Zobrazeno 1 - 10
of 38 052
pro vyhledávání: '"climate model"'
Enhancing uncertainty of regional climate models for climate change projection at Western Nile Delta
Publikováno v:
Water Science, Vol 38, Iss 1, Pp 225-238 (2024)
ABSTRACTThe objective of this research is to refine the precision of uncertainty estimates associated with Regional Climate Models (RCMs) for precipitation forecasts in the Western Nile Delta region of Egypt up to the year 2100. This refinement is pr
Externí odkaz:
https://doaj.org/article/1daf91d6549f499bbab4b8378ead27b4
Publikováno v:
Water-Energy Nexus, Vol 7, Iss , Pp 87-102 (2024)
Climate variability significantly affects the overall agricultural production and productivity over space and time. To quantify the effect of climate variability on natural systems on Earth in the future, the use of regional climate models (RCMs) as
Externí odkaz:
https://doaj.org/article/61906e3f92204e22a459ed69c6cf859c
Autor:
Deepak Kumar Raj, Gopikrishnan T.
Publikováno v:
Journal of Environmental Engineering and Landscape Management, Vol 32, Iss 4 (2024)
This study examined climate change dynamics in the lower Mahanadi River basin by integrating observed and climate model data. Historical precipitation and temperature data (1979–2020) from the India Meteorological Department (IMD) and monthly clima
Externí odkaz:
https://doaj.org/article/9c535b1432b642b2a5cfcfcd754ca0de
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 19, Pp n/a-n/a (2024)
Abstract The scientific discourse on climate change throughout the US has primarily revolved around changes in mean climate and/or climate extremes. However, little is known about the impacts of climate change on mild weather conditions despite its s
Externí odkaz:
https://doaj.org/article/b78d2bd67e3e40fca314de25e7df188f
Publikováno v:
Ecosphere, Vol 15, Iss 9, Pp n/a-n/a (2024)
Abstract Distributions of both native and invasive species are expected to shift under future climate. Species distribution models (SDMs) are often used to explore future habitats, but sources of uncertainty including novel climate conditions may red
Externí odkaz:
https://doaj.org/article/6f9e348a33de45c3aa5f175145c6711f
Autor:
Priscila Tavares, Isabel Lopes Pilotto, Sin Chan Chou, Saulo Aires Souza, Leila Maria Garcia Fonseca, Diego José Chagas
Publikováno v:
Derbyana, Vol 45 (2024)
Accurate and detailed datasets are crucial for assessing climate change impacts. Regional climate models provide high-resolution simulations and are key tools but often exhibit systematic biases. Therefore, this paper presents a dataset derived from
Externí odkaz:
https://doaj.org/article/85169ef3763c4e4f9809dd066fce2f67