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  2. Algorithms for model parameter estimation, state estimation, and forecasting applied to a State-Space model coupled with the Kalman Filter for one-dimensional vertical infiltration to fractured rock aquifers

Algorithms for model parameter estimation, state estimation, and forecasting applied to a State-Space model coupled with the Kalman Filter for one-dimensional vertical infiltration to fractured rock aquifers

Dates

Release Date
2021-01-01
Publication Date

Citation

Shapiro, A.M., 2021, Algorithms for model parameter estimation, state estimation, and forecasting applied to a State-Space model coupled with the Kalman Filter for one-dimensional vertical infiltration to fractured rock aquifers: U.S. Geological Survey data release, https://doi.org/10.5066/P9VBR9V8.

Summary

The algorithms and input data included in this data release are used to interpret time-series data (water- table altitude, precipitation, and potential evapotranspiration) over an observation period to estimate model parameters of a State-Space (SS) model of vertical infiltration to a fractured-rock aquifer. The SS model is coupled with a Kalman Filter (KF) to estimate system states (water-table altitude and groundwater recharge) over the observation period and forecast beyond the end of the observation period. This SS/KF model is formulated for one-dimensional vertical infiltration and includes preferential and diffuse flow through the unsaturated zone to the water table. The analysis was conducted to demonstrate the application of [...]

Contacts

Point of Contact :
Allen M Shapiro, U.S. Geological Survey
Originator :
Allen M. Shapiro
Metadata Contact :
U.S. Geological Survey
SDC Data Owner :
Earth System Processes Division
USGS Mission Area :
Water Resources

Attached Files

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shapiro2021_wrr.xml
Original FGDC Metadata
View 		16.95 KB application/fgdc+xml
model.zip 1.72 MB application/zip
output.zip 806 KB application/zip
shapiro2021_wrrThumbnail.jpg thumbnail 113.52 KB image/jpeg
readme.txt 44.48 KB text/plain
source.zip 16.74 KB application/zip
georef.zip 4.26 KB application/zip
bin.zip 1.45 KB application/zip
modelgeoref.txt 786 Bytes text/plain

Purpose

The algorithms and data presented in this data release were developed to demonstrate the application of a State-Space (SS) model of one-dimensional vertical infiltration that interprets time-series data for water table altitudes, precipitation, and potential evapotranspiration to estimate and forecast time-varying groundwater recharge. The SS model is coupled with the Kalman Filter to perform the estimation and forecasting of the system states. The SS/KF model of infiltration incorporates preferential and diffuse flow to the groundwater table through the unsaturated zone and demonstrates the estimation of model parameters and the estimation and forecasting of model states using 30-minute and daily time-series records. The development of the model input and output files included in this data release are documented in the journal article available at https://doi.org/10.1029/2020WR029110.
Image of the map location where estimates of groundwater recharge are conducted.
Image of the map location where estimates of groundwater recharge are conducted.

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  • Model Data Management Function (MDMF)

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Provenance

These data were originally released on the Water Mission Area National Spatial Data Infrastructure Node and were migrated to sciencebase.gov in 2023.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9VBR9V8

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