Online Resource List
Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.
GET /api/v3/onlineresources/?format=api&offset=81300
{ "count": 87212, "next": "https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=81400", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=81200", "results": [ { "ob_id": 89183, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2020-284", "name": "Wu, T., Yu, R., Lu, Y., et al. (2020) BCC-CSM2-HR: A High-Resolution Version of the Beijing Climate \nCenter Climate System Model. https://doi.org/10.5194/gmd-2020-284", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89184, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2022gl099299", "name": "Adloff, M., Singer, M.B., MacLeod, D.A., Michaelides, K., Mehrnegar, N., Hansford, E., Funk, C. & Mitchell, D. (2022) Sustained Water Storage in Horn of Africa Drylands Dominated by Seasonal Rainfall Extremes. Geophysical Research Letters 49. https://doi.org/10.1029/2022gl099299", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89185, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-13-5779-2020", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89186, "function": "externalCitation", "linkage": "https://doi.org/10.3390/atmos10040190", "name": "Gozzo, L.F., Palma, D.S., Custodio, M.S. & Machado, J.P. (2019) Climatology and Trend of Severe Drought Events in the State of Sao Paulo, Brazil, during the 20th Century. Atmosphere 10, 190. https://doi.org/10.3390/atmos10040190", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89187, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2018jd029473", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89188, "function": "externalCitation", "linkage": "https://doi.org/10.3390/f9120772", "name": "Preechamart, S., Pumijumnong, N., Payomrat, P. & Buajan, S. (2018) Variation in Climate Signals in Teak Tree-Ring Chronologies in Two Different Growth Areas. Forests 9, 772. https://doi.org/10.3390/f9120772", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89189, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00704-022-04302-2", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89190, "function": "externalCitation", "linkage": "https://doi.org/10.3990/1.9789036553292", "name": "Kokorev, V. Precipitation regime changes in the maritime continent. https://doi.org/10.3990/1.9789036553292", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89191, "function": "externalCitation", "linkage": "https://doi.org/10.3389/feart.2022.1037688", "name": "Zhang, Z., Song, C., Guo, Y., He, P., Chen, N., Liu, J., Zhang, Y., Zuo, Y. & Zhang, X. (2023) Effects of climate change and agricultural expansion on groundwater storage in the Amur River Basin. Frontiers in Earth Science 10. https://doi.org/10.3389/feart.2022.1037688", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89192, "function": "externalCitation", "linkage": "https://doi.org/10.3390/rs14041050", "name": "Van Malderen, R., Pottiaux, E., Stankunavicius, G., Beirle, S., Wagner, T., Brenot, H., Bruyninx, C. & Jones, J. (2022) Global Spatiotemporal Variability of Integrated Water Vapor Derived from GPS, GOME/SCIAMACHY and ERA-Interim: Annual Cycle, Frequency Distribution and Linear Trends. Remote Sensing 14, 1050. https://doi.org/10.3390/rs14041050", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89193, "function": "externalCitation", "linkage": "https://doi.org/10.3390/f10040355", "name": "Guo, S., Ge, X., Zou, Y., Zhou, Y., Wang, T. & Zong, S. (2019) Projecting the Potential Global Distribution of Carpomya vesuviana (Diptera: Tephritidae), Considering Climate Change and Irrigation Patterns. Forests 10, 355. https://doi.org/10.3390/f10040355", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89194, "function": "externalCitation", "linkage": "https://doi.org/10.1371/journal.pone.0248803", "name": "Reinberger, K.L., Reitsema, L.J., Kyle, B., Vassallo, S., Kamenov, G. & Krigbaum, J. (2021) Isotopic evidence for geographic heterogeneity in Ancient Greek military forces. ed. by M. Novak. PLOS ONE 16, e0248803. https://doi.org/10.1371/journal.pone.0248803", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89195, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41586-024-07264-9", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89196, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-12-5229-2019", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89197, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00382-019-04837-7", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89198, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s11069-022-05269-z", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89199, "function": "externalCitation", "linkage": "https://doi.org/10.30892/gss.1301-062", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89200, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-12-5077-2019", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89201, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2018-1170", "name": "Van Malderen, R., Pottiaux, E., Stankunavicius, G., Beirle, S., Wagner, T., Brenot, H. & Bruyninx, C. (2018) Interpreting the time variability of world-wide GPS and GOME/SCIAMACHY integrated water vapour retrievals, using reanalyses as auxiliary