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E

Ehsan Forootan

aalborg university

43H指数
225论文数
5.1K被引数
收录论文 72
发表时间
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Corrigendum to “Enhancing short-term Zenith Wet Delay prediction using a combined data assimilation and conditional GAN approach” [Adv. Space Res. 78 (2026) 728–745]勘误：“Enhancing short-term Zenith Wet Delay prediction using a combined data assimilation and conditional GAN approach” [Adv. Space Res. 78 (2026) 728–745]
errAdvances in Space Research
IF2.8
err2026-07-24
err0
PREAI
errMasoud Dehvari; Saeed Farzaneh; Ehsan Forootan
err分享
err收藏
Enhancing Short-Term Zenith Wet Delay Prediction Using a Combined Data Assimilation and Conditional GAN Approach利用组合数据同化和条件生成对抗网络方法提升短期天顶湿延迟预测
errAdvances in Space Research
IF2.8
err2026-04-22
err0
PREAI
errMasoud Dehvari; Saeed Farzaneh; Ehsan Forootan
err分享
err收藏
From Data to Policy: Strengthening essential climate variable monitoring with deep learning algorithms and data quality standards从数据到政策：利用深度学习算法和数据质量标准加强关键气候变量监测
errIEEE Geoscience and Remote Sensing Magazine
IF16.4
err2026-03-02
err0
PREAI
errJ.-P. Montillet; G. Kermarrec; E. Forootan; C.K. Shum; S. Mo; W. Finsterle; K.S. Samsel
err分享
err收藏
Introduction to the Special Collection: Analyzing Big Data for Understanding Climate Variability, Natural Phenomena, and Rapid Environmental Changes特刊介绍：分析大数据以理解气候变率、自然现象和快速环境变化
errEarth and Space Science
IF2.6
err2025-10-14
err0
errOAAI
errJ. P. Montillet; G. Caprarelli; G. Kermarrec; E. Forootan; M. Haberreiter; X. He; R. Fernandes; Z. Xie; I. Manighetti
err分享
err收藏
On the Choice of Basis Functions for Modeling Earth's Elastic Deformation Due To Surface Loading关于用于模拟地表荷载引起地球弹性变形的基函数选择
errJOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
IF4.1
err2025-10-07
err0
errOAAI
errYang, Fan; Shen, Yingchun; Zhang, Weihang; Forootan, Ehsan
err分享
err收藏
CRA-LICOM: a global high-frequency atmospheric and oceanic temporal gravity field product (2002-2024)
errEARTH SYSTEM SCIENCE DATA
IF11.6
err2025-09-23
err0
errOAAI
errYang, Fan; Bai, Jiahui; Liu, Hailong; Zhang, Weihang; Wu, Yi; Liu, Shuhao; Shi, Chunxiang; Zhang, Tao; Zhong, Min; Zhu, Zitong; Wang, Changqing; Forootan, Ehsan; Yu, Jiangfeng; Yu, Zipeng; Xiao, Yun
err分享
err收藏
PyGLDA: a fine-scale python-based global land data assimilation system for integrating satellite gravity data into hydrological modelsYang, F.; Schumacher, M.; Retegui-Schiettekatte, L.; van Dijk, A.I.J.M.; Forootan, E. PyGLDA：一个精细尺度基于Python的全球陆地数据同化系统，用于将卫星重力数据集成到水文模型中。Geosci. Model Dev. Discuss. 2024, 18, 6195–6217. [Google Scholar] [CrossRef]
errGEOSCIENTIFIC MODEL DEVELOPMENT
IF4.9
err2025-09-23
err1
errOAAI
errYang, Fan; Schumacher, Maike; Retegui-Schiettekatte, Leire; van Dijk, Albert I. J. M.; Forootan, Ehsan
err分享
err收藏
An ensemble Kalman filter with rescaling disaggregation for assimilating terrestrial water storage into hydrological models一种带重缩放离散化的集合卡尔曼滤波器，用于将陆地水储量同化到水文模型中
errScientific Reports
IF3.9
err2025-08-06
err0
errOAAI
errLeire Retegui-Schiettekatte; Maike Schumacher; Fan Yang; Henrik Madsen; Ehsan Forootan
err分享
err收藏
Optimizing PPP Performance by Incorporating ZWD Constraints Derived From Data Assimilation通过纳入源自数据同化的ZWD约束来优化PPP性能
errEarth and Space Science
IF2.6
err2025-07-28
err0
errOAAI
