| dataFormat | NetCDF |
| authority | edu.ucar.gdex |
| featureType | GRID |
| dataSize | 947445 |
| id | files/d315001/INVARIANT/LatLon.regrid.442x265.nc |
Dataset: LatLon.regrid.442x265.nc
Catalog: /thredds/catalog/files/d315001/INVARIANT/catalog.html
Access:
| Service | Type | Description |
|---|---|---|
| OpenDAP | Data Access | Access dataset through OPeNDAP using the DAP2 protocol. |
| NetcdfSubset | Data Access | A web service for subsetting CDM scientific grid datasets. |
| CdmRemote | Data Access | Provides index subsetting on remote CDM datasets, using ncstream. |
| CdmrFeature | Data Access | Provides coordinate subsetting on remote CDM Feature Datasets, using ncstream. |
| WCS | Data Access | Supports access to geospatial data as 'coverages'. |
| WMS | Data Access | Supports access to georegistered map images from geoscience datasets. |
| HTTPServer | Data Access | HTTP file download. |
| ISO | Metadata | Provide ISO 19115 metadata representation of a dataset's structure and metadata. |
| NCML | Metadata | Provide NCML representation of a dataset. |
| UDDC | Metadata | An evaluation of how well the metadata contained in the dataset conforms to the NetCDF Attribute Convention for Data Discovery (NACDD) |
Viewers:
| Viewer | Type | Description |
|---|---|---|
| Godiva3 | Browser | |
| default_viewer.ipynb | Jupyter Notebook | The TDS default viewer attempts to plot any Variable contained in the Dataset. |
Description:
- Rights: Freely Available
- summary: In this study, we compare the performance of the analysis time series over the period of August 2020 to December 2021 at EPA AirNow stations for both PM2.5 and O3 from raw Copernicus Atmosphere Monitoring Service (CAMS) reanalyses (CAMS RA Raw), raw CAMS near real-time forecasts (CAMS FC Raw), raw near real-time Community Multi-scale Air Quality (CMAQ) forecasts (CMAQ FC Raw), bias-corrected CAMS forecasts (CAMS FC BC), and bias-corrected CMAQ forecasts (CMAQ FC BC). This 17-month period spans two wildfire seasons, to assess model analysis performance in high-end AQ events. In addition to determining the best-performing gridded product, this process allows us to benchmark the performance of CMAQ forecasts against other global datasets (CAMS reanalysis and forecasts). For both PM2.5 and O3, the bias correction algorithm employed here greatly improved upon the raw model time series, and CMAQ FC BC was the best-performing model analysis time series, having the lowest RMSE, smallest bias error, and largest critical success index at multiple thresholds.
- NCAR GDEX - Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS)(d315001)
Dates:
- modified : 2024-08-26T16:23:39.890Z
Publishers:
-
NCAR/GDEX
- email: datahelp@ucar.edu
- http://gdex.ucar.edu/