Online Resource List
Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.
GET /api/v3/onlineresources/?format=api&offset=79700
{ "count": 87797, "next": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=79800", "previous": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=79600", "results": [ { "ob_id": 87460, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023gb007766", "name": "Yang, X., Wynn‐Edwards, C.A., Strutton, P.G. & Shadwick, E.H. (2024) Drivers of Air‐Sea CO2 Flux in the Subantarctic Zone Revealed by Time Series Observations. Global Biogeochemical Cycles 38. https://doi.org/10.1029/2023gb007766", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87461, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41467-021-27780-w", "name": "Nicholson, S.-A., Whitt, D.B., Fer, I., du Plessis, M.D., Lebéhot, A.D., Swart, S., Sutton, A.J. & Monteiro, P.M.S. (2022) Storms drive outgassing of CO2 in the subpolar Southern Ocean. Nature Communications 13. https://doi.org/10.1038/s41467-021-27780-w", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87462, "function": "externalCitation", "linkage": "https://doi.org/10.3389/fmars.2022.1048893", "name": "Li, Q., Jiang, L., Chen, Y., Tang, J. & Gao, S. (2023) Absorption-based algorithm for satellite estimating the particulate organic carbon concentration in the global surface ocean. Frontiers in Marine Science 9. https://doi.org/10.3389/fmars.2022.1048893", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87463, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2022gb007385", "name": "Monteiro, T., Batista, M., Henley, S., Machado, E. da C., Araujo, M. & Kerr, R. (2022) Contrasting Sea‐Air CO2 Exchanges in the Western Tropical Atlantic Ocean. Global Biogeochemical Cycles 36. https://doi.org/10.1029/2022gb007385", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87464, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.dynatmoce.2023.101401", "name": "A., S., Sankar, S. & K., S. (2023) Impact of tropical Indian Ocean warming on the surface phytoplankton biomass at two significant coastal upwelling zones in the Arabian Sea. Dynamics of Atmospheres and Oceans 104, 101401. https://doi.org/10.1016/j.dynatmoce.2023.101401", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87465, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023jc019922", "name": "Yang, G., Bellacicco, M., Organelli, E. & Xing, X. (2024) Global Variability of Phytoplankton Carbon and Non‐Algal Particles From Ocean Color Data Based on a Photoacclimation Model. Journal of Geophysical Research: Oceans 129. https://doi.org/10.1029/2023jc019922", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87466, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.pocean.2024.103208", "name": "Gu, Y., James Hopwood, M., Gledhill, M., Rapp, I., Wuttig, K. & Achterberg, E.P. (2024) Spatial and temporal variations in the micronutrient Fe across the Peruvian shelf from 1984 to 2017. Progress in Oceanography 221, 103208. https://doi.org/10.1016/j.pocean.2024.103208", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87467, "function": "externalCitation", "linkage": "https://doi.org/10.1111/fog.12640", "name": "Salois, S.L., Hyde, K.J.W., Silver, A., et al. (2023) Shelf break exchange processes influence the availability of the northern shortfin squid, <scp>Illex illecebrosus</scp>, in the Northwest Atlantic. Fisheries Oceanography 32, 461–478. https://doi.org/10.1111/fog.12640", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87468, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-20-3573-2023", "name": "Belcher, A., Henley, S.F., Hendry, K., Wootton, M., Friberg, L., Dallman, U., Wang, T., Coath, C. & Manno, C. (2023) Seasonal cycles of biogeochemical fluxes in the Scotia Sea, Southern Ocean: a stable isotope approach. Biogeosciences 20, 3573–3591. https://doi.org/10.5194/bg-20-3573-2023", "relatedTo": { "ob_id": 32135, "uuid": "1dbe7a109c0244aaad713e078fd3059a", "short_code": "coll" } }, { "ob_id": 87469, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2022jd038233", "name": "Zhang, T., Feng, Y. & Chen, H. (2023) Revealing the Formation of the Dipole Mode of Eurasian Snow Cover Variability During Late Autumn. Journal of Geophysical Research: Atmospheres 128. https://doi.org/10.1029/2022jd038233", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87470, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-19-1515-2022", "name": "Chen, T., Guo, R., Yan, Q., Chen, X., Zhou, S., Liang, C., Wei, X. & Dolman, H. (2022) Land