scholarly journals Global land surface air temperature dynamics since 1880

2017 ◽  
Vol 38 ◽  
pp. e466-e474 ◽  
Author(s):  
Jinfeng Wang ◽  
Chengdong Xu ◽  
Maogui Hu ◽  
Qingxiang Li ◽  
Zhongwei Yan ◽  
...  
Keyword(s):  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Temperature Dynamics ◽  
Global Land

scholarly journals Trends and Interannual and Interdecadal Variations of Global Land Surface Air Temperature

1993 ◽  
Vol 71 (3) ◽  
pp. 367-375 ◽  
Author(s):  
Tsuyoshi Nitta ◽  
Jun Yoshimura
Keyword(s):  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Global Land

scholarly journals Impact of fire on global land surface air temperature and energy budget for the 20th century due to changes within ecosystems

2017 ◽  
Vol 12 (4) ◽  
pp. 044014 ◽  
Author(s):  
Fang Li ◽  
David M Lawrence ◽  
Ben Bond-Lamberty
Keyword(s):  
20Th Century ◽  
Air Temperature ◽  
Energy Budget ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Global Land

Global land-surface air temperature change based on the new CMA GLSAT data set

2017 ◽  
Vol 62 (4) ◽  
pp. 236-238 ◽  
Author(s):  
Xiubao Sun ◽  
Guoyu Ren ◽  
Wenhui Xu ◽  
Qingxiang Li ◽  
Yuyu Ren
Keyword(s):  
Temperature Change ◽  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Data Set ◽  
Global Land

Observed and SST-forced multidecadal variability in global land surface air temperature

2014 ◽  
Vol 44 (1-2) ◽  
pp. 359-369 ◽  
Author(s):  
L. H. Gao ◽  
Z. W. Yan ◽  
X. W. Quan
Keyword(s):  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Multidecadal Variability ◽  
Global Land

scholarly journals Evaluation and Comparison of Noah and Pleim–Xiu Land Surface Models in MM5 Using GÖTE2001 Data: Spatial and Temporal Variations in Near-Surface Air Temperature

2007 ◽  
Vol 46 (10) ◽  
pp. 1587-1605 ◽  
Author(s):  
J-F. Miao ◽  
D. Chen ◽  
K. Borne
Keyword(s):  
Soil Moisture ◽  
Air Temperature ◽  
Land Surface ◽  
Model Performance ◽  
Surface Air Temperature ◽  
Near Surface ◽  
Surface Models ◽  
Urban Heat ◽  
Soil Moisture Initialization ◽  
Evident Difference

Abstract In this study, the performance of two advanced land surface models (LSMs; Noah LSM and Pleim–Xiu LSM) coupled with the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5), version 3.7.2, in simulating the near-surface air temperature in the greater Göteborg area in Sweden is evaluated and compared using the GÖTE2001 field campaign data. Further, the effects of different planetary boundary layer schemes [Eta and Medium-Range Forecast (MRF) PBLs] for Noah LSM and soil moisture initialization approaches for Pleim–Xiu LSM are investigated. The investigation focuses on the evaluation and comparison of diurnal cycle intensity and maximum and minimum temperatures, as well as the urban heat island during the daytime and nighttime under the clear-sky and cloudy/rainy weather conditions for different experimental schemes. The results indicate that 1) there is an evident difference between Noah LSM and Pleim–Xiu LSM in simulating the near-surface air temperature, especially in the modeled urban heat island; 2) there is no evident difference in the model performance between the Eta PBL and MRF PBL coupled with the Noah LSM; and 3) soil moisture initialization is of crucial importance for model performance in the Pleim–Xiu LSM. In addition, owing to the recent release of MM5, version 3.7.3, some experiments done with version 3.7.2 were repeated to reveal the effects of the modifications in the Noah LSM and Pleim–Xiu LSM. The modification to longwave radiation parameterizations in Noah LSM significantly improves model performance while the adjustment of emissivity, one of the vegetation properties, affects Pleim–Xiu LSM performance to a larger extent. The study suggests that improvements both in Noah LSM physics and in Pleim–Xiu LSM initialization of soil moisture and parameterization of vegetation properties are important.

scholarly journals An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST

2021 ◽  
Vol 56 (1-2) ◽  
pp. 635-650 ◽  
Author(s):  
Qingxiang Li ◽  
Wenbin Sun ◽  
Xiang Yun ◽  
Boyin Huang ◽  
Wenjie Dong ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Temperature Trends ◽  
Global Mean
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