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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 Sort descending | Version | Platform | Instrument | 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 | |
| Hurricane and Severe Storm Sentinel (HS3) Global Modeling and Assimilation Office (GMAO) Dust Aerosol Optical Thickness Imagery V1 | 1 | MODELS | Computer | 2014-08-11 to 2014-10-05 |
N: 50 S: -10 E: 0 W: -111 |
PNG | |
| Hurricane and Severe Storm Sentinel (HS3) Statistical Hurricane Intensity Prediction Scheme (SHIPS) Intensity V1 | 1 | GOES-15, GROUND STATIONS | GOES-15 Imager, RAWINSONDES | 2014-03-18 to 2014-09-30 |
N: 44.51 S: 7.19 E: -14.99 W: -179.11 |
ASCII | |
| ISLSCP II ECMWF Near-Surface Meteorology Parameters | 1 | NOT APPLICABLE | NOT APPLICABLE | 1985-01-01 to 1998-12-31 |
N: 90 S: -90 E: 180 W: -180 |
ASCII Grid | |
| ISLSCP II Reanalysis Near-Surface Meteorology Data | 1 | NOT APPLICABLE | NOT APPLICABLE | 1986-01-01 to 1995-12-31 |
N: 90 S: -90 E: 180 W: -180 |
ASCII Grid | |
| 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 | ||
| KORUS-AQ Ozonesonde Data | 1 | GROUND STATIONS | OZONESONDES | 2016-04-28 to 2016-06-12 | ICARTT | ||
| KORUS-AQ Research Vessel (R/V) JangMok Ship Data | 1 | R/V JangMok | Thermo Scientific Ozone Analyzer, Thermo Scientific NOx Analyzer, Thermo Scientific CO Analyzer, Thermo Scientific SO2 43i Analyzer, WIND MONITOR, GPS | 2016-05-20 to 2016-06-06 | ICARTT | ||
| KORUS-AQ Research Vessel (R/V) Onnuri Ship Data | 1 | R/V ONNURI | SpEx, AMS, SUN PHOTOMETERS, GAS SENSORS | 2016-05-16 to 2016-06-05 | ICARTT | ||
| Land Surface Atmospheric Boundary Interaction Product L3 V1(LANDMET) at GES DISC | 1 | LANDMET | NOT APPLICABLE | 1998-01-01 to 2007-12-31 |
N: 90 S: -90 E: 180 W: -180 |
1 Kilometers x 1 Kilometers | |
| LBA-ECO CD-01 Meteorological Data, Tapajos and Amazon Rivers, Santarem, Brazil: 2001 | 1 | GOES-8, WEATHER STATIONS, BALLOONS | GOES-8 Imager, SODAR, WIND MONITOR, RADIOSONDES | 2001-06-01 to 2001-08-16 |
N: -2.43 S: -2.78 E: -54.72 W: -55.17 |
CSV | |
| LBA-ECO CD-01 Simulated Atmospheric Circulation, CO2 Variation, Tapajos: August 2001 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2001-08-01 to 2001-08-16 |
N: -2.204 S: -3.069 E: -54.558 W: -55.424 |
netCDF-3 | |
| LBA-ECO CD-03 Flux-Meteorological Data, km 77 Pasture Site, Para, Brazil: 2000-2005 | 1 | NOT APPLICABLE | NOT APPLICABLE | 2000-09-01 to 2006-01-01 |
N: -3.0202 S: -3.0202 E: -54.8942 W: -54.8942 |
CSV | |
| LBA-ECO CD-03 Mesoscale Meteorological Data, Santarem Region, Para, Brazil: 1998-2006 | 1 | METEOROLOGICAL STATIONS | THERMISTORS, TDR, RAIN GAUGES, PRESSURE PROBE, WIND VANES, PYRANOMETERS, HUMIDITY SENSORS, ANEMOMETERS, THERMOMETERS | 1998-08-20 to 2006-12-31 |
N: -3.3502 S: -3.3502 E: -54.924 W: -54.924 |
CSV | |
| LBA-ECO CD-04 CO2 and Heat Flux, km 83 Gap Tower Site, Tapajos National Forest | 1 | FIXED OBSERVATION STATIONS | SONIC ANEMOMETER, TEMPERATURE SENSORS, IRGA | 2002-06-03 to 2004-01-30 |
N: -3.017 S: -3.017 E: -54.9707 W: -54.9707 |
CSV | |
| LBA-ECO CD-04 Meteorological and Flux Data, km 83 Tower Site, Tapajos National Forest | 1 | FIXED OBSERVATION STATIONS, FIELD INVESTIGATION | SONIC ANEMOMETER, IRGA, PYRANOMETERS, RAIN GAUGES, LICOR QUANTUM SENSOR, NET RADIOMETERS, TEMPERATURE SENSORS, SOIL MOISTURE PROBE, THERMOCOUPLES | 2000-07-01 to 2004-03-12 |
N: -3.017 S: -3.017 E: -54.9707 W: -54.9707 |
CSV | |
| LBA-ECO CD-10 CO, CO2 and Meteorological Data, Maxaranguape, Brazil | 1 | METEOROLOGICAL STATIONS, FIXED OBSERVATION STATIONS | TEMPERATURE SENSORS, ANEMOMETERS, GAS CORRELATION FILTERS, IRGA | 2003-01-04 to 2006-12-27 |
N: -5.496 S: -5.496 E: -35.2605 W: -35.2605 |
CSV | |
| LBA-ECO CD-10 CO2 and H2O Eddy Flux Data at km 67 Tower Site, Tapajos National Forest | 1 | METEOROLOGICAL STATIONS, FIXED OBSERVATION STATIONS | RADIOMETERS, RAIN GAUGES, EDDY CORRELATION DEVICES, IRGA, SONIC ANEMOMETER | 2002-01-01 to 2006-01-18 |
N: -2.857 S: -2.857 E: -54.959 W: -54.959 |
Text File | |
| LBA-ECO CD-32 Flux Tower Network Data Compilation, Brazilian Amazon: 1999-2006, V2 | 2 | METEOROLOGICAL STATIONS | ANEMOMETERS, IRGA, PYRANOMETERS | 1999-01-01 to 2006-12-31 |
N: -1.74 S: -21.62 E: -47.65 W: -62.36 |
Text File | |
| LBA-ECO CD-32 LBA Model Intercomparison Project (LBA-MIP) Forcing Data | 1 | FIXED OBSERVATION STATIONS | PYRRADIOMETERS, ANEMOMETERS | 1999-01-01 to 2006-12-31 |
N: -1.7483 S: -21.6195 E: -47.6499 W: -62.3572 |
Shapefile | |
| LBA-ECO LC-15 Aerodynamic Roughness Maps of Vegetation Canopies, Amazon Basin: 2000 | 1 | OV-105, JERS-1, COMPUTERS | SRTM, SAR, Computer | 2000-02-11 to 2000-02-22 |
N: 13.8583 S: -23.4268 E: -47.0231 W: -82.7208 |
GeoTIFF | |
| LISTOS Bayonne Ground Site Data | 1 | GROUND STATIONS | GAS SENSORS | 2018-06-01 to 2019-05-23 | ICARTT | ||
| LISTOS Bronx Pfizer Ground Site Data | 1 | GROUND STATIONS | HPLC, GAS SENSORS | 2018-01-01 to 2018-11-13 | ICARTT |
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
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