226 citations as recorded by crossref.

1. State-dependent errors in a land surface model across biomes inferred from eddy covariance observations on multiple timescales T. Wang et al. 10.1016/j.ecolmodel.2012.07.017
2. MSSA vs. Multivariate Regularized Expectation Maximization for Data Cleaning J. Dash & Y. Zhang 10.2139/ssrn.2811717
3. Techniques for characterizing weak transients in cosmic ray records, as measured by neutron monitor networks T. de Wit Dudok et al. 10.2478/s11600-008-0038-6
4. Water vapor‐weighted mean temperature and its impact on the determination of precipitable water vapor and its linear trend X. Wang et al. 10.1002/2015JD024181
5. A Two-Step Method for Missing Spatio-Temporal Data Reconstruction S. Cheng & F. Lu 10.3390/ijgi6070187
6. Geometric Piecewise Cubic Bézier Interpolating Polynomial with C2 Continuity M. Fadhel & Z. Omar 10.15622/ia.2021.20.1.5
7. Variability modes of precipitation along a Central Mediterranean area and their relations with ENSO, NAO, and other climatic patterns A. Kalimeris et al. 10.1016/j.atmosres.2017.07.031
8. Conceptualization in catchment modelling: simply learning? S. Dunn et al. 10.1002/hyp.7070
9. Optimal frequency bands for pupillography for maximal correlation with HRV J. Medeiros et al. 10.1038/s41598-025-85663-2
10. Granger-causality inference in the presence of gaps: An equidistant missing-data problem for non-synchronous recorded time series data H. Elsegai 10.1016/j.physa.2019.01.002
11. An effective toolkit for the interpolation and gross error detection of GPS time series X. Wang et al. 10.1179/1752270615Y.0000000023
12. Joint short-term prediction of polar motion and length of day with multi-task deep learning methods S. Guessoum et al. 10.1186/s40623-025-02150-8
13. From interannual to decadal: 17 years of boundary current transports at the exit of the Labrador Sea R. Zantopp et al. 10.1002/2016JC012271
14. Singular Spectrum Analysis With Conditional Predictions for Real‐Time State Estimation and Forecasting H. Ogrosky et al. 10.1029/2018GL081100
15. Singular spectrum analysis of storm surges and wave climates R. Briganti & G. Beltrami 10.1080/00221686.2008.9521960
16. TubeDB: An on-demand processing database system for climate station data S. Wöllauer et al. 10.1016/j.cageo.2020.104641
17. Analysis of Surface Atrial Signals: Time Series with Missing Data? R. Sassi et al. 10.1007/s10439-009-9757-3
18. Investigation of time_changeable seasonal components in the GPS height time series: A case study for Central Europe M. Gruszczynska 10.13168/AGG.2016.0010
19. Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing K. Hu et al. 10.1155/2017/4695975
20. A Missing Type-Aware Adaptive Interpolation Framework for Sensor Data L. Chen et al. 10.1109/TIM.2021.3089783
21. The “Caterpillar”-SSA method for analysis of time series with missing values N. Golyandina & E. Osipov 10.1016/j.jspi.2006.05.014
22. Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series J. Musial et al. 10.5194/acp-11-7905-2011
23. Estimation of the Cyclopean Eye From Binocular Smooth Pursuit Tests E. Luque-Buzo et al. 10.1109/TCDS.2024.3410110
24. Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning M. Egli et al. 10.1029/2022GL099826
25. Analyzing state-dependent model–data comparison in multi-regime systems A. Aretxabaleta & K. Smith 10.1007/s10596-011-9229-3
26. SPACE-TA L. Wang et al. 10.1145/3131671
27. A Kalman Filter-Based Method for Reconstructing GMS-5 Global Solar Radiation by Introduction of In Situ Data J. Fu et al. 10.3390/en6062804
28. An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets J. v. Buttlar et al. 10.5194/npg-21-203-2014
29. Realization of an Optimal Dynamic Geodetic Reference Frame in China: Methodology and Applications P. Cheng et al. 10.1016/j.eng.2020.08.004
30. Multi-regime non-Gaussian data filling for incomplete ocean datasets A. Aretxabaleta & K. Smith 10.1016/j.jmarsys.2013.03.001
