Sea-height signal tracking the Indian Ocean climate pattern
What it measures. A single tracking signal that follows the Indian Ocean Dipole, a climate pattern that shifts weather around the Indian Ocean. It is built from how the sea surface rises and falls over time.
How it's made. Calculated from satellite radar altimeter measurements of sea surface height (from missions like TOPEX/Poseidon, Jason, and Sentinel-6), processed with a statistical method that isolates the dipole's fingerprint.
How & where you'd use it. Lets scientists monitor the state of this climate pattern, which influences rainfall and drought across countries bordering the Indian Ocean.
What's measured
Coverage & cadence
- Time span1993-01-04 → ongoing
- Measured byTOPEX/POSEIDON (SSALT, NRA, TMR) · JASON-1 (POSEIDON-2, JASON-1 Microwave Radiometer) · OSTM/JASON-2 (POSEIDON-3, AMR) · JASON-3 (POSEIDON-3B, AMR-2) · Sentinel-6A (Poseidon-4 Radar Altimeter, AMR-C)
- Processing levelLevel 4
- Spatial extent-180, -66, 180, 66
- FormatsASCII
- StatusACTIVE
What you can do with it
- Watch sea-surface temperature and marine heatwaves
- Spot algal blooms and ocean-colour shifts
- Support fisheries and coastal monitoring
Official description
This file contains an indicator for the Indian Ocean Dipole (IOD), based on satellite observations of sea surface height anomaly, measured by radar altimeter missions such as TOPEX/Poseidon, the Jason series, and Sentinel-6. The indicator values were calculated using NASA-SSH Simple Gridded Sea Surface Height from Standardized Reference Missions Only Version 1 https://podaac.jpl.nasa.gov/dataset/NASA_SSH_REF_SIMPLE_GRID_V1 . Indicator values were calculated using cyclostationary empirical orthogonal functions (CSEOFs; Kim et al., 2015) computed by decomposing the gridded sea surface height anomalies over the time period from 1993 to 2019. After removing the linear trend from each individual gridded location, three sets of regional CSEOFs were generated, one each for the El Nino-Southern Oscillation (ENSO), the Pacific Decadal Oscillation (PDO) and (IOD). In each case, the dominant statistical mode represents the seasonal cycle. The second most dominant mode represents the variability explained by each respective indicator and is referred to as the “indicator mode”. The seasonal mode and indicator mode are then projected onto the along-track sea surface height anomalies to produce the indicator time series through the most current date. In this case, the IOD mode was used to produce the time series contained in this file. The file with the filename "NASA_SSH_IOD_INDICATOR.txt" is always the most up-to-date time series containing the most recent data.
Get the data
import earthaccess
earthaccess.login(strategy="netrc") # free Earthdata Login
results = earthaccess.search_data(
short_name="NASA_SSH_IOD_INDICATOR",
version="1",
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
- Search Granules GET DATA
- Browse Granule Listing GET DATA
- User Guide VIEW RELATED INFORMATION
- NASA-SSH Project Landing Page VIEW RELATED INFORMATION
- PO.DAAC Forum Page 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