{"count":87423,"next":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=80500","previous":"https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=json&limit=100&offset=80300","results":[{"ob_id":88181,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43286,"uuid":"3d3e52e597fe40b0ab5984cc0ee82de3","short_code":"ob"}},{"ob_id":88183,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43286,"uuid":"3d3e52e597fe40b0ab5984cc0ee82de3","short_code":"ob"}},{"ob_id":88184,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43287,"uuid":"0397ca6f625e47f489684bad2bd533bb","short_code":"ob"}},{"ob_id":88185,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43287,"uuid":"0397ca6f625e47f489684bad2bd533bb","short_code":"ob"}},{"ob_id":88187,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43287,"uuid":"0397ca6f625e47f489684bad2bd533bb","short_code":"ob"}},{"ob_id":88188,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43288,"uuid":"3339dec1fbd94599802aba7f1c665679","short_code":"ob"}},{"ob_id":88189,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43288,"uuid":"3339dec1fbd94599802aba7f1c665679","short_code":"ob"}},{"ob_id":88191,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43288,"uuid":"3339dec1fbd94599802aba7f1c665679","short_code":"ob"}},{"ob_id":88192,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43289,"uuid":"c302b1dceb8a4c39a31d18b60f236d09","short_code":"ob"}},{"ob_id":88193,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43289,"uuid":"c302b1dceb8a4c39a31d18b60f236d09","short_code":"ob"}},{"ob_id":88195,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43289,"uuid":"c302b1dceb8a4c39a31d18b60f236d09","short_code":"ob"}},{"ob_id":88196,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43290,"uuid":"4321d9b540fe48f8943179aa3ef06c79","short_code":"ob"}},{"ob_id":88197,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43290,"uuid":"4321d9b540fe48f8943179aa3ef06c79","short_code":"ob"}},{"ob_id":88199,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43290,"uuid":"4321d9b540fe48f8943179aa3ef06c79","short_code":"ob"}},{"ob_id":88200,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43291,"uuid":"5b48a34fb4134bbd99acace7767e5b3e","short_code":"ob"}},{"ob_id":88201,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43291,"uuid":"5b48a34fb4134bbd99acace7767e5b3e","short_code":"ob"}},{"ob_id":88203,"function":"documentation","linkage":"https://dap.ceda.ac.uk/neodc/esacci/sea_surface_salinity/docs/v04.41/SSS_cci_PHASE02_D4.3-PUG-v4.1_final_signed.pdf","name":"Product User Guide","relatedTo":{"ob_id":43291,"uuid":"5b48a34fb4134bbd99acace7767e5b3e","short_code":"ob"}},{"ob_id":88204,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43292,"uuid":"7294d93479654c139770f13fae4142d1","short_code":"coll"}},{"ob_id":88205,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43292,"uuid":"7294d93479654c139770f13fae4142d1","short_code":"coll"}},{"ob_id":88206,"function":"documentation","linkage":"https://climate.esa.int/projects/sea-surface-salinity/","name":"ESA CCI Sea Surface Salinity project website","relatedTo":{"ob_id":43293,"uuid":"282e89e1582841b082fb5111d0618f77","short_code":"coll"}},{"ob_id":88207,"function":"documentation","linkage":"https://doi.org/10.1029/2021JC017676","name":"Boutin, J., N. Reul, J. Koehler, A. Martin, R. Catany, S. Guimbard, F. Rouffi, et al. (2021), Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies, Journal of Geophysical Research: Oceans, 126(11), e2021JC017676, doi:https://doi.org/10.1029/2021JC017676.","relatedTo":{"ob_id":43293,"uuid":"282e89e1582841b082fb5111d0618f77","short_code":"coll"}},{"ob_id":88208,"function":"documentation","linkage":"https://gmd.copernicus.org/articles/16/1975/2023/gmd-16-1975-2023.html","name":"Understanding AMOC stability: the North Atlantic Hosing Model Intercomparison Project","relatedTo":{"ob_id":43305,"uuid":"07bc349e42f94117b83e6f8289834eb7","short_code":"ob"}},{"ob_id":88209,"function":"documentation","linkage":"https://essopenarchive.org/users/814040/articles/1215204-trace-element-emissions-vary-with-lava-flow-age-and-thermal-evolution-during-the-fagradalsfjall-2021-2023-eruptions-iceland","name":"Paper describing methodology","relatedTo":{"ob_id":43274,"uuid":"8d6e1f181fb643f5a64f2a37d31c70fd","short_code":"comp"}},{"ob_id":88210,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/river_discharge/data/RD/RD-combined/v1.0/","name":"Anonymous