31. Estimation of connectivity measures in gappy time series G. Papadopoulos & D. Kugiumtzis 10.1016/j.physa.2015.05.032
32. Climate Change and the Macroeconomic Structure in Pre-Industrial Europe: New Evidence from Wavelet Analysis Q. Pei et al. 10.1371/journal.pone.0126480
33. Learning spatiotemporal dynamics with a pretrained generative model Z. Li et al. 10.1038/s42256-024-00938-z
34. Modeling composite effects of marine and freshwater processes on migratory species W. Friedman et al. 10.1002/ecs2.2743
35. Earth orientation parameters prediction based on the hybrid SSA + LS + SVM model Y. Yang et al. 10.1088/1361-6501/ac8ec6
36. Missing values imputation in ocean buoy time series data S. Chakraborty et al. 10.1016/j.oceaneng.2024.120145
37. Gap-filling continuously-measured soil respiration data: A highlight of time-series-based methods J. Zhao et al. 10.1016/j.agrformet.2020.107912
38. Research on Groundwater Drought and Sustainability in Badain Jaran Desert and Surrounding Areas Based on GRACE Satellite X. Liu et al. 10.3390/land14010173
39. What we talk about when we talk about seasonality – A transdisciplinary review O. Kwiecien et al. 10.1016/j.earscirev.2021.103843
40. On the application of Monte Carlo singular spectrum analysis to GPS position time series S. Khazraei & A. Amiri-Simkooei 10.1007/s00190-019-01253-x
41. Iteration empirical mode decomposition method for filling the missing data of GNSS position time series X. Qiu 10.13168/AGG.2022.0012
42. An Improved Data Interpolating Empirical Orthogonal Function Method for Data Reconstruction: A Case Study of the Chlorophyll-a Concentration in the Bohai Sea, China T. Hong et al. 10.3390/app14072803
43. Tracking the US business cycle with a singular spectrum analysis M. de Carvalho et al. 10.1016/j.econlet.2011.09.007
44. Approach to optimize 3-dimensional brain functional activation image with high resolution: a study on functional near-infrared spectroscopy Z. Shoaib et al. 10.1364/BOE.10.004684
45. How Well Do AR5 Sea Surface-Height Model Projections Match Observational Rates of Sea-Level Rise at the Regional Scale? P. Watson 10.3390/jmse6010011
46. Hydrological variability and loading deformation in the Yangtze river basin based on modern geodetic means D. Ren et al. 10.1080/27669645.2022.2098895
47. A New Highly Parameterized Linear Inversion of Water Table Change and Groundwater Depletion Rate Tested With the High Plains Aquifer, U.S.A. J. Jiao et al. 10.1029/2022WR034342
48. A MATLAB-based Kriged Kalman Filter software for interpolating missing data in GNSS coordinate time series N. Liu et al. 10.1007/s10291-017-0689-3
49. The Interannual Fluctuations in Mass Changes and Hydrological Elasticity on the Tibetan Plateau from Geodetic Measurements M. He et al. 10.3390/rs13214277
50. Cleaning Data with Real-World Updating Using MSSA J. Dash & Y. Zhang 10.2139/ssrn.2811714
51. Timescale effects on the environmental control of carbon and water fluxes of an apple orchard L. Montagnani et al. 10.1002/ece3.3633
52. Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales M. Mahecha et al. 10.1029/2009JG001016
53. A combined EOF/variational approach for mapping radar-derived sea surface currents M. Yaremchuk & A. Sentchev 10.1016/j.csr.2011.01.009
54. Extreme Value Analysis of Tide Gauge Record at the Port of Busan, South Korea P. Watson & H. Lim 10.3390/geohazards4040028
55. Missing value imputation in time series using Singular Spectrum Analysis R. Mahmoudvand & P. Rodrigues 10.1142/S2335680416500058
56. A Modified Spatiotemporal Mixed-Effects Model for Interpolating Missing Values in Spatiotemporal Observation Data Series Q. Shi et al. 10.1155/2020/1070831
57. Restoration of long-term missing gaps in solar radiation O. Ogunsola & L. Song 10.1016/j.enbuild.2014.07.088
58. An evaluation of monthly impervious surface dynamics by fusing Landsat and MODIS time series in the Pearl River Delta, China, from 2000 to 2015 L. Zhang et al. 10.1016/j.rse.2017.08.036
59. Cleaning Financial Data Using SSA and MSSA J. Dash & Y. Zhang 10.2139/ssrn.2808156
60. Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series H. Ghafarian Malamiri et al. 10.3390/rs12172747
61. Acceleration in U.S. Mean Sea Level? A New Insight using Improved Tools P. Watson 10.2112/JCOASTRES-D-16-00086.1
62. Data-adaptive spatio-temporal filtering of GRACE data P. Prevost et al. 10.1093/gji/ggz409
63. The operational method of filling information gaps in satellite imagery using numerical models M. Konik et al. 10.1016/j.jag.2018.09.002
64. Signal Extraction and Forecasting of the UK Tourism Income Time Series: A Singular Spectrum Analysis Approach C. Beneki et al. 10.1002/for.1220
65. Analysis of linear and bilinear spatial temporal models in the case of missing observations M. Gabr et al. 10.1080/03610918.2023.2290460
66. Diagnosing the Temperature Sensitivity of Ecosystem Respiration in Northern High‐Latitude Regions D. Wu et al. 10.1029/2020JG005998
67. Interannual Variability of the GNSS Precipitable Water Vapor in the Global Tropics Z. Baldysz et al. 10.3390/atmos12121698
68. Finding the best proxies for the solar UV irradiance T. Dudok de Wit et al. 10.1029/2009GL037825
69. Reconstruction of Helio-Latitudinal Structure of the Solar Wind Proton Speed and Density J. Sokół et al. 10.1007/s11207-015-0800-2
70. Application of Empirical Orthogonal Function Interpolation to Reconstruct Hourly Fine Particulate Matter Concentration Data in Tianjin, China H. Zhou et al. 10.1155/2020/9724367
71. Reconstruction of gappy GPS coordinate time series using empirical orthogonal functions C. Xu 10.1002/2016JB013188
72. GRACE-derived groundwater variability and its resilience in north India: impact of climatic and socioeconomic factors S. Rana & A. Chamoli 10.1080/02626667.2024.2403720
73. A review of empirical orthogonal function (EOF) with an emphasis on the co-seismic crustal deformation analysis . Neha & S. Pasari 10.1007/s11069-021-04967-4
74. A review on missing hydrological data processing Y. Gao et al. 10.1007/s12665-018-7228-6
75. Multivariate reconstruction of missing data in sea surface temperature, chlorophyll, and wind satellite fields A. Alvera‐Azcárate et al. 10.1029/2006JC003660
76. Feature-preserving interpolation and filtering of environmental time series G. Mariethoz et al. 10.1016/j.envsoft.2015.07.001
77. Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland L. Poggio et al. 10.1016/j.isprsjprs.2012.06.003
78. Deducing Energy Consumer Behavior from Smart Meter Data E. Ebeid et al. 10.3390/fi9030029
79. EM-EOF: Gap-Filling in Incomplete SAR Displacement Time Series A. Hippert-Ferrer et al. 10.1109/TGRS.2020.3015087
80. Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression R. Llamas et al. 10.3390/rs12040665
81. Towards a zero-difference approach for homogenizing GNSS tropospheric products M. Hoseini et al. 10.1007/s10291-019-0915-2
82. Climate reconstruction for the Entre‐Douro‐e‐Minho region (NWPortugal) betweenAD1626 andAD1820: synthesis of viticulture data and foraminiferal evidence J. Moreno et al. 10.1111/bor.12331
83. EdgeSense: Edge-Mediated Spatial- Temporal Crowdsensing S. Yang et al. 10.1109/ACCESS.2018.2870298
84. Sparse Mobile Crowdsensing With Differential and Distortion Location Privacy L. Wang et al. 10.1109/TIFS.2020.2975925
85. Revitalizing temperature records: A novel framework towards continuous data reconstruction using univariate and multivariate imputation techniques H. Yashas Kumar & K. Varija 10.1016/j.atmosres.2024.107754
86. Is chlorophyll‐a the best surrogate for organic matter enrichment in submicron primary marine aerosol? M. Rinaldi et al. 10.1002/jgrd.50417
87. Crustal movement derived by GNSS technique considering common mode error with MSSA M. Zhou et al. 10.1016/j.asr.2020.06.018
88. Recurrence‐Based Quantification of Dynamical Complexity in the Earth's Magnetosphere at Geospace Storm Timescales R. Donner et al. 10.1029/2018JA025318