Management Contributes significantly to observed Vegetation Browning in Syria during 2001–2018. Biogeosciences 19, 1515–1525. https://doi.org/10.5194/bg-19-1515-2022", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87471, "function": "externalCitation", "linkage": "https://doi.org/10.1175/jcli-d-21-0889.1", "name": "Pu, B., Jin, Q., Ginoux, P. & Yu, Y. (2022) Compound Heat Wave, Drought, and Dust Events in California. Journal of Climate 35, 8133–8152. https://doi.org/10.1175/jcli-d-21-0889.1", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87472, "function": "externalCitation", "linkage": "https://doi.org/10.5194/esd-12-121-2021", "name": "Yun, K.-S., Timmermann, A. & Stuecker, M.F. (2021) Synchronized spatial shifts of Hadley and Walker circulations. Earth System Dynamics 12, 121–132. https://doi.org/10.5194/esd-12-121-2021", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87473, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-12-2959-2020", "name": "Iturbide, M., Gutiérrez, J.M., Alves, L.M., et al. (2020) An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets. Earth System Science Data 12, 2959–2970. https://doi.org/10.5194/essd-12-2959-2020", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87474, "function": "externalCitation", "linkage": "https://doi.org/10.1088/1748-9326/ac3288", "name": "Simpson, C., Hosking, J.S., Mitchell, D., Betts, R.A. & Shuckburgh, E. (2021) Regional disparities and seasonal differences in climate risk to rice labour. Environmental Research Letters 16, 124004. https://doi.org/10.1088/1748-9326/ac3288", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87475, "function": "externalCitation", "linkage": "https://doi.org/10.1101/2021.09.02.458669", "name": "Chenaoui, C., Miled, S.B., Ndongo, M.S., Ndiaye, P.I., Rekik, M. & Darghouth, M.A. (2021) A climate-based model for tick life cycle: an infinite system of differential equation approach. https://doi.org/10.1101/2021.09.02.458669", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87476, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-15-413-2022", "name": "García-García, A., Cuesta-Valero, F.J., Beltrami, H., González-Rouco, J.F. & García-Bustamante, E. (2022) WRF v.3.9 sensitivity to land surface model and horizontal resolution changes over North America. Geoscientific Model Development 15, 413–428. https://doi.org/10.5194/gmd-15-413-2022", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87477, "function": "externalCitation", "linkage": "https://doi.org/10.1098/rspb.2020.2725", "name": "Krauer, F., Viljugrein, H. & Dean, K.R. (2021) The influence of temperature on the seasonality of historical plague outbreaks. Proceedings of the Royal Society B: Biological Sciences 288, 20202725. https://doi.org/10.1098/rspb.2020.2725", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87478, "function": "externalCitation", "linkage": "https://doi.org/10.1111/gcb.15978", "name": "Williams, J.J., Freeman, R., Spooner, F. & Newbold, T. (2021) Vertebrate population trends are influenced by interactions between land use, climatic position, habitat loss and climate change. Global Change Biology 28, 797–815. https://doi.org/10.1111/gcb.15978", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87479, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-12-3269-2020", "name": "Friedlingstein, P., O’Sullivan, M., Jones, M.W., et al. (2020) Global Carbon Budget 2020. Earth System Science Data 12, 3269–3340. https://doi.org/10.5194/essd-12-3269-2020", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87480, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00704-021-03907-3", "name": "Fahim, T.C. & Sikder, B.B. (2022) Exploring farmers’ perception of climate-induced events and adaptation practices to protect crop production and livestock farming in the Haor area of north-eastern Bangladesh. Theoretical and Applied Climatology 148, 441–454. https://doi.org/10.1007/s00704-021-03907-3", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87481, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.rsma.2023.103240", "name": "de Lima Freires, J., Lage-Pinto, F. & Bernini, E. (2023) Estimation of the extent of defoliation in Avicennia L. (Acanthaceae) caused by caterpillars of Hyblaea puera (Cramer, 1777) in a tropical mangrove. Regional Studies in Marine Science 68, 