Data for Delta Consumptive Use Comparative Study

Year
2018

Datasets

This page contains summary export data used in the preparation of the 2018 Delta Consumptive Water Use Study Report.

There are three primary types of data linked here:

  • Spatial (12-band raster) data for monthly model estimates of evapotranspiration (ET). Bands represent months of the water year, starting with October. Units in 10th mm/day.
  • Spatial (12-band raster) data for monthly model estimates of ETo. Bands represent months of the water year, starting with October. Units in 10th mm.
  • Tabular summaries of the spatial data processed in Google Earth Engine, used to create report figures.

In addition, we expect to add land use and field data in the near future.

Each model's ETa is included in this folder, but not all models had their own ETo. Most used the included Spatial CIMIS ETo
for the purposes of this study. In the case of DisALEXI, ETo is a derived product from the model, and it is included here.
Most models produced estimates of evapotranspiration either daily or on the dates that Landsat passed over the study area.
In this study, monthly data were compiled when daily or Landsat overpass date data were provided.

 

CalSIMETAW

DETAW

DisALEXI

ITRC-METRIC

SIMS

UCD-METRIC

UCD-PT

Processed Model Data in Tabular Form

Boundaries

Spatial CIMIS Reference Data

Field Data (Link to Box folder)

Land Use Data

The land use data used for this project was provided by LandIQ. Those interested in utilizing this data should contact LandIQ directly, or the California Department of Water Resources, which is responsible for the release of this dataset in relation to this project. Our contract does not allow us to release LandIQ data ourselves.

Code for graphs and figures

The code for generating graphs and creating map figures in the report is available on GitHub in two repositories:

  • ssj-graphs-r - generates figures from Earth Engine exports. Information on how to use it is in the README.
  • ssj-data-viz - used to compare models spatially and create figures showing the variance between models in 2015 and 2016.
  • ssj-earth-engine - Code involved in the processing of the input data into the monthly rasters and the generation of the tabular data

Questions on the code or data should be directed to Nick Santos at the Center for Watershed Sciences

Resource Type