89. Filling missing values of multi-station GNSS coordinate time series based on matrix completion Z. Bao et al. 10.1016/j.measurement.2021.109862
90. Ultra‐Oligotrophic Waters Expansion in the North Atlantic Subtropical Gyre Revealed by 21 Years of Satellite Observations F. Leonelli et al. 10.1029/2021GL096965
91. An efficient improved singular spectrum analysis for processing GNSS position time series with missing data K. Ji et al. 10.1093/gji/ggae381
92. Performance evaluation of image processing algorithms for eye blinking detection F. Attivissimo et al. 10.1016/j.measurement.2023.113767
93. Determining Extreme Still Water Levels for Design and Planning Purposes Incorporating Sea Level Rise: Sydney, Australia P. Watson 10.3390/atmos13010095
94. A novel framework for filling data gaps in groundwater level observations P. Oikonomou et al. 10.1016/j.advwatres.2018.06.008
95. Hydrological drought evaluation using GRACE satellite-based drought index over the lake basins, East Africa A. Seka et al. 10.1016/j.scitotenv.2022.158425
96. Improved singular spectrum analysis for time series with missing data Y. Shen et al. 10.5194/npg-22-371-2015
97. Big Data's Dirty Secret H. Stein & Y. Zhang 10.2139/ssrn.3205524
98. Grouping in Singular Spectrum Analysis of Time Series P. Unnikrishnan & V. Jothiprakash 10.1061/(ASCE)HE.1943-5584.0002198
99. Reconstructing the data gap between GRACE and GRACE follow-on at the basin scale using artificial neural network Y. Lai et al. 10.1016/j.scitotenv.2022.153770
100. Selection of window length for singular spectrum analysis R. Wang et al. 10.1016/j.jfranklin.2015.01.011
101. Biophysical Controls of Ecosystem‐Scale Methane Fluxes From a Subtropical Estuarine Mangrove: Multiscale, Nonlinearity, Asynchrony and Causality J. Liu et al. 10.1029/2021GB007179
102. Intrinsic vs. spurious long-range memory in high-frequency records of environmental radioactivity R. Donner et al. 10.1140/epjst/e2015-02404-1
103. Reconstruction of Time Series Data of Environmental Parameters: Methods and Application D. JIANG et al. 10.3724/SP.J.1047.2011.00439
104. Identifying multiple spatiotemporal patterns: A refined view on terrestrial photosynthetic activity M. Mahecha et al. 10.1016/j.patrec.2010.06.021
105. AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing J. Bian et al. 10.1109/TMC.2022.3178885
106. Hydroclimatic variability of opposing Late Pleistocene climates in the Levant revealed by deep Dead Sea sediments Y. Ben Dor et al. 10.5194/cp-17-2653-2021
107. Discerning dominant temporal patterns of bio-optical properties in the northwestern Mediterranean Sea (BOUSSOLE site) M. Bellacicco et al. 10.1016/j.dsr.2019.04.006
108. Integrating MODIS and CYCLOPES Leaf Area Index Products Using Empirical Orthogonal Functions D. Wang & S. Liang 10.1109/TGRS.2010.2086463
109. An enhanced singular spectrum analysis method for constructing nonsecular model of GPS site movement X. Wang et al. 10.1002/2015JB012573
110. Acceleration in European Mean Sea Level? A New Insight Using Improved Tools P. Watson 10.2112/JCOASTRES-D-16-00134.1
111. Which solar EUV indices are best for reconstructing the solar EUV irradiance? T. Dudok de Wit et al. 10.1016/j.asr.2007.04.019
112. Enhancing Soil Moisture Prediction in Drought-Prone Agricultural Regions Using Remote Sensing and Machine Learning Approaches X. Zha et al. 10.3390/rs17020181
113. A Multivariate Empirical Orthogonal Function Method to Construct Nitrate Maps in the Southern Ocean Y. Liang et al. 10.1175/JTECH-D-18-0018.1
114. Interpolation in Time Series: An Introductive Overview of Existing Methods, Their Performance Criteria and Uncertainty Assessment M. Lepot et al. 10.3390/w9100796
115. Sun-Angle Effects on Remote-Sensing Phenology Observed and Modelled Using Himawari-8 X. Ma et al. 10.3390/rs12081339
116. Application of a novel hybrid method for spatiotemporal data imputation: A case study of the Minqin County groundwater level Z. Zhang et al. 10.1016/j.jhydrol.2017.07.053
