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Atmospheric Winds Data Access and Tools
NASA’s atmospheric wind data range from hourly primary forcing measurements to inter-related suites of atmospheric wind and other data. Our datasets and tools help users find and integrate the information they need to see how this primary weather force effects our lives and planet.
Atmospheric Winds Datasets
| Dataset | Version Sort ascending | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| MetOp-A ASCAT ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1 | 1.1 | MODELS, METOP-A | Computer, ASCAT | 2007-01-01 to 2014-04-01 |
N: 90 S: -90 E: 180 W: -180 |
12.5 Kilometers x 12.5 Kilometers | netCDF-4 |
| SPURS-2 Saildrone data for the E. Tropical Pacific field campaign | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, FLUOROMETERS, ANEMOMETERS, BAROMETERS | 2017-10-16 to 2017-11-17 |
N: 10.9 S: 8.5 E: -124.5 W: -125 |
1 Meters x 1 Meters | netCDF-4 |
| SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Interim Data Product, Version 1.0 | 1.0 | SWOT | AMR | 2022-12-16 |
N: 77.6 S: -77.6 E: 180 W: -180 |
netCDF-4 | |
| SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product, Version 1.0 | 1.0 | SWOT | AMR | 2022-12-16 |
N: 77.6 S: -77.6 E: 180 W: -180 |
netCDF-4 | |
| Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, ANEMOMETERS, FLUOROMETERS, BAROMETERS | 2019-05-14 to 2019-10-11 |
N: 75.5 S: 53.8 E: -146.1 W: -168.7 |
netCDF-4 | |
| Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, ANEMOMETERS, FLUOROMETERS, BAROMETERS | 2020-01-17 to 2020-03-02 |
N: 12.1 S: 7.4 E: -48.6 W: -59.4 |
netCDF-4 | |
| SPURS-2 Rawinsonde meteorological data for the E. Tropical Pacific field campaign R/V Revelle cruises | 1.0 | RAWINSONDES | WIND PROFILERS, TEMPERATURE SENSORS, HUMIDITY SENSORS | 2016-08-20 to 2017-11-10 |
N: 12.35 S: 5.139 E: -123.32 W: -133.216 |
1 Meters x 1 Meters | netCDF-4 |
| BOREAS Derived Surface Meteorological Data | 1 | FIXED OBSERVATION STATIONS, METEOROLOGICAL STATIONS | THERMOCOUPLES, HUMIDITY SENSORS, WIND MONITOR, BAROMETERS, NET RADIOMETERS, PYRANOMETERS, RAIN GAUGES, ULTRASONIC DEPTH GAUGE, INFRARED THERMOMETERS, Pyrgeometer, LICOR QUANTUM SENSOR | 1994-01-01 to 1996-12-31 |
N: 56.25 S: 53.42 E: -97.23 W: -106.32 |
ASCII | |
| Site Averaged AMS Data: 1988 (Betts) | 1 | METEOROLOGICAL STATIONS | THERMOMETERS, BAROMETERS, NET RADIOMETERS, RAIN GAUGES, PYRANOMETERS, ANEMOMETERS | 1988-01-01 to 1988-12-31 |
N: 39.1161 S: 38.9753 E: -96.447 W: -96.611 |
CSV | |
| First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Oceanus Radiosonde Data | 1 | Ships | RADIOSONDES | 1992-06-03 to 1992-06-23 | ASCII |
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Featured Atmospheric Winds Observation Method: MODIS
The Moderate Resolution Imaging Spectroradiometer (MODIS) flies aboard the Terra and Aqua satellites and surveys Earth every one to two days. The multi-spectral instrument can be used in a variety of ways including detecting winds in different levels of the atmosphere.
Scientists develop routine service for wildfire detection in the continental United States with a latency of less than 60 seconds.
6 MIN READ
Join us to learn how to discover, subset, access and visualize both MODIS and VIIRS data products using a suite of user-friendly tools developed by NASA's ORNL DAAC.
MODIS Terra Collection 6 Aerosol, Cloud, and other Atmospheric Level-2 and Level-3 Data
Learn how to access and use Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 land data.
Atmospheric Winds Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
SHOWING 1 OF 1
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