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Overview

Overview. Goal: Improve predictions in a coupled (land/atmosphere) weather model by assimilating observations of soil moisture into a land surface model.LIS (Land Information System)Coupled mode--WRF and SHEELS LSM AMSR-E soil moisture observationsData Assimilation by Ensemble Kalman FilterMethodologyAdd SHEELS as a new land surface model in LIS.Add coupled-run and AMSR-E data assimilation capability to SHEELS in LIS.Run data assimilation experiments..

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Overview

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Presentation Transcript

    2. Overview

    3. Land Information System (LIS)

    4. SHEELS

    5. User-configured layers.User-configured layers.

    7. Shorten blue sentenceShorten blue sentence

    9. Adding SHEELS to LIS 1 slide with bullets 1 slide with bullets

    10. LSM Input Data

    11. Layer 1 Total Water (Liquid+Ice), hourly

    12. Layer 1 Soil Ice (hourly)

    13. Snow cover (daily)

    14. Model Results Nebraska JAN-JUL 2003

    15. Model Results N. Texas JAN-JUL 2003

    16. AMSR-E Soil Moisture Data

    17. Ensemble Kalman Filter

    18. Settings for Data Assimilation

    19. DA Results Soil Moisture Layer 1 Hourly Change

    20. Assimilation Results

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