U.S. flag An official website of the United States government.
Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

i

Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023



Details

  • Journal Title:
    Scientific Data
  • Personal Author:
  • NOAA Program & Office:
    CISESS (Cooperative Institute for Satellite Earth System Studies)
  • Description:
    Gridded surface air temperature (SAT) data for Antarctica is a crucial foundation for studying climate change in the region. However, significant discrepancies exist between the available Antarctic gridded temperature datasets, particularly regarding the spatial distribution characteristics of long-term temperature trends. In this paper, we develop a new, regularly updated, spatio-temporally complete Antarctic monthly SAT dataset from 1979 onwards, with a spatial resolution of 1° x 1° in latitude and longitude, from multiple sources of in situ observations using deep learning method. Deep learning model was trained with daily SATs from three global reanalysis datasets. The reconstructed Antarctic SATs were successfully validated using data from staffed and automated meteorological stations, demonstrating a closer match with observations, particularly in capturing the patterns of temperature trends. This dataset represents a new advance in the development of Antarctic observational climate dataset and is an important resource that underpins research across diverse scientific disciplines, facilitating a deeper understanding of the Antarctic climate system and its global implications.
  • Source:
    Scientific Data, 12(1)
  • DOI:
  • ISSN:
    2052-4463
  • Format:
    pdf
  • Publisher:
    Springer Science and Business Media LLC
  • Document Type:
    Journal Article
  • License:
  • Rights Information:
    CC BY-NC-ND
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:d0cbcb229d7013dfb6a9a67351cfbb1a2e050297f510e4a70dd6b155897d3392f19a5ec065c53940de63485a96258b8d11debf0b2500537a64e4ce6f82c1d9d5
  • Download URL:
  • File Type:
    Filetype[PDF - 5.72 MB ]
PREVIOUS
ON THIS PAGE
Details
The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.
BACK TO TOP