ML18114A191

Annual Report by Work Group 2- Data Assimilation, Uncertainty Assessment and Environmental Model Confirmation to the Interagency Collaborative for Environmental Modeling and Monitoring by Thomas Nicholson, NRC and WG2 Chair, April 25, 2018

ML18114A191
Person / Time
Issue date:	04/25/2018
From:	Thomas Nicholson NRC/RES/DRA
To:
T. Nicholson 415-2471
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Download: ML18114A191 (16)

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Annual Report by Work Group 22018 ICEMM Annual Public MeetingApril 24 -25, 2018 U.S. Nuclear Regulatory Commission Rockville, MD

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Butler et al

Big Data and Data Assimilation

The concurrent, multivariate assimilation of various terrestrial hydrological datasets (soil moisture, snow depth, snow cover, terrestrial water storage, irrigation intensity) has been demonstrated for the NCA LDAS. Multivariate assimilation of satellite remote sensing datasets are helpful in improving water budget components, including streamflow

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In Clearance establish a base set of model sensitivity analysis and uncertainty evaluation measures, in

addition to the other performance measures

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