Re-gridded Geothermal Heat Flow data sets (Supplementary material for Lösing et al. (2025): Community Heat Flow Recommendations: Suitable Basal Boundary Conditions for Greenland and Antarctica in ISMIP7.)
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These datasets are supplementary material to the publication from Lösing et al. (2025): Community Heat Flow Recommendations: Suitable Basal Boundary Conditions for Greenland and Antarctica in ISMIP7. When using these data, please cite the original datasets and associated publications, as well as Lösing et al. (2025). Input datasets Antarctica Lösing & Ebbing (2021); native resolution 55km Stål et al., (2020); native resolution 20 km; The original Aq1 dataset from Stål et al. (2020), including uncertainty metrics, was cropped at the coastline and grounding line due to the extent of some observables used. To facilitate regridding, we applied a buffered nearest neighbour extrapolation technique to create a processed version of the dataset (aq1_nn_extrapol.nc). We created a spatial buffer extending 4 grid cells (equivalent to 80 km given the 20×20 km resolution) around the valid values in Aq1 using morphological dilation with a circular kernel. We then applied nearest neighbour extrapolation to fill all NaN values across every variable in the dataset, followed by masking to retain only the extrapolated values within the 80 km buffer zone. This approach preserves the original model while adding a controlled "corona" of extrapolated values that extends smoothly into previously undefined regions, reducing edge effects and discontinuities that could occur during regridding procedures. Greenland Colgan & Wansing (2021); native resolution 55 km Output datasets Input datasets in NetCDF format with respective uncertainties, and topographically corrected geothermal heat flow and uncertainties. Input datasets, regridded to 500 m resolution using bilinear interpolation, with respective uncertainties. Also included in the file are the topographically corrected geothermal heat flow and uncertainties. Colgan & Wansing (2021) dataset re-gridded to 150 m resolution using bilinear interpolation to conform with Bedmachine v5 resolution (Morlighem et al., 2017, 2022). Also included in the file are the topographically corrected geothermal heat flow and uncertainties. Topographic correction fields for Antarctica and Greenland from Colgan et al. (2021). A NetCDF that contains the data from all three re-gridded datasets (geothermal heat flow values with uncertainties; topographically corrected geothermal heat flow values and uncertainties). References: Colgan, William; Wansing, Agnes, 2021, "Greenland Geothermal Heat Flow Database and Map", https://doi.org/10.22008/FK2/F9P03L, GEUS Dataverse, V2 Colgan, William, Joseph A. MacGregor, Kenneth D. Mankoff, Ryan Haagenson, Harihar Rajaram, Yasmina M. Martos, Mathieu Morlighem, Mark A. Fahnestock, and Kristian K. Kjeldsen. "Topographic correction of geothermal heat flux in Greenland and Antarctica." Journal of Geophysical Research: Earth Surface 126, no. 2 (2021): e2020JF005598. doi: 10.1029/2020JF005598 Lösing, Mareen; Ebbing, Jörg (2021): Predicted Antarctic Heat Flow and Uncertainties using Machine Learning [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.930237 Morlighem, M., Williams, C., Rignot, E., An, L., Arndt, J. E., Bamber, J. L., Catania, G., Chauché, N., Dowdeswell, J. A., Dorschel, B., Fenty, I., Hogan, K., Howat, I., Hubbard, A., Jakobsson, M., Jordan, T. M., Kjeldsen, K. K., Millan, R., Mayer, L., Mouginot, J., Noël, B., O'Cofaigh, C., Palmer, S. J., Rysgaard, S., Seroussi, H., Siegert, M. J., Slabon, P., Straneo, F., van den Broeke, M. R., Weinrebe, W., Wood, M. & Zinglersen, K.. 2017. BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multi-beam echo sounding combined with mass conservation. Geophysical Research Letters. 