From Near-Surface to Root-Zone Soil Moisture Using Different Assimilation Techniques
Open Access
- 1 April 2007
- journal article
- Published by American Meteorological Society in Journal of Hydrometeorology
- Vol. 8 (2), 194-206
- https://doi.org/10.1175/jhm571.1
Abstract
Root-zone soil moisture constitutes an important variable for hydrological and weather forecast models. Microwave radiometers like the L-band instrument on board the European Space Agency’s (ESA) future Soil Moisture and Ocean Salinity (SMOS) mission are being designed to provide estimates of near-surface soil moisture (0–5 cm). This quantity is physically related to root-zone soil moisture through diffusion processes, and both surface and root-zone soil layers are commonly simulated by land surface models (LSMs). Observed time series of surface soil moisture may be used to analyze the root-zone soil moisture using data assimilation systems. In this paper, various assimilation techniques derived from Kalman filters (KFs) and variational methods (VAR) are implemented and tested. The objective is to correct the modeled root-zone soil moisture deficiencies of the newest version of the Interaction between Soil, Biosphere, and Atmosphere scheme (ISBA) LSM, using the observations of the surface soil mo... Abstract Root-zone soil moisture constitutes an important variable for hydrological and weather forecast models. Microwave radiometers like the L-band instrument on board the European Space Agency’s (ESA) future Soil Moisture and Ocean Salinity (SMOS) mission are being designed to provide estimates of near-surface soil moisture (0–5 cm). This quantity is physically related to root-zone soil moisture through diffusion processes, and both surface and root-zone soil layers are commonly simulated by land surface models (LSMs). Observed time series of surface soil moisture may be used to analyze the root-zone soil moisture using data assimilation systems. In this paper, various assimilation techniques derived from Kalman filters (KFs) and variational methods (VAR) are implemented and tested. The objective is to correct the modeled root-zone soil moisture deficiencies of the newest version of the Interaction between Soil, Biosphere, and Atmosphere scheme (ISBA) LSM, using the observations of the surface soil mo...Keywords
This publication has 35 references indexed in Scilit:
- A Global Root-Zone Soil Moisture Analysis Using Simulated L-band Brightness Temperature in Preparation for the Hydros Satellite MissionJournal of Hydrometeorology, 2006
- A simplified bi‐dimensional variational analysis of soil moisture from screen‐level observations in a mesoscale numerical weather‐prediction modelQuarterly Journal of the Royal Meteorological Society, 2004
- Modelling CO2-enrichment effects using an interactive vegetation SVAT schemeAgricultural and Forest Meteorology, 2001
- From Near-Surface to Root-Zone Soil Moisture Using Year-Round DataJournal of Hydrometeorology, 2000
- A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and ForecastsMonthly Weather Review, 1999
- MUREX: a land-surface field experiment to study the annual cycle of the energy and water budgetsAnnales Geophysicae, 1999
- An interactive vegetation SVAT model tested against data from six contrasting sitesAgricultural and Forest Meteorology, 1998
- Analysis Scheme in the Ensemble Kalman FilterMonthly Weather Review, 1998
- Retrieving the Root-Zone Soil Moisture from Surface Soil Moisture or Temperature Estimates: A Feasibility Study Based on Field MeasurementsJournal of Applied Meteorology and Climatology, 1998
- The Anomalous Rainfall over the United States during July 1993: Sensitivity to Land Surface Parameterization and Soil Moisture AnomaliesMonthly Weather Review, 1996