152 citations as recorded by crossref.

1. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
2. Snow depth on Arctic sea ice from historical in situ data E. Shalina & S. Sandven 10.5194/tc-12-1867-2018
3. Thin Arctic sea ice in L-band observations and an ocean reanalysis S. Tietsche et al. 10.5194/tc-12-2051-2018
4. Insights on Sea Ice Data Assimilation from Perfect Model Observing System Simulation Experiments Y. Zhang et al. 10.1175/JCLI-D-17-0904.1
5. Record Arctic Cyclone of January 2022: Characteristics, Impacts, and Predictability E. Blanchard‐Wrigglesworth et al. 10.1029/2022JD037161
6. MODIS Sea Ice Thickness and Open Water–Sea Ice Charts over the Barents and Kara Seas for Development and Validation of Sea Ice Products from Microwave Sensor Data M. Mäkynen & J. Karvonen 10.3390/rs9121324
7. Improving Arctic sea ice seasonal outlook by ensemble prediction using an ice-ocean model Q. Yang et al. 10.1016/j.atmosres.2019.04.021
8. The spatiotemporal patterns of sea ice in the Bohai Sea during the winter seasons of 2000–2016 L. Ouyang et al. 10.1080/17538947.2017.1365957
9. Seasonal Arctic Sea Ice Prediction Using a Newly Developed Fully Coupled Regional Model With the Assimilation of Satellite Sea Ice Observations C. Yang et al. 10.1029/2019MS001938
10. An improved regional coupled modeling system for Arctic sea ice simulation and prediction: a case study for 2018 C. Yang et al. 10.5194/gmd-15-1155-2022
11. Sea ice export through the Fram Strait derived from a combined model and satellite data set C. Min et al. 10.5194/tc-13-3209-2019
12. Spaceborne GNSS Reflectometry K. Yu et al. 10.3390/rs14071605
13. Advancing Polar Prediction Capabilities on Daily to Seasonal Time Scales T. Jung et al. 10.1175/BAMS-D-14-00246.1
14. C- and L-band SAR signatures of Arctic sea ice during freeze-up M. Mahmud et al. 10.1016/j.rse.2022.113129
15. Quality assessment of the TOPAZ4 reanalysis in the Arctic over the period 1991–2013 J. Xie et al. 10.5194/os-13-123-2017
16. Satellite Observations for Detecting and Forecasting Sea-Ice Conditions: A Summary of Advances Made in the SPICES Project by the EU’s Horizon 2020 Programme M. Mäkynen et al. 10.3390/rs12071214
17. Antarctic Sea-Ice Thickness Retrieval from ICESat: Inter-Comparison of Different Approaches S. Kern et al. 10.3390/rs8070538
18. Satellite‐observed drop of Arctic sea ice growth in winter 2015–2016 R. Ricker et al. 10.1002/2016GL072244
19. The Challenge of Arctic Sea Ice Thickness Prediction by ECMWF on Subseasonal Time Scales Y. Xiu et al. 10.1029/2021GL097476
20. Improving sea ice thickness estimates by assimilating CryoSat‐2 and SMOS sea ice thickness data simultaneously L. Mu et al. 10.1002/qj.3225
21. Snow wetness and density retrieved from L-band satellite radiometer observations over a site in the West Greenland ablation zone D. Houtz et al. 10.1016/j.rse.2019.111361
22. Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System X. Liang et al. 10.1029/2019JC015073
23. SMOS-derived Antarctic thin sea ice thickness: data description and validation in the Weddell Sea L. Kaleschke et al. 10.5194/essd-16-3149-2024
24. Arctic Ice Ocean Prediction System: evaluating sea-ice forecasts duringXuelong's first trans-Arctic Passage in summer 2017 L. Mu et al. 10.1017/jog.2019.55
25. Dynamic Preconditioning of the Minimum September Sea-Ice Extent J. Williams et al. 10.1175/JCLI-D-15-0515.1
26. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al. 10.5194/tc-12-921-2018
27. Employment of an Arctic sea-ice data assimilation scheme in the coupled climate system model FGOALS-f3-L and its preliminary results Y. Guo et al. 10.1016/j.aosl.2024.100553
28. An Arctic sea ice multi-step classification based on GNSS-R data from the TDS-1 mission N. Rodriguez-Alvarez et al. 10.1016/j.rse.2019.05.021
29. Local analytical optimal nudging for assimilating AMSR2 sea ice concentration in a high-resolution pan-Arctic coupled ocean (HYCOM 2.2.98) and sea ice (CICE 5.1.2) model K. Wang et al. 10.5194/tc-17-4487-2023
30. Comparison of Arctic Sea Ice Thickness from Satellites, Aircraft, and PIOMAS Data X. Wang et al. 10.3390/rs8090713
