation, Slope, etc.

• President Obama’s Climate Action Plan (2013)
• Missing piece of hydrologic observational data

Wh What t is th the N Nati tional Soil M Moistu ture N Netw twork?

Who is the NSMN?

Vision

• Where do we want to be in 5 years?

Next Steps (outlined in 2016 report)

St Standardizing So Soil Moisture Measurements

Zhang, N., S. Quiring, T. Ochsner, and T. Ford. 2017. Comparison of three methods for vertical extrapolation of soil moisture in Oklahoma. Vadose Zone J. 16(10). doi:10.2136/vzj2017.04.0085

Me Measure rement De Depth

So Soil Moisture Pe Percentiles: How Mu Much Da Data is Ne Needed?

Ford et al. (2016) The observation record necessary to generate robust soil moisture percentiles. Journal of Applied Meteorology and Climatology, 55: 2131-2149.

Te Temporal variations in monthly MAE based on ID IDW, OK and RK

5 cm soil moisture percentiles in the continental U.S. 20 cm soil moisture percentiles in the continental U.S.

Ho How can you get involved in NSMN?

• 1. Join the NSMN community and contribute your knowledge and

expertise

• 2. Contribute soil moisture data. We need more measurements in

forests!

• 3. Provide feedback regarding the type of national soil moisture

products that you would find most useful

• 4. Support soil moisture-related data collection and research

De Developing g National Soil Moisture Products to Improve Dr Drough ght Monitoring

• 1. Assess the fidelity of various in situ soil moisture observations

and satellite remote sensing- and model-based soil moisture products

• 2. Integrate remote sensing and modeled soil moisture

information with in situ measurements to develop a national- scale, near-real time soil moisture product for drought monitoring

• 3. Design and develop a proof-of-concept cyber infrastructure for

delivery of the gridded soil moisture product