tools. https://doi.org/10.5194/acp-2018-1170", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89202, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.jclepro.2022.130811", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89203, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41467-020-18479-5", "name": "Berner, L.T., Massey, R., Jantz, P., et al. (2020) Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nature Communications 11. https://doi.org/10.1038/s41467-020-18479-5", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89204, "function": "externalCitation", "linkage": "https://doi.org/10.4233/uuid:bb898ff7-2982-4a8a-bee5-4a1f02d526e6", "name": "Hulsman, P. (2021) Satellite data in rainfall-runoff models: Exploring new opportunities for semi-arid, data-scarce river basins. Delft University of Technology. https://doi.org/10.4233/UUID:BB898FF7-2982-4A8A-BEE5-4A1F02D526E6", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89205, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10021-018-0300-y", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89206, "function": "externalCitation", "linkage": "https://doi.org/10.5194/egusphere-egu22-2120", "name": "Li, J., Xie, T., Tang, X., Wang, H., Sun, C., Feng, J., Zheng, F. & Ding, R. (2022) Influence of the NAO on wintertime surface air temperature over the East Asia: multidecadal variability and decadal prediction. https://doi.org/10.5194/egusphere-egu22-2120", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89207, "function": "externalCitation", "linkage": "https://doi.org/10.1073/pnas.2013311117", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89208, "function": "externalCitation", "linkage": "https://doi.org/10.3390/e21111094", "name": "Pothapakula, P.K., Primo, C. & Ahrens, B. (2019) Quantification of Information Exchange in Idealized and Climate System Applications. Entropy 21, 1094. https://doi.org/10.3390/e21111094", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89209, "function": "externalCitation", "linkage": "https://doi.org/10.1093/jisesa/ieab024", "name": "Guo, S., Ge, X., Zou, Y., Zhou, Y., Wang, T. & Zong, S. (2021) Projecting the Global Potential Distribution of Cydia pomonella (Lepidoptera: Tortricidae) Under Historical and RCP4.5 Climate Scenarios. ed. by S. Kumar. Journal of Insect Science 21. https://doi.org/10.1093/jisesa/ieab024", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89210, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s11356-020-07937-8", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89211, "function": "externalCitation", "linkage": "https://doi.org/10.1111/1365-2435.14270", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89212, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2021gl092964", "name": "Zemp, M. & Marzeion, B. (2021) Dwindling Relevance of Large Volcanic Eruptions for Global Glacier Changes in the Anthropocene. Geophysical Research Letters 48. https://doi.org/10.1029/2021gl092964", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89213, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00382-020-05276-5", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89214, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-25-957-2021", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89215, "function": "externalCitation", "linkage": "https://doi.org/10.1371/journal.pone.0219374", "name": "Hellwig, N., Walz, A. & Markovic, D. (2019) Climatic and socioeconomic effects on land cover changes across Europe: Does protected area designation matter? ed. by S. Joseph. PLOS ONE 14, e0219374. https://doi.org/10.1371/journal.pone.0219374", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89216, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2019-73", "name": "Primo, C., Kelemen, F.D., Feldmann, H. & Ahrens, B. (2019) A regional atmosphere-ocean climate system model (CCLMv5.0clm7-NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance. https://doi.org/10.5194/gmd-2019-73", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89217, "function": "externalCitation", "linkage": "https://doi.org/10.5194/cp-2018-27", "name": "Bothe, O., Wagner, S. & Zorita, E. (2018) Inconsistencies between observed, reconstructed, and simulated\nprecipitation over the British Isles during the last 350 years. https://doi.org/10.5194/cp-2018-27", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89218, "function": "externalCitation", "linkage": "https://doi.org/10.3390/agronomy10091433", "name": "Chami, D. & Galli, F. (2020) An Assessment of Seaweed Extracts: Innovation for Sustainable Agriculture. Agronomy 10, 1433. https://doi.org/10.3390/agronomy10091433", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89219, "function": "externalCitation", "linkage": "https://doi.org/10.36677/qret.v23i1.14264", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89220, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41598-020-73383-8", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89221, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s12571-022-01289-6", "name": "error occurred", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89222, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41612-023-00437-9", "name": "Liu, K., Li, X., Wang, S. & Zhou, G. (2023) Past and future adverse response of terrestrial water storages to increased vegetation