ftp site for CCI data download","relatedTo":{"ob_id":41456,"uuid":"d32244e674dd438ca4d321560daad755","short_code":"ob"}},{"ob_id":88211,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/river_discharge/data/RD/RD-multi/v1.2/","name":"Anonymous ftp site for CCI data download","relatedTo":{"ob_id":41457,"uuid":"a8422dd3766c447d8b5fa80920649f31","short_code":"ob"}},{"ob_id":88212,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/fire/data/burned_area/SFDL/v1.0/pixel/","name":"Anonymous FTP download service for ESA CCI data","relatedTo":{"ob_id":43179,"uuid":"593397b5f9654d76b5d37761e7566ca6","short_code":"ob"}},{"ob_id":88213,"function":"documentation","linkage":"https://www.gov.uk/government/collections/climate-services-for-a-net-zero-resilient-world","name":"Climate services for a Net Zero resilient world","relatedTo":{"ob_id":41577,"uuid":"8ec3eebe683f473ca81404dc11cd7bb8","short_code":"proj"}},{"ob_id":88214,"function":"documentation","linkage":"https://earth.esa.int/handbooks/aatsr/CNTR2-7-2.htm","name":"ESA AATSR Product Handbook","relatedTo":{"ob_id":43344,"uuid":"dcad505a8203486e8a3b530a6dff00ca","short_code":"ob"}},{"ob_id":88215,"function":"documentation","linkage":"https://earth.esa.int/eogateway/news/ers-atsr-4th-reprocessing-datasets-available-to-users","name":"ESA Information on 4th Reprocessing","relatedTo":{"ob_id":43344,"uuid":"dcad505a8203486e8a3b530a6dff00ca","short_code":"ob"}},{"ob_id":88216,"function":"documentation","linkage":"https://earth.esa.int/eogateway/catalog/envisat-aatsr-l1b-brightness-temperature-or-radiance-env_at_1_rbt","name":"ESA A/ATSR AT_1_RBT Product Information","relatedTo":{"ob_id":43344,"uuid":"dcad505a8203486e8a3b530a6dff00ca","short_code":"ob"}},{"ob_id":88217,"function":"documentation","linkage":"https://climate.esa.int/documents/1337/Water_Vapour_CCI_D2.2_ATBD_Part2-IMS_L2_product_v1.0.pdf","name":"WV_cci ATBD Part 2 - IMS L2 Product","relatedTo":{"ob_id":43345,"uuid":"a90f6e14e9a24ce5bdb67dab93b2eb80","short_code":"ob"}},{"ob_id":88219,"function":"documentation","linkage":"https://climate.esa.int/documents/1337/Water_Vapour_CCI_D2.2_ATBD_Part2-IMS_L2_product_v1.0.pdf","name":"WV_cci ATBD Part 2 - IMS L2 Product","relatedTo":{"ob_id":43346,"uuid":"9bdf6a69b0934f3185dfde40860208d7","short_code":"ob"}},{"ob_id":88220,"function":null,"linkage":"https://climate.esa.int/documents/1716/Aerosol_cci_plus_SU_ATSR_ATBD_v435.pdf","name":"Algorithm Theoretical Baseline Document (ATBD) for the Swansea University ATSR  v435 aerosol CCI product","relatedTo":{"ob_id":43296,"uuid":"bf23c3ea947a4cd6a4822e1bd656d8a1","short_code":"comp"}},{"ob_id":88221,"function":null,"linkage":"https://climate.esa.int/documents/1717/Aerosol_cci_plus_SU_SLSTR_ATBD_v114_issue1.1.pdf","name":"Algorithm Theoretical Baseline Document (ATBD) for the Swansea University SLSTR v114 aerosol CCI product","relatedTo":{"ob_id":43296,"uuid":"bf23c3ea947a4cd6a4822e1bd656d8a1","short_code":"comp"}},{"ob_id":88222,"function":"documentation","linkage":"https://climate.esa.int/documents/1716/Aerosol_cci_plus_SU_ATSR_ATBD_v435.pdf","name":"Algorithm Theoretical Baseline Document","relatedTo":{"ob_id":43281,"uuid":"397b2da3a0d04bde8e5e1e341c829422","short_code":"ob"}},{"ob_id":88223,"function":"documentation","linkage":"https://climate.esa.int/documents/1716/Aerosol_cci_plus_SU_ATSR_ATBD_v435.pdf","name":"Algorithm Theoretical Baseline Document (ATBD)","relatedTo":{"ob_id":43282,"uuid":"f677ad3b44c24d5e8701153f14ab39e4","short_code":"ob"}},{"ob_id":88224,"function":"documentation","linkage":"https://climate.esa.int/documents/1717/Aerosol_cci_plus_SU_SLSTR_ATBD_v114_issue1.1.pdf","name":"Algorithm Theoretical Baseline Document (ATBD)","relatedTo":{"ob_id":43283,"uuid":"f18f81e6fe014e5ab7b847f282f9de7b","short_code":"ob"}},{"ob_id":88225,"function":"documentation","linkage":"https://climate.esa.int/documents/1717/Aerosol_cci_plus_SU_SLSTR_ATBD_v114_issue1.1.pdf","name":"Algorithm Theoretical Baseline Document (ATBD)","relatedTo":{"ob_id":43284,"uuid":"a89007aa668d4e2f940dbb3d3dfcc3dc","short_code":"ob"}},{"ob_id":88226,"function":"documentation","linkage":"https://data2.gosat.nies.go.jp/doc/documents/SAM-2022046_NC_GOSAT_FTS_L1_Product_Description_Document_V300.pdf","name":"Input data product description  GOSAT Level 1B files (version 