103240. https://doi.org/10.1016/j.rsma.2023.103240", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87482, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2022jd037160", "name": "Midhun, M., Lekshmy, P.R., Thirumalai, K. & Ramesh, R. (2022) Coherent Indian Summer Monsoon and Sahel Rainfall Variability Revealed by Ethiopian Rainfall δ18O. Journal of Geophysical Research: Atmospheres 127. https://doi.org/10.1029/2022jd037160", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87483, "function": "externalCitation", "linkage": "https://doi.org/10.1177/09596836241254480", "name": "Arora, P., Nawaz Ali, S., Singh, P., Shekhar, M., Morthekai, P., Ghosh, R. & Maharana, P. (2024) An assessment of the correlations and causations of palaeo-hydroclimatic variability in India’s monsoon-dominated Central Himalaya. The Holocene. https://doi.org/10.1177/09596836241254480", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87484, "function": "externalCitation", "linkage": "https://doi.org/10.1002/joc.7572", "name": "Lovino, M.A., Müller, G.V., Pierrestegui, M.J., Espinosa, E. & Rodríguez, L. (2022) Extreme precipitation events in the Austral Chaco region of Argentina. International Journal of Climatology 42, 5985–6006. https://doi.org/10.1002/joc.7572", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87485, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00477-022-02244-9", "name": "Liu, D. & Fu, D. (2022) The water yield pattern for annual and monthly scales from a unifying catchment water balance model. Stochastic Environmental Research and Risk Assessment 36, 4057–4072. https://doi.org/10.1007/s00477-022-02244-9", "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 87486, "function": "externalCitation", "linkage": "https://doi.org/10.25592/uhhfdm.8525", "name": "Rauschenbach, Q., Doerr, J., Notz, D. & Kern, S. (2024) UHH Sea Ice Area Product. https://doi.org/10.25592/UHHFDM.8525", "relatedTo": { "ob_id": 39793, "uuid": "eade27004395466aaa006135e1b2ad1a", "short_code": "ob" } }, { "ob_id": 87487, "function": "externalCitation", "linkage": "https://doi.org/10.25592/uhhfdm.11346", "name": "Rauschenbach, Q., Doerr, J., Notz, D. & Kern, S. (2024) UHH Sea Ice Area Product. https://doi.org/10.25592/UHHFDM.11346", "relatedTo": { "ob_id": 39793, "uuid": "eade27004395466aaa006135e1b2ad1a", "short_code": "ob" } }, { "ob_id": 87488, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023ef003983", "name": "van der Wiel, K., Beersma, J., van den Brink, H., Krikken, F., Selten, F., Severijns, C., Sterl, A., van Meijgaard, E., Reerink, T. & van Dorland, R. (2024) KNMI’23 Climate Scenarios for the Netherlands: Storyline Scenarios of Regional Climate Change. Earth’s Future 12. https://doi.org/10.1029/2023ef003983", "relatedTo": { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "short_code": "ob" } }, { "ob_id": 87489, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-13-45-2016", "name": "Dass, P., Rawlins, M.A., Kimball, J.S. & Kim, Y. (2016) Environmental controls on the increasing GPP of terrestrial vegetation across northern Eurasia. Biogeosciences 13, 45–62. https://doi.org/10.5194/bg-13-45-2016", "relatedTo": { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "short_code": "ob" } }, { "ob_id": 87490, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-12-4121-2015", "name": "Hashimoto, S., Carvalhais, N., Ito, A., Migliavacca, M., Nishina, K. & Reichstein, M. (2015) Global spatiotemporal distribution of soil respiration modeled using a global database. Biogeosciences 12, 4121–4132. https://doi.org/10.5194/bg-12-4121-2015", "relatedTo": { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "short_code": "ob" } }, { "ob_id": 87491, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-17-1293-2020", "name": "Basile, S.J., Lin, X., Wieder, W.R., Hartman, M.D. & Keppel-Aleks, G. (2020) Leveraging the signature of heterotrophic respiration on atmospheric CO&lt;sub&gt;2&lt;/sub&gt; for model benchmarking. Biogeosciences 17, 1293–1308. https://doi.org/10.5194/bg-17-1293-2020", "relatedTo": { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "short_code": "ob" } }, { "ob_id": 87492, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00704-018-2730-z", "name": "Quesada-Montano, B., Wetterhall, F., Westerberg, I.K., Hidalgo, H.G. & Halldin, S. (2018) Characterising droughts in Central America with uncertain hydro-meteorological data. Theoretical and Applied Climatology 137, 2125–2138. https://doi.org/10.1007/s00704-018-2730-z", "relatedTo": { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "short_code": "ob" } }, { "ob_id": 