Description
This data set contains a 12 km resolution, simulated reanalysis of aerosol transport, chemistry, and deposition over the High Mountain Asia (HMA) region for 1 January 2003 through 31 August 2019.
Two-dimensional surface data are provided at one hour intervals. Three-dimensional atmospheric data are provided at three-hour intervals for 35 sigma levels extending from the surface to 50 hPa.
Also known as the Model for Atmospheric Transport and Chemistry in Asia (MATCHA), the data comprise a wide range of variables intended to help assess the impacts of aerosols on the cryosphere in the HMA region, including: concentrations of black/brown carbon and other light absorbing particles (LAPs), broken out by source region; longwave/shortwave heating rates due to LAPs; wet/dry deposition of LAPs; precipitation and hydrological data; and meteorological state variables.
The simulation was generated using a fully coupled, regional chemistry-climate model (WRF-Chem-CLM-SNICAR), constrained by aerosol optical depth (AOD) and carbon monoxide (CO) satellite observations acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) and Measurements Of Pollution In The Troposphere (MOPITT) instruments, respectively.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View documentation related to this dataset | HTML | Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc. | Open resource |
| This dataset's landing page | HTML | Provides access to data, documentation, tools, citation information, support, and other resources. | Open resource |
| Download this dataset | HTML | Direct download via HTTPS protocol. | Open resource |
| Download this dataset | HTML | Search and filter data files using a map-based interface | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | NASA's newest search and order tool for subsetting, reprojecting, and reformatting data. | Open resource |