300.300)","relatedTo":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob"}},{"ob_id":88227,"function":"documentation","linkage":"https://doi.org/10.5194/amt-6-1533-2013","name":"Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data","relatedTo":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob"}},{"ob_id":88228,"function":"documentation","linkage":"https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-methane?tab=overview","name":"C3S  CH4 v7.2 data","relatedTo":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob"}},{"ob_id":88229,"function":"documentation","linkage":"https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2011GL047871","name":"Methane observations from the Greenhouse Gases Observing SATellite: Comparison to ground‐based TCCON data and model calculations","relatedTo":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob"}},{"ob_id":88230,"function":"documentation","linkage":"https://www.atmos-meas-tech.net/8/4785/2015/amt-8-4785-2015.pdf","name":"Assessing 5 years of GOSAT Proxy XCH4data andassociated uncertainties","relatedTo":{"ob_id":43349,"uuid":"54df57f3aaed4867bec35ebdb31f4a8b","short_code":"ob"}},{"ob_id":88245,"function":"documentation","linkage":"https://eocis.org/wp-content/uploads/2024/06/UK_EOCIS_Quick-Start-Guide-V1.3-Global-LST.pdf","name":"Quick start guide","relatedTo":{"ob_id":43087,"uuid":"a784eeb9287b43bcb63ccae59e6af82e","short_code":"ob"}},{"ob_id":88246,"function":"documentation","linkage":"https://eocis.org/wp-content/uploads/2024/06/UK_EOCIS_Quick-Start-Guide-V1.3-Global-LST.pdf","name":"Quick start guide","relatedTo":{"ob_id":43088,"uuid":"fc0bc3d5887d441296091a8025f8f45d","short_code":"ob"}},{"ob_id":88247,"function":"documentation","linkage":"https://data.ceda.ac.uk/neodc/esacci/fire/docs/SFDL10_v1.0/Fire_cci_D4.2.7_PUG-SFDL_v1.0.pdf","name":"Product User Guide","relatedTo":{"ob_id":43179,"uuid":"593397b5f9654d76b5d37761e7566ca6","short_code":"ob"}},{"ob_id":88249,"function":"documentation","linkage":"https://doi.org/10.5194/egusphere-2024-1322","name":"Marshall, L. R., Schmidt, A., Schurer, A. P., Abraham, N. L., Lücke, L. J., Wilson, R., Anchukaitis, K., Hegerl, G., Johnson, B., Otto-Bliesner, B. L., Brady, E. C., Khodri, M., and Yoshida, K.: Last Millennium Volcanic Forcing and Climate Response using SO2 Emissions, EGUsphere, https://doi.org/10.5194/egusphere-2024-1322, 2024.","relatedTo":{"ob_id":43273,"uuid":"756571adbea845f3a78e75e2aef9d968","short_code":"ob"}},{"ob_id":88250,"function":null,"linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"Product descript document","relatedTo":{"ob_id":43377,"uuid":"d4a181798f4c4f82b6a3e9a13ad0d8ee","short_code":"cmppr"}},{"ob_id":88251,"function":null,"linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"Product descript document","relatedTo":{"ob_id":43378,"uuid":"2e17108c661f48a5a76c538974aa1405","short_code":"cmppr"}},{"ob_id":88252,"function":null,"linkage":"https://earth.esa.int/documents/20142/37627/QA4EO-VEG-OQC-MEM-4538_User_Documentation_for__A_ATSR_4th_Reprocessing_Level_1.pdf","name":"Product descript document","relatedTo":{"ob_id":43379,"uuid":"31aaf6a9f37a4dc4947ce20f246bdd2e","short_code":"cmppr"}},{"ob_id":88253,"function":"documentation","linkage":"https://assets.publishing.service.gov.uk/media/672ddd2b4f1735e02b96ae08/projected-wind-driven-rain-in-the-UK.pdf","name":"M. G. Sanderson, M. Eastman, J. A. Lowe: Projected wind-driven rain in the United Kingdom, Research Paper Number 2024/021, November 2024.","relatedTo":{"ob_id":41421,"uuid":"3acecae819b84507ad4d62f87cf35155","short_code":"ob"}},{"ob_id":88254,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.3_PUG_v5.1.pdf","name":"Product User Guide","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88255,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2011.08.014","name":"Takala et al, 2011, Estimating northern hemisphere snow water equivalent for climate research through assimilation of space-borne radiometer data and ground-based measurements, Remote Sensing of Environment. DOI:10.1016/j.rse.2011.08.014","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88256,"function":"documentation","linkage":"https://doi.org/10.5194/tc-15-2969-2021","name":"Impact of dynamic snow density on Globsnow snow water equivalent retrieval accuracy. DOI: 10.5194/tc-15-2969-2021","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88257,"function":"documentation","linkage":"https://climate.esa.int/en/projects/snow/snow-key-documents/","name":"Technical