Estimation of vertical water fluxes from temperature time series by the inverse numerical computer program FLUX-BOT

2017 ◽  
Vol 31 (15) ◽  
pp. 2713-2724 ◽  
Author(s):  
Matthias Munz ◽  
Christian Schmidt
Keyword(s):  
Time Series ◽  
Computer Program ◽  
Temperature Time Series ◽  
Water Fluxes ◽  
Numerical Computer ◽  
Temperature Time

Limits on Groundwater‐Surface Water Fluxes Derived from Temperature Time Series: Defining Resolution‐Based Thresholds

2019 ◽  
Vol 55 (12) ◽  
pp. 10678-10689 ◽  
Author(s):  
Thomas J. Glose ◽  
Christopher S. Lowry ◽  
Mark B. Hausner
Keyword(s):  
Time Series ◽  
Surface Water ◽  
Temperature Time Series ◽  
Water Fluxes ◽  
Temperature Time

Automated calculation of vertical pore-water flux from field temperature time series using the VFLUX method and computer program

2012 ◽  
Vol 420-421 ◽  
pp. 142-158 ◽  
Author(s):  
Ryan P. Gordon ◽  
Laura K. Lautz ◽  
Martin A. Briggs ◽  
Jeffrey M. McKenzie
Keyword(s):  
Time Series ◽  
Computer Program ◽  
Pore Water ◽  
Water Flux ◽  
Temperature Time Series ◽  
Field Temperature ◽  
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

Modeling of Predictable Variations in Multi-Time Instant Ambient Temperature Time Series

2021 ◽  
Author(s):  
Udith Shyamsukha ◽  
Nimish Jain ◽  
Tirthankar Chakraborty ◽  
B Rajanarayan Prusty ◽  
Kishore Bingi
Keyword(s):  
Time Series ◽  
Ambient Temperature ◽  
Time Instant ◽  
Temperature Time Series ◽  
Temperature Time

scholarly journals Correction of Outliers in Temperature Time Series Based on Sliding Window Prediction in Meteorological Sensor Network

Information ◽  
2017 ◽  
Vol 8 (2) ◽  
pp. 60 ◽  
Author(s):  
Li Ma ◽  
Xiaodu Gu ◽  
Baowei Wang
Keyword(s):  
Time Series ◽  
Sensor Network ◽  
Sliding Window ◽  
Temperature Time Series ◽  
Temperature Time

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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