87493, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00703-023-00990-1", "name": "Libanda, B. & Paeth, H. (2023) Future photovoltaic solar power resources in Zambia: a CORDEX-CORE multi-model synthesis. Meteorology and Atmospheric Physics 135. https://doi.org/10.1007/s00703-023-00990-1", "relatedTo": { "ob_id": 6679, "uuid": "ac4ecbd554d0dd52a9b575d9666dc42d", "short_code": "ob" } }, { "ob_id": 87494, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00704-017-2246-y", "name": "Ongoma, V., Chen, H., Gao, C. & Sagero, P.O. (2017) Variability of temperature properties over Kenya based on observed and reanalyzed datasets. Theoretical and Applied Climatology 133, 1175–1190. https://doi.org/10.1007/s00704-017-2246-y", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 87495, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.dendro.2016.07.001", "name": "Natalini, F., Alejano, R., Vázquez-Piqué, J., Pardos, M., Calama, R. & Büntgen, U. (2016) Spatiotemporal variability of stone pine ( Pinus pinea L.) growth response to climate across the Iberian Peninsula. Dendrochronologia 40, 72–84. https://doi.org/10.1016/j.dendro.2016.07.001", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 87496, "function": "externalCitation", "linkage": "https://doi.org/10.1002/2016jg003576", "name": "Chu, H., Baldocchi, D.D., John, R., Wolf, S. & Reichstein, M. (2017) Fluxes all of the time? A primer on the temporal representativeness of FLUXNET. Journal of Geophysical Research: Biogeosciences 122, 289–307. https://doi.org/10.1002/2016jg003576", "relatedTo": { "ob_id": 6681, "uuid": "4a6d071383976a5fb24b5b42e28cf28f", "short_code": "ob" } }, { "ob_id": 87497, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00382-021-05977-5", "name": "Scholz, S.R., Seager, R., Ting, M., Kushnir, Y., Smerdon, J.E., Cook, B.I., Cook, E.R. & Baek, S.H. (2021) Changing hydroclimate dynamics and the 19th to 20th century wetting trend in the English Channel region of northwest Europe. Climate Dynamics 58, 1539–1553. https://doi.org/10.1007/s00382-021-05977-5", "relatedTo": { "ob_id": 25063, "uuid": "c311c7948e8a47b299f8f9c7ae6cb9af", "short_code": "ob" } }, { "ob_id": 87498, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41598-018-29286-w", "name": "Grotjahn, R. & Huynh, J. (2018) Contiguous US summer maximum temperature and heat stress trends in CRU and NOAA Climate Division data plus comparisons to reanalyses. Scientific Reports 8. https://doi.org/10.1038/s41598-018-29286-w", "relatedTo": { "ob_id": 25063, "uuid": "c311c7948e8a47b299f8f9c7ae6cb9af", "short_code": "ob" } }, { "ob_id": 87499, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-22-3155-2018", "name": "Lovino, M.A., Müller, O.V., Müller, G.V., Sgroi, L.C. & Baethgen, W.E. (2018) Interannual-to-multidecadal hydroclimate variability and its sectoral impacts in northeastern Argentina. Hydrology and Earth System Sciences 22, 3155–3174. https://doi.org/10.5194/hess-22-3155-2018", "relatedTo": { "ob_id": 25063, "uuid": "c311c7948e8a47b299f8f9c7ae6cb9af", "short_code": "ob" } }, { "ob_id": 87500, "function": "externalCitation", "linkage": "https://doi.org/10.1002/ldr.4091", "name": "Bekele, R.D., Mirzabaev, A. & Mekonnen, D. (2021) Adoption of multiple sustainable land management practices among irrigator rural farm households of Ethiopia. Land Degradation & Development 32, 5052–5068. https://doi.org/10.1002/ldr.4091", "relatedTo": { "ob_id": 25063, "uuid": "c311c7948e8a47b299f8f9c7ae6cb9af", "short_code": "ob" } }, { "ob_id": 87501, "function": "externalCitation", "linkage": "https://doi.org/10.1080/07900627.2021.1936465", "name": "Bekele, R.D. & Mekonnen, D. (2021) Local empowerment and irrigation devolution in Ethiopia. International Journal of Water Resources Development 38, 1062–1088. https://doi.org/10.1080/07900627.2021.1936465", "relatedTo": { "ob_id": 25063, "uuid": "c311c7948e8a47b299f8f9c7ae6cb9af", "short_code": "ob" } }, { "ob_id": 87502, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.jag.2022.102761", "name": "Deshpande, M.V., Pillai, D. & Jain, M. (2022) Detecting and quantifying residue burning in smallholder systems: An integrated approach using Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation 108, 102761. https://doi.org/10.1016/j.jag.2022.102761", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87503, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.atech.2023.100347", "name": "PNVR, K. & Bandaru, V. (2023) Mapping sugarcane residue burnt areas in smallholder farming systems using machine learning approaches. Smart Agricultural Technology 6, 100347. https://doi.org/10.1016/j.atech.2023.100347", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87504, "function": "externalCitation", "linkage": "https://doi.org/10.1109/igarss47720.2021.9553090", "name": "Santi, E., Clarizia, M.P., Comite, D., Dente, L., Guerriero, L. & Pierdicca, N. (2021) On the Use of GNSS Reflectometry for Detecting Fire Disturbances in Forests: A Case Study in Angola. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. https://doi.org/10.1109/igarss47720.2021.9553090", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87505, "function": "externalCitation", "linkage": "https://doi.org/10.1088/1748-9326/ac1e3a", "name": "Li, S., Sparrow, S.N., Otto, F.E.L., Rifai, S.W., Oliveras, I., Krikken, F., Anderson, L.O., Malhi, Y. & Wallom, D. (2021) Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation. Environmental Research Letters 16, 094051. https://doi.org/10.1088/1748-9326/ac1e3a", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87506, "function": "externalCitation", "linkage": "https://doi.org/10.1186/s40562-022-00255-6", "name": "Shi, K. & Touge, Y. (2023) Identifying the shift in global wildfire weather conditions over the past four decades: an analysis based on change-points and long-term trends. Geoscience Letters 10. https://doi.org/10.1186/s40562-022-00255-6", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87507, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10661-022-10704-6", "name": "Lourenco, M., Woodborne, S. & Fitchett, J.M. (2022) Fire regime of peatlands in the Angolan Highlands. Environmental Monitoring and Assessment 195. https://doi.org/10.1007/s10661-022-10704-6", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87508, "function": "externalCitation", "linkage": "https://doi.org/10.3390/f13071050", "name": "Shmuel, A. & Heifetz, E. (2022) Global Wildfire Susceptibility Mapping Based on Machine Learning Models. Forests 13, 1050. https://doi.org/10.3390/f13071050", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 87509, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s11676-021-01421-w", "name": "Luo, K., Wei, Y., Du, J., et al. (2021) Machine learning-based estimates of aboveground biomass of subalpine forests using Landsat 8 OLI and Sentinel-2B images in the Jiuzhaigou National Nature Reserve, Eastern Tibet Plateau. Journal of Forestry Research 33, 1329–1340. https://doi.org/10.1007/s11676-021-01421-w", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87510, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41893-022-00872-1", "name": "Xu, Y., Yu, L., Ciais, P., Li, W., Santoro, M., Yang, H. & Gong, P. (2022) Recent expansion of oil palm plantations into carbon-rich forests. Nature Sustainability 5, 574–577. https://doi.org/10.1038/s41893-022-00872-1", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87511, "function": "externalCitation", "linkage": "https://doi.org/10.1101/2020.04.16.021444", "name": "Jung, M., Arnell, A., de Lamo, X., et al. (2020) Areas of global importance for terrestrial biodiversity, carbon, and water. https://doi.org/10.1101/2020.04.16.021444", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87512, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-15-1465-2023", "name": "Harper, K.L., Lamarche, C., Hartley, A., et al. (2023) A 29-year time series of annual 300 m resolution plant-functional-type maps for climate models. Earth System Science Data 15, 1465–1499. https://doi.org/10.5194/essd-15-1465-2023", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87513, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-20-1027-2023", "name": "Schmidt, L., Forkel, M., Zotta, R.-M., Scherrer, S., Dorigo, W.A., Kuhn-Régnier, A., van der Schalie, R. & Yebra, M. (2023) Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties. Biogeosciences 20, 1027–1046. https://doi.org/10.5194/bg-20-1027-2023", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87514, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41558-021-01027-4", "name": "Wang, J.A., Baccini, A., Farina, M., Randerson, J.T. & Friedl, M.A. (2021) Disturbance suppresses the aboveground carbon sink in North American boreal forests. Nature Climate Change 11, 435–441. https://doi.org/10.1038/s41558-021-01027-4", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87515, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41559-021-01528-7", "name": "Jung, M., Arnell, A., de