117. The application of the transfer entropy to gappy time series C. Kulp & E. Tracy 10.1016/j.physleta.2009.02.009
118. Reconstruction of gaps in the past history of solar wind parameters D. Kondrashov et al. 10.1002/2014GL059741
119. Effect of data gaps: comparison of different spectral analysis methods C. Munteanu et al. 10.5194/angeo-34-437-2016
120. Analysis of the Spatial Distribution and Common Mode Error Correlation in a Small-Scale GNSS Network A. Li et al. 10.3390/s24175731
121. Data Spike Cleaning with MSSA J. Dash & Y. Zhang 10.2139/ssrn.2811696
122. Interannual hydrological variability in the Mississippi River Basin based on contemporary geodetic measurements and land surface models D. Ren et al. 10.1016/j.jhydrol.2023.130232
123. Improved multichannel singular spectrum analysis for post-processing GRACE monthly gravity field models F. Wang et al. 10.1093/gji/ggaa339
124. Temporal patterns of water quality in the Pantanal floodplain and its contributing Cerrado upland rivers: implications for the interpretation of freshwater integrity P. Zeilhofer et al. 10.1007/s11273-016-9497-8
125. A Cloud Framework for High Spatial Resolution Soil Moisture Mapping from Radar and Optical Satellite Imageries T. Guo et al. 10.1007/s11769-023-1365-x
126. Summertime Primary and Secondary Contributions to Southern Ocean Cloud Condensation Nuclei K. Fossum et al. 10.1038/s41598-018-32047-4
127. An empirical stochastic model of sea-surface temperatures and surface winds over the Southern Ocean S. Kravtsov et al. 10.5194/os-7-755-2011
128. Updated Mean Sea-Level Analysis: South Korea P. Watson 10.2112/JCOASTRES-D-18-00138.1
129. Analyzing Error Bounds for Seasonal-Trend Decomposition of Antarctica Temperature Time Series Involving Missing Data C. Kwok et al. 10.3390/atmos14020193
130. Characterizing ecosystem-atmosphere interactions from short to interannual time scales M. Mahecha et al. 10.5194/bg-4-743-2007
131. Long-term prediction of polar motion using a combined SSA and ARMA model Y. Shen et al. 10.1007/s00190-017-1065-3
132. Uncertainty Assessments of Load Deformation from Different GPS Time Series Products, GRACE Estimates and Model Predictions: A Case Study over Europe S. Wang et al. 10.3390/rs13142765
133. Gap Filling of Precipitation Data by SSA - Singular Spectrum Analysis A. Filho & G. Lima 10.1088/1742-6596/759/1/012085
134. Foraminiferal evidence of major environmental changes driven by the sun-climate coupling in the western Portuguese coast (14th century to present) J. Moreno et al. 10.1016/j.ecss.2018.11.030
135. Time Series Imputation via L1 Norm-Based Singular Spectrum Analysis M. Kalantari et al. 10.1142/S0219477518500177
136. Filling the Data Gaps Within GRACE Missions Using Singular Spectrum Analysis S. Yi & N. Sneeuw 10.1029/2020JB021227
137. Singular spectral and control chart analysis of soil radon and thoron time series for forecasting seismic activities A. Rasheed et al. 10.1016/j.jastp.2023.106108
138. Simulating the Effect of Climate Extremes on Groundwater Flow Through a Lakebed M. Virdi et al. 10.1111/j.1745-6584.2012.00969.x
139. Reconstruction of geodetic time series with missing data and time-varying seasonal signals using Gaussian process for machine learning K. Xu et al. 10.1007/s10291-024-01616-8
140. An operational approach to forecast the Earth’s radiation belts dynamics G. Bernoux et al. 10.1051/swsc/2021045
141. An Update on the Status of Mean Sea Level Rise around the Korean Peninsula P. Watson & H. Lim 10.3390/atmos11111153
142. Inter-comparisons of Spatially Interpolated Short-term and Long-term PM2.5 Concentrations of Local Authorities in South Korea 2015~2017 K. Son et al. 10.5572/KOSAE.2020.36.2.185
143. A method for filling gaps in solar irradiance and solar proxy data T. Dudok de Wit 10.1051/0004-6361/201117024
144. Interpolation of Missing Values in AMSR-E Soil Moisture Data Using Modified SSA A. Turlapaty et al. 10.1109/LGRS.2010.2071852
145. Middle atmosphere response to the solar cycle in irradiance and ionizing particle precipitation K. Semeniuk et al. 10.5194/acp-11-5045-2011
