“Climate effect” of the northeast cold vortex and its influences on Meiyu

2007 ◽  
Vol 52 (5) ◽  
pp. 671-679 ◽  
Author(s):  
JinHai He ◽  
ZhiWei Wu ◽  
ZhiHong Jiang ◽  
ChunSheng Miao ◽  
GuiRong Han
Keyword(s):  
Climate Effect ◽  
Cold Vortex ◽  
Northeast Cold Vortex

PERTUMBUHAN LINGKARAN POHON JATI PADA DUA SISTEM KULTUR BERBEDA DI JAWA TIMUR

2008 ◽  
Vol 6 (2) ◽  
Author(s):  
Iriwi Louisa S. Sinon
Keyword(s):  
Tree Ring ◽  
Tectona Grandis ◽  
Annual Growth ◽  
Natural Growth ◽  
Growth Rings ◽  
Climate Effect ◽  
Tropical Regions ◽  
Annual Growth Rings ◽  
Chronological Sequence ◽  
Plantation Teak

<p><em>Study dendrochronology or tree-ring dating is defined as the study of chronological sequence of annual growth rings in trees. Teak (Tectona grandis) is one of various tree species that has been identified for the use of tree-ring studies in tropical regions. Teak is found to be suitable for dendrochronology as it is long-lived and develops defined annual growth rings. In Java, teak cans growth naturally or intensively in plantation. The two silviculture conditions will give different sensitivity on climate effect. Therefore, the effect of silviculturer will on natural teak and plantation teak in Saradan, Madiun, and East Java. As a part of the study, ten core samples from natural- growth teak were measured. The samples of growth rings is spanned from 1832 – 2004. Using the COFECHA program, the correlation of the samples (r) was found to be 0.44 point, which is satisfactory to the standard used in dendrochronology. Thus, from this study it can be concluded that natural teak could still be used in dendrochronology, although the sensitivity are not as high as plantation teak. </em></p>

scholarly journals The variation of marine environment and climate effect in Indo-Pacific Ocean

2020 ◽  
Vol 38 (6) ◽  
pp. 1599-1601
Author(s):  
Juncheng Zuo ◽  
Weiqiang Wang ◽  
Guihua Wang ◽  
Qiang Xie
Keyword(s):  
Pacific Ocean ◽  
Marine Environment ◽  
Climate Effect

Racial dissimilarity and diversity climate effect organizational identification

2016 ◽  
Vol 35 (5/6) ◽  
pp. 314-327 ◽  
Author(s):  
Brooklyn Cole ◽  
Raymond J. Jones ◽  
Lisa M. Russell
Keyword(s):  
Organizational Identification ◽  
Turnover Intentions ◽  
Ordinary Least Squares ◽  
Important Variable ◽  
Hierarchical Regression ◽  
Diversity Climate ◽  
Climate Effect ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to empirically examine the relationship between psychological diversity climate (PDC) and organizational identification (OID) when influenced by racial dissimilarity between the subordinate and supervisor. Design/methodology/approach Ordinary least squares hierarchical regression analysis was run for hypotheses testing. Findings Three of the four hypothesized relationships were supported. Support was found for the direct relationship between PDC and OID. The moderator race was significant thus also supported. The moderator of dissimilarity was not supported. Finally the three-way interaction with race and dissimilarity was supported. Practical implications OID is an important variable for overall organizational success. OID influences a wealth of organizationally relevant outcomes including turnover intentions. Considering higher turnover exists for minority employees, understanding how diversity climate perceptions vary by employee race and therefore impact OID differently, helps managers when making decisions about various initiatives. Originality/value This study is the first the authors know of to investigate the impact of dissimilarity on the PDC-OID relationship.

scholarly journals Regional effects of atmospheric aerosols on temperature: an evaluation of an ensemble of online coupled models

2017 ◽  
Vol 17 (15) ◽  
pp. 9677-9696 ◽  
Author(s):  
Rocío Baró ◽  
Laura Palacios-Peña ◽  
Alexander Baklanov ◽  
Alessandra Balzarini ◽  
Dominik Brunner ◽  
...  
Keyword(s):  
Atmospheric Aerosols ◽  
Atmospheric Aerosol ◽  
Correlation Coefficients ◽  
Spatiotemporal Variability ◽  
Coupled Models ◽  
Climate Effect ◽  
Wave Event ◽  
Simulation Results ◽  
Radiative Feedbacks ◽  
Aerosol Radiative

Abstract. The climate effect of atmospheric aerosols is associated with their influence on the radiative budget of the Earth due to the direct aerosol–radiation interactions (ARIs) and indirect effects, resulting from aerosol–cloud–radiation interactions (ACIs). Online coupled meteorology–chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated with the use of these models. Thus, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of online coupled models improves the simulation results for maximum, mean and minimum temperature at 2 m over Europe. The evaluated models outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The cases studies cover two important atmospheric aerosol episodes over Europe in the year 2010: (i) a heat wave event and a forest fire episode (July–August 2010) and (ii) a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from the E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatiotemporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included.

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