Domesticating Climate: Scale and the Meteorology of Luke Howard

2019 ◽  
pp. 17-31
Author(s):  
Alexis Harley
Keyword(s):  
Climate Scale

Service Climate Scale

2005 ◽  
Author(s):  
Marisa Salanova ◽  
Sonia Agut ◽  
Jose Maria Peiro
Keyword(s):  
Service Climate ◽  
Climate Scale

Global Service Climate Scale

1998 ◽  
Author(s):  
Benjamin Schneider ◽  
Susan S. White ◽  
Michelle C. Paul
Keyword(s):  
Service Climate ◽  
Climate Scale

Perceptions of the LGBTQ College Campus Climate Scale

2020 ◽  
Author(s):  
Dawn M. Szymanski ◽  
Danielle Bissonette
Keyword(s):  
Campus Climate ◽  
College Campus ◽  
Climate Scale

Hospitality Organizational Climate Scale--Revised

2018 ◽  
Author(s):  
Amit Datta ◽  
Raghuvir Singh
Keyword(s):  
Organizational Climate ◽  
Climate Scale

Chesapeake Bay Stock Assessment: Who are they, and Where are they?

1992 ◽  
Vol 26 (12) ◽  
pp. 2705-2709 ◽  
Author(s):  
H. M. Austin
Keyword(s):  
Chesapeake Bay ◽  
Stock Assessment ◽  
Human Consumption ◽  
Population Fluctuations ◽  
Important Species ◽  
Fisheries Resources ◽  
Environmentally Sensitive ◽  
Climate Scale ◽  
Resource And Environment

The Chesapeake Bay, while a significant habitat for fisheries resources, is in actuality an aquatic “bedroom community”, as many of the economically important species are seasonally transient. The pressure on these resources due to their demand for human consumption and recreation, proximity to extensive industrial activity along the shores, and climate scale environmental fluctuations has resulted in stock declines by most important species. Our inability to separate natural population fluctuations from those of anthropogenic origin complicates management efforts. The only way to make these separations, and subsequent informed management decisions is by supporting long-term stock assessment programs (monitoring) in the Bay which allow us to examine trends, cycles and stochastic processes between resource and environment. These programs need to monitor both recruitment and fishing mortality rates of the economically important species, and to identify and monitor the environmentally sensitive “canary” species.

Validation of the Implementation Climate Scale in Nursing

2021 ◽  
Vol 18 (2) ◽  
pp. 85-92
Author(s):  
Mark G. Ehrhart ◽  
Clayton J. Shuman ◽  
Elisa M. Torres ◽  
Lisa M. Kath ◽  
Andrea Prentiss ◽  
...  
Keyword(s):  
Implementation Climate ◽  
Climate Scale

scholarly journals School Climate and Perceived Academic Performance: Direct or Resilience-Mediated Relationship?

2020 ◽  
Vol 13 (1) ◽  
pp. 68
Author(s):  
Naiara Escalante Mateos ◽  
Arantza Fernández-Zabala ◽  
Eider Goñi Palacios ◽  
Iker Izar-de-la-Fuente Díaz-de-Cerio
Keyword(s):  
Academic Performance ◽  
School Climate ◽  
Basque Country ◽  
School Adjustment ◽  
Specific Aspect ◽  
Mediation Model ◽  
Mediating Role ◽  
Resilience Scale ◽  
Climate Scale

Although there is a growing interest in identifying the variables that enhance student school adjustment, there is a lack of understanding of the mechanisms involved in it during adolescence. Despite there being works that confirm the positive relationship between school climate and academic performance, it is still unresolved which of the more specific aspects of climate are linked to this performance, as well as the degree to which an individual variable such as resilience can play a mediating role between both; these unknown factors constitute the objective of this study. A total of 731 students (mean age, Mage = 15.20 years; Standard Deviation, SD = 1.62) from the Basque Country participated; they completed the PACE-33 -school climate scale-, the CD-RISC10 -resilience scale- and the EBAE-10 -perceived academic performance subscale-. The full mediation model and the partial mediation model were tested. The results show that the model of choice is that of partial mediation: the resilience mediates the relationship between two specific aspects of the school climate (peer relationship and teachers’ ability to motivate) and perceived academic performance, and a third specific aspect (teachers’ expectations) has a direct relationship with perceived academic performance. These findings highlight the importance of attending to variables specific to the context in which the subject interacts, with the role of the teacher being especially important, in addition to promoting the development of resilience, due to the weight it has on the perception that students have about their school performance.

A Statistical Model of Cloud Vertical Structure Based on Reconciling Cloud Layer Amounts Inferred from Satellites and Radiosonde Humidity Profiles

2005 ◽  
Vol 18 (17) ◽  
pp. 3587-3605 ◽  
Author(s):  
William B. Rossow ◽  
Yuanchong Zhang ◽  
Junhong Wang
Keyword(s):  
Statistical Model ◽  
Vertical Structure ◽  
Atmospheric Temperature ◽  
Radiative Flux ◽  
Cloud Layer ◽  
Cloud Base ◽  
Polar Regions ◽  
Flux Divergence ◽  
Climate Scale ◽  
Humidity Profiles

Abstract To diagnose how cloud processes feed back on weather- and climate-scale variations of the atmosphere requires determining the changes that clouds produce in the atmospheric diabatic heating by radiation and precipitation at the same scales of variation. In particular, not only the magnitude of these changes must be quantified but also their correlation with atmospheric temperature variations; hence, the space–time resolution of the cloud perturbations must be sufficient to account for the majority of these variations. Although extensive new global cloud and radiative flux datasets have recently become available, the vertical profiles of clouds and consequent radiative flux divergence have not been systematically measured covering weather-scale variations from about 100 km, 3 h up to climate-scale variations of 10 000 km, decadal inclusive. By combining the statistics of cloud layer occurrence from the International Satellite Cloud Climatology Project (ISCCP) and an analysis of radiosonde humidity profiles, a statistical model has been developed that associates each cloud type, recognizable from satellite measurements, with a particular cloud vertical structure. Application of this model to the ISCCP cloud layer amounts produces estimates of low-level cloud amounts and average cloud-base pressures that are quantitatively closer to observations based on surface weather observations, capturing the variations with latitude and season and land and ocean (results are less good in the polar regions). The main advantage of this statistical model is that the correlations of cloud vertical structure with meteorology are qualitatively similar to “classical” information relating cloud properties to weather. These results can be evaluated and improved with the advent of satellites that can directly probe cloud vertical structures over the globe, providing statistics with changing meteorological conditions.

scholarly journals Development and validation of a multi-level air freight handling safety climate scale

2018 ◽  
Vol 59 ◽  
pp. 445-462 ◽  
Author(s):  
Matthew D. Roberts ◽  
Matthew A. Douglas ◽  
Robert E. Overstreet ◽  
Jeffrey A. Ogden ◽  
Christine M. Schubert Kabban
Keyword(s):  
Safety Climate ◽  
Multi Level ◽  
Air Freight ◽  
Climate Scale ◽  
Development And Validation
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