146. Spectral modeling of time series with missing data P. Rodrigues & M. de Carvalho 10.1016/j.apm.2012.09.040
147. A new hybrid model for filling gaps and forecast in sea level: application to the eastern English Channel and the North Atlantic Sea (western France) I. Turki et al. 10.1007/s10236-015-0824-z
148. Updated Mean Sea-Level Analysis: Australia P. Watson 10.2112/JCOASTRES-D-20-00026.1
149. Spatiotemporal Filling of Missing Data in Remotely Sensed Displacement Measurement Time Series A. Hippert-Ferrer et al. 10.1109/LGRS.2020.3015149
150. 2D singular spectrum analysis for hydrological data processing R. Korotchenko & A. Kosheleva 10.1016/j.rsma.2020.101347
151. Data reconstruction for complex flows using AI: Recent progress, obstacles, and perspectives M. Buzzicotti 10.1209/0295-5075/acc88c
152. Reconstruction of sea surface temperature by means of DINEOF: a case study during the fishing season in the Bay of Biscay U. Ganzedo et al. 10.1080/01431160903491420
153. A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations G. Wang et al. 10.1016/j.envsoft.2011.10.015
154. Measuring inequality persistence in OECD 1963–2008 using fractional integration and cointegration L. Gil-Alana et al. 10.1016/j.qref.2018.12.006
155. Data-driven reconstruction of nonlinear dynamics from sparse observation K. Yeo 10.1016/j.jcp.2019.06.039
156. FOCCA: Fog–cloud continuum architecture for data imputation and load balancing in Smart Grids M. Barbosa et al. 10.1016/j.comnet.2024.111031
157. Modeling the propagation characteristics of chorus using CRRES suprathermal electron fluxes J. Bortnik et al. 10.1029/2006JA012237
158. Orbital cycles in a Late Cretaceous shallow platform (Iberian Ranges, Spain) J. Gil et al. 10.1016/j.palaeo.2008.12.017
159. Gappy Spectral Proper Orthogonal Decomposition A. Nekkanti & O. Schmidt 10.2139/ssrn.4159544
160. A forecasting algorithm for Singular Spectrum Analysis based on bootstrap Linear Recurrent Formula coefficients D. Rahmani 10.1142/S2335680414500197
161. Addressing local sparsity in massive agricultural machinery trajectories: A BiLSTM-GRU approach W. Zhai et al. 10.1016/j.compag.2024.109376
162. Evidence against a long-term control on Earth climate by Galactic Cosmic Ray Flux L. Lanci et al. 10.1016/j.gloplacha.2019.103095
163. Transient Variations in Glacial Mass Near Upernavik Isstrøm (West Greenland) Detected by the Combined Use of GPS and GRACE Data B. Zhang et al. 10.1002/2017JB014529
164. Bridging the data gap between GRACE and GRACE-FO using artificial neural network in Greenland B. Zhang et al. 10.1016/j.jhydrol.2022.127614
165. Global modelling of direct and indirect effects of sea spray aerosol using a source function encapsulating wave state A. Partanen et al. 10.5194/acp-14-11731-2014
166. Conditioned empirical orthogonal functions for interpolation of runoff time series along rivers: Application to reconstruction of missing monthly records L. Li et al. 10.1016/j.jhydrol.2017.11.014
167. Evaluating the future total water storage change and hydrological drought under climate change over lake basins, East Africa A. Seka et al. 10.1016/j.jclepro.2024.141552
168. Singular spectrum-based matrix completion for time series recovery and prediction G. Tsagkatakis et al. 10.1186/s13634-016-0360-0
169. Fault-related fold kinematics recorded by terrestrial growth strata, Sant Llorenç de Morunys, Pyrenees Mountains, NE Spain J. Carrigan et al. 10.1016/j.jsg.2016.09.003
170. Numerical Simulation and Forecasting of Water Level for Qinghai Lake Using Multi-Altimeter Data Between 2002 and 2012 J. Liao et al. 10.1109/JSTARS.2013.2291516
171. A physics‐informed Bayesian framework for characterizing ground motion process in the presence of missing data Y. Chen et al. 10.1002/eqe.3877
172. Application of singular spectrum analysis in reconstruction of the annual signal from GRACE C. Zhu et al. 10.1515/jag-2020-0005