31. Arctic sea ice in the global eddy-permitting ocean reanalysis ORAP5 S. Tietsche et al. 10.1007/s00382-015-2673-3
32. Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data M. Mäkynen & M. Similä 10.3390/rs16091600
33. A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region Y. Zhang et al. 10.1109/JSTARS.2024.3390618
34. Assessment of Machine Learning-Driven Retrievals of Arctic Sea Ice Thickness from L-Band Radiometry Remote Sensing F. Hernández-Macià et al. 10.3390/computers14080305
35. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. 10.1080/01431161.2021.1897183
36. Lead detection in Arctic sea ice from CryoSat-2: quality assessment, lead area fraction and width distribution A. Wernecke & L. Kaleschke 10.5194/tc-9-1955-2015
37. Assimilation of semi-qualitative sea ice thickness data with the EnKF-SQ: a twin experiment A. Shah et al. 10.1080/16000870.2019.1697166
38. High-resolution regional sea-ice model based on the discrete element method with boundary conditions from a large-scale model for ice drift A. Tsarau et al. 10.1017/aog.2024.26
39. The Arctic Sea Ice Thickness Change in CMIP6’s Historical Simulations L. Chen et al. 10.1007/s00376-022-1460-4
40. Sea Ice Thickness Retrieval Based on GOCI Remote Sensing Data: A Case Study F. Gu et al. 10.3390/rs13050936
41. Retrieval of sea ice thickness using FY-3E/GNOS-II data Y. Xie & Q. Yan 10.1186/s43020-024-00138-5
42. Improved Sea Ice Fraction Characterization for L-Band Observations by the Aquarius Radiometers E. Dinnat & L. Brucker 10.1109/TGRS.2016.2622011
43. Transiting consolidated ice strongly influenced polynya area during a shrink event in Terra Nova Bay in 2013 Y. Lin et al. 10.1038/s43247-023-00712-w
44. Benefits of sea ice initialization for the interannual-to-decadal climate prediction skill in the Arctic in EC-Earth3 T. Tian et al. 10.5194/gmd-14-4283-2021
45. Copernicus Marine Service Ocean State Report K. von Schuckmann et al. 10.1080/1755876X.2018.1489208
46. Remote Sensing of Sea Surface Salinity: Comparison of Satellite and In Situ Observations and Impact of Retrieval Parameters E. Dinnat et al. 10.3390/rs11070750
47. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. 10.1007/s13131-023-2210-x
48. Bias correction of Arctic sea ice thickness products based on factor selection and machine learning methods H. Wu et al. 10.1016/j.apor.2024.104069
49. A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data R. Ricker et al. 10.5194/tc-11-1607-2017
50. Assessing the current and future Arctic Ocean observing system with observing system simulating experiments G. Lyu et al. 10.1002/qj.4044
51. Estimation of summer pan-Arctic ice draft from satellite passive microwave observations J. Kim et al. 10.1016/j.rse.2023.113662
52. Winter sea ice export from the Laptev Sea preconditions the local summer sea ice cover and fast ice decay P. Itkin & T. Krumpen 10.5194/tc-11-2383-2017
53. The 2017 Reversal of the Beaufort Gyre: Can Dynamic Thickening of a Seasonal Ice Cover During a Reversal Limit Summer Ice Melt in the Beaufort Sea? D. Babb et al. 10.1029/2020JC016796
54. Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
55. Weddell Sea polynya analysis using SMOS–SMAP apparent sea ice thickness retrieval A. Mchedlishvili et al. 10.5194/tc-16-471-2022
56. The Arctic Subpolar Gyre sTate Estimate: Description and Assessment of a Data‐Constrained, Dynamically Consistent Ocean‐Sea Ice Estimate for 2002–2017 A. Nguyen et al. 10.1029/2020MS002398
57. Thermodynamical and Dynamical Impacts of an Intense Cyclone on Arctic Sea Ice Z. Tian et al. 10.1029/2022JC018436
58. On the effects of the timing of an intense cyclone on summertime sea-ice evolution in the Arctic Z. Tian et al. 10.1017/aog.2024.15
59. Towards reliable Arctic sea ice prediction using multivariate data assimilation J. Liu et al. 10.1016/j.scib.2018.11.018
60. Year-round impact of winter sea ice thickness observations on seasonal forecasts B. Balan-Sarojini et al. 10.5194/tc-15-325-2021
61. Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
