scholarly journals Spatial considerations of stream hydraulics in reach scale temperature modeling

2015 ◽  
Vol 51 (7) ◽  
pp. 5566-5581 ◽  
Author(s):  
Noah M. Schmadel ◽  
Bethany T. Neilson ◽  
Justin E. Heavilin
Keyword(s):  
Temperature Modeling ◽  
Scale Temperature ◽  
Stream Hydraulics

One-Dimensional Temperature Modeling Techniques. Review and Recommendations

1990 ◽  
Author(s):  
Lee K. Balick ◽  
John R. Hummel ◽  
James A. Smith ◽  
Daniel S. Kimes
Keyword(s):  
One Dimensional ◽  
Temperature Modeling ◽  
Modeling Techniques

Issues and opportunities from Peltier effect in functionally-graded colusites: From SPS temperature modeling to enhanced thermoelectric performances

2021 ◽  
Vol 22 ◽  
pp. 100948
Author(s):  
Gabin Guélou ◽  
Christophe Couder ◽  
Charles Manière ◽  
Christophe Candolfi ◽  
Bertrand Lenoir ◽  
...  
Keyword(s):  
Functionally Graded ◽  
Peltier Effect ◽  
Temperature Modeling

scholarly journals Twenty-first century regional temperature response in Chile based on empirical-statistical downscaling

2021 ◽  
Author(s):  
Sebastian G. Mutz ◽  
Samuel Scherrer ◽  
Ilze Muceniece ◽  
Todd A. Ehlers
Keyword(s):  
Statistical Models ◽  
Temperature Response ◽  
Local Scale ◽  
First Century ◽  
Local Temperature ◽  
Future Climate Change ◽  
Weather Station ◽  
Temperature Changes ◽  
Scale Temperature ◽  
Twenty First Century

AbstractLocal scale estimates of temperature change in the twenty-first century are necessary for informed decision making in both the public and private sector. In order to generate such estimates for Chile, weather station data of the Dirección Meteorológica de Chile are used to identify large-scale predictors for local-scale temperature changes and construct individual empirical-statistical models for each station. The geographical coverage of weather stations ranges from Arica in the North to Punta Arenas in the South. Each model is trained in a cross-validated stepwise linear multiple regression procedure based on (24) weather station records and predictor time series derived from ERA-Interim reanalysis data. The time period 1979–2000 is used for training, while independent data from 2001 to 2015 serves as a basis for assessing model performance. The resulting transfer functions for each station are then directly coupled to MPI-ESM simulations for future climate change under emission scenarios RCP2.6, RCP4.5 and RCP 8.5 to estimate the local temperature response until 2100 A.D. Our investigation into predictors for local scale temperature changes support established knowledge of the main drivers of Chilean climate, i.e. a strong influence of the El Niño Southern Oscillation in northern Chile and frontal system-governed climate in central and southern Chile. Temperature downscaling yields high prediction skill scores (ca. 0.8), with highest scores for the mid-latitudes. When forced with MPI-ESM simulations, the statistical models predict local temperature deviations from the 1979–2015 mean that range between − 0.5–2 K, 0.5–3 K and 2–7 K for RCP2.6, RCP4.5 and RCP8.5 respectively.

A millennium-long perspective on high-elevation pine recruitment in the Spanish central Pyrenees

2018 ◽  
Vol 48 (9) ◽  
pp. 1108-1113 ◽  
Author(s):  
Gabriel Sangüesa-Barreda ◽  
J. Julio Camarero ◽  
Jan Esper ◽  
J. Diego Galván ◽  
Ulf Büntgen
Keyword(s):  
Ring Width ◽  
High Elevation ◽  
Upward Migration ◽  
Scale Temperature ◽  
Decadal Scale ◽  
History Of ◽  
Climatic Drivers ◽  
Individual Trees ◽  
Central Pyrenees

Long-term fluctuations in forest recruitment, at time scales well beyond the life-span of individual trees, can be related to climate changes. The underlying climatic drivers are, however, often understudied. Here, we present the recruitment history of a high-elevation mountain pine (Pinus uncinata Ram.) forest in the Spanish central Pyrenees throughout the last millennium. A total of 1108 ring-width series translated into a continuous chronology from 924 to 2014 CE, which allowed estimated germination dates of 470 trees to be compared against decadal-scale temperature variability. High recruitment intensity mainly coincided with relatively warm periods in the early 14th, 15th, 19th, and 20th centuries, whereas cold phases during the mid-17th, early 18th, and mid-19th centuries overlapped with generally low recruitment rates. In revealing the importance of prolonged warm conditions for high-elevation pine recruitment in the Pyrenees, this study suggests increased densification and even possible upward migration of tree-line ecotones under predicted global warming.

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