A new compilation of globally gridded night‐time marine air temperatures: The UAHNMATv1 dataset
Abstract
Near-surface air temperature over the oceans is a relatively unused parameter in understanding the current state of climate, but is useful as an independent temperature metric over the oceans and serves as a geographical and physical complement to near-surface air temperature over land. Though one complete version of this dataset exists (HadNMAT2), it has been strongly recommended that various groups generate climate records independently, which is one motivation here. This University of Alabama in Huntsville (UAH) study began with the construction of monthly night-time marine air temperature (UAHNMATv1) values from the early-twentieth century through to the present era using air temperatures on ships. Data from the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3.0 (R3.0) were used to compile a complete time series of gridded UAHNMATv1. The observations required detailed homogenization procedures since there are many biases to account for such as increasing ship height and changing observing practices. The UAHNMATv1 dataset, once homogenized, is gridded to 5.0° monthly anomalies from 1900-2018. This study will present results which quantify the variability and trends and compare to current trends of other related datasets that include HadNMAT2 and sea-surface temperatures (HadISST & ERSSTv4). This new dataset has broad overall agreement both globallymore »
- Authors:
-
[1];
- Earth System Science Center (ESSC)University of Alabama in Huntsville Huntsville Alabama
- Publication Date:
- Research Org.:
- Univ. of Alabama, Huntsville, AL (United States)
- Sponsoring Org.:
- Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
- OSTI Identifier:
- 1573526
- Alternate Identifier(s):
- OSTI ID: 1573527; OSTI ID: 1594092
- Grant/Contract Number:
- SC0019296; SC0005330
- Resource Type:
- Published Article
- Journal Name:
- International Journal of Climatology
- Additional Journal Information:
- Journal Name: International Journal of Climatology; Journal ID: ISSN 0899-8418
- Publisher:
- Royal Meteorological Society
- Country of Publication:
- United Kingdom
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; NMAT; Ocean Temperature Trends; Global Temperature; ICOADS; UAHNMATv1
Citation Formats
Junod, Robert A., and Christy, John R. A new compilation of globally gridded night‐time marine air temperatures: The UAHNMATv1 dataset. United Kingdom: N. p., 2019.
Web. doi:10.1002/joc.6354.
Junod, Robert A., & Christy, John R. A new compilation of globally gridded night‐time marine air temperatures: The UAHNMATv1 dataset. United Kingdom. https://doi.org/10.1002/joc.6354
Junod, Robert A., and Christy, John R. Fri .
"A new compilation of globally gridded night‐time marine air temperatures: The UAHNMATv1 dataset". United Kingdom. https://doi.org/10.1002/joc.6354.
@article{osti_1573526,
title = {A new compilation of globally gridded night‐time marine air temperatures: The UAHNMATv1 dataset},
author = {Junod, Robert A. and Christy, John R.},
abstractNote = {Near-surface air temperature over the oceans is a relatively unused parameter in understanding the current state of climate, but is useful as an independent temperature metric over the oceans and serves as a geographical and physical complement to near-surface air temperature over land. Though one complete version of this dataset exists (HadNMAT2), it has been strongly recommended that various groups generate climate records independently, which is one motivation here. This University of Alabama in Huntsville (UAH) study began with the construction of monthly night-time marine air temperature (UAHNMATv1) values from the early-twentieth century through to the present era using air temperatures on ships. Data from the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3.0 (R3.0) were used to compile a complete time series of gridded UAHNMATv1. The observations required detailed homogenization procedures since there are many biases to account for such as increasing ship height and changing observing practices. The UAHNMATv1 dataset, once homogenized, is gridded to 5.0° monthly anomalies from 1900-2018. This study will present results which quantify the variability and trends and compare to current trends of other related datasets that include HadNMAT2 and sea-surface temperatures (HadISST & ERSSTv4). This new dataset has broad overall agreement both globally and regionally with HadNMAT2, HadISST, and ERSSTv4 datasets.},
doi = {10.1002/joc.6354},
journal = {International Journal of Climatology},
number = ,
volume = ,
place = {United Kingdom},
year = {2019},
month = {11}
}
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