petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0
Data Abstract Glacier albedo plays a crucial role in regulating surface energy balance and consequently, mass balance. However, a comprehensive understanding of global glacier albedo changing remains elusive. This dataset presents daily mean glacier albedo derived from the MOD10A1.C61 (Hall and Rigg...
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ftzenodo:oai:zenodo.org:11498724 2024-09-15T18:19:06+00:00 petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 Jing Ming 2024-06-06 https://doi.org/10.5281/zenodo.11498724 unknown Zenodo https://github.com/petermingjing/mitigate_glacier_albedo/tree/Glacier-albedo-factor https://doi.org/10.5281/zenodo.11498723 https://doi.org/10.5281/zenodo.11498724 oai:zenodo.org:11498724 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1149872410.5281/zenodo.11498723 2024-07-25T08:11:38Z Data Abstract Glacier albedo plays a crucial role in regulating surface energy balance and consequently, mass balance. However, a comprehensive understanding of global glacier albedo changing remains elusive. This dataset presents daily mean glacier albedo derived from the MOD10A1.C61 (Hall and Riggs, 2021a) and MYD10A1.C61 (Hall and Riggs, 2021b) products for 19 regions defined by the Randolph Glacier Inventory version 7.0 (Rgi 7.0 Consortium, 2023). These regional albedo values are weighted by glacier area to estimate daily mean albedo for global glaciers. Additionally, daily mean 2-meter air temperature and precipitation data, derived from the ERA5-Land dataset (Muñoz-Sabater et al., 2021) within each region's glacierized areas, are included. The dataset also encompasses daily aerosol optical depth (AOD) data (Lyapustin, 2023), spatially averaged over each region's glacier extent. All calculations were performed using Google Earth Engine (GEE), and the associated scripts are provided. GeoJSON files delineating the regional boundaries used for AOD calculations are also included. References Hall, D. and Riggs, G.: MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid, Version 61 [Data Set] (61), NASA National Snow and Ice Data Center Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MOD10A1.061, 2021a. Hall, D. K. and Riggs, G. A.: MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid, Version 61 [Data Set], NASA National Snow and Ice Data Center Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MYD10C1.061, 2021b. Lyapustin, A.: MODIS/Terra+Aqua AOD and Water Vapor from MAIAC, Daily L3 Global 0.05Deg CMG V061 [Data set], NASA EOSDIS Land Processes Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MCD19A2CMG.061, 2023. Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, ... Other/Unknown Material National Snow and Ice Data Center Zenodo |
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Data Abstract Glacier albedo plays a crucial role in regulating surface energy balance and consequently, mass balance. However, a comprehensive understanding of global glacier albedo changing remains elusive. This dataset presents daily mean glacier albedo derived from the MOD10A1.C61 (Hall and Riggs, 2021a) and MYD10A1.C61 (Hall and Riggs, 2021b) products for 19 regions defined by the Randolph Glacier Inventory version 7.0 (Rgi 7.0 Consortium, 2023). These regional albedo values are weighted by glacier area to estimate daily mean albedo for global glaciers. Additionally, daily mean 2-meter air temperature and precipitation data, derived from the ERA5-Land dataset (Muñoz-Sabater et al., 2021) within each region's glacierized areas, are included. The dataset also encompasses daily aerosol optical depth (AOD) data (Lyapustin, 2023), spatially averaged over each region's glacier extent. All calculations were performed using Google Earth Engine (GEE), and the associated scripts are provided. GeoJSON files delineating the regional boundaries used for AOD calculations are also included. References Hall, D. and Riggs, G.: MODIS/Terra Snow Cover Daily L3 Global 500m SIN Grid, Version 61 [Data Set] (61), NASA National Snow and Ice Data Center Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MOD10A1.061, 2021a. Hall, D. K. and Riggs, G. A.: MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid, Version 61 [Data Set], NASA National Snow and Ice Data Center Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MYD10C1.061, 2021b. Lyapustin, A.: MODIS/Terra+Aqua AOD and Water Vapor from MAIAC, Daily L3 Global 0.05Deg CMG V061 [Data set], NASA EOSDIS Land Processes Distributed Active Archive Center [dataset], https://doi.org/10.5067/MODIS/MCD19A2CMG.061, 2023. Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., Martens, B., Miralles, D. G., Piles, M., Rodríguez-Fernández, N. J., Zsoter, ... |
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Jing Ming |
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Jing Ming petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
author_facet |
Jing Ming |
author_sort |
Jing Ming |
title |
petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
title_short |
petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
title_full |
petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
title_fullStr |
petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
title_full_unstemmed |
petermingjing/mitigate_glacier_albedo: Global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
title_sort |
petermingjing/mitigate_glacier_albedo: global glacier albedo trends from 2000 to 2022 and driving factors, v1.0 |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://doi.org/10.5281/zenodo.11498724 |
genre |
National Snow and Ice Data Center |
genre_facet |
National Snow and Ice Data Center |
op_relation |
https://github.com/petermingjing/mitigate_glacier_albedo/tree/Glacier-albedo-factor https://doi.org/10.5281/zenodo.11498723 https://doi.org/10.5281/zenodo.11498724 oai:zenodo.org:11498724 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.1149872410.5281/zenodo.11498723 |
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1810457191368359936 |