Objective climate classification of Slovenia

2017 ◽  
Vol 37 ◽  
pp. 848-860 ◽  
Author(s):  
Katja Kozjek ◽  
Mojca Dolinar ◽  
Gregor Skok
Keyword(s):  
Climate Classification

scholarly journals Climate classification of Asian university forests under current and future climate

2020 ◽  
Vol 25 (3) ◽  
pp. 136-146
Author(s):  
Yen-Jen Lai ◽  
Nobuaki Tanaka ◽  
Sangjun Im ◽  
Koichiro Kuraji ◽  
Chatchai Tantasirin ◽  
...  
Keyword(s):  
Future Climate ◽  
Climate Classification

scholarly journals Regularities in species niches reveal the World’s climatic regions

2019 ◽  
Author(s):  
Joaquín Calatayud ◽  
Magnus Neuman ◽  
Alexis Rojas ◽  
Anton Eriksson ◽  
Martin Rosvall
Keyword(s):  
Conservation Planning ◽  
Geographical Information ◽  
Climate Classification ◽  
Climatic Regions ◽  
Evolutionary Studies

Although classifications of the Earth’s climates date back to the ancient Greeks, the climatic regions shaping the distribution of animals remain poorly resolved. Here we present a classification of global climates based on regularities in realised niches of 3657 amphibians, 7204 reptiles, 10684 birds and 4574 mammals. We found 16 main climatic regions that are mostly consistent across groups and previous plant expert-based classifications, confirming the existence of major climatic restrictions for life. The results also suggest that differences among groups likely relate to their particular adaptations and dispersal capabilities. We further show how the integration of species niche classifications with geographical information provides valuable information on potential mechanisms shaping the climatic regions. Our climate classification has applications in several disciplines, including conservation planning and ecological and evolutionary studies.

scholarly journals Thornthwaite climate classification of TurkeyTürkiye Thornthwaite iklim sınıflandırması

2016 ◽  
Vol 13 (3) ◽  
pp. 3973 ◽  
Author(s):  
Erkan Yılmaz ◽  
İhsan Çiçek
Keyword(s):  
Large Scale ◽  
Potential Evaporation ◽  
Grid Data ◽  
Climate Classification ◽  
Environmental Media ◽  
Monthly Average ◽  
Topographical Effects ◽  
Average Precipitation ◽  
Effectiveness Index

It is possible to see different climatic types together in Turkey having very different habitats, ecosystems and environmental media by the mathematical and special position where it is located in. The creation of large-scale weather maps and databases to reflect this diversity is necessary for the clarification of the elements that are affected by this diversity. This diversity could not be reflected sufficiently due to the reason that the weather maps which have been created so far today are not large-scale. In this study, it is aimed to create a map and a database concerning Turkey, which is detailed, in which the topographical effects are reflected, which shows the ecosystem differences and which is digitally accessible. For this purpose, the Thornthwaite climate classification in which the sub-climatic types can be digitally separated was preferred. First of all, the monthly average precipitation and temperature data were arranged at 805.000 points of Turkey and then this data was analyzed according to the Thornthwaite climate classification method. The results obtained were submitted as grid data at the resolution of 1 km in 4 different categories and an integrated climate class map by the combination of them. According to the results of the analysis, it was determined that there are 8 different precipitation effectiveness index classes, 8 different temperature effect index classes, 6 different drought and moistness index classes and 8 different potential evaporation index classes in Turkey. It was seen that the number of the integrated index classes created by the combination of them is 233. Accordingly, it is possible to say that there are 233 different environmental conditions in Turkey. ÖzetBulunduğu matematiksel ve özel konum itibariyle çok farklı habitat, ekosistem ve çevresel ortam barındıran Türkiye’de farklı iklim tiplerini bir arada görmek mümkündür. Bu çeşitliliği yansıtacak büyük ölçekli iklim haritalarının ve veri tabanlarının oluşturulması, bu çeşitlilikten etkilenen ögelerin açıklanması için gereklidir. Günümüze kadar yapılan iklim haritalarının büyük ölçekli olmamaları nedeniyle bu çeşitlilik yeteri kadar yansıtılamamıştır. Bu çalışmada, Türkiye’ye ait ayrıntılı, topografik etkilerin yansıtıldığı, ekosistem farklılıklarını gösteren ve sayısal olarak ulaşılabilecek bir harita, veri tabanını üretmek amaçlanmıştır. Bu amaçla, alt iklim tiplerinin sayısal olarak ayrılabildiği Thornthwaite iklim sınıflandırması tercih edilmiştir. Önce, Türkiye’de 805.000 noktasında aylık ortalama yağış ve sıcaklık verileri düzenlenmiş, ardından bu veriler Thornthwaite iklim sınıflandırma yöntemine göre analiz edilmiştir. Elde edilen sonuçlar 4 farklı kategoride 1 km çözünürlükte grid verisi olarak sunulmuş ve bunların birleştirilmesi ile tümleşik iklim sınıfı haritası oluşturulmuştur. Analiz sonuçlarına göre Türkiye’de 8 farklı yağış etkinlik indisi, 8 farklı sıcaklık tesiri indisi, 6 farklı kuraklık ve nemlilik indisi ve 8 farklı potansiyel buharlaşma indis sınıfının olduğu belirlenmiştir. Bunların birleştirilmesi ile oluşturulan tümleşik indis sınıflarının ise 233 olduğu görülmüştür. Buna bağlı olarak Türkiye’de 233 farklı çevresel koşul olduğunu söylemek mümkündür.

