ABSTRACT:

This dataset was prepared for a groundwater study centered in the California's Central Valley (CV). We estimate long-term groundwater storage loss in the CV with a novel data imputation method that uses in situ data combined with globally available Earth Observations - the Palmer Drought Severity Index (PDSI), and the Global Land Data Assimilation System (GLDAS) - to generate temporally- and spatially-interpolated groundwater elevations which we combine with storage coefficient maps to produce computed volume changes over time for the valley. We compare our results to groundwater storage changes we calculated using Gravity Recovery and Climate Experiment (GRACE) mission data and show that the two storage estimates are significantly correlated.

ABSTRACT:

This resource contains groundwater data from Niger in the Maradi region, spanning the years 2015 to 2019. Collectively, the data includes groundwater well data describing both groundwater levels and quality. Groundwater levels during November 2018 are interpolated across the area of interest.

There are 6 files in the resource: two csv files, one png file, one GeoTIFF file, and two shapefiles. The csv files describe the metadata for the wells in the region and the actual time series measurements, including Water Table Elevation (WTE, in meters above sea level), water temperatures (in °C), Conductivity, and pH. There are also supplemental files that define the administrative regions and aquifers. The GeoTIFF file describes an interpolated layer of WTE during November 2018. A png file shows the locations of the wells.

ABSTRACT:

This dataset contains a Points shapefile of cities that are personally significant to me and a polygon shapefile of countries that I have stepped foot in. It is for a WMS project in CE En 514 at BYU, taught by Dr. Dan Ames.