Mass Change in the Mackenzie River Basin
The contained software and data are those created for the article "Mass changes in a high-latitude river basin from two decades of GRACE/GRACE-FO", Bringeland, S., Fotopoulos, G. Some of the datasets are adapted from open-source datasets that are cited below. Datasets that were not adapted in any way were not included in the repository - this includes the CSR mascons (CSR_GRACE_GRACE-FO_RL06_Mascons_all-corrections_v02.nc), the land mask for the CSR mascons (CSR_GRACE_GRACE-FO_RL06_Mascons_v02_LandMask.nc), the glacial isostatic adjustment correction for the CSR mascons (CSR_GRACE_GRACE-FO_RL0602_Mascons_GIA-component.nc) [1-3], the JPL mascons (GRCTellus.JPL.200204_202306.GLO.RL06.1M.MSCNv03CRI.nc), the land mask for the JPL mascons (LAND_MASK.CRI.nc) [2], the ERA5-Land total evaporation and total precipitation [4-6], the evaporation and evapotranspiration data from the Ecological Assimilation of Land and Climate Observations (EALCO) [7-9], the total precipitation data from CanKrig [10], the water fraction data from [11], the Lambeck (2017) GIA model [12], and the NAD83(vsrs)v8G vertical crustal velocity model [13]. [1] Landerer, F. W., Flechtner, F. M., Save, H., Webb, F. H., Bandikova, T., Bertiger, W. I., et al. (2020). Extending the Global Mass Change Data Record: GRACE Follow-On Instrument and Science Data Performance. Geophysical Research Letters, 47(12), e2020GL088306. https://doi.org/10.1029/2020GL088306 [2] Save, H. (2020). CSR GRACE and GRACE-FO RL06 Mascon Solutions v02 Available: http://www2.csr.utexas.edu/grace [Data set]. https://doi.org/10.15781/cgq9-nh24 [3] Save, H., Bettadpur, S., & Tapley, B. D. (2016). High-resolution CSR GRACE RL05 mascons. Journal of Geophysical Research: Solid Earth, 121(10), 7547–7569. https://doi.org/10.1002/2016JB013007 [4] Watkins, M. M., Wiese, D. N., Yuan, D.-N., Boening, C., & Landerer, F. W. (2015). Improved methods for observing Earth’s time variable mass distribution with GRACE using spherical cap mascons. Journal of Geophysical Research: Solid Earth, 120(4), 2648–2671. https://doi.org/10.1002/2014JB011547 [5] Wiese, D. N., Yuan, D.-N., Boening, C., Landerer, F. W., & Watkins, M. M. (2023). JPL GRACE and GRACE-FO Mascon Ocean, Ice, and Hydrology Equivalent Water Height Coastal Resolution Improvement (CRI) Filtered Release 06.1 Version 03 Available: http://grace.jpl.nasa.gov [Data set]. NASA Physical Oceanography Distributed Active Archive Center. https://doi.org/10.5067/TEMSC-3JC63 [6] Wiese, David N., Landerer, F. W., & Watkins, M. M. (2016). Quantifying and reducing leakage errors in the JPL RL05M GRACE mascon solution. Water Resources Research, 52(9), 7490–7502. https://doi.org/10.1002/2016WR019344 [7] Wang, S., Yang, Y., Luo, Y., & Rivera, A. (2013). Spatial and seasonal variations in evapotranspiration over Canada’s landmass. Hydrology and Earth System Sciences, 17(9), 3561–3575. https://doi.org/10.5194/hess-17-3561-2013 [8] Wang, Shusen. (2008). Simulation of Evapotranspiration and Its Response to Plant Water and CO2 Transfer Dynamics. Journal of Hydrometeorology, 9(3), 426–443. https://doi.org/10.1175/2007JHM918.1 [9] Wang, Shusen, Pan, M., Mu, Q., Shi, X., Mao, J., Brümmer, C., et al. (2015). Comparing Evapotranspiration from Eddy Covariance Measurements, Water Budgets, Remote Sensing, and Land Surface Models over Canada. Journal of Hydrometeorology, 16(4), 1540–1560. https://doi.org/10.1175/JHM-D-14-0189.1 [10] Wang, X. L., Feng, Y., Cheng, V. Y. S., & Xu, H. (2023). Observed precipitation trends inferred from Canada’s homogenized monthly precipitation dataset. Journal of Climate, 1(aop), 1–31. https://doi.org/10.1175/JCLI-D-23-0193.1 [11] Pavlic, G., Fernandes, R., Chen, W., Fraser, R., & Leblanc, S. (2002). Methods for Deriving Canada Wide Geo-Spatial Datasets in Support of Environmental Monitoring and Modelling [12] Lambeck, K., Purcell, A., & Zhao, S. (2017). The North American Late Wisconsin ice sheet and mantle viscosity from glacial rebound analyses. Quaternary Science Reviews, 158, 172–210. https://doi.org/10.1016/j.quascirev.2016.11.033 [13] Robin, C. M. I., Craymer, M. R., Ferland, R., James, T. S., Lapelle, E., Piraszewski, M., & Zhao, Y. (2020). NAD83v70VG: a new national crustal velocity model for Canada, Natural Resources Canada. https://doi.org/10.4095/327592, 2020.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-09-16
- DOI
- https://doi.org/10.5281/zenodo.13769727
- Citations
- 1
- Primary Topic
- Geophysics and Gravity Measurements
- Type
- article
- Field-Weighted Citation Impact
- 0.48