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A review of ocean/sea subsurface water temperature studies from remote sensing and non-remote sensing methods
Oceans/Seas are important components of Earth that are affected by global warming and
climate change. Recent studies have indicated that the deeper oceans are responsible for …
climate change. Recent studies have indicated that the deeper oceans are responsible for …
OPEN: A new estimation of global ocean heat content for upper 2000 meters from remote sensing data
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 …
data has a major impact on studies of ocean dynamic and climate changes; however, the …
A neural network approach to estimate tropical cyclone heat potential in the Indian Ocean
The tropical cyclone heat potential (TCHP) or the available upper ocean thermal energy is
one of the critical factors in controlling the intensity of cyclones. Given the devastating …
one of the critical factors in controlling the intensity of cyclones. Given the devastating …
Estimating dissolved organic carbon inventories in the E ast C hina S ea using remote‐sensing data
The coastal ocean is characterized by a high dissolved organic carbon (DOC) concentration
due to large terrestrial inputs and high primary production. Monitoring the dynamic variation …
due to large terrestrial inputs and high primary production. Monitoring the dynamic variation …
[HTML][HTML] Improvements in hurricane intensity forecasts from a multimodel superensemble utilizing a generalized neural network technique
T Ghosh, TN Krishnamurti - Weather and Forecasting, 2018 - journals.ametsoc.org
Forecasting tropical storm intensities is a very challenging issue. In recent years, dynamical
models have improved considerably. However, for intensity forecasts more improvement is …
models have improved considerably. However, for intensity forecasts more improvement is …
Applying Adaptive Neuro-Fuzzy Inference System to Improve Typhoon Intensity Forecast in the Northwest Pacific
SS Lin, JH Song, KY Zhu, YC Liu, HC Chang - Water, 2023 - mdpi.com
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-
day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference …
day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference …
Monsoonal intraseasonal oscillations in the ocean heat content over the surface layers of the Bay of Bengal
TN Krishnamurti, S Jana, R Krishnamurti… - Journal of Marine …, 2017 - Elsevier
Two major findings of this study are i) the presence of a robust intraseasonal oscillation
(ISO) signal in the Bay of Bengal (BOB) subsurface ocean heat content (OHC) anomaly, this …
(ISO) signal in the Bay of Bengal (BOB) subsurface ocean heat content (OHC) anomaly, this …
A soft‐computing cyclone intensity prediction scheme for the Western North Pacific Ocean
A soft‐computing cyclone intensity prediction scheme (SCIPS) is introduced using an
artificial neural network (ANN) approach and adding ocean heat content, as an additional …
artificial neural network (ANN) approach and adding ocean heat content, as an additional …
Estimation of sonic layer depth from surface parameters
S Jain, MM Ali, PN Sen - Geophysical research letters, 2007 - Wiley Online Library
Sonic layer depth (SLD), an important parameter in underwater acoustics, is the near
surface depth of first maxima of the sound speed in the ocean. The lack of direct …
surface depth of first maxima of the sound speed in the ocean. The lack of direct …
Estimating Daily Temperatures over Andhra Pradesh, India, Using Artificial Neural Networks
GC Satyanarayana, V Sambasivarao, P Yasaswini… - Atmosphere, 2023 - mdpi.com
In the recent past, Andhra Pradesh (AP) has experienced increasing trends in surface air
mean temperature (SAT at a height of 2 m) because of climate change. In this paper, we …
mean temperature (SAT at a height of 2 m) because of climate change. In this paper, we …