173. 3D seismic data de-noising and reconstruction using Multichannel Time Slice Singular Spectrum Analysis R. Rekapalli et al. 10.1016/j.jappgeo.2017.04.001
174. Downscaling climate variability associated with quasi-periodic climate signals: A new statistical approach using MSSA J. Cañón et al. 10.1016/j.jhydrol.2010.12.010
175. Revealing the spatiotemporal patterns of water vapor and its link to North Atlantic Oscillation over Greenland using GPS and ERA5 data Y. Liu et al. 10.1016/j.scitotenv.2024.170596
176. Singular Spectrum Analytic (SSA) Decomposition and Reconstruction of Flowering: Signatures of Climatic Impacts I. Hudson & M. Keatley 10.1007/s10666-016-9516-4
177. Filling the gap of seismic ambient noise taken from the earth by modification of the frequency content of the existing time series M. Nameni et al. 10.1007/s12517-024-11863-1
178. An analog period method for gap‐filling of latent heat flux measurements L. Hoeltgebaum et al. 10.1002/hyp.14105
179. Complex system approach to interpretation of monitoring time series: two case histories from NW Bohemia Z. Vařilová et al. 10.1007/s10346-010-0243-7
180. Principal components of short-term variability in the ultraviolet albedo of Venus P. Kopparla et al. 10.1051/0004-6361/201935388
181. Gravity tides extracted from SSA-denoised superconducting gravity data with the harmonic analysis: a case study at Wuhan station, China W. Gao et al. 10.1007/s40328-020-00310-8
182. Gappy spectral proper orthogonal decomposition A. Nekkanti & O. Schmidt 10.1016/j.jcp.2023.111950
183. Sensor noise suppression A. de Cheveigné & J. Simon 10.1016/j.jneumeth.2007.09.012
184. Atlantic Multidecadal Oscillation and Northern Hemisphere’s climate variability M. Wyatt et al. 10.1007/s00382-011-1071-8
185. Status of Mean Sea Level Rise around the USA (2020) P. Watson 10.3390/geohazards2020005
186. Singular spectrum analysis for heterogeneous time series by taking its formal errors into account F. Wang 10.13168/AGG.2018.0029
187. Particularities and commonalities of singular spectrum analysis as a method of time series analysis and signal processing N. Golyandina 10.1002/wics.1487
188. Assessing the Potential Benefits of the Geostationary Vantage Point for Generating Daily Chlorophyll-a Maps in the Baltic Sea M. Bellacicco et al. 10.3390/rs10121944
189. Infilling missing precipitation records – A comparison of a new copula-based method with other techniques A. Bárdossy & G. Pegram 10.1016/j.jhydrol.2014.08.025
190. Assessing coupling between lakes and layered aquifers in a complex Pleistocene landscape based on water level dynamics G. Lischeid et al. 10.1016/j.advwatres.2010.08.002
191. An effective approach for mapping permafrost in a large area using subregion maps and satellite data J. Hu et al. 10.1002/ppp.2068
192. CUTOFF: A spatio-temporal imputation method L. Feng et al. 10.1016/j.jhydrol.2014.11.012
193. Reconstruction of groundwater levels to impute missing values using singular and multichannel spectrum analysis: application to the Ardabil Plain, Iran M. Taie Semiromi & M. Koch 10.1080/02626667.2019.1669793
194. An Innovative Method of Singular Spectrum Analysis to Conduct Gap-filling and Denoising on Time Series Data J. Yang & A. Buu 10.6339/25-JDS1164
195. Technical note: Using long short-term memory models to fill data gaps in hydrological monitoring networks H. Ren et al. 10.5194/hess-26-1727-2022
196. Quantitatively Analyzing the Impacts of Seasonal Water Storage Changes in the Three Gorges Reservoir on Nearby Crust Y. Lai et al. 10.1007/s00024-021-02928-3
197. Improved interpolation method based on singular spectrum analysis iteration and its application to missing data recovery H. Wang et al. 10.1007/s10483-008-1010-x
198. Gap filling and noise reduction of unevenly sampled data by means of the Lomb-Scargle periodogram K. Hocke & N. Kämpfer 10.5194/acp-9-4197-2009
199. A novel spatial filter to reduce north–south striping noise in GRACE spherical harmonic coefficients S. Yi & N. Sneeuw 10.1007/s00190-022-01614-z
