Zobrazeno 1 - 10
of 261
pro vyhledávání: '"METEOROLOGICAL INFORMATION"'
Autor:
Naser Valizadeh, Latif Haji, Shobeir Karami, Atefeh Ahmadi Dehrashid, Sara Jalilian, Hossein Azadi
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Meteorological information and forecasts are of great importance to reduce agro-meteorological hazards. However, the gap between production and application of these forecasts is one of the most ambiguous issues of crop management at the farmers’ le
Externí odkaz:
https://doaj.org/article/35e35ef7c78d4669979d1cdb4afb1ae2
Publikováno v:
IEEE Access, Vol 12, Pp 138166-138179 (2024)
Water quality predictions are crucial for water resource management and aquatic biological protection.Current prediction methods typically rely solely on temporal water quality data from a limited number of monitoring stations. This could lead to ina
Externí odkaz:
https://doaj.org/article/fcc61925515048658fcfa87ede4e58c1
Autor:
P. D. Tretyakov, E. I. Ponomarev
Publikováno v:
Сибирский лесной журнал, Vol 10, Iss 6, Pp 17-31 (2023)
The dynamics of vegetation fires on the territory of the Arctic zone of Siberia (64–74°N, 60–150°E) was studied under the conditions of observed climatic changes at the turn of the XX – beginning of the XXI centuries. In the study area, four
Externí odkaz:
https://doaj.org/article/37e54f8fbaff43329de5f795cb47dc21
Autor:
Hen-I Lin, Sheng-Jang Sheu, Chu-Wei Chen, Fang-I Wen, Chin-Wen Yang, Je-Liang Liou, Meng-Wei Chen, Jen-Hung Hsu, Yu-Chieh Chang
Publikováno v:
Atmosphere, Vol 15, Iss 10, p 1223 (2024)
This study evaluates the economic benefits of meteorological information services (MISs) provided by the Central Weather Administration (CWA) in Taiwan, specifically for Taiwan’s capture fishery industry. Using the contingent valuation method (CVM)
Externí odkaz:
https://doaj.org/article/d38ae797d7e8454697a8b24b2e566980
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 474-482 (2023)
Aiming at the chaotic characteristics of wind power sequence and combined with meteorological information, a short-term prediction method of wind power based on phase space reconstruction and bidirectional long short-term memory neural network (Re-Bi
Externí odkaz:
https://doaj.org/article/8d06bb7896dd4d089174e1a8b06fc193
Autor:
Chao Tang, Béatrice Morel, Swati Singh, Alexandre Graillet, Julien Pergaud, Remy Ineza Mugenga, Lwidjy Baraka, Marie-Dominique Leroux, Patrick Jeanty, Mathieu Delsaut, Tyagaraja S.M. Cunden, Girish Kumar Beeharry, Roddy Lollchund
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109665- (2023)
The present article describes a dataset encompassing model outputs generated by the Weather Research and Forecasting (WRF) regional climate model. A high-resolution (1km) downscaling simulation was performed over two tropical islands, Reunion and Mau
Externí odkaz:
https://doaj.org/article/6b8ab298d5044fe9ba8be57f993aab99
Publikováno v:
Promet (Zagreb), Vol 35, Iss 2, Pp 195-211 (2023)
In the post-epidemic era, dynamic monitoring of expressway road freight volume is an important task. To accurately predict the daily freight volume of urban expressway, meteorological and other information are considered. Four commonly used algorithm
Externí odkaz:
https://doaj.org/article/25d45a10c18c4dca9174d428dfacfed8
Publikováno v:
Geo Data, Vol 5, Iss 1, Pp 26-33 (2023)
Since its construction in 2010, the icebreaker ARAON has been conducting regular polar field surveys to observe changes in the atmosphere and marine environment in polar regions. The Arctic Ocean, a major research area, is directly affected by change
Externí odkaz:
https://doaj.org/article/0370eaaeb44d46d99e42fc35904496c9
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 536 (2024)
Airborne wind measurement is of great significance for understanding atmospheric motion and meteorological monitoring. In this paper, we present the development and verification of an airborne Doppler wind lidar (ADWL), featuring an approach proposed
Externí odkaz:
https://doaj.org/article/fa4a1128680a4bddb056e6c2fd11dcda
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2285 (2024)
Hourly traffic volume prediction is now emerging to mitigate and respond to hourly-level traffic congestion augmented by deep learning techniques. Incorporating meteorological data into the forecasting of hourly traffic volumes substantively improves
Externí odkaz:
https://doaj.org/article/199933592f214b99bafb5e132b9988c0