Lamo, X., et al. (2021) Areas of global importance for conserving terrestrial biodiversity, carbon and water. Nature Ecology & Evolution 5, 1499–1509. https://doi.org/10.1038/s41559-021-01528-7", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 87516, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.applthermaleng.2024.122381", "name": "Cowley, T., Hutty, T., Hammond, J. & Brown, S. (2024) Achieving emission reduction through the utilisation of local low-grade heat sources in district heating networks. Applied Thermal Engineering 242, 122381. https://doi.org/10.1016/j.applthermaleng.2024.122381", "relatedTo": { "ob_id": 32968, "uuid": "92e823b277cc4f439803a87f5246db5f", "short_code": "ob" } }, { "ob_id": 87517, "function": "externalCitation", "linkage": "https://doi.org/10.3390/heritage5040154", "name": "Brimblecombe, P. & Richards, J. (2022) Moisture as a Driver of Long-Term Threats to Timber Heritage—Part II: Risks Imposed on Structures at Local Sites. Heritage 5, 2966–2986. https://doi.org/10.3390/heritage5040154", "relatedTo": { "ob_id": 32968, "uuid": "92e823b277cc4f439803a87f5246db5f", "short_code": "ob" } }, { "ob_id": 87518, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.ecolind.2023.109945", "name": "Yang, L., Zhao, G., Mu, X., Lan, Z., Jiao, J., An, S., Wu, Y. & Miping, P. (2023) Integrated assessments of land degradation on the Qinghai-Tibet plateau. Ecological Indicators 147, 109945. https://doi.org/10.1016/j.ecolind.2023.109945", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 87519, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-14-865-2022", "name": "Ran, Y., Li, X., Cheng, G., et al. (2022) New high-resolution estimates of the permafrost thermal state and hydrothermal conditions over the Northern Hemisphere. Earth System Science Data 14, 865–884. https://doi.org/10.5194/essd-14-865-2022", "relatedTo": { "ob_id": 32619, "uuid": "b25d4a6174de4ac78000d034f500a268", "short_code": "ob" } }, { "ob_id": 87520, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41561-022-01114-x", "name": "Higgins, S.I., Conradi, T. & Muhoko, E. (2023) Shifts in vegetation activity of terrestrial ecosystems attributable to climate trends. Nature Geoscience 16, 147–153. https://doi.org/10.1038/s41561-022-01114-x", "relatedTo": { "ob_id": 26188, "uuid": "4f377defc2454db9b2a6d032abfd0cbd", "short_code": "ob" } }, { "ob_id": 87521, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob" } }, { "ob_id": 87522, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3562, "uuid": "80d969943356f251675039306fc9aaf4", "short_code": "ob" } }, { "ob_id": 87523, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3528, "uuid": "9f7d4c63f8ba5ca0e3ca6ed4a62d6cdf", "short_code": "ob" } }, { "ob_id": 87524, "function": "externalCitation", "linkage": "https://doi.org/10.1002/gdj3.2", "name": "Callaghan, S.A., Waight, J., Agnew, J.L., Walden, C.J., Wrench, C.L. & Ventouras, S. (2013) The <scp>GBS</scp> dataset: measurements of satellite site diversity at 20.7 GHz in the UK. Geoscience Data Journal 1, 2–6. https://doi.org/10.1002/gdj3.2", "relatedTo": { "ob_id": 3528, "uuid": "9f7d4c63f8ba5ca0e3ca6ed4a62d6cdf", "short_code": "ob" } }, { "ob_id": 87525, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3528, "uuid": "9f7d4c63f8ba5ca0e3ca6ed4a62d6cdf", "short_code": "ob" } }, { "ob_id": 87526, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob" } }, { "ob_id": 87527, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3557, "uuid": "4918af56410c6af1890950ae8f3c04ec", "short_code": "ob" } }, { "ob_id": 87528, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-14-7287-2021", "name": "Power, D., Rico-Ramirez, M.A., Desilets, S., Desilets, D. & Rosolem, R. (2021) Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data. Geoscientific Model Development 14, 7287–7307. https://doi.org/10.5194/gmd-14-7287-2021", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87529, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-15-345-2023", "name": "Dalagnol, R., Galvão, L.S., Wagner, F.H., de Moura, Y.M., Gonçalves, N., Wang, Y., Lyapustin, A., Yang, Y., Saatchi, S. & Aragão, L.E.O.C. (2023) AnisoVeg: anisotropy and nadir-normalized MODIS multi-angle implementation atmospheric correction (MAIAC) datasets for satellite vegetation studies in South America. Earth System Science Data 15, 