Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

Extraction of Evapotranspiration Data from the OpenET Database


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: 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 
Sharing Status: Public
Views: 1211
Downloads: 253
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

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.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
49.8152°
East Longitude
-94.0430°
South Latitude
25.2922°
West Longitude
-129.1992°

Content

Readme.txt

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.

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

How to Cite

Abualqumboz, M. (2022). Extraction of Evapotranspiration Data from the OpenET Database, HydroShare, http://www.hydroshare.org/resource/9f04f8dd3e42416e91bb1380042bbdc6

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required