Zobrazeno 1 - 10
of 3 423
pro vyhledávání: '"Meteorological data"'
Publikováno v:
Лëд и снег, Vol 64, Iss 1, Pp 133-142 (2024)
The methods and results of a comparative analysis of the effects of climate changes on the dynamics of the areas of thermokarst lakes over the past 36 years in the Arctic regions on the Yamal, Gydan, and Taimyr peninsulas are considered, the areas of
Externí odkaz:
https://doaj.org/article/0268c6c0a08b40f3bb3cfb707579d2c7
Publikováno v:
Tropical Cyclone Research and Review, Vol 13, Iss 2, Pp 113-124 (2024)
Nowadays, with the continual development of the science and technology applied in data observation, monitoring and collection, human has more and more means and channels to obtain various data, consequently, the amount of collected and stored data is
Externí odkaz:
https://doaj.org/article/095c285976e5487489cf308fa249a165
Publikováno v:
Ecological Indicators, Vol 167, Iss , Pp 112657- (2024)
Aiming to enhance disaster damage assessment and prevention capabilities in rice production, we established a rice high-temperature early warning and disaster risk assessment system. Four representative rice varieties underwent high-temperature contr
Externí odkaz:
https://doaj.org/article/73be04c8d5324f2183084322b33f8001
A comparison of farmers’ perceptions and meteorological data on climate change in northwestern Ghana
Autor:
Dramani Juah M-Buu File, Godwell Nhamo
Publikováno v:
Cogent Social Sciences, Vol 10, Iss 1 (2024)
Climate change is mostly perceived by smallholder farmers in terms of changes in weather elements such as rainfall and temperature. These changes are typically observed over time in an immediate environment. Studies have largely focused on examining
Externí odkaz:
https://doaj.org/article/e8fe0262a2c147dca6f0b12c0f9ee26b
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 5, Pp 954-971 (2024)
Long-term inflow forecasting is extremely important for reasonable dispatch schedules of hydropower stations and efficient utilization plans of water resources. In this paper, a novel forecast framework, meteorological data long short-term memory neu
Externí odkaz:
https://doaj.org/article/b0cf28b0386f44af96d71d63b36350e5
Autor:
David Akpuluma, Alexey Yurchenko
Publikováno v:
Proceedings of the International Conference on Applied Innovations in IT, Vol 12, Iss 1, Pp 257-263 (2024)
This study presents a robust approach to predicting solar irradiation in the challenging climatic conditions of Tomsk using LASSO regression, with a particular emphasis on interpretability and climatic variability. Two distinct models were developed:
Externí odkaz:
https://doaj.org/article/c36e7c1d27db425bb0b4b47f0293b1af
Autor:
Leona Hoffmann, Lorenza Gilardi, Marie-Therese Schmitz, Thilo Erbertseder, Michael Bittner, Sabine Wüst, Matthias Schmid, Jörn Rittweger
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract When analyzing health data in relation to environmental stressors, it is crucial to identify which variables to include in the statistical model to exclude dependencies among the variables. Four meteorological parameters: temperature, ultrav
Externí odkaz:
https://doaj.org/article/075e67c613c045eab31723492fa076ae
Autor:
Yinqing Zhen, Qingyun Yan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104253- (2024)
The escalating water pollution in many lakes has led to more frequent occurrences of algal bloom disasters in recent decades. The severity of these disasters can be assessed through remote sensing techniques, specifically using the Normalized Differe
Externí odkaz:
https://doaj.org/article/050a63405dd7486681962c61331556d9
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103033- (2024)
At this time, as the world and nations move to reduce the use of fossil fuels, research is oriented toward improving the energy consumption of people and buildings. Recent methods, mainly computing techniques such as deep learning, are proposed in th
Externí odkaz:
https://doaj.org/article/814a192a85f54645a8666b0f8d00a981