345–358. https://doi.org/10.5194/essd-15-345-2023", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87530, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41586-022-05679-w", "name": "Heinrich, V.H.A., Vancutsem, C., Dalagnol, R., et al. (2023) The carbon sink of secondary and degraded humid tropical forests. Nature 615, 436–442. https://doi.org/10.1038/s41586-022-05679-w", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87531, "function": "externalCitation", "linkage": "https://doi.org/10.1186/s13021-022-00214-w", "name": "Bastos, A., Ciais, P., Sitch, S., et al. (2022) On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance and Management 17. https://doi.org/10.1186/s13021-022-00214-w", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87532, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.landusepol.2022.106207", "name": "Lippe, M., Rummel, L. & Günter, S. (2022) Simulating land use and land cover change under contrasting levels of policy enforcement and its spatially-explicit impact on tropical forest landscapes in Ecuador. Land Use Policy 119, 106207. https://doi.org/10.1016/j.landusepol.2022.106207", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87533, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41467-022-34966-3", "name": "Clarke, H., Nolan, R.H., De Dios, V.R., Bradstock, R., Griebel, A., Khanal, S. & Boer, M.M. (2022) Forest fire threatens global carbon sinks and population centres under rising atmospheric water demand. Nature Communications 13. https://doi.org/10.1038/s41467-022-34966-3", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87534, "function": "externalCitation", "linkage": "https://doi.org/10.3390/rs13214321", "name": "Sun, S., Wang, Yafei, Song, Z., et al. (2021) Modelling Aboveground Biomass Carbon Stock of the Bohai Rim Coastal Wetlands by Integrating Remote Sensing, Terrain, and Climate Data. Remote Sensing 13, 4321. https://doi.org/10.3390/rs13214321", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87535, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41558-022-01544-w", "name": "Mugabowindekwe, M., Brandt, M., Chave, J., et al. (2022) Nation-wide mapping of tree-level aboveground carbon stocks in Rwanda. Nature Climate Change 13, 91–97. https://doi.org/10.1038/s41558-022-01544-w", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 87536, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-27-1151-2023", "name": "Reyniers, N., Osborn, T.J., Addor, N. & Darch, G. (2023) Projected changes in droughts and extreme droughts in Great Britain strongly influenced by the choice of drought index. Hydrology and Earth System Sciences 27, 1151–1171. https://doi.org/10.5194/hess-27-1151-2023", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87537, "function": "externalCitation", "linkage": "https://doi.org/10.1101/2023.06.26.546609", "name": "West, B., Jones, D.L., Robinson, E.L., Keith, A.M., Kallow, S., Marrs, R.H. & Smart, S.M. (2023) Make like a tree and leave: How will tree species loss and climate change alter future temperate broadleaved forests? https://doi.org/10.1101/2023.06.26.546609", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87538, "function": "externalCitation", "linkage": "https://doi.org/10.1111/icad.12407", "name": "Gardiner, T. & Didham, R.K. (2020) Glowing, glowing, gone? Monitoring long‐term trends in glow‐worm numbers in south‐east England. Insect Conservation and Diversity 13, 162–174. https://doi.org/10.1111/icad.12407", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87539, "function": "externalCitation", "linkage": "https://doi.org/10.1002/2688-8319.12233", "name": "West, B., Jones, D.L., Robinson, E.L., Marrs, R.H. & Smart, S.M. (2023) Model‐based assessment of the impact of agri‐environment scheme options and short‐term climate change on plant biodiversity in temperate grasslands. Ecological Solutions and Evidence 4. https://doi.org/10.1002/2688-8319.12233", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87540, "function": "externalCitation", "linkage": "https://doi.org/10.3354/meps14462", "name": "Davies, J., Humphreys, E., Evans, T., Howells, R., O’Hara-Murray, R. & Pearce-Higgins, J. (2023) Seabird abundances projected to decline in response to climate change in Britain and Ireland. Marine Ecology Progress Series 725, 121–140. https://doi.org/10.3354/meps14462", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87541, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.landurbplan.2021.104163", "name": "Zawadzka, J.E., Harris, J.A. & Corstanje, R. (2021) Assessment of heat mitigation