200. Regime Changes in Global Sea Surface Salinity Trend A. Aretxabaleta et al. 10.3390/jmse5040057
201. Robust Nonparametric Regression for Heavy-Tailed Data F. Gorji & M. Aminghafari 10.1007/s13253-019-00382-2
202. Influence of physiological phenology on the seasonal pattern of ecosystem respiration in deciduous forests M. Migliavacca et al. 10.1111/gcb.12671
203. Gap-filling snow-depth time-series with Kalman Filtering-Smoothing and Expectation Maximization: Proof of concept using spatially dense wireless-sensor-network data F. Avanzi et al. 10.1016/j.coldregions.2020.103066
204. Deep Learning for Imputation and Forecasting Tidal Level C. Yang et al. 10.1109/JOE.2021.3073931
205. A gap-filling algorithm selection strategy for GRACE and GRACE Follow-On time series based on hydrological signal characteristics of the individual river basins H. Karimi et al. 10.1515/jogs-2022-0129
206. Gap-Filling of MODIS Time Series Land Surface Temperature (LST) Products Using Singular Spectrum Analysis (SSA) H. Ghafarian Malamiri et al. 10.3390/atmos9090334
207. Revisiting the Intraseasonal Variability of Chlorophyll-a in the Adjacent Luzon Strait With a New Gap-Filled Remote Sensing Data Set T. Wang et al. 10.1109/TGRS.2021.3067646
208. On the imputation of missing data for road traffic forecasting: New insights and novel techniques I. Laña et al. 10.1016/j.trc.2018.02.021
209. A modeling study of ≥2 MeV electron fluxes in GEO at different prediction time scales based on LSTM and transformer networks X. Sun et al. 10.1051/swsc/2024021
210. Reanalyses of the radiation belt electron phase space density using nearly equatorial CRRES and polar‐orbiting Akebono satellite observations B. Ni et al. 10.1029/2008JA013933
211. Randomized singular spectrum analysis for long time series P. Rodrigues et al. 10.1080/00949655.2018.1462810
212. Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect X. Ma et al. 10.1016/j.rse.2013.07.030
213. Gap filling of solar wind data by singular spectrum analysis D. Kondrashov et al. 10.1029/2010GL044138
214. Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types H. Shi et al. 10.1016/j.ecolind.2016.08.022
215. Use of recent geoid models to estimate mean dynamic topography and geostrophic currents in South Atlantic and Brazil Malvinas confluence A. Lopes & J. Harari 10.1590/S1679-87592012000100005
216. Modelling the Abundances of Two Major Culicoides (Diptera: Ceratopogonidae) Species in the Niayes Area of Senegal M. Diarra et al. 10.1371/journal.pone.0131021
217. Speleothem stable isotope records for east-central Europe: resampling sedimentary proxy records to obtain evenly spaced time series with spectral guidance I. Hatvani et al. 10.5194/essd-10-139-2018
218. Hydrological Drought Evaluation Using Grace Satellite-Based Drought Index Over the Lake Basins, East Africa A. Seka et al. 10.2139/ssrn.4140140
219. Technology and social equality in the United States M. Skare & M. Porada-Rochoń 10.1016/j.techfore.2022.121947
220. Harmonic cross-correlation decomposition for multivariate time series T. Zerenner et al. 10.1103/PhysRevE.103.062213
221. A 4‐year zonal climatology of lower tropospheric CO2 derived from ocean‐only Atmospheric Infrared Sounder observations L. Strow & S. Hannon 10.1029/2007JD009713
222. Evaluating the Performance of Multiple Imputation Methods for Handling Missing Values in Time Series Data: A Study Focused on East Africa, Soil-Carbonate-Stable Isotope Data H. Hassani et al. 10.3390/stats2040032
223. Extreme Value Analysis of Ocean Still Water Levels along the USA East Coast—Case Study (Key West, Florida) P. Watson 10.3390/coasts3040018
224. Glitches in time C. Haley 10.1038/532450a
225. Data‐Driven Gap Filling and Spatio‐Temporal Filtering of the GRACE and GRACE‐FO Records L. Gauer et al. 10.1029/2022JB025561
226. A review of uncertainty in in situ measurements and data sets of sea surface temperature J. Kennedy 10.1002/2013RG000434