62. Studies of Sea-Ice Thickness and Salinity Retrieval Using 0.5–2 GHz Microwave Radiometry O. Demir et al. 10.1109/TGRS.2022.3168646
63. Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions S. CHEN et al. 10.1016/j.accre.2022.09.005
64. Estimation of Thin-Ice Thickness and Discrimination of Ice Type From AMSR-E Passive Microwave Data K. Nakata et al. 10.1109/TGRS.2018.2853590
65. Assessment of contemporary satellite sea ice thickness products for Arctic sea ice H. Sallila et al. 10.5194/tc-13-1187-2019
66. Sea ice thickness in the Eastern Canadian Arctic: Hudson Bay Complex & Baffin Bay J. Landy et al. 10.1016/j.rse.2017.08.019
67. Improving L-band radiation model and representation of small-scale variability to simulate brightness temperature of sea ice L. Zhou et al. 10.1080/01431161.2017.1371862
68. Combined SMAP–SMOS thin sea ice thickness retrieval C. Paţilea et al. 10.5194/tc-13-675-2019
69. Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images X. Zhang et al. 10.5194/tc-10-1529-2016
70. A simple model for daily basin-wide thermodynamic sea ice thickness growth retrieval J. Anheuser et al. 10.5194/tc-16-4403-2022
71. Estimation of Daily Arctic Winter Sea Ice Thickness from Thermodynamic Parameters Using a Self-Attention Convolutional Neural Network Z. Liang et al. 10.3390/rs15071887
72. Arctic‐Wide Sea Ice Thickness Estimates From Combining Satellite Remote Sensing Data and a Dynamic Ice‐Ocean Model with Data Assimilation During the CryoSat‐2 Period L. Mu et al. 10.1029/2018JC014316
73. Thin Ice Detection in the Barents and Kara Seas Using AMSR2 High-Frequency Radiometer Data M. Makynen & M. Simila 10.1109/TGRS.2019.2913283
74. Essential gaps and uncertainties in the understanding of the roles and functions of Arctic sea ice S. Gerland et al. 10.1088/1748-9326/ab09b3
75. Circumpolar Thin Arctic Sea Ice Thickness and Small-Scale Roughness Retrieval Using Soil Moisture and Ocean Salinity and Soil Moisture Active Passive Observations S. Jo et al. 10.3390/rs11232835
76. On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data L. Zhou et al. 10.5194/tc-12-993-2018
77. Early Winter Triggering of the Maud Rise Polynya L. Zhou et al. 10.1029/2021GL096246
78. AMSR2 Thin Ice Detection Algorithm for the Arctic Winter Conditions M. Makynen & M. Simila 10.1109/TGRS.2022.3142966
79. Sea‐Ice Forecasts With an Upgraded AWI Coupled Prediction System L. Mu et al. 10.1029/2022MS003176
80. Retrieving Sea Level and Freeboard in the Arctic: A Review of Current Radar Altimetry Methodologies and Future Perspectives G. Quartly et al. 10.3390/rs11070881
81. Retrieval of sea ice thickness from FY-3E data using Random Forest method H. Li et al. 10.1016/j.asr.2024.03.061
82. Evaluation and fusion of multi-source sea ice thickness products with limited in-situ observations T. Li et al. 10.3389/fmars.2024.1464391
83. Ice Sheet and Sea Ice Ultrawideband Microwave radiometric Airborne eXperiment (ISSIUMAX) in Antarctica: first results from Terra Nova Bay M. Brogioni et al. 10.5194/tc-17-255-2023
84. An improved algorithm for retrieving thin sea ice thickness in the Arctic Ocean from SMOS and SMAP L-band radiometer data L. He et al. 10.1007/s13131-023-2280-9
85. Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model H. Kheyrollah Pour et al. 10.1109/TGRS.2017.2718533
86. Evaluation of AMSR-E Thin Ice Thickness Algorithm from a Mooring-Based Observation: How Can the Satellite Observe a Sea Ice Field with Nonuniform Thickness Distribution? H. Kashiwase et al. 10.1175/JTECH-D-18-0218.1
87. Impacts of Assimilating Satellite Sea Ice Concentration and Thickness on Arctic Sea Ice Prediction in the NCEP Climate Forecast System Z. Chen et al. 10.1175/JCLI-D-17-0093.1
88. Toward Quantifying the Increasing Accessibility of the Arctic Northeast Passage in the Past Four Decades C. Min et al. 10.1007/s00376-022-2040-3
89. Drift-aware sea ice thickness maps from satellite remote sensing R. Ricker et al. 10.5194/tc-19-3785-2025
90. Snow thickness retrieval from L-band brightness temperatures: a model comparison N. Maass et al. 10.3189/2015AoG69A886