growth in drylands. npj Climate and Atmospheric Science 6. https://doi.org/10.1038/s41612-023-00437-9", "relatedTo": { "ob_id": 25066, "uuid": "58a8802721c94c66ae45c3baa4d814d0", "short_code": "ob" } }, { "ob_id": 89223, "function": "externalCitation", "linkage": "https://doi.org/10.5285/6ebcb73158b14cd5a321b7c0bc6ed393", "name": "Obu, J., Westermann, S., Barboux, C., et al. (2020) ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost ground temperature for the Northern Hemisphere, v2.0. https://doi.org/10.5285/6EBCB73158B14CD5A321B7C0BC6ED393", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89224, "function": "externalCitation", "linkage": "https://doi.org/10.5285/67a3f8c8dc914ef99f7f08eb0d997e23", "name": "Obu, J., Westermann, S., Barboux, C., et al. (2021) ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0. https://doi.org/10.5285/67A3F8C8DC914EF99F7F08EB0D997E23", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89225, "function": "externalCitation", "linkage": "https://doi.org/10.5285/28e889210f884b469d7168fde4b4e54f", "name": "Obu, J., Westermann, S., Barboux, C., et al. (2020) ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v2.0. https://doi.org/10.5285/28E889210F884B469D7168FDE4B4E54F", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89226, "function": "externalCitation", "linkage": "https://doi.org/10.5285/6e2091cb0c8b4106921b63cd5357c97c", "name": "Obu, J., Westermann, S., Barboux, C., et al. (2021) ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost extent for the Northern Hemisphere, v3.0. https://doi.org/10.5285/6E2091CB0C8B4106921B63CD5357C97C", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89227, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10712-023-09770-3", "name": "error occurred", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89228, "function": "externalCitation", "linkage": "https://doi.org/10.5285/29c4af5986ba4b9c8a3cfc33ca8d7c85", "name": "Obu, J., Westermann, S., Barboux, C., et al. (2020) ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v2.0. https://doi.org/10.5285/29C4AF5986BA4B9C8A3CFC33CA8D7C85", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89229, "function": "externalCitation", "linkage": "https://doi.org/10.3390/land13111765", "name": "Yang, Y., Wang, P., Deng, C., Liu, S., Chen, D. & Wang, R. (2024) Differential Spatiotemporal Patterns of Major Ions and Dissolved Organic Carbon Variations from Non-Permafrost to Permafrost Arctic Basins: Insights from the Severnaya Dvina, Pechora and Taz Rivers. Land 13, 1765. https://doi.org/10.3390/land13111765", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 89230, "function": "externalCitation", "linkage": "https://doi.org/10.5194/egusphere-egu21-3810", "name": "Zhang, Y., Jacob, D.J., Lu, X., et al. (2021) Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations. https://doi.org/10.5194/egusphere-egu21-3810", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89231, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2020-775", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89232, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2022-303", "name": "Chen, Z., Jacob, D., Nesser, H., et al. (2022) Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations. https://doi.org/10.5194/acp-2022-303", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89233, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2022-508", "name": "Liang, R., Zhang, Y., Liu, J., et al. (2022) East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis. https://doi.org/10.5194/acp-2022-508", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89234, "function": "externalCitation", "linkage": "https://doi.org/10.1098/rsta.2021.0106", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89235, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-23-8429-2023", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89236, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2021gb006964", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89237, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-2022-2", "name": "Parker, R.J., Wilson, C., Comyn-Platt, E., et al. (2022) Evaluation of Wetland CH4 in the JULES Land Surface Model Using Satellite Observations. https://doi.org/10.5194/bg-2022-2", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89238, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s43538-022-00076-3", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89239, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2021gb007261", "name": "Shaw, J.T., Allen, G., Barker, P., et al. (2022) Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia. Global Biogeochemical Cycles 36. https://doi.org/10.1029/2021gb007261", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89240, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2021-671-ac1", "name": "Lu, X. (2021) Reply on RC1. https://doi.org/10.5194/acp-2021-671-ac1", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89241, "function": "externalCitation", "linkage": "https://doi.org/10.5194/amt-2023-47", "name": "Balasus, N., Jacob, D.J., Lorente, A., Maasakkers, J.D., Parker, R.J., Boesch, H., Chen, Z., Kelp, M.M., Nesser, H. & Varon, D.J. (2023) A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases. https://doi.org/10.5194/amt-2023-47", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89242, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41467-022-28989-z", "name": "Feng, L., Palmer, P.I., Zhu, S., Parker, R.J. & Liu, Y. (2022) Tropical