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This HydroShare resource contains Jupyter Notebooks with instructions and code for accessing and subsetting the NOAA Analysis of Record for Calibration (AORC) dataset. The resource includes two Jupyter Notebooks: 1. AORC_Point_Data_Retrieval.ipynb: Retrieves data for a specific point within the U.S. AORC coverage area, specified using geographic coordinates. 2. AORC_Zone_Data_Retrieval.ipynb: Retrieves data for an area defined by an uploaded polygon shapefile. These notebooks programmatically retrieve the data from Amazon Web Services (https://registry.opendata.aws/noaa-nws-aorc/) , aggregate data at user-defined time scales (which may differ from NOAA’s original time steps), and, in the case of shapefile-based data retrieval, compute the average over the shapes in the given shapefile. The provided notebooks 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.
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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
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