Article detail · 2013
The Optimality of Potential Rescaling Approaches in Land Data Assimilation
- Year
- 2013
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Journal of Hydrometeorology
- Catalog match (ISSN) Journal of Hydrometeorology
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Abstract It is well known that systematic differences exist between modeled and observed realizations of hydrological variables like soil moisture. Prior to data assimilation, these differences must be removed in order to obtain an optimal analysis. A number of rescaling approaches have been proposed for this purpose. These methods include rescaling techniques based on matching sampled temporal statistics, minimizing the least squares distance between observations and models, and the application of triple collocation. Here, the authors evaluate the optimality and relative performances of these rescaling methods both analytically and numerically and find that a triple collocation–based rescaling method results in an optimal solution, whereas variance matching and linear least squares regression approaches result in only approximations to this optimal solution.
Topics
Citations
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144 citations
OpenAlex cited_by_count (cache / database)
11 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Evaluation of Assumptions in Soil Moisture Triple Collocation Analysis 2014
- Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin 2014
- An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula 2014
- The Auto Tuned Land Data Assimilation System ATLAS 2014
- Optimal averaging of soil moisture predictions from ensemble land surface model simulations 2015
- Evaluation of Remotely-Sensed and Model-Based Soil Moisture Products According to Different Soil Type, Vegetation Cover and Climate Regime Using Station-Based Observations over Turkey 2019
- Impact of Rescaling Approaches in Simple Fusion of Soil Moisture Products 2019
- The added utility of nonlinear methods compared to linear methods in rescaling soil moisture products 2017
- Impact of Model Relative Accuracy in Framework of Rescaling Observations in Hydrological Data Assimilation Studies 2016
- Evaluation of the fully coupled WRF and WRF-Hydro modelling system initiated with satellite-based soil moisture data 2024