Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Wenfang Lu"'
Publikováno v:
Limnology and Oceanography Letters, Vol 9, Iss 4, Pp 442-451 (2024)
Abstract In 2015, the Indian Ocean exhibits an exceptionally weakened CO2 uptake, highlighting strong interannual variability of ocean carbon sink. By utilizing multiple ocean CO2 partial pressure (pCO2) data and a state‐of‐the‐art ocean biogeo
Externí odkaz:
https://doaj.org/article/16a3dfc06dcc4143b297d0b4be237cc9
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 1, Pp n/a-n/a (2024)
Abstract Marine heatwaves (MHWs) are extremely warm ocean temperature events that significantly affect marine environments, but their effects on the coastal carbonate system are still uncertain. In this study, we systematically quantify MHWs' impacts
Externí odkaz:
https://doaj.org/article/842bc0ba611043408734e826059db38e
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 1, Pp n/a-n/a (2024)
Abstract It has been reported that the sea level falls in the tropical Southwest Indian Ocean (SWIO) from the 1960s to the early 2000s. However, a rising trend of 4.05 ± 0.56 cm/decade has occurred during the recent two decades with our analysis sho
Externí odkaz:
https://doaj.org/article/bb4b58afa88547eea79e870b58f028ae
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 566 (2023)
As the most relevant indicator of global warming, the ocean heat content (OHC) change is tightly linked to the Earth’s energy imbalance. Therefore, it is vital to study the OHC and heat absorption and redistribution. Here we analyzed the characteri
Externí odkaz:
https://doaj.org/article/0ab4202154e84bf9b2d2462530bc4f90
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3557 (2022)
The chlorophyll-a concentration (CHL) is an essential climate variable. Extremes of CHL events directly reflect the condition of marine ecosystems. Here, we applied the statistical framework for defining marine heatwaves to study the extremes of wint
Externí odkaz:
https://doaj.org/article/658af7277d42465fad6e9cefc36d4647
Autor:
Peng Yu, Wenxiang Xu, Xiaojing Zhong, Johnny A. Johannessen, Xiao-Hai Yan, Xupu Geng, Yuanrong He, Wenfang Lu
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2269 (2022)
Based on the Ocean Projection and Extension neural Network (OPEN) method, a novel approach is proposed to retrieve sea surface wind speed for C-band synthetic aperture radar (SAR). In order to prove the methodology with a robust dataset, five-year no
Externí odkaz:
https://doaj.org/article/70cfbeee2e424764a1b5c2ca3b3272a6
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3799 (2021)
Global ocean heat content (OHC) is generally estimated using gridded, model and reanalysis data; its change is crucial to understanding climate anomalies and ocean warming phenomena. However, Argo gridded data have short temporal coverage (from 2005
Externí odkaz:
https://doaj.org/article/7bf9e617589e468fb3b025d1ece5cd61
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 576 (2021)
Chlorophyll-a (chl-a) is an important parameter of water quality and its concentration can be directly retrieved from satellite observations. The Ocean and Land Color Instrument (OLCI), a new-generation water-color sensor onboard Sentinel-3A and Sent
Externí odkaz:
https://doaj.org/article/afb4f439919f4bb4aaad537675d6d294
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2294 (2020)
Retrieving information concerning the interior of the ocean using satellite remote sensing data has a major impact on studies of ocean dynamic and climate changes; however, the lack of information within the ocean limits such studies about the global
Externí odkaz:
https://doaj.org/article/b8ac1c4b107a482392a2e217841eb04c
Publikováno v:
Remote Sensing, Vol 11, Iss 13, p 1598 (2019)
Retrieving multi-temporal and large-scale thermohaline structure information of the interior of the global ocean based on surface satellite observations is important for understanding the complex and multidimensional dynamic processes within the ocea
Externí odkaz:
https://doaj.org/article/270f6a2ca86a4dbe802d539c8770867c