methane emissions explain large fraction of recent changes in global atmospheric methane growth rate. Nature Communications 13. https://doi.org/10.1038/s41467-022-28989-z", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89243, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-2020-284", "name": "Parker, R.J., Wilson, C., Bloom, A.A., Comyn-Platt, E., Hayman, G., McNorton, J., Boesch, H. & Chipperfield, M.P. (2020) Exploring Constraints on a Wetland Methane Emission Ensemble\n(WetCHARTs) using GOSAT Satellite Observations. https://doi.org/10.5194/bg-2020-284", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89244, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2021-671-ac2", "name": "Lu, X. (2021) Reply on RC2. https://doi.org/10.5194/acp-2021-671-ac2", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89245, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-2022-2-rc1", "name": "Melton, J. (2022) Comment on bg-2022-2. https://doi.org/10.5194/bg-2022-2-rc1", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89246, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-23-4863-2023", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89247, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-2020-114", "name": "Parker, R.J., Webb, A., Boesch, H., et al. (2020) A Decade of GOSAT Proxy Satellite CH4 Observations. https://doi.org/10.5194/essd-2020-114", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89248, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.apr.2024.102333", "name": "error occurred", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 89249, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41561-021-00763-8", "name": "error occurred", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89250, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-13-4067-2020", "name": "error occurred", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89251, "function": "externalCitation", "linkage": "https://doi.org/10.1175/bams-d-19-0127.1", "name": "error occurred", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89252, "function": "externalCitation", "linkage": "https://doi.org/10.1017/s0959270923000060", "name": "Cuadros, S. & Angulo, F. (2023) Distribution and habitat assessment of an Endangered hummingbird: the Grey-bellied Comet Taphrolesbia griseiventris. Bird Conservation International 33. https://doi.org/10.1017/s0959270923000060", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89253, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2019-300", "name": "Argles, A.P.K., Moore, J.R., Huntingford, C., Wiltshire, A.J., Jones, C.D. & Cox, P.M. (2019) Robust Ecosystem Demography (RED): a parsimonious approach to modelling vegetation dynamics in Earth System Models. https://doi.org/10.5194/gmd-2019-300", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89254, "function": "externalCitation", "linkage": "https://doi.org/10.48550/arxiv.2312.07199", "name": "Karasante, I., Alonso, L., Prapas, I., Ahuja, A., Carvalhais, N. & Papoutsis, I. (2023) SeasFire as a Multivariate Earth System Datacube for Wildfire Dynamics. https://doi.org/10.48550/ARXIV.2312.07199", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89255, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-16-4249-2023", "name": "error occurred", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89256, "function": "externalCitation", "linkage": "https://doi.org/10.48550/arxiv.2211.00534", "name": "Prapas, I., Ahuja, A., Kondylatos, S., Karasante, I., Panagiotou, E., Alonso, L., Davalas, C., Michail, D., Carvalhais, N. & Papoutsis, I. (2022) Deep Learning for Global Wildfire Forecasting. https://doi.org/10.48550/ARXIV.2211.00534", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89257, "function": "externalCitation", "linkage": "https://doi.org/10.21203/rs.3.rs-3168150/v1", "name": "Burton*, C., Lampe*, S., Kelley, D., et al. (2023) Global burned area increasingly explained by climate change. https://doi.org/10.21203/rs.3.rs-3168150/v1", "relatedTo": { "ob_id": 26433, "uuid": "3628cb2fdba443588155e15dee8e5352", "short_code": "ob" } }, { "ob_id": 89258, "function": "externalCitation", "linkage": "https://doi.org/10.5194/cp-2016-6", "name": "Zhu, L., Zhang, Y., Li, Z., Guo, B. & Wang, X. (2016) A 368-year maximum temperature reconstruction based on tree ring data in northwest Sichuan Plateau (NWSP), China. https://doi.org/10.5194/cp-2016-6", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89259, "function": "externalCitation", "linkage": "https://doi.org/10.17582/journal.sja/2022/38.5.43.52", "name": "Ayinde, A.F.O., Johnston, P.A., Olujimi, O.O., Dasgupta, P. & Akerele, D. (2022) Perception of Cassava-Based Farmers to Climate Variability in the Rain Forest and Derived Savannah Biomes of Nigeria. Sarhad Journal of Agriculture 38. https://doi.org/10.17582/journal.sja/2022/38.5.43.52", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89260, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s11127-020-00843-0", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89261, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-2016-401", "name": "Abis, B. & Brovkin, V. (2016) Environmental