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Atmospheric Rivers Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, Worldview, and Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) guide users in making the most of atmospheric rivers data.
Atmospheric Rivers Datasets
| Dataset Sort descending | Version | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| HURRICANE AND SEVERE STORM SENTINEL (HS3) GLOBAL HAWK NAVIGATION V1 | 1 | GLOBAL HAWK | GPS, INS | 2012-09-06 to 2014-09-30 |
N: 51.5268 S: 7.55657 E: -19.4239 W: -174.843 |
ASCII - XML | |
| In-situ Air Temperature and Relative Humidity in Greenbelt, MD, 2013-2015 | 1 | FIELD INVESTIGATION | 2013-09-05 to 2015-12-28 |
N: 39 S: 38.9926 E: -76.8401 W: -76.8569 |
CSV | ||
| International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm in Hierarchical Data Format | 1 | GMS-1, GMS-2, GMS-3, GMS-4, GMS-5, GOES-10, GOES-11, GOES-12, INSAT, METEOSAT-2, METEOSAT-3, METEOSAT-4, METEOSAT-5, METEOSAT-6, METEOSAT-7, METEOSAT-8, METEOSAT-9, MTSAT-1R, NOAA-10, NOAA-11, NOAA-12, NOAA-14, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-7, NOAA-8, NOAA-9, GOES-5, GOES-6, GOES-7, GOES-8, GOES-9 | VISSR, GOES I-M Imager, VHRR, NOT APPLICABLE, MVIRI, SEVIRI, JAMI, AVHRR | 1983-07-01 to 2009-12-31 | HDF4 | ||
| International Satellite Cloud Climatology Project (ISCCP) Stage D2 Monthly Cloud Products - Revised Algorithm in Hierarchical Data Format | 1 | GMS-1, GMS-2, GMS-3, GMS-4, GMS-5, GOES-10, GOES-11, GOES-12, INSAT, METEOSAT-2, METEOSAT-3, METEOSAT-4, METEOSAT-5, METEOSAT-6, METEOSAT-7, METEOSAT-8, METEOSAT-9, MTSAT-1R, NOAA-10, NOAA-11, NOAA-12, NOAA-14, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-7, NOAA-8, NOAA-9, GOES-5, GOES-6, GOES-7, GOES-8, GOES-9 | VISSR, GOES I-M Imager, VHRR, NOT APPLICABLE, MVIRI, SEVIRI, JAMI, AVHRR | 1983-07-01 to 2009-12-31 | HDF4 | ||
| International Satellite Cloud Climatology Project (ISCCP) TOVS in Native Data Format | 1 | NOAA-10, NOAA-11, NOAA-12, NOAA-14, NOAA-15, NOAA-16, NOAA-17, NOAA-18, NOAA-7, NOAA-8, NOAA-9 | TOVS | 1980-01-01 to 2009-12-31 | Binary | ||
| ISLSCP II Climate Research Unit CRU05 Monthly Climate Data | 1 | NOT APPLICABLE | NOT APPLICABLE | 1986-01-01 to 1995-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| ISLSCP II CRU05 Climate Time Series for Global Land Areas, 1986-1995 | 1 | NOT APPLICABLE | NOT APPLICABLE | 1986-01-01 to 1995-12-31 |
N: 90 S: -90 E: 180 W: -180 |
multiple | |
| KORUS-AQ Aircraft Merge Data Files | 1 | NASA DC-8 | Computer | 2016-04-24 to 2016-06-21 | ICARTT | ||
| KORUS-AQ DC-8 Aircraft In Situ Meteorological and Navigational Data | 1 | NASA DC-8 | DLH, CLH2, HYGROMETERS, GPS | 2016-04-17 to 2016-06-21 | ICARTT | ||
| KORUS-AQ Miscellaneous Data | 1 | UMD Cessna | GPS, LGR CRDS, TECO 43C, Picarro G2401, AETHALOMETER, PSAP | 2016-04-30 to 2016-06-13 | ICARTT |
SHOWING 10 OF 1007
Featured Atmospheric Rivers Observation Method: VIIRS
The Visible Infrared Imaging Radiometer Suite (VIIRS) instruments are aboard the joint NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA-platforms. The orbits of the platforms make them ideally positioned to observe atmospheric rivers reaching the west coast of North America. The VIIRS instruments include five high-resolution image bands, sixteen moderate-resolution bands, and one unique panchromatic day/night band ultra-sensitive in low-light conditions. The VIIRS instruments build on the heritage of their successful predecessors, the Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Sea-viewing Wide Field-of-view Sensor (SeaWIFS).
The Visible Infrared Imaging Radiometer Suite (VIIRS) will help ensure continuity of Earth observations after the upcoming retirement of the Moderate Resolution Imaging Spectroradiometer (MODIS).
With the eventual retirement of the Terra and Aqua platforms, the Visible Infrared Imaging Radiometer Suite (VIIRS) instruments will take the lead in daily Earth observations.
19 MIN READ
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