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Type: | Resource | |
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Created: | Mar 18, 2024 at 7:24 p.m. | |
Last updated: | Oct 10, 2024 at 5:56 p.m. | |
Citation: | See how to cite this resource | |
Content types: | Geographic Feature Content |
Sharing Status: | Public |
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Abstract
This HydroShare resource provides Jupyter Notebooks with instructions and code for accessing and subsetting the NOAA Analysis of Record for Calibration (AORC) Dataset. There are two Jupyter Notebooks
1. AORC_Point_Data_Retrieval.ipynb
2. AORC_Zone_Data_Retrieval.ipynb
The first retrieves data for a point in the area of the US covered, specified using geographic coordinates. The second retrieves data for areas specified via an uploaded polygon shapefile.
These notebooks programmatically retrieve the data from Amazon Web Services (https://registry.opendata.aws/noaa-nws-aorc/), and in the case of shapefile data retrieval average the data over the shapes in the given shapefile.
The notebooks provided are coded to retrieve data from AORC version 1.1 released in ZARR format in December 2023.
The Analysis Of Record for Calibration (AORC) is a gridded record of near-surface weather conditions covering the continental United States and Alaska and their hydrologically contributing areas (https://registry.opendata.aws/noaa-nws-aorc/). It is defined on a latitude/longitude spatial grid with a mesh length of 30 arc seconds (~800 m), and a temporal resolution of one hour. Elements include hourly total precipitation, temperature, specific humidity, terrain-level pressure, downward longwave and shortwave radiation, and west-east and south-north wind components. It spans the period from 1979 across the Continental U.S. (CONUS) and from 1981 across Alaska, to the near-present (at all locations). This suite of eight variables is sufficient to drive most land-surface and hydrologic models and is used as input to the National Water Model (NWM) retrospective simulation. While the original NOAA process generated AORC data in netCDF format, the data has been post-processed to create a cloud optimized Zarr formatted equivalent that NOAA also disseminates.
Subject Keywords
Coverage
Spatial
Temporal
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Content
README.txt
Jupyter Notebooks for the Retrieval of AORC Data for Hydrologic Analysis This resource contains the following Jupyter Notebooks and python files with functions called by the notebooks. AORC_Point_Data_Retrieval.ipynb AORC_Zone_Data_Retrieval.ipynb This resource is designed to be opened from a JupyterHub platform connected to CUAHSI HydroShare and has been tested using CUAHSI JupyterHub, CyberGIS-Jupyter for Water and CIROH JupyterHub. At this resource in HydroShare use Open With on any of these application servers to launch into the respective JupyterHub environment. Then open the Jupyter Notebook for the format of the data you wish to retrieve and follow the instructions it contains.
Data Services
Related Resources
The content of this resource is derived from | Parts of this are derived from https://github.com/CUAHSI/notebooks/blob/main/data-processing/aorc/collect-aorc-v1.1.ipynb |
Title | Owners | Sharing Status | My Permission |
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Hydrological Data Retrieval Using CIROH JupyterHUB | Ayman Nassar · David Tarboton | Public & Shareable | Open Access |
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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National Oceanic and Atmospheric Administration (NOAA), University of Alabama | CIROH: Enabling collaboration through data and model sharing with CUAHSI HydroShare | NA22NWS4320003 to University of Alabama, subaward A23-0266-S001 to Utah State University |
National Science Foundation | HDR Institute: Geospatial Understanding through an Integrative Discovery Environment | 2118329 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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