44. DOI: 10.1002/2017GL074954. Morlighem, M. et al. (2022). IceBridge BedMachine Greenland. (IDBMG4, Version 5). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/GMEVBWFLWA7X. Stål, Tobias; Reading, Anya M; Halpin, Jacqueline A; Whittaker, Joanne (2020): Antarctic geothermal heat flow model: Aq1 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.924857
本数据集为Lösing等人（2025）发表于《Community Heat Flow Recommendations: Suitable Basal Boundary Conditions for Greenland and Antarctica in ISMIP7》的研究论文的补充材料。 使用本数据集时，请同时引用原始数据集及其相关文献，以及Lösing等人（2025）的此项研究。 ## 输入数据集 ### 南极洲 1. Lösing & Ebbing (2021)，原生分辨率为55km 2. Stål等人（2020），原生分辨率为20km：原始Aq1数据集包含不确定性指标，因部分观测变量的覆盖范围，已在海岸线和接地线处进行裁剪。为便于重网格化，我们采用带缓冲的最近邻外推技术对数据集进行处理，生成处理后版本aq1_nn_extrapol.nc。具体流程为：使用圆形核形态学膨胀，在Aq1的有效值周围创建延伸4个网格单元（对应20×20km分辨率下的80km）的空间缓冲区；随后通过最近邻外推填充数据集所有变量中的所有NaN值，再通过掩膜仅保留80km缓冲区内的外推值。该方法在保留原始模型的同时，添加了受控的外推值“晕圈”，可平滑延伸至此前未定义的区域，减少重网格化过程中可能出现的边缘效应与不连续性。 ### 格陵兰 Colgan & Wansing (2021)，原生分辨率为55km ## 输出数据集 1. 以NetCDF（网络通用数据格式）存储的输入数据集及其对应不确定性，以及经地形校正的地热热流数据及其不确定性。 2. 经双线性插值重采样至500m分辨率的输入数据集及其对应不确定性，文件中还包含经地形校正的地热热流数据及其不确定性。 3. Colgan & Wansing (2021)数据集经双线性插值重采样至150m分辨率，以匹配Bedmachine v5的分辨率（Morlighem等人，2017、2022），文件中同时包含经地形校正的地热热流数据及其不确定性。 4. 来自Colgan等人（2021）的南极洲与格陵兰地形校正场数据集。 5. 一个NetCDF文件，包含全部三个重采样数据集的数据（带不确定性的地热热流数值、经地形校正的地热热流数值及其不确定性）。 ## 参考文献 1. Colgan, William; Wansing, Agnes, 2021, 《Greenland Geothermal Heat Flow Database and Map》, https://doi.org/10.22008/FK2/F9P03L, GEUS Dataverse, V2 2. Colgan, William, Joseph A. MacGregor, Kenneth D. Mankoff, Ryan Haagenson, Harihar Rajaram, Yasmina M. Martos, Mathieu Morlighem, Mark A. Fahnestock, and Kristian K. Kjeldsen. 《Topographic correction of geothermal heat flux in Greenland and Antarctica》. *Journal of Geophysical Research: Earth Surface* 126, no. 2 (2021): e2020JF005598. doi: 10.1029/2020JF005598 3. Lösing, Mareen; Ebbing, Jörg (2021): Predicted Antarctic Heat Flow and Uncertainties using Machine Learning [数据集]. PANGAEA, https://doi.org/10.1594/PANGAEA.930237 4. Morlighem, M., Williams, C., Rignot, E., An, L., Arndt, J. E., Bamber, J. L., Catania, G., Chauché, N., Dowdeswell, J. A., Dorschel, B., Fenty, I., Hogan, K., Howat, I., Hubbard, A., Jakobsson, M., Jordan, T. M., Kjeldsen, K. K., Millan, R., Mayer, L., Mouginot, J., Noël, B., O'Cofaigh, C., Palmer, S. J., Rysgaard, S., Seroussi, H., Siegert, M. J., Slabon, P., Straneo, F., van den Broeke, M. R., Weinrebe, W., Wood, M. & Zinglersen, K.. 2017. BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multi-beam echo sounding combined with mass conservation. *Geophysical Research Letters*. 44. DOI: 10.1002/2017GL074954. 5. Morlighem, M. et al. (2022). IceBridge BedMachine Greenland. (IDBMG4, Version 5). [数据集]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/GMEVBWFLWA7X. 6. Stål, Tobias; Reading, Anya M; Halpin, Jacqueline A; Whittaker, Joanne (2020): Antarctic geothermal heat flow model: Aq1 [数据集]. PANGAEA, https://doi.org/10.1594/PANGAEA.924857
