Short-Term Responses of Land Surface Temperature Anomalies to Earthquakes in China

Abstract This study introduces an objective definition for onset and demise of the northeast Indian monsoon (NEM). The definition is based on the land surface temperature analysis over the Indian subcontinent. It is diagnosed from the inflection points in the daily anomaly cumulative curve of the area-averaged surface temperature over the provinces of Andhra Pradesh, Rayalseema, and Tamil Nadu located in the southeastern part of India. Per this definition, the climatological onset and demise dates of the NEM season are 6 November and 13 March, respectively. The composite evolution of the seasonal cycle of 850-hPa winds, surface wind stress, surface ocean currents, and upper-ocean heat content suggest a seasonal shift around the time of the diagnosed onset and demise dates of the NEM season. The interannual variations indicate onset date variations have a larger impact than demise date variations on the seasonal length, seasonal anomalies of rainfall, and surface temperature of the NEM. Furthermore, it is shown that warm El Niño–Southern Oscillation (ENSO) episodes are associated with excess seasonal rainfall, warm seasonal land surface temperature anomalies, and reduced lengths of the NEM season. Likewise, cold ENSO episodes are likely to be related to seasonal deficit rainfall anomalies, cold land surface temperature anomalies, and increased lengths of the NEM season.

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Multifractal detrended cross correlation analysis of atmospheric CO2 concentration and land-surface temperature anomalies

International Journal of Global Warming ◽

10.1504/ijgw.2018.094559 ◽

2018 ◽

Vol 16 (2) ◽

pp. 209 ◽

Cited By ~ 4

Author(s):

Sucharita Chatterjee ◽

Dipak Ghosh ◽

Srimonti Dutta

Keyword(s):

Correlation Analysis ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Cross Correlation ◽

Temperature Anomalies ◽

Cross Correlation Analysis

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Decadal Covariability of the Northern Wintertime Land Surface Temperature and Atmospheric Circulation

Journal of Climate ◽

10.1175/jcli-d-13-00266.1 ◽

2014 ◽

Vol 27 (2) ◽

pp. 633-651 ◽

Cited By ~ 5

Author(s):

B. Yu ◽

X. L. Wang ◽

X. B. Zhang ◽

J. Cole ◽

Y. Feng

Keyword(s):

Twentieth Century ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Southern Oscillation ◽

Lower Troposphere ◽

Mean Flow ◽

Temperature Anomalies ◽

The North ◽

Decadal Scale

Abstract The decadal covariability of northern wintertime land surface temperature and 500-hPa geopotential anomalies is examined using the National Centers for Environmental Prediction–National Center for Atmospheric Research and the Twentieth-Century Reanalyses over the twentieth century and a 996-yr preindustrial climate simulation from the Canadian Earth System Model. Based on the reanalysis data, the covariability is dominated by two leading maximum covariance analysis (MCA) modes. MCA1 is characterized by temperature anomalies over most of Canada, the eastern United States, Mexico, and Eurasian mid- to high latitudes, accompanied by anomalies of opposite sign elsewhere over northern landmasses. MCA2 features temperature anomalies over most of North America, Eurasia, and Greenland with opposite anomalies elsewhere. In the upper troposphere the synoptic vorticity fluxes reinforce the anomalous circulation, while in the lower troposphere advection by the anomalous mean flow offsets the eddy forcing and maintains the decadal temperature perturbation. The MCA1-associated variability has a broad spectrum over decadal–interdecadal time scales, while the MCA2-related variability has a significant power peak around 20 yr. The change of temperature and geopotential trends around 1990 tends to be a decadal-scale shift in winter and has significant features of the leading mode of the decadal covariability. The climate model has broadly similar decadal covariability, including the leading MCA patterns as well as the temporal evolution of the patterns. The decadal temperature and geopotential anomalies primarily covary with the North Atlantic Oscillation but also with the variability of the North Pacific index, while the Southern Oscillation index variability tends to be the least important predictor for the northern decadal temperature and geopotential anomalies.

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