errMasoud Dehvari; Saeed Farzaneh; Ehsan Forootan
err分享
err收藏
PyHawk: An efficient gravity recovery solver for low-low satellite-to-satellite tracking gravity missionsPyHawk：一种用于低-低卫星跟踪重力任务的高效重力恢复求解器
errCOMPUTERS & GEOSCIENCES
IF4.4
err2025-07-01
err0
PREAI
errWu, Yi; Yang, Fan; Liu, Shuhao; Forootan, Ehsan
err分享
err收藏
Forecasting rainfall events based on zenith wet delay time series utilizing eXtreme gradient boosting (XGBoost)基于天顶湿延迟时间序列利用eXtreme gradient boosting (XGBoost)预测降雨事件
errADVANCES IN SPACE RESEARCH
IF2.8
err2025-02-01
err0
PREAI
errDehvari, M; Farzaneh, S; Forootan, E
err分享
err收藏
SAGEA: A toolbox for comprehensive error assessment of GRACE and GRACE-FO based mass changes
errCOMPUTERS & GEOSCIENCES
IF4.4
err2025-02-01
err0
PREAI
errLiu, Shuhao; Yang, Fan; Forootan, Ehsan
err分享
err收藏
An Efficient Deep Learning Framework for Robust Estimation of Terrestrial Water Storage Anomalies From GRACE/GRACE-FO一种用于基于GRACE/GRACE-FO进行陆表水储量异常稳健估计的高效深度学习框架
errIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
IF5.3
err2025-01-01
err0
errOAAI
errWei Chen; Jiangjun Ran; Ehsan Forootan; Zihan Yang; C.K. Shum; Changqing Wang; Min Zhong; Wei Feng; Yuhao Xiong
err分享
err收藏
HUST-CRA: A New Atmospheric De-Aliasing Model for Satellite GravimetryHust-cra: 一种新的卫星重力大气去混叠模型
errADVANCES IN ATMOSPHERIC SCIENCES
IF5.5
err2024-12-28
err0
PREAI
errZhang, Weihang; Yang, Fan; Wu, Yi; Liu, Hailong; Zhang, Tao; Luo, Zhicai; Forootan, Ehsan
err分享
err收藏
A spatial-varying non-isotropic Gaussian-based convolution filter for smoothing GRACE-like temporal gravity fields
errJOURNAL OF GEODESY
IF4
err2024-07-06
err3
PREAI
errYang, Fan; Liu, Shuhao; Forootan, Ehsan
err分享
err收藏
A novel dynamic scale factor designed for recovering global TWS changes
errJOURNAL OF HYDROLOGY
IF6.3
err2024-06-01
err2
PREAI
errChen, Wei; Forootan, Ehsan; Shum, C. K.; Zhong, Min; Feng, Wei; Xiong, Yuhao; Li, Wenhao
err分享
err收藏
How Big Data Can Help to Monitor the Environment and to Mitigate Risks due to Climate Change A review
errIEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
IF16.4
err2024-06-01
err6
PREAI
errMontillet, J. -P.; Kermarrec, G.; Forootan, E.; Haberreiter, M.; He, X.; Finsterle, W.; Fernandes, R.; Shum, C. K.
err分享
err收藏
Assimilating Space-Based Thermospheric Neutral Density (TND) Data Into the TIE-GCM Coupled Model During Periods With Low and High Solar Activity
errSPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS
IF3.5
err2024-03-31
err0
errOAAI
errKosary, Mona; Farzaneh, Saeed; Schumacher, Maike; Forootan, Ehsan
err分享
err收藏
Global groundwater droughts are more severe than they appear in hydrological models: An investigation through a Bayesian merging of GRACE and GRACE-FO data with a water balance model
errSCIENCE OF THE TOTAL ENVIRONMENT
IF8
err2024-02-01
err4
errOAAI
errForootan, Ehsan; Mehrnegar, Nooshin; Schumacher, Maike; Schiettekatte, Leire Anne Retegui; Jagdhuber, Thomas; Farzaneh, Saeed; van Dijk, Albert I. J. M.; Shamsudduha, Mohammad; Shum, C. K.
err分享
err收藏
Empirical Data Assimilation for Merging Total Electron Content Data with Empirical and Physical Models
errSURVEYS IN GEOPHYSICS
IF7.1
err2023-04-24
err5
PREAI
errForootan, Ehsan; Kosary, Mona; Farzaneh, Saeed; Schumacher, Maike
err分享
err收藏

研究方向

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