气候变化研究快报
Climate Change Research Letters
气候变化研究快报
Climate Change Research Letters
《气候变化研究快报》系“RCCSE中国核心学术期刊”,是开放获取期刊,主要刊登国内外气候变化相关领域论文。本刊支持思想创新、学术创新,倡导科学,繁荣学术,集学术性、思想性为一体,旨在给世界范围内的科学家、学者、科研人员提供一个传播、分享和讨论气候变化领域内不同方向问题与发展的交流平台。
ISSN Print: 2168-5711
ISSN Online: 2168-5703
编辑邮箱: ccrl@hanspub.org  微信号:hans-zhong
Website: https://www.hanspub.org/journal/CCRL.html
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[1] 径流预报的极点对称模态分解-Elman 网络模型
2021
[2] 1978—2017 年西南地区干湿时空变化特征
2021
[3] 基于 REOF 和 ESMD 的降水场时空耦合分析: 以山东省冬季降水为例
2020
[4] 1982—2015 年中国北方生长季 NDVI 变化及其对气温极值的响应
2020
[5] Feature Extraction Method for Ship-Radiated Noise Based on Extreme-point Symmetric Mode Decomposition and Dispersion Entropy
2020
[6] 应用极点对称模态分解分析径流时空演化规律
2020
[7] Drought evaluation with CMORPH satellite precipitation data in the Yellow River Basin by using Gridded Standardized Precipitation Evapotranspiration Index
2019
[8] Forecasting models for wind power using extreme-point symmetric mode decomposition and artificial neural networks
2019
[9] Nonlinear response of runoff to atmospheric freezing level height variation based on hybrid prediction models
2019
[10] Prediction of underwater acoustic signals based on ESMD and ELM
2019
[11] 三峡调蓄前后径流变化的多尺度分析
2019
[12] 基于线性与非线性特征融合的 J 波自动识别
2019
[13] Capability of remotely sensed drought indices for representing the spatio–temporal variations of the meteorological droughts in the Yellow River Basin
2018
[14] Spatio‐temporal variations of nonlinear trends of precipitation over an arid region of northwest China according to the extreme‐point symmetric mode decomposition method
2018
[15] Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI
2018
[16] 关于非对称数据的 ESMD 改进算法 Improvement of ESMD Algorithm for Asymmetric Data
2018
[17] 基于极点对称模态分解的北京市降水特征分析
2018
[18] Adaptive extraction method for trend term of machinery signal based on extreme-point symmetric mode decomposition
2017
[19] 基于极点对称模态分解和概率神经网络的轴承故障诊断
2017
[20] ESMD method for frequency distribution of tank surface temperature under wind effect
2015