Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions

Navid Jadidoleslam; Ricardo Mantilla; Witold F Krajewski

doi:10.3390/hydrology8010052

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Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions

Journal article

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Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions

Navid Jadidoleslam, Ricardo Mantilla and Witold F Krajewski

Hydrology, Vol.8(1), p.52

03/20/2021

DOI: 10.3390/hydrology8010052

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Abstract

The authors examine the impact of assimilating satellite-based soil moisture estimates on real-time streamflow predictions made by the distributed hydrologic model HLM. They use SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture Ocean Salinity) data in an agricultural region of the state of Iowa in the central U.S. They explore three different strategies for updating model soil moisture states using satellite-based soil moisture observations. The first is a “hard update” method equivalent to replacing the model soil moisture with satellite observed soil moisture. The second is Ensemble Kalman Filter (EnKF) to update the model soil moisture, accounting for modeling and observational errors. The third strategy introduces a time-dependent error variance model of satellite-based soil moisture observations for perturbation of EnKF. The study compares streamflow predictions with 131 USGS gauge observations for four years (2015–2018). The results indicate that assimilating satellite-based soil moisture using EnKF reduces predicted peak error compared to that from the open-loop and hard update data assimilation. Furthermore, the inclusion of the time-dependent error variance model in EnKF improves overall streamflow prediction performance. Implications of the study are useful for the application of satellite soil moisture for operational real-time streamflow forecasting.

Details

Title: Subtitle: Data Assimilation of Satellite-Based Soil Moisture into a Distributed Hydrological Model for Streamflow Predictions
Creators: Navid Jadidoleslam
Ricardo Mantilla
Witold F Krajewski
Resource Type: Journal article
Publication Details: Hydrology, Vol.8(1), p.52
DOI: 10.3390/hydrology8010052
ISSN: 2306-5338
eISSN: 2306-5338
Grant note: DOI: 10.13039/100000104, name: National Aeronautics and Space Administration, award: NNX16AQ57G
Language: English
Date published: 03/20/2021
Academic Unit: Civil and Environmental Engineering; IIHR--Hydroscience and Engineering
Record Identifier: 9984197324302771

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