Published January 14, 2025
| Version v1.01
Dataset
Open
Monthly and Annual US TROPOMI Surface NO2 Estimates (~1km × 1km)
Description
Estimate of surface-level nitrogen dioxide (NO2) concentrations for the continental US at ~ 1km × 1km derived from TROPOMI data from a land-use regression model. The development of this dataset is documented in a manuscript in ES&T Air by Nawaz et al. and was originally developed for a time period of 2019-2022. This dataset estimates surface-level NO2 by combining satellite derived data (TROPOMI) with OpenStreetMaps and Google Earth Engine land-use information and ERA5 meteorology reanalysis data. This is version 1.01. (2024-12-30)
Files
Files
(3.0 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:308d5af8e343f465f6183d8c584c709f
|
112.8 MB | Download |
|
md5:7b9f97c4c953cbe8c249a8a62efee4b9
|
112.8 MB | Download |
|
md5:9e33f4c043d48eb44967006e540e0c32
|
112.8 MB | Download |
|
md5:6b73f2484ae3dd463e4614b78f09b989
|
112.8 MB | Download |
|
md5:3fe61d2c090e80daa6cfdfdc9ef544cb
|
52.7 MB | Download |
|
md5:737984247b0063345b5cf9e4be7c0bac
|
53.0 MB | Download |
|
md5:feb3e3a7edc3425a9f60da8e7e71c51b
|
52.9 MB | Download |
|
md5:e96b0583dec069b93fa3c395a641fbac
|
53.0 MB | Download |
|
md5:d373d6b3d969b372d252006d51308a53
|
52.9 MB | Download |
|
md5:8a7b504cc1028b864c8559a0c042eda5
|
52.6 MB | Download |
|
md5:ab9bc196db5a2c0f21bfcf4c8a663d10
|
52.7 MB | Download |
|
md5:4505f5ce71d12803238eec2933becaa2
|
52.7 MB | Download |
|
md5:488defb843ee0e21e8d43d2953572f7d
|
52.8 MB | Download |
|
md5:aa25aef2f15b69220edd4e937c323a92
|
53.0 MB | Download |
|
md5:df5cb4c3fa64f5222b1a5a6bf1ebdc19
|
53.3 MB | Download |
|
md5:8b8cb6a2ad500514edab7855f75bf8ba
|
53.1 MB | Download |
|
md5:3a67d9427bcea37fdf13c8c51660a949
|
52.6 MB | Download |
|
md5:0d4659f362884a1541424ca7c60aa301
|
53.1 MB | Download |
|
md5:f1ca27d4a752526655529e28c3cca57e
|
53.0 MB | Download |
|
md5:3236ab87951f2074bd16e58004c11fe9
|
53.0 MB | Download |
|
md5:909f5462f2936a4145a113213228d6ae
|
52.6 MB | Download |
|
md5:f6f9ec84cd5b251fc9b5017784095457
|
52.8 MB | Download |
|
md5:549f3bfdd7e24de80e5b33d6cf05b18e
|
52.9 MB | Download |
|
md5:4bc5f3394d1ad77cf2995df1391fb40d
|
52.8 MB | Download |
|
md5:ebd00a0155c83a2d3381ece221bfc2aa
|
52.6 MB | Download |
|
md5:95ef0c61bca940797d7bb6987279a898
|
53.0 MB | Download |
|
md5:ce7afc90d37fdaf159ec209b9e6b7e48
|
53.4 MB | Download |
|
md5:bc131160aba8ea3cf49e3b14811dbef8
|
53.3 MB | Download |
|
md5:08c5ff3f7428fd5a7b2702d5471b7bd8
|
52.8 MB | Download |
|
md5:8a50f62e220dfb57521cf6bc2a4b28e0
|
52.9 MB | Download |
|
md5:aeaddec52d524afd72214de3bbb1e220
|
54.0 MB | Download |
|
md5:c16935f20c4782f1d9feaa945acd3364
|
53.6 MB | Download |
|
md5:2c063bea82bd82bf1d0604430a2f304a
|
53.1 MB | Download |
|
md5:97b5507ee23043de04226d738eb646d4
|
53.5 MB | Download |
|
md5:4aac8c2c74ebe48797b89b636b7f292a
|
53.5 MB | Download |
|
md5:4c49b867eaf97d3aa017d4a82cc03295
|
53.9 MB | Download |
|
md5:4c3333ac47d16e6d5a0cf59447a473f4
|
53.4 MB | Download |
|
md5:92c3eacdd80fbfcb53ddcb11af32e2cb
|
53.1 MB | Download |
|
md5:7d6ffd8467962f0c41e7bd8a5066ef64
|
53.4 MB | Download |
|
md5:e730eab27047e96b62627edee591a5c8
|
53.8 MB | Download |
|
md5:0c79d7ea726baa645f5c9201c9c95b9f
|
52.9 MB | Download |
|
md5:59e3143847d12be081cf107eff916e27
|
53.3 MB | Download |
|
md5:184bb6c2dc6c45d5927fe3957d4d7469
|
53.4 MB | Download |
|
md5:ee1e9acab892a09b137318a0c1f48557
|
53.6 MB | Download |
|
md5:b652151872c1049ab255dd9aca4c95d7
|
53.8 MB | Download |
|
md5:6452438fe233db4fc51af12d060b5f47
|
53.4 MB | Download |
|
md5:54a7173caf65ad0d5ceb1dc9f54a7927
|
53.6 MB | Download |
|
md5:1f290a5d2f6cda12fe179e07f87e8d57
|
53.3 MB | Download |
|
md5:a3c15bd72756899bfc1a78121a35c199
|
52.8 MB | Download |
|
md5:f70278d24390d41252cea4c6b6c572ba
|
52.1 MB | Download |
|
md5:d9008b448de9b7bce1dbcd0c0ddbda46
|
52.9 MB | Download |
|
md5:97922c4eee153fb4ee45c8a3c622f57b
|
53.0 MB | Download |
Additional details
Related works
- Is cited by
- Publication: 10.1021/acsestair.4c00153 (DOI)
Dates
- Accepted
-
2025-01-10