Published October 14, 2022 | Version 0.1
Dataset Open

Internal variability and forcing influence model-satellite differences in the rate of tropical tropospheric warming

  • 1. Lawrence Livermore National Laboratory, Livermore, CA, USA
  • 2. National Center for Atmospheric Research, Boulder, CO 80305, USA
  • 3. College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
  • 4. Department of Atmospheric Science, Colorado State University, Fort Collins, CO, USA
  • 5. Joint Institute for Regional Earth System Science & Engineering, University of California – Los Angeles, Los Angeles, CA, USA

Description

This dataset contains simulated and observed maps of surface temperature change over the satellite-era and domain averaged trends of tropospheric warming. The data accompanies software that was used to disentangle the forced and unforced components of tropical tropospheric temperature change. This work was documented in:

Po-Chedley, S., J.T. Fasullo, N. Siler, Z.M. Labe, E.A. Barnes, C.J.W. Bonfils, B.D. Santer (2022): "Internal variability and forcing influence model-satellite differences in the rate of tropical tropospheric warming," Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.2209431.

The software is available at: https://github.com/LLNL/MDAS

Files

CC Attribution 4.0 Intl Public License.pdf

Files (1.9 GB)

Name Size Download all
md5:c4ab9a227d717ad9d982c1cf9ebc2f17
68.9 kB Preview Download
md5:eea2e3693d808389a5258ab83984e3b9
27.2 kB Preview Download
md5:0efaca213f1b091f29d247537523c0f2
1.9 GB Preview Download
md5:ef2aab88789450059b9575d4ec8eed06
10.8 kB Download

Additional details

Related works

Is documented by
Journal article: 10.1073/pnas.2209431 (DOI)