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Related Concept Videos

Global Climate Change01:50

Global Climate Change

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Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
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A thermometer measures body temperature. The common sites for measuring body temperature are the oral cavity, axillary region, temporal artery, and skin surface, such as the forehead, abdomen, and axilla. True core body temperature is assessed in the rectum, tympanic membrane, pulmonary artery, esophagus, and urinary bladder.
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Updated: Oct 30, 2025

Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
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IASI-Derived Sea Surface Temperature Data Set for Climate Studies.

Ana C Parracho1, Sarah Safieddine1, Olivier Lezeaux2

  • 1LATMOS/IPSL UVSQ CNRS Sorbonne Université Paris France.

Earth and Space Science (Hoboken, N.J.)
|July 5, 2021
PubMed
Summary

A new homogeneous sea surface temperature (SST) dataset from the Infrared Atmospheric Sounding Interferometer (IASI) satellite shows excellent agreement with reanalysis data. This IASI SST dataset is suitable for climate studies, capturing variability and trends effectively.

Keywords:
IASIclimate dataclimate trendsremote sensingsatellite datasea surface temperature

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Area of Science:

  • Climate Science
  • Remote Sensing
  • Oceanography

Background:

  • Sea surface temperature (SST) is a critical climate variable for monitoring global climate.
  • Satellite-derived SST datasets are valuable for global coverage but achieving long-term homogeneity from a single instrument remains a challenge.

Purpose of the Study:

  • To assess a homogeneous SST dataset derived from reprocessed Infrared Atmospheric Sounding Interferometer (IASI) level-1 radiance data.
  • To evaluate the suitability of this IASI-derived SST dataset for climate studies.

Main Methods:

  • SST computation using Planck's Law and atmospheric corrections on IASI L1C radiance data.
  • Validation against ERA5 reanalysis and EUMETSAT's IASI level-2 SST product.
  • Comparison of interannual variability and trends with ERA5, HadISST, and OISSTv2 datasets.

Main Results:

  • Reprocessed IASI SST shows a near-zero global difference with ERA5, with a mean absolute bias <0.5°C and correlation >0.99.
  • The dataset exhibits stable bias and standard deviation, crucial for climate studies.
  • IASI SST successfully captures patterns of interannual variability, including El Niño Southern Oscillation, and reproduces known trend patterns like North Atlantic cooling and Mediterranean warming.

Conclusions:

  • The reprocessed IASI SST dataset provides a homogeneous and stable record suitable for climate monitoring and research.
  • This dataset demonstrates its capability in capturing key climate variability modes and long-term trends, complementing existing SST products.