Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations
The tropospheric and stratospheric temperature trends and uncertainties in the fifth Coupled Model Intercomparison Project (CMIP5) model simulations in the period of 1979–2005 have been compared with satellite observations. The satellite data include those from the Stratospheric Sounding Units (SSU)...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/8/1/13 |
id |
doaj-ae28948e4e3e46a0a7dda3a8131e2d18 |
---|---|
record_format |
Article |
spelling |
doaj-ae28948e4e3e46a0a7dda3a8131e2d182020-11-24T22:53:20ZengMDPI AGRemote Sensing2072-42922015-12-01811310.3390/rs8010013rs8010013Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 SimulationsLilong Zhao0Jianjun Xu1Alfred M. Powell2Zhihong Jiang3Donghai Wang4Key Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Najing 210044, ChinaGlobal Environment and Natural Resources Institute (GENRI), College of Science, George Mason University, Fairfax, WV 22030, USANOAA/NESDIS/STAR, College Park, ML 20740, USAKey Laboratory of Meteorological Disaster of Ministry of Education, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Najing 210044, ChinaChina State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences, Beijing 100081, ChinaThe tropospheric and stratospheric temperature trends and uncertainties in the fifth Coupled Model Intercomparison Project (CMIP5) model simulations in the period of 1979–2005 have been compared with satellite observations. The satellite data include those from the Stratospheric Sounding Units (SSU), Microwave Sounding Units (MSU), and the Advanced Microwave Sounding Unit-A (AMSU). The results show that the CMIP5 model simulations reproduced the common stratospheric cooling (−0.46–−0.95 K/decade) and tropospheric warming (0.05–0.19 K/decade) features although a significant discrepancy was found among the individual models being selected. The changes of global mean temperature in CMIP5 simulations are highly consistent with the SSU measurements in the stratosphere, and the temporal correlation coefficients between observation and model simulations vary from 0.6–0.99 at the 99% confidence level. At the same time, the spread of temperature mean in CMIP5 simulations increased from stratosphere to troposphere. Multiple linear regression analysis indicates that the temperature variability in the stratosphere is dominated by radioactive gases, volcanic events and solar forcing. Generally, the high-top models show better agreement with observations than the low-top model, especially in the lower stratosphere. The CMIP5 simulations underestimated the stratospheric cooling in the tropics and overestimated the cooling over the Antarctic compared to the satellite observations. The largest spread of temperature trends in CMIP5 simulations is seen in both the Arctic and Antarctic areas, especially in the stratospheric Antarctic.http://www.mdpi.com/2072-4292/8/1/13climate changeSSU/MSU satellite observationupper atmospheric temperatureCMIP5 simulation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lilong Zhao Jianjun Xu Alfred M. Powell Zhihong Jiang Donghai Wang |
spellingShingle |
Lilong Zhao Jianjun Xu Alfred M. Powell Zhihong Jiang Donghai Wang Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations Remote Sensing climate change SSU/MSU satellite observation upper atmospheric temperature CMIP5 simulation |
author_facet |
Lilong Zhao Jianjun Xu Alfred M. Powell Zhihong Jiang Donghai Wang |
author_sort |
Lilong Zhao |
title |
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations |
title_short |
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations |
title_full |
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations |
title_fullStr |
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations |
title_full_unstemmed |
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations |
title_sort |
use of ssu/msu satellite observations to validate upper atmospheric temperature trends in cmip5 simulations |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2015-12-01 |
description |
The tropospheric and stratospheric temperature trends and uncertainties in the fifth Coupled Model Intercomparison Project (CMIP5) model simulations in the period of 1979–2005 have been compared with satellite observations. The satellite data include those from the Stratospheric Sounding Units (SSU), Microwave Sounding Units (MSU), and the Advanced Microwave Sounding Unit-A (AMSU). The results show that the CMIP5 model simulations reproduced the common stratospheric cooling (−0.46–−0.95 K/decade) and tropospheric warming (0.05–0.19 K/decade) features although a significant discrepancy was found among the individual models being selected. The changes of global mean temperature in CMIP5 simulations are highly consistent with the SSU measurements in the stratosphere, and the temporal correlation coefficients between observation and model simulations vary from 0.6–0.99 at the 99% confidence level. At the same time, the spread of temperature mean in CMIP5 simulations increased from stratosphere to troposphere. Multiple linear regression analysis indicates that the temperature variability in the stratosphere is dominated by radioactive gases, volcanic events and solar forcing. Generally, the high-top models show better agreement with observations than the low-top model, especially in the lower stratosphere. The CMIP5 simulations underestimated the stratospheric cooling in the tropics and overestimated the cooling over the Antarctic compared to the satellite observations. The largest spread of temperature trends in CMIP5 simulations is seen in both the Arctic and Antarctic areas, especially in the stratospheric Antarctic. |
topic |
climate change SSU/MSU satellite observation upper atmospheric temperature CMIP5 simulation |
url |
http://www.mdpi.com/2072-4292/8/1/13 |
work_keys_str_mv |
AT lilongzhao useofssumsusatelliteobservationstovalidateupperatmospherictemperaturetrendsincmip5simulations AT jianjunxu useofssumsusatelliteobservationstovalidateupperatmospherictemperaturetrendsincmip5simulations AT alfredmpowell useofssumsusatelliteobservationstovalidateupperatmospherictemperaturetrendsincmip5simulations AT zhihongjiang useofssumsusatelliteobservationstovalidateupperatmospherictemperaturetrendsincmip5simulations AT donghaiwang useofssumsusatelliteobservationstovalidateupperatmospherictemperaturetrendsincmip5simulations |
_version_ |
1725663739365031936 |