Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-251-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-251-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Brief communication
| 
27 Jan 2020
Brief communication |
| 27 Jan 2020
| 27 Jan 2020
Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates
Robbie D. C. Mallett
CORRESPONDING AUTHOR
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Isobel R. Lawrence
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
Julienne C. Stroeve
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
National Snow and Ice Data Center, University of Colorado, Boulder, CO, USA
Centre for Earth Observation Science, University of Manitoba, Winnipeg, Canada
Jack C. Landy
School of Geographical Sciences, University of Bristol, Bristol, UK
Michel Tsamados
Centre for Polar Observation and Modelling, Earth Sciences, University College London, London, UK
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Cited
26 citations as recorded by crossref.
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. 10.5194/tc-15-1811-2021
- A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al. 10.3390/rs14041041
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- 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
- A Textural Approach to Improving Snow Depth Estimates in the Weddell Sea M. Mei & T. Maksym 10.3390/rs12091494
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. 10.5194/tc-16-4473-2022
- Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. 10.5194/tc-15-2429-2021
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. 10.3390/rs15051180
- Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. 10.1109/JSTARS.2020.2966432
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. 10.5194/tc-14-3761-2020
- A year-round satellite sea-ice thickness record from CryoSat-2 J. Landy et al. 10.1038/s41586-022-05058-5
- An Ocean Acoustic Modeling Based on the Physical Parameters Clustering of the Arctic Ice Floes: Applied to the Study of Acoustic Field Response as Ice Floes Thickness Varies C. Lu et al. 10.1029/2022MS003188
- Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) J. Stroeve et al. 10.5194/tc-16-4223-2022
- Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations R. Mallett et al. 10.1017/jog.2022.18
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. 10.5194/tc-15-5483-2021
- A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting S. Fons et al. 10.5194/tc-17-2487-2023
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. 10.5194/tc-17-1389-2023
- Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
26 citations as recorded by crossref.
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. 10.5194/tc-15-1811-2021
- A Suitable Retrieval Algorithm of Arctic Snow Depths with AMSR-2 and Its Application to Sea Ice Thicknesses of Cryosat-2 Data Z. Dong et al. 10.3390/rs14041041
- Improved Arctic Sea Ice Freeboard Retrieval From Satellite Altimetry Using Optimized Sea Surface Decorrelation Scales J. Landy et al. 10.1029/2021JC017466
- 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
- A Textural Approach to Improving Snow Depth Estimates in the Weddell Sea M. Mei & T. Maksym 10.3390/rs12091494
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. 10.5194/tc-16-4473-2022
- Faster decline and higher variability in the sea ice thickness of the marginal Arctic seas when accounting for dynamic snow cover R. Mallett et al. 10.5194/tc-15-2429-2021
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Estimation of Arctic Sea Ice Thickness from Chinese HY-2B Radar Altimetry Data M. Jiang et al. 10.3390/rs15051180
- Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. 10.1109/JSTARS.2020.2966432
- The Copernicus Polar Ice and Snow Topography Altimeter (CRISTAL) high-priority candidate mission M. Kern et al. 10.5194/tc-14-2235-2020
- Simultaneous estimation of wintertime sea ice thickness and snow depth from space-borne freeboard measurements H. Shi et al. 10.5194/tc-14-3761-2020
- A year-round satellite sea-ice thickness record from CryoSat-2 J. Landy et al. 10.1038/s41586-022-05058-5
- An Ocean Acoustic Modeling Based on the Physical Parameters Clustering of the Arctic Ice Floes: Applied to the Study of Acoustic Field Response as Ice Floes Thickness Varies C. Lu et al. 10.1029/2022MS003188
- Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) J. Stroeve et al. 10.5194/tc-16-4223-2022
- Sub-kilometre scale distribution of snow depth on Arctic sea ice from Soviet drifting stations R. Mallett et al. 10.1017/jog.2022.18
- Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements F. Garnier et al. 10.5194/tc-15-5483-2021
- A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting S. Fons et al. 10.5194/tc-17-2487-2023
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
- Sea Ice Roughness Overlooked as a Key Source of Uncertainty in CryoSat‐2 Ice Freeboard Retrievals J. Landy et al. 10.1029/2019JC015820
- Surface Properties Linked to Retrieval Uncertainty of Satellite Sea-Ice Thickness with Upward-Looking Sonar Measurements K. Khvorostovsky et al. 10.3390/rs12183094
- Intercomparisons and Evaluations of Satellite-Derived Arctic Sea Ice Thickness Products F. Chen et al. 10.3390/rs16030508
- Feasibility of retrieving Arctic sea ice thickness from the Chinese HY-2B Ku-band radar altimeter Z. Dong et al. 10.5194/tc-17-1389-2023
- Estimation of Arctic Winter Snow Depth, Sea Ice Thickness and Bulk Density, and Ice Freeboard by Combining CryoSat-2, AVHRR, and AMSR Measurements H. Shi et al. 10.1109/TGRS.2023.3265274
Latest update: 16 Jul 2024
Short summary
Soils store large carbon and are important for global warming. We do not know what factors are important for soil carbon storage in the alpine Andes and how they work. We studied how rainfall affects soil carbon storage related to soil structure. We found soil structure is not important, but soil carbon storage and stability controlled by rainfall are dependent on rocks under the soils. The results indicate that we should pay attention to the rocks when studying soil carbon storage in the Andes.
Soils store large carbon and are important for global warming. We do not know what factors are...
