Spatio-Temporal Modelling of Temperature Time Series: A Comparative Study

2004 ◽  
pp. 123-150 ◽  
Author(s):  
T. Subba Rao ◽  
Ana Monica Costa Antunes
Keyword(s):  
Time Series ◽  
Comparative Study ◽  
Temperature Time Series ◽  
Temporal Modelling ◽  
Spatio Temporal ◽  
Temperature Time

scholarly journals The effect of streambed heterogeneity on groundwater-surface water exchange fluxes inferred from temperature time series

2015 ◽  
Vol 51 (1) ◽  
pp. 198-212 ◽  
Author(s):  
Dylan J. Irvine ◽  
Roger H. Cranswick ◽  
Craig T. Simmons ◽  
Margaret A. Shanafield ◽  
Laura K. Lautz
Keyword(s):  
Time Series ◽  
Surface Water ◽  
Water Exchange ◽  
Temperature Time Series ◽  
Temperature Time ◽  
Streambed Heterogeneity

scholarly journals The Simulation of Daily Temperature Time Series from GCM Output. Part I: Comparison of Model Data with Observations

1997 ◽  
Vol 10 (10) ◽  
pp. 2497-2513 ◽  
Author(s):  
J. P. Palutikof ◽  
J. A. Winkler ◽  
C. M. Goodess ◽  
J. A. Andresen
Keyword(s):  
Time Series ◽  
Temperature Time Series ◽  
Daily Temperature ◽  
Model Data ◽  
Temperature Time

The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Malvina Silvestri ◽  
Federico Rabuffi ◽  
Massimo Musacchio ◽  
Sergio Teggi ◽  
Maria Fabrizia Buongiorno
Keyword(s):  
Time Series ◽  
Land Surface Temperature ◽  
Satellite Data ◽  
Land Surface ◽  
Urban Areas ◽  
Temperature Time Series ◽  
Campi Flegrei ◽  
Thermal Anomalies ◽  
Pca Method ◽  
Temperature Time

In this work, the land surface temperature time series derived using Thermal InfraRed (TIR) satellite data offers the possibility to detect thermal anomalies by using the PCA method. This approach produces very detailed maps of thermal anomalies, both in geothermal areas and in urban areas. Tests were conducted on the following three Italian sites: Solfatara-Campi Flegrei (Naples), Parco delle Biancane (Grosseto) and Modena city.

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