Conditions for Alternative Tree Cover States in High\nLatitudes. https://doi.org/10.5194/bg-2016-401", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89262, "function": "externalCitation", "linkage": "https://doi.org/10.1088/1748-9326/11/7/074021", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89263, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s13201-023-01934-1", "name": "Mianabadi, A. & Pourreza-Bilondi, M. (2023) Toward an analysis of water resources components through the Budyko approach in a large-scale framework, Iran. Applied Water Science 13. https://doi.org/10.1007/s13201-023-01934-1", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89264, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00703-016-0462-0", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89265, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2017-234", "name": "Wang, Y., Xie, Y., Dong, W., Ming, Y., Wang, J. & Shen, L. (2017) Adverse Effects of Increasing Drought on Air Quality via Natural\nProcesses. https://doi.org/10.5194/acp-2017-234", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89266, "function": "externalCitation", "linkage": "https://doi.org/10.1175/jcli-d-14-00738.1", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89267, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2016-35", "name": "Kowalczyk, E.A., Stevens, L.E., Law, R.M., Harman, I.N., Dix, M., Franklin, C.N. & Wang, Y.-P. (2016) The impact on the surface climatology from changing the land surface scheme in the ACCESS(v1.0/1.1) climate model. https://doi.org/10.5194/gmd-2016-35", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89268, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-2019-111", "name": "Arheimer, B., Pimentel, R., Isberg, K., Crochemore, L., Andersson, J.C.M., Hasan, A. & Pineda, L. (2019) Global catchment modelling using World-Wide HYPE (WWH), open data and stepwise parameter estimation. https://doi.org/10.5194/hess-2019-111", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89269, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10342-022-01450-y", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89270, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00382-016-3007-9", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89271, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-2018-638", "name": "Mianabadi, A., Coenders-Gerrits, M., Shirazi, P., Ghahraman, B. & Alizadeh, A. (2019) A global Budyko model to partition evaporation into interception and transpiration. https://doi.org/10.5194/hess-2018-638", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89272, "function": "externalCitation", "linkage": "https://doi.org/10.46555/vtei.2015.06.002", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89273, "function": "externalCitation", "linkage": "https://doi.org/10.1111/geb.12985", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89274, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00704-022-04052-1", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89275, "function": "externalCitation", "linkage": "https://doi.org/10.1175/jcli-d-14-00279.1", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89276, "function": "externalCitation", "linkage": "https://doi.org/10.1126/sciadv.1501572", "name": "Salzmann, M. (2016) Global warming without global mean precipitation increase? Science Advances 2. https://doi.org/10.1126/sciadv.1501572", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89277, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00382-020-05538-2", "name": "error occurred", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 89278, "function": "externalCitation", "linkage": "https://doi.org/10.3390/rs13101872", "name": "Zhang, R., Chan, S., Bindlish, R. & Lakshmi, V. (2021) Evaluation of Global Surface Water Temperature Data Sets for Use in Passive Remote Sensing of Soil Moisture. Remote Sensing 13, 1872. https://doi.org/10.3390/rs13101872", "relatedTo": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob" } }, { "ob_id": 89279, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2021-432", "name": "error occurred", "relatedTo": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob" } }, { "ob_id": 89280, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.1462917", "name": "Giardino, C., Bresciani, M., Cazzaniga, I., Groetsch, P., Pires, M.D., Hommersom, A., Della Bella, V. & Padula, R. (2018) Satellite observations, autonomous in situ sensors and ecological modelling: a case study in Lake Trasimeno. https://doi.org/10.5281/ZENODO.1462917", "relatedTo": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob" } }, { "ob_id": 89281, "function": "externalCitation", "linkage": "https://doi.org/10.3389/frwa.2022.803869", "name": "Fry, L.M., Gronewold, A.D., Seglenieks, F., Minallah, S., Apps, D. & Ferguson, J. (2022) Navigating Great Lakes Hydroclimate Data. Frontiers in Water 4. https://doi.org/10.3389/frwa.2022.803869", "relatedTo": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob" } }, { "ob_id": 89282, "function": "externalCitation", "linkage": "https://doi.org/10.1021/acsestwater.0c00246", "name": "error occurred", "relatedTo": { "ob_id": 27295, "uuid": "76a29c5b55204b66a40308fc2ba9cdb3", "short_code": "ob" } } ] }