Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Yuanhong Guan"'
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 89 (2023)
Based on the community radiative transfer model, ensemble tree-based random forest algorithm, and extreme gradient boosting tree algorithm, this study established a random forest retrieval model (RF) and an extreme gradient boosting tree retrieval mo
Externí odkaz:
https://doaj.org/article/834485e6d5164b9e8c519974c58d0429
Publikováno v:
Advances in Meteorology, Vol 2021 (2021)
The northeast cold vortices (NECVs) in May-September during 1989–2018 are classified, based on the 6 h NCEP/NCAR reanalysis data (2.5° × 2.5°) and observational data from the Meteorological Information Comprehensive Analysis and Process System (
Externí odkaz:
https://doaj.org/article/bf76e289d97b43fdbc642a42ac0db4e4
Publikováno v:
Mathematics, Vol 7, Iss 5, p 416 (2019)
In the process of extrapolating a lifetime distribution function under normal storage conditions through nonlinear accelerated degradation data, time indexes under the normal storage conditions are usually set to the mean value of time indexes under
Externí odkaz:
https://doaj.org/article/55d06cfcf7954ddf89bb8471109ace67
Autor:
Yutian Zhang, Yuanhong Guan
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
We employ the new method of fixed point theory to study the stability of a class of impulsive cellular neural networks with infinite delays. Some novel and concise sufficient conditions are presented ensuring the existence and uniqueness of solution
Externí odkaz:
https://doaj.org/article/2a8a717f48e34b7589aed7892468c5a9
Publikováno v:
Climate Dynamics. 60:1297-1311
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::818d19ff1e21231d2a36b0c85f11b255
https://doi.org/10.1007/s00382-022-06335-9
https://doi.org/10.1007/s00382-022-06335-9
This study analyzes and discusses the characteristics of sea surface temperature (SST) in the Southern Indian Ocean, the changes in the location of the Indian Ocean Intertropical Convergence Zone (ITCZ), and their impact on precipitation in China fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1d422a91863502898fe6ec8ea7b24bb
https://doi.org/10.21203/rs.3.rs-1992940/v1
https://doi.org/10.21203/rs.3.rs-1992940/v1
Publikováno v:
Atmospheric and Oceanic Science Letters. :100358
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdefc122e52b138212ce990b7f1c412f
https://doi.org/10.1016/j.aosl.2023.100358
https://doi.org/10.1016/j.aosl.2023.100358
Publikováno v:
Journal of Industrial & Management Optimization. 14:817-831
The retrieval of parameters related to an environmental model is explored. We address computational challenges occurring due to a significant numerical difference of up to two orders of magnitude between the two model parameters we aim to retrieve. F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea56325e22668354b13cfcd845b6942a
https://doi.org/10.3934/jimo.2017077
https://doi.org/10.3934/jimo.2017077
Autor:
Khidir Abdalla Kwal Deng, George Petropoulos, Salim LAMINE, Andrew Pavlides, Yansong Bao, Swaiti Suman, Yuanhong Guan
Earth Observation (EO) allows deriving from a range of sensors, often globally, operational estimates of surfacesoil moisture (SSM) at range of spatiotemporal resolutions. Yet, an evaluation of the accuracy of those productsin a variety of environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d538cc3947c50409557f3c6978af4e
https://doi.org/10.31219/osf.io/rzfbu
https://doi.org/10.31219/osf.io/rzfbu
Publikováno v:
Journal of Climate. 27:4263-4272
This work examines the impact of El Niño–Southern Oscillation (ENSO) on the prediction skill of North Pacific variability (NPV) in retrospective predictions of the NCEP Climate Forecast System, version 2. It is noted that the phase relationship be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a206364f0177f17e0ad920418d95cb78
https://doi.org/10.1175/jcli-d-13-00633.1
https://doi.org/10.1175/jcli-d-13-00633.1