scholarly journals Climate classification of Abies pinsapo Boiss. forests in Southern Spain

2007 ◽  
Vol 16 (3) ◽  
pp. 222 ◽  
Author(s):  
A. Fernandez-Cancio ◽  
R. M. NavarroCerrillo ◽  
R. Fernandez Fernandez ◽  
P. Gil Hernández ◽  
E. Manrique Meneéndez ◽  
...  
Keyword(s):  
Southern Spain ◽  
Climate Classification ◽  
Abies Pinsapo

scholarly journals Climate classification of the agricultural region of La Pampa province, Argentina

2021 ◽  
Vol 31 (2) ◽  
pp. 9-20
Author(s):  
Mariano Méndez ◽  
◽  
Graciela Vergara ◽  
Guillermo Casagrande ◽  
Sergio Bongianino ◽  
...  
Keyword(s):  
Climate Classification ◽  
Agricultural Region

scholarly journals Mapping Climate Classification of Oldeman in Agricultural Resources Management in South Tapanuli District

2021 ◽  
Vol 1156 (1) ◽  
pp. 012002
Author(s):  
Imelda Sari Harahap ◽  
Irwan Zulfikri Matondang ◽  
Suryanto ◽  
Erti Kumala Indah ◽  
Irmalia Fitri
Keyword(s):  
Climate Classification ◽  
Resources Management ◽  
Agricultural Resources

scholarly journals Bioclimatic Approach for Climate Classification of Nigeria

2020 ◽  
Vol 12 (10) ◽  
pp. 4192
Author(s):  
Tolulope Dorcas Mobolade ◽  
Parastoo Pourvahidi
Keyword(s):  
Climate Change ◽  
Vernacular Architecture ◽  
Mechanical Equipment ◽  
Climatic Data ◽  
Climate Classification ◽  
Climatic Regions ◽  
The People ◽  
Harsh Climate ◽  
Cool Climate

One of the fundamental determinants of buildings is the protection of the people who live and work within them from a harsh climate, but a lot of buildings in Nigeria are no longer providing the required comfort needed. The gas emissions through the use of mechanical equipment and lack of energy efficiency in buildings are the major causes of climate change. The way architecture responds to climate change is important. Thus, this research attempted, by using the new bioclimatic chart, to prepare the new climate classification of Nigeria. The research was aimed at establishing a bioclimatically based approach for architecture in Nigeria. By retrieving the climatic data from thirty-six Nigerian meteorological stations about characteristics of each region, bioclimatic analysis was achieved. According to the bioclimatic analysis of this research, Nigeria can be divided into five different climatic regions, such as hot-dry, hot-humid, temperate-dry, temperate-humid, and temperate-dry with a cool climate. We aimed to prove that the climate classification gives the proper answer, dependent upon the vernacular architecture analyzed on Nigeria.

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

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