91. Advancing Short‐Term Forecasts of Ice Conditions in the Beaufort Sea M. Yaremchuk et al. 10.1029/2018JC014581
92. Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer J. Lee et al. 10.1109/JSTARS.2025.3561257
93. Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation S. FRITZNER et al. 10.1017/jog.2018.33
94. Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar J. Karvonen et al. 10.5194/tc-16-1821-2022
95. Effects of decimetre-scale surface roughness on L-band brightness temperature of sea ice M. Miernecki et al. 10.5194/tc-14-461-2020
96. A Multi-Sensor and Modeling Approach for Mapping Light Under Sea Ice During the Ice-Growth Season J. Stroeve et al. 10.3389/fmars.2020.592337
97. A fully coupled Arctic sea-ice–ocean–atmosphere model (ArcIOAM v1.0) based on C-Coupler2: model description and preliminary results S. Ren et al. 10.5194/gmd-14-1101-2021
98. Arctic sea ice volume export through the Fram Strait: variation and its effect factors H. Li et al. 10.1007/s13131-022-2075-4
99. Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
100. Data Synergy between Altimetry and L-Band Passive Microwave Remote Sensing for the Retrieval of Sea Ice Parameters—A Theoretical Study of Methodology S. Xu et al. 10.3390/rs9101079
101. An exemplary case of a bromine explosion event linked to cyclone development in the Arctic A. Blechschmidt et al. 10.5194/acp-16-1773-2016
102. Ensemble-based estimation of sea-ice volume variations in the Baffin Bay C. Min et al. 10.5194/tc-15-169-2021
103. Estimates of Sea Ice Mechanical Properties in the Kara Sea C. Duan et al. 10.1007/s00024-020-02543-8
104. Antarctic Landfast Sea Ice: A Review of Its Physics, Biogeochemistry and Ecology A. Fraser et al. 10.1029/2022RG000770
105. Soil Moisture and Sea Surface Salinity Derived from Satellite-Borne Sensors J. Boutin et al. 10.1007/s10712-023-09798-5
106. Estimating thin ice thickness around Svalbard using MODIS satellite imagery Ø. Rudjord et al. 10.1080/04353676.2022.2070158
107. First results of the ARIEL L-band radiometer on the MOSAiC Arctic Expedition during the late summer and autumn period C. Gabarró et al. 10.1525/elementa.2022.00031
108. Improvements in September Arctic Sea Ice Predictions Via Assimilation of Summer CryoSat‐2 Sea Ice Thickness Observations Y. Zhang et al. 10.1029/2023GL105672
109. Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season G. Smith et al. 10.3389/fmars.2019.00429
110. Brief communication: The challenge and benefit of using sea ice concentration satellite data products with uncertainty estimates in summer sea ice data assimilation Q. Yang et al. 10.5194/tc-10-761-2016
111. Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration J. Lee & Y. Ham 10.1038/s41612-023-00402-6
112. Ocean Remote Sensing Using Spaceborne GNSS-Reflectometry: A Review J. Bu et al. 10.1109/JSTARS.2024.3418429
113. ESA's Soil Moisture and Ocean Salinity mission: From science to operational applications S. Mecklenburg et al. 10.1016/j.rse.2015.12.025
114. Impact of assimilating a merged sea-ice thickness from CryoSat-2 and SMOS in the Arctic reanalysis J. Xie et al. 10.5194/tc-12-3671-2018
115. Evaluation of sea-ice thickness reanalysis data from the coupled ocean-sea-ice data assimilation system TOPAZ4 Y. Xiu et al. 10.1017/jog.2020.110
116. Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) E. Fiedler et al. 10.5194/tc-16-61-2022
117. Validation of SMOS sea ice thickness retrieval in the northern Baltic Sea N. Maaß et al. 10.3402/tellusa.v67.24617
118. SMOS sea ice product: Operational application and validation in the Barents Sea marginal ice zone L. Kaleschke et al. 10.1016/j.rse.2016.03.009
119. Benefits of assimilating thin sea ice thickness from SMOS into the TOPAZ system J. Xie et al. 10.5194/tc-10-2745-2016
120. A climatology of thermodynamic vs. dynamic Arctic wintertime sea ice thickness effects during the CryoSat-2 era J. Anheuser et al. 10.5194/tc-17-2871-2023
121. Bivariate sea-ice assimilation for global-ocean analysis–reanalysis A. Cipollone et al. 10.5194/os-19-1375-2023
122. Evaluation of the ArcIOPS sea ice forecasts during 2021–2023 X. Liang et al. 10.3389/feart.2024.1477626
123. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. 10.1017/jog.2019.26
124. Sea Ice Thickness Estimation Based on Regression Neural Networks Using L-Band Microwave Radiometry Data from the FSSCat Mission C. Herbert et al. 10.3390/rs13071366
125. Multidecadal Arctic sea ice thickness and volume derived from ice age Y. Liu et al. 10.5194/tc-14-1325-2020
126. Baltic sea ice thickness estimation based on X-band SAR data and background information J. Karvonen & B. Cheng 10.1017/aog.2024.24
127. Toward a Data Assimilation System for Seamless Sea Ice Prediction Based on the AWI Climate Model L. Mu et al. 10.1029/2019MS001937
128. Satellite-Based Data Assimilation System for the Initialization of Arctic Sea Ice Concentration and Thickness Using CICE5 J. Lee & Y. Ham 10.3389/fclim.2022.797733
129. Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness C. Soriot et al. 10.1038/s41598-024-70136-9
130. A Consistent Combination of Brightness Temperatures from SMOS and SMAP over Polar Oceans for Sea Ice Applications A. Schmitt & L. Kaleschke 10.3390/rs10040553
131. Impact of assimilating sea ice concentration, sea ice thickness and snow depth in a coupled ocean–sea ice modelling system S. Fritzner et al. 10.5194/tc-13-491-2019
132. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. 10.3390/rs10122038
133. Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Q. Zhang et al. 10.3390/rs15102537
134. Statistical predictability of the Arctic sea ice volume anomaly: identifying predictors and optimal sampling locations L. Ponsoni et al. 10.5194/tc-14-2409-2020
135. Theoretical study of ice cover phenology at large freshwater lakes based on SMOS MIRAS data V. Tikhonov et al. 10.5194/tc-12-2727-2018
136. Impacts on sea ice analyses from the assumption of uncorrelated ice thickness observation errors: Experiments using a 1D toy model G. Stonebridge et al. 10.1080/16000870.2018.1445379
137. Effect of Snow Salinity on CryoSat‐2 Arctic First‐Year Sea Ice Freeboard Measurements V. Nandan et al. 10.1002/2017GL074506
138. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al. 10.3390/rs12040650
139. Monitoring Arctic thin ice: a comparison between CryoSat-2 SAR altimetry data and MODIS thermal-infrared imagery F. Müller et al. 10.5194/tc-17-809-2023
140. GNSS-R Sea Ice Thickness Retrieval Based on Ensemble Learning Method Y. Hu et al. 10.1109/TGRS.2025.3558734
141. Evaluating Arctic Thin Ice Thickness Retrieved from Latest Version of Multisource Satellite Products H. Li et al. 10.3390/rs17101680
142. DASSO: a data assimilation system for the Southern Ocean that utilizes both sea-ice concentration and thickness observations H. Luo et al. 10.1017/jog.2021.57
143. Measurements of 540–1740 MHz Brightness Temperatures of Sea Ice During the Winter of the MOSAiC Campaign O. Demir et al. 10.1109/TGRS.2021.3105360
144. Improving Arctic Sea-Ice Thickness Estimates with the Assimilation of CryoSat-2 Summer Observations C. Min et al. 10.34133/olar.0025
145. Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST S. Prasad et al. 10.5194/tc-12-3949-2018
146. Satellite-based sea ice thickness changes in the Laptev Sea from 2002 to 2017: comparison to mooring observations H. Belter et al. 10.5194/tc-14-2189-2020
147. Retrieval of thin-ice thickness in arctic marginal seas through a combination of thermal and optical observations from polar orbiting satellites Z. Suo et al. 10.1080/15481603.2025.2567117
148. Multisensor data fusion of operational sea ice observations K. Wang et al. 10.3389/fmars.2024.1366002
149. Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
150. Possibilities of investigating ice development of the Kara sea based on CryoSat-2 and SMOS data V. Kirillov et al. 10.30758/0555-2648-2023-69-1-10-28
151. Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations M. Huntemann et al. 10.5194/tc-8-439-2014
152. Weekly gridded Aquarius L-band radiometer/scatterometer observations and salinity retrievals over the polar regions – Part 2: Initial product analysis L. Brucker et al. 10.5194/tc-8-915-2014