Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) for information on this resource.|
|Storage:||The size of this resource is 178.7 KB|
|Created:||Apr 12, 2022 at 6:29 p.m.|
|Last updated:|| Oct 31, 2022 at 6:10 p.m.
|Citation:||See how to cite this resource|
|Content types:||Geographic Feature Content|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
The purpose of this HydroShare resource is to facilitate the extraction of monthly-averaged Evapotranspiration (ET) data from the OpenET database (https://openetdata.org/). This resource could be used to extract ET data at one point using its latitude & longitude. The resource could also be used to have an average ET value at the watershed scale using a shapefile of the watershed of interest.
The OpenET uses the best available science to provide easily accessible satellite-based estimates of evapotranspiration (ET) (https://openetdata.org/about/). The OpenET database provides ET data using the Ensemble method.
This resource includes the following: 1. This readme file 2. A sample watershed (Logan River Watershed located in the north-central part of the US State of Utah) 3. A Jupyter notebook that includes the code for extracting ET data from the OpenET at the watershed's scale Before you run: NOTE_1: The watershed files (.shp, .dbf, .prj and .shx) have always to be nameed "watershed" to be able to run the code. NOTE_2: Choosing small stepsize when creating the matrix of points will create more points and will require a long processing time later (When Extracting ET data). You should choose a suitable stepsize especially if the watershed is large. For the sample watershed used in this resource, you may start with a step size of 0.1 and go smaller. The plots included in assignment8 (CEE 6110 Hydroinformatic) were generated using a stepsize of 0.01. To run this resource: 1. go up to the top right corner and click on "Open with" then click on CUAHSI JupyterHub 2. Choose Pyhton (Which should be first option) 3. You may delete the existing shapefile and upload the watershed of interest 4. You may run the whole code by clicking on Kernel and then "Restart Kernel and Run All". Or you may run the code cell by cell.
Web Map Service
Web Feature Service
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/