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Terrestrial Hydrosphere Data Access and Tools

NASA data examine many characteristics of the liquid and frozen water and the dynamic processes they are part of across Earth’s landscape. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.

Terrestrial Hydrosphere Datasets

Filters
Dataset Sort descending Version Platform Instrument Temporal Extent Spatial Extent Spatial Resolution Data Format
SnowEx17 Ground Penetrating Radar V002 2 GROUND-BASED OBSERVATIONS GPR 2017-02-08 to 2017-02-25

N: 39.11115 S: 38.9935 E: -107.85785 W: -108.22367

ASCII
SnowEx17 Senator Beck SnowMicroPen (SMP) Raw Penetration Force Profiles V001 1 GROUND-BASED OBSERVATIONS SMP 2017-02-06 to 2017-02-20

N: 37.94057 S: 37.85608 E: -107.6725 W: -107.75213

PNG, ASCII
SnowEx20 Boise River Basin SnowMicroPen (SMP) Raw Penetration Force Profiles V001 1 GROUND-BASED OBSERVATIONS SMP 2019-12-18 to 2020-01-24

N: 44.30331 S: 43.75724 E: -115.23445 W: -116.0909

PNG, Binary, CSV
SnowEx20 Grand Mesa Autumn 2019 Snow Depth V001 1 GROUND-BASED OBSERVATIONS MAGNAPROBE 2019-11-04 to 2019-11-07

N: 39.04362 S: 39.00347 E: -108.12935 W: -108.2129

CSV
SnowEx20 Grand Mesa Autumn 2019 Snow Pits V001 1 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2019-11-04 to 2019-11-06

N: 39.04617 S: 39.0083 E: -108.15063 W: -108.20137

JPEG, ASCII, Excel
SnowEx20 Grand Mesa Autumn 2019 Snow Water Equivalent V001 1 GROUND-BASED OBSERVATIONS SWE Sampler 2019-11-03 to 2019-11-06

N: 39.04579 S: 39.00832 E: -108.13324 W: -108.21007

CSV
SnowEx20 Grand Mesa Intensive Observation Period Snow Pit Measurements V001 1 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2020-01-27 to 2020-02-12

N: 39.06532 S: 39.00511 E: -108.11049 W: -108.22839

PDF, JPEG, CSV, Excel
SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR CMP Snow Water Equivalent V001 1 GROUND-BASED OBSERVATIONS GPR 2020-01-31 to 2020-02-01

N: 39.02 S: 39.02 E: -108.19 W: -108.19

,

N: 39.02 S: 39.02 E: -108.19 W: -108.19

PNG, CSV
SnowEx20 Grand Mesa IOP BSU 1 GHz Multi-polarization GPR V001 1 GROUND-BASED OBSERVATIONS GPR 2020-01-28 to 2020-02-04

N: 39.0389 S: 39.00218 E: -108.15976 W: -108.20663

CSV
SnowEx20 Laser Snow Microstructure Specific Surface Area Data V001 1 GROUND-BASED OBSERVATIONS IRIS, IceCube 2020-01-27 to 2020-02-12

N: 39.06417 S: 39.0087 E: -108.00312 W: -108.22143

PNG, CSV
SnowEx20 Raw Near Surface Snow Temperature Profile Time Series V001 1 GROUND-BASED OBSERVATIONS CAMERAS, THERMOMETERS, TIR 2020-02-05 to 2020-02-12

N: 39.03635 S: 39.006 E: -108.17523 W: -108.21563

PNG, JPEG, BMP, Excel, ASCII
SnowEx20 SnowMicroPen (SMP) Raw Penetration Force Profiles V001 1 GROUND-BASED OBSERVATIONS SMP 2020-01-28 to 2020-02-12

N: 39.0541 S: 39.0139 E: -108.003 W: -108.2201

PNG, Binary, CSV
SnowEx20 Time Series Snow Pit Measurements V002 2 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2019-10-24 to 2020-05-20

N: 44.30455 S: 35.85794 E: -105.54616 W: -120.29897

PDF, JPEG, CSV, Excel
SnowEx20 Time Series Snow Pit Measurements V002 2 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2019-10-24 to 2020-05-20

N: 44.30455 S: 35.85794 E: -105.54616 W: -120.29897

PDF, JPEG, CSV, Excel
SnowEx20 Time Series Snow Pit Measurements V002 2 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2019-10-24 to 2020-05-20

N: 44.30455 S: 35.85794 E: -105.54616 W: -120.29897

PDF, JPEG, CSV, Excel
SnowEx21 Time Series Snow Pits V001 1 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, SNOW DENSITY CUTTER, THERMOMETERS 2020-11-16 to 2021-05-27

N: 47.0607 S: 37.9071 E: -105.86093 W: -116.12351

CSV, Excel, JPEG
SnowEx23 Apr23 IOP Snow Pit Measurements V001 1 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2023-04-01 to 2023-04-18

N: 65.16124 S: 63.8631 E: -145.72673 W: -147.72499

CSV
SnowEx23 Mar23 Snow Pit Measurements V001 1 GROUND-BASED OBSERVATIONS A2 Photonic_WISe, GPS, MICROSCOPES, SNOW DENSITY CUTTER, THERMOMETERS 2022-03-07 to 2023-03-16

N: 70.08434 S: 64.69925 E: -147.48583 W: -149.59716

CSV, Excel, JPEG, PDF
SnowEx23 Oct22 IOP Snow Pits and Substrate Conditions at Freeze Up V001 1 GROUND-BASED OBSERVATIONS GPS, MICROSCOPES, SWE Sampler, THERMOMETERS 2022-10-22 to 2022-10-27

N: 70.08434 S: 64.69925 E: -147.48583 W: -149.59716

CSV, Excel, JPEG
Snowmelt Timing Maps Derived from MODIS for North America, Version 2, 2001-2018 2 Terra MODIS 2001-01-01 to 2018-12-31

N: 90 S: 10 E: 0 W: -180

GeoTIFF
Stream Flow Daily Data: USGS (FIFE) 1 SURFACE WATER WEIR STILLING WELL 1979-04-01 to 1988-09-02

N: 40 S: 39 E: -95 W: -97

multiple
Stream Flow Storm Data (FIFE) 1 SURFACE WATER WEIR STILLING WELL 1987-01-01 to 1988-01-01

N: 39.09 S: 39.07 E: -96.56 W: -96.58

CSV
Suomi-NPP VIIRS Level-3 Global Binned Chlorophyll (CHL) - Near Real-time (NRT) Data, version 2022.0 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present

N: 90 S: -90 E: 180 W: -180

netCDF-4
Suomi-NPP VIIRS Level-3 Global Binned Chlorophyll (CHL) Data, version 2022.0 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present

N: 90 S: -90 E: 180 W: -180

netCDF-4
Suomi-NPP VIIRS Level-3 Global Mapped Chlorophyll (CHL) - Near Real-time (NRT) Data, version 2022.0 2022.0 Suomi-NPP VIIRS 2012-01-02 to Present

N: 90 S: -90 E: 180 W: -180

netCDF-4

Terrestrial Hydrosphere Data Tools

Tool Sort descending Description Services
VEDA NASA's Visualization, Exploration, and Data Analysis (VEDA) project is an open-source science cyberinfrastructure for data processing, visualization, exploration, and geographic information systems (GIS) capabilities. Access, Analysis, Processing, Visualization, Geoprocessing
WISP The Water Information from Space (WISP) is an interactive dashboard for displaying satellite hydrology data. Monitoring Natural Events, Visualization
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
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