capacity of urban greenspaces with the use of InVEST urban cooling model, verified with day-time land surface temperature data. Landscape and Urban Planning 214, 104163. https://doi.org/10.1016/j.landurbplan.2021.104163", "relatedTo": { "ob_id": 28137, "uuid": "d134335808894b2bb249e9f222e2eca8", "short_code": "ob" } }, { "ob_id": 87542, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3549, "uuid": "488594e874ff1a613d4966ed113f16fc", "short_code": "ob" } }, { "ob_id": 87543, "function": "externalCitation", "linkage": "https://doi.org/10.1002/gdj3.2", "name": "Callaghan, S.A., Waight, J., Agnew, J.L., Walden, C.J., Wrench, C.L. & Ventouras, S. (2013) The <scp>GBS</scp> dataset: measurements of satellite site diversity at 20.7 GHz in the UK. Geoscience Data Journal 1, 2–6. https://doi.org/10.1002/gdj3.2", "relatedTo": { "ob_id": 3549, "uuid": "488594e874ff1a613d4966ed113f16fc", "short_code": "ob" } }, { "ob_id": 87544, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3549, "uuid": "488594e874ff1a613d4966ed113f16fc", "short_code": "ob" } }, { "ob_id": 87545, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob" } }, { "ob_id": 87546, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3552, "uuid": "b4709a1a0bd8d3b68e388f0d1864bf4f", "short_code": "ob" } }, { "ob_id": 87547, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-08425-1_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3524, "uuid": "506b190cc98778964e8f23fd41407a03", "short_code": "ob" } }, { "ob_id": 87548, "function": "externalCitation", "linkage": "https://doi.org/10.1002/gdj3.2", "name": "Callaghan, S.A., Waight, J., Agnew, J.L., Walden, C.J., Wrench, C.L. & Ventouras, S. (2013) The <scp>GBS</scp> dataset: measurements of satellite site diversity at 20.7 GHz in the UK. Geoscience Data Journal 1, 2–6. https://doi.org/10.1002/gdj3.2", "relatedTo": { "ob_id": 3524, "uuid": "506b190cc98778964e8f23fd41407a03", "short_code": "ob" } }, { "ob_id": 87549, "function": "externalCitation", "linkage": "https://doi.org/10.1007/978-3-319-14226-5_1", "name": "Callaghan, S. (2014) Datasets: From Creation to Publication. Communications in Computer and Information Science, 3–9. https://doi.org/10.1007/978-3-319-08425-1_1", "relatedTo": { "ob_id": 3524, "uuid": "506b190cc98778964e8f23fd41407a03", "short_code": "ob" } }, { "ob_id": 87550, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2019gl086901", "name": "Griffiths, P.T., Keeble, J., Shin, Y.M., Abraham, N.L., Archibald, A.T. & Pyle, J.A. (2020) On the Changing Role of the Stratosphere on the Tropospheric Ozone Budget: 1979–2010. Geophysical Research Letters 47. https://doi.org/10.1029/2019gl086901", "relatedTo": { "ob_id": 30188, "uuid": "549bce914f66451d838bff5c0a557b37", "short_code": "ob" } }, { "ob_id": 87551, "function": "externalCitation", "linkage": "https://doi.org/10.1525/elementa.2021.00049", "name": "Smyth, T.J., Wright, A.E., McKee, D., Tidau, S., Tamir, R., Dubinsky, Z., Iluz, D. & Davies, T.W. (2021) A global atlas of artificial light at night under the sea. Elementa: Science of the Anthropocene 9. https://doi.org/10.1525/elementa.2021.00049", "relatedTo": { "ob_id": 27791, "uuid": "00b5fc99f9384782976a4453b0148f49", "short_code": "coll" } }, { "ob_id": 87552, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-16-4473-2022", "name": "Wang, J., Min, C., Ricker, R., Shi, Q., Han, B., Hendricks, S., Wu, R. & Yang, Q. (2022) A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean. The Cryosphere 16, 4473–4490. https://doi.org/10.5194/tc-16-4473-2022", "relatedTo": { "ob_id": 25871, "uuid": "48fc3d1e8ada405c8486ada522dae9e8", "short_code": "ob" } }, { "ob_id": 87553, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-12-2437-2018", "name": "Paul, S., Hendricks, S., Ricker, R., Kern, S. & Rinne, E. (2018) Empirical parametrization of Envisat freeboard retrieval of Arctic and Antarctic sea ice based on CryoSat-2: progress in the ESA Climate Change Initiative. The Cryosphere 12, 2437–2460. https://doi.org/10.5194/tc-12-2437-2018", "relatedTo": { "ob_id": 25871, "uuid": "48fc3d1e8ada405c8486ada522dae9e8", "short_code": "ob" } }, { "ob_id": 87554, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-15-5483-2021", "name": "Garnier, F., Fleury, S., Garric, G., Bouffard, J., Tsamados, M., Laforge, A., Bocquet, M., Fredensborg Hansen, R.M. & Remy, F. (2021) Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements. The Cryosphere 15, 5483–5512. https://doi.org/10.5194/tc-15-5483-2021", "relