Analysis of Large Scale Spatial Variability of Soil Moisture Using a Geostatistical Method
| Autor: | Thomas H. Vonder Haar, Andrew S. Jones, Reza Khanbilvardi, Cynthia L. Combs, Tarendra Lakhankar, Manajit Sengupta |
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| Rok vydání: | 2010 |
| Předmět: |
AGRMET
Soil science lcsh:Chemical technology Biochemistry Article Analytical Chemistry Soil Data assimilation Evapotranspiration lcsh:TP1-1185 Computer Simulation kriging Electrical and Electronic Engineering Variogram Instrumentation Water content soil moisture variogram Oklahoma Mesonet Models Statistical Moisture Water Atomic and Molecular Physics and Optics Digital soil mapping Environmental science Spatial variability Mesonet Environmental Monitoring |
| Zdroj: | Sensors (Basel, Switzerland) Sensors, Vol 10, Iss 1, Pp 913-932 (2010) Sensors; Volume 10; Issue 1; Pages: 913-932 |
| ISSN: | 1424-8220 |
| Popis: | Spatial and temporal soil moisture dynamics are critically needed to improve the parameterization for hydrological and meteorological modeling processes. This study evaluates the statistical spatial structure of large-scale observed and simulated estimates of soil moisture under pre- and post-precipitation event conditions. This large scale variability is a crucial in calibration and validation of large-scale satellite based data assimilation systems. Spatial analysis using geostatistical approaches was used to validate modeled soil moisture by the Agriculture Meteorological (AGRMET) model using in situ measurements of soil moisture from a state-wide environmental monitoring network (Oklahoma Mesonet). The results show that AGRMET data produces larger spatial decorrelation compared to in situ based soil moisture data. The precipitation storms drive the soil moisture spatial structures at large scale, found smaller decorrelation length after precipitation. This study also evaluates the geostatistical approach for mitigation for quality control issues within in situ soil moisture network to estimates at soil moisture at unsampled stations. |
| Databáze: | OpenAIRE |
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