Zobrazeno 1 - 10
of 1 629
pro vyhledávání: '"Monthly average"'
Publikováno v:
Guan'gai paishui xuebao, Vol 41, Iss 2, Pp 83-90 (2022)
【Objective】 Soil temperature affects crop growth and biogeochemical processes in terrestrial systems, and understanding its variation is hence important to evaluate the impact of global warming on agricultural production and soil gas emissions. T
Externí odkaz:
https://doaj.org/article/886f1992f26d4f589348ecdb0a327a0d
Publikováno v:
Proceedings of the Mongolian Academy of Sciences, Pp 30-39 (2021)
In this study, we have focused on the outdoor concentration of fine particulate matter (PM2.5) during the coldest months (November-February) of 2016-2019 and January-February of 2020 and illustrated the daily, monthly and quarterly averages according
Externí odkaz:
https://doaj.org/article/f2596599b4984ece94ab65b8a031039c
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107515- (2021)
This article provides long-term environmental change data for wooden buildings; it also reflects environmental data provided by the Korea Meteorological Administration. In the case of field survey, data logger was installed on the left rear and right
Externí odkaz:
https://doaj.org/article/a4a2f02883e34e82915b5c170d775565
Akademický článek
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Publikováno v:
Юг России: экология, развитие, Vol 14, Iss 1, Pp 81-93 (2019)
Aim. Transboundary rivers are complex enough to study which requires analysis of not only the polluting agents themselves but also geographic features and specifics of economic activities. The work is devoted to the study of the dynamics of pollution
Externí odkaz:
https://doaj.org/article/41dfdf75f87e4c89a7eb7c853a7a108e
Autor:
José Vallejos, Rolando Montenegro, R. Isaí Sanchez, Russell C. Van Horn, Sonia Palacios-Ramos, D. Javier Vallejos, Robyn D. Appleton, Megan A. Owen
Publikováno v:
Caldasia. 44:469-483
Colicodendron scabridum, commonly known as “sapote”, is one of the most common woody species in seasonally dry neotropical forests, and an important food for numerous animals. We investigated sapote’s reproductive phenology and evaluated its re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e464267a03513a1191b6079c5745f07
https://doi.org/10.15446/caldasia.v44n3.91427
https://doi.org/10.15446/caldasia.v44n3.91427
Publikováno v:
International Journal of Renewable Energy Development, Vol 11, Iss 1, Pp 71-81 (2022)
In this study, data of the monthly average of daily global solar radiation falling on a horizontal surface, relative humidity, maximum temperature, and duration of sunshine for the city of Baghdad were collected through two sources. First, from the I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daa23e1a3d60ec8e07f38706f17b4e96
https://ejournal.undip.ac.id/index.php/ijred/article/view/38493
https://ejournal.undip.ac.id/index.php/ijred/article/view/38493
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 490-503 (2022)
Understanding the variation regularity of water extent can provide insights into lake conservation and management. In this study, inter- and inner-annual variations of water extent during the period of 1987–2020 were analyzed to understand the temp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08ba8bbb6e38ee81b65921c5e96b94ff
https://doi.org/10.1109/jstars.2021.3088127
https://doi.org/10.1109/jstars.2021.3088127
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Accurate prediction of EI Nino-southern oscillation (ENSO) is of great significance to seasonal climate forecast. Recently, a convolutional neural network (CNN) has shown an optimal skill for ENSO prediction. However, it is difficult for the convolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9639292d78670f61fa2f158e674ea34
https://doi.org/10.1109/lgrs.2021.3100485
https://doi.org/10.1109/lgrs.2021.3100485
Publikováno v:
Technological and Economic Development of Economy, Vol 24, Iss 2 (2018)
Photovoltaic (PV) system could be implemented to mitigate global warming and lack of energy. To maximize its effectiveness, the monthly average daily solar radiation (MADSR) should be accurately estimated, and then an accurate MADSR map could be deve
Externí odkaz:
https://doaj.org/article/9014ae88c4954bf5948bf3f49060be76