Zobrazeno 1 - 10
of 977
pro vyhledávání: '"EL NIÑO SOUTHERN OSCILLATION (ENSO)"'
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 9, Pp 54-67 (2024)
This study aims to monitor the implications of climate change on savanna ecosystem drought using time series data from the Landsat 8 sensor, spanning from 2013 to 2022. We employed a remote sensing computational approach with the Semi-Automatic Class
Externí odkaz:
https://doaj.org/article/4e1a48d6000d4f0fb90e8c05c37aab3f
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 11, Pp n/a-n/a (2024)
Abstract Although it is known that the frequency and intensity of heatwaves are affected by the El Niño–Southern Oscillation (ENSO), unknown are the ENSO modulations on the moving properties (e.g., moving distance and speed) of spatiotemporally co
Externí odkaz:
https://doaj.org/article/e0efdc12127d43d7883b15feb93af4d3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17066-17074 (2024)
The El Niño-Southern Oscillation (ENSO) is a global significant signal which exerts substantial climatic and socioeconomic impacts worldwide. However, the long-term prediction of ENSO persists as a challenge because of its diversity, irregularity, a
Externí odkaz:
https://doaj.org/article/96f1d8107c30413380aa16ee54c5bdc7
Publikováno v:
International Journal of Sustainable Energy, Vol 42, Iss 1, Pp 1430-1452 (2023)
ABSTRACTThis study explores how solar radiation and wind speed in La Guajira vary in response to El Niño/Southern Oscillation (ENSO) events. Climatic data were collected and analysed at three iconic locations: Upper Guajira, Middle Guajira, and Lowe
Externí odkaz:
https://doaj.org/article/c9053172c7e341ce8f28dd30dc6efaf3
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3395 (2024)
The Indonesian Throughflow (ITF) is significantly modulated by Indo-Pacific climate forcing, especially the El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD). However, when ENSO and IOD occur concurrently, they tend to play dif
Externí odkaz:
https://doaj.org/article/1c8d836821564829be16e0c69e41669d
Autor:
Meklit Berihun Melesse, Yonas Demissie
Publikováno v:
Water, Vol 16, Iss 17, p 2521 (2024)
The Nile Basin has long been the subject of extensive research, reflecting its importance, which spans from its historical role in the development of ancient civilizations to its current significance in supporting rapidly changing socioeconomic condi
Externí odkaz:
https://doaj.org/article/13a20709b7184fc2871a27d1c5bcb300
Autor:
Malte F. Stuecker
Publikováno v:
Geoscience Letters, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract Climate variability has distinct spatial patterns with the strongest signal of sea surface temperature (SST) variance residing in the tropical Pacific. This interannual climate phenomenon, the El Niño-Southern Oscillation (ENSO), impacts we
Externí odkaz:
https://doaj.org/article/393149c674054f1eb4526dd11e9fe809
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3460-3483 (2023)
Teleconnection events can influence normal regional weather patterns and affect weather forecast accuracy. To improve the forecast ability, the relationship between main teleconnections such as El Niño–Southern Oscillation (ENSO), Indian Ocean Dip
Externí odkaz:
https://doaj.org/article/97beef0120cd4a098b55a7ae4765171a
Dynamics of Extreme Rainfall and Its Impact on Forest and Land Fires in the Eastern Coast of Sumatra
Publikováno v:
Science and Technology Indonesia, Vol 8, Iss 3, Pp 403-413 (2023)
This article examines the extreme climate events on the Eastern Coast of Sumatra over four decades (1981-2019) based on the extreme rainfall index defined using the Expert Team on Climate Change Detection and Indices (ETCCDI). The indices used includ
Externí odkaz:
https://doaj.org/article/9f2cb948bde2475692c3ae608efe3f87
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
El Niño-Southern Oscillation (ENSO), a cyclic climate phenomenon spanning interannual and decadal timescales, exerts substantial impacts on the global weather patterns and ecosystems. Recently, deep learning has brought considerable advances in the
Externí odkaz:
https://doaj.org/article/2c0279e3f28147c78ad6b439c974808f