Modeled Arctic air temperature, humidity and wind, daily
What it measures. Daily modeled conditions of the air just above the Arctic ocean: surface temperature, humidity, and wind.
How it's made. Not measured directly but produced by the SASSIE ECCO ocean model run over the Arctic, which blends observations into a physically consistent simulation on a fine grid.
How & where you'd use it. Used to study the Arctic, especially how melting sea ice affects the ocean's surface, in support of the SASSIE field experiment. Aimed at researchers working with model output.
What's measured
Coverage & cadence
- Time span2014-01-15 → 2021-02-08
- Measured byMITgcm
- Processing levelLevel 4
- FormatsNETCDF4
- StatusCOMPLETE
What you can do with it
- Map air pollutants — NO₂, aerosols, ozone
- Track greenhouse gases and Earth's energy budget
- Feed weather and air-quality analysis
Official description
This dataset provides model-simulated, daily-averaged atmosphere surface temperature, humidity, and winds from the SASSIE ECCO Version 1 Release 1 (V1R1) ocean and sea-ice state estimate. ECCO (Estimating the Circulation and Climate of the Ocean) is a 4D ocean circulation model combining observations with a general circulation model (GCM) to estimate the complete time-evolving state of the global ocean. In this project, it was run over the Arctic polar region in support of the Salinity and Stratification at the Sea Ice Edge (SASSIE) field experiment - a NASA experiment focused on salinity anomalies in the upper ocean generated by melting sea ice. The SASSIE ECCO simulation was produced by downscaling the global ECCO state estimate from 1/3 to 1/12 degree grid cells, where the global solution provided initial and boundary conditions and atmospheric forcing. The output fields for this dataset cover the period 2014-01-15T12:00:00 to 2021-02-07T12:00:00 and are consolidated onto a single curvilinear grid face focusing on the Arctic domain, using the 5 faces of the lat-lon-cap 1080 (llc1080) native grid from the original simulation. Daily files are available in netCDF-4. This dataset is one of 22 produced by SASSIE ECCO - the full list can be found in the user guide. To cite all 22 datasets with a single DOI, please cite the user guide (citation details and DOI can be found within the user guide).
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="SASSIE_ECCO_L4_ATM_STATE_LLC1080GRID_DAILY_V1R1",
version="V1R1",
bounding_box=(-122.5, 37.2, -121.8, 37.9), # your area (W,S,E,N)
temporal=("2024-01-01", "2024-12-31"), # your dates
)
files = earthaccess.open(results) # stream straight from POCLOUD Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package. Official links
- Browse and download granules over HTTPS using the virtual directories GET DATA
- Browse granule search results in Earthdata Search GET DATA
- User Guide VIEW RELATED INFORMATION
- List of variable names and descriptions across PO.DAAC's SASSIE ECCO V1R1 data sets. VIEW RELATED INFORMATION
- Table of all possible SASSIE ECCO MITgcm Model diagnostic variables (familiar to ECCO model users) VIEW RELATED INFORMATION
- Data Use and Citation Guidelines VIEW RELATED INFORMATION
- This dataset can be downloaded using the podaac-data-subscriber (the recommended tool for bulk downloading PO.DAAC data). It is a Python package for downloading one or many files using the command line interface. The URL redirects to the data-subscriber home page with instructions for utilizing the tool. GET DATA
- This dataset can be accessed with the Open-source Project for a Network Data Access Protocol (OPeNDAP) API framework. This service enables variable and dimensional subsetting. The URL redirects to a page with information about utilizing the service. USE SERVICE API