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NIDIS Mandate To “develop and provide a national drought early warning system” in order to: “better inform and provide for more timely decision-making to reduce drought-related impacts and costs”

NATIONAL INTEGRATED DROUGHT INFORMATION SYSTEM ACT OF 2006 (PUBLIC LAW 109-430). REAUTHORIZED IN 2014 (PUBLIC LAW 113-86).

National Integrated Drought Information System (NIDIS)

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  • comprehensive system that collects and

integrates information on the key indicators of drought

  • includes timely (where possible real-time) data,

information, and products that reflect local, regional, and State differences in drought conditions

  • coordinate, and integrate as practicable, Federal

research in support of a drought early warning system

NIDIS – 2006 Public Law

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  • utilize and support, as appropriate, monitoring by

citizen scientists, including by developing best practices to facilitate maximum data integration.

  • Soil Moisture.—Not later than 1 year after the

date of enactment, NIDIS shall develop a strategy for a national coordinated soil moisture monitoring network.

S.2200 - National Integrated Drought Information System Reauthorization Act of 2018

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Not later than 1 year after the date of the enactment of this Act, the Secretary of Agriculture shall develop and implement a strategy to improve the accuracy of the United States Drought Monitor through increased geographic resolution of rural in- situ soil moisture profile observation or other soil moisture profile measuring devices, as the Secretary considers appropriate.

  • S. 2936: Improved Soil Moisture and

Precipitation Monitoring Act of 2018

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Priorities coming out of 2016 NCSMMN Meeting

Inventory of available SM networks Standards and specifications Metadata for each site Probabilistic gridded product Soil temperature data Data search feature Funding Sources Data format Remote sensing platforms Incorporation into modeling efforts Users of data Hosting and operation of product Citizen science

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Next Steps

  • High-resolution gridded synthesized products

Variables: SM, ST, PAW, FAW, Soils, Veg data, model output Metrics: VWC, weekly/daily change, percentiles, uncertainty

  • Soil profile (site-specific) after sensor installation & soil

analysis

  • Testbed and sensor challenge
  • Develop user community

ID people/groups developing products ID users of those products

  • Statistical methods to normalize across diverse networks
  • Diversify station location (e.g. transition areas, irrigated lands)
  • Public-private partnerships to facilitate standardization
  • Involve citizen scientists
  • Develop series of workshops with ender user groups
  • MOUs or MTRAs for data sharing among the in-situ networks
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Questions

Identifying Gaps and Needs Discuss and identify gaps in available soil moisture data and information products, considering spatial coverage, temporal coverage and data availability. Brainstorm how existing data sets could be leveraged or integrated to fill gaps and meet needs

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Questions

Collaboration, Funding, & Data Integration

How can we engage soil moisture data holders to share their data in machine-readable ways? Considering successes and lessons learned from

  • ther data sharing programs, how might we fund a

National Soil Moisture Network? Brainstorm strategies for data integration and list pros and cons for each. Consider both the data provider and the data user's perspective.

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Questions

Gathering Requirements for the Network

Brainstorm data products that you would expect would be available from a National Soil Moisture Network. How would you expect you'd be able to find and view soil moisture data from a National Network? Which methods would you anticipate that soil moisture data from a National Network be accessible by? (e.g. FTP, File download, Web service) In which formats would you anticipate that soil moisture data from a National Network be accessible in? (e.g. CSV, NetCDF, GeoJSON, XML)

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Thank you