Documentation for Snow CCI","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88258,"function":"documentation","linkage":"https://climate.esa.int/projects/snow","name":"Snow CCI webpages","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88259,"function":"documentation","linkage":"https://climate.esa.int/","name":"ESA Climate Change Initiative website","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88260,"function":"documentation","linkage":"https://ieeexplore.ieee.org/document/763302","name":"HUT Snow Emission Model and its Applicability to Snow Water Equivalent Retrieval. DOI: 10.1109/36.763302","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88261,"function":"documentation","linkage":"https://www.sciencedirect.com/science/article/abs/pii/S0034425706000241","name":"Mapping of snow water equivalent and snow depth in boreal and sub-arctic zones by assimilating space-borne microwave radiometer data and ground-based observations. DOI: 10.1016/j.rse.2006.01.002","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88262,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/snow/data/swe/MERGED/v4.0","name":"Anonymous ftp site for CCI data download","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88263,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.2_CRDP_v4.1.pdf","name":"Climate Research Data Package (CRDP) v4.1","relatedTo":{"ob_id":43384,"uuid":"edf8abd23f4a40aabd4d52e48dec06ea","short_code":"ob"}},{"ob_id":88265,"function":"documentation","linkage":"https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c","name":"ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88266,"function":"documentation","linkage":"https://doi.org/10.5194/tc-15-4261-2021","name":"Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88267,"function":"documentation","linkage":"https://climate.esa.int/projects/snow/snow-key-documents/","name":"ESA CCI Snow key documents","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88268,"function":"documentation","linkage":"https://doi.org/10.7289/V5R78CFR","name":"Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88269,"function":"documentation","linkage":"https://climate.esa.int/projects/snow/","name":"ESA CCI Snow project website","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88270,"function":"documentation","linkage":"https://climate.esa.int","name":"ESA Climate Change Initiative website","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88272,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2014.09.018","name":"Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88273,"function":"documentation","linkage":"https://science.sciencemag.org/content/342/6160/850","name":"Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53.  Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88274,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.3_PUG_v5.1.pdf","name":"Product User Guide","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88275,"function":"documentation","linkage":"https://climate.esa.int/media/documents/CCI_DataStandards_v2-3.pdf","name":"ESA CCI Data Standards","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88276,"function":"documentation","linkage":"https://snow-cci.enveo.at/","name":"Snow CCI ENVEO homepage","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88277,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/snow/data/scfv/AVHRR_SINGLE/v4.0","name":"Anonymous ftp download for ESA CCI data","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88278,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.2_CRDP_v4.1.pdf","name":"Climate Research Data Package v4.1","relatedTo":{"ob_id":43385,"uuid":"3c71c04cf08a410fac2c680cbf88cfd7","short_code":"ob"}},{"ob_id":88279,"function":"documentation","linkage":"https://climate.esa.int","name":"ESA Climate Change Initiative website","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88280,"function":"documentation","linkage":"https://climate.esa.int/projects/snow/","name":"ESA CCI Snow project website","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88281,"function":"documentation","linkage":"https://climate.esa.int/projects/snow/snow-key-documents/","name":"ESA CCI Snow key documents","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88283,"function":"documentation","linkage":"https://doi.org/10.5194/tc-15-4261-2021","name":"Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261-4279. Copernicus Publications","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88284,"function":"documentation","linkage":"https://science.sciencemag.org/content/342/6160/850","name":"Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53.  Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88285,"function":"documentation","linkage":"https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c","name":"ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88287,"function":"documentation","linkage":"https://doi.org/10.7289/V5R78CFR","name":"Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88288,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2014.09.018","name":"Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88289,"function":"documentation","linkage":"https://snow-cci.enveo.at/","name":"Snow CCI ENVEO homepage","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88290,"function":"documentation","linkage":"https://climate.esa.int/media/documents/CCI_DataStandards_v2-3.pdf","name":"ESA CCI Data Standards","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88291,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.3_PUG_v5.1.pdf","name":"Product User Guide","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88292,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/snow/data/scfg/AVHRR_SINGLE/v4.0","name":"Anonymous ftp download for ESA CCI data","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88293,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.2_CRDP_v4.1.pdf","name":"Climate Research Data Package v4.1","relatedTo":{"ob_id":43386,"uuid":"80d96e3a14854420b6f742d70877c431","short_code":"ob"}},{"ob_id":88294,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2014.09.018","name":"Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88295,"function":"documentation","linkage":"http://dx.doi.org/10.5067/MODIS/MOD03.006","name":"MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS):  MOD03","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88296,"function":"documentation","linkage":"https://climate.esa.int/en/projects/snow/","name":"ESA CCI Snow key documents","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88297,"function":"documentation","linkage":"https://climate.esa.int/en/projects/snow/","name":"ESA CCI Snow project website","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88298,"function":"documentation","linkage":"http://dx.doi.org/10.5067/MODIS/MOD021KM.006","name":"MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS):  MOD021KM","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88299,"function":"documentation","linkage":"https://doi.org/10.1016/j.rse.2018.04.038","name":"Salminen, M., Pulliainen, J., Metsämäki, S., Ikonen, J., Heinilä, K. (2018). Determination of uncertainty characteristics for the satellite-based estimation of fractional snow cover. Remote Sensing Environ., 212, 103-113. https://doi.org/10.1016/j.rse.2018.04.038","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88301,"function":"documentation","linkage":"https://climate.esa.int","name":"ESA Climate Change Initiative Website","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88302,"function":"dataService","linkage":"ftp://anon-ftp.ceda.ac.uk/neodc/esacci/snow/data/scfv/MODIS/v4.0/","name":"Anonymous ftp site for ESA CCI data","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88303,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.3_PUG_v5.1.pdf","name":"Product User Guide","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88304,"function":"documentation","linkage":"https://climate.esa.int/media/documents/CCI_DataStandards_v2-3.pdf","name":"ESA CCI data standards","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88305,"function":"documentation","linkage":"https://snow-cci.enveo.at/","name":"Snow CCI ENVEO homepage","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88306,"function":"documentation","linkage":"https://climate.esa.int/media/documents/Snow_cci_D4.2_CRDP_v4.0.pdf","name":"Climate Research Data Package","relatedTo":{"ob_id":43387,"uuid":"bc13bb02a958449aac139853c4638f32","short_code":"ob"}},{"ob_id":88307,"function":"documentation","linkage":"http://dx.doi.org/10.5067/MODIS/MOD021KM.006","name":"MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS):  MOD021KM","relatedTo":{"ob_id":43388,"uuid":"375ffdb8f0a445e380b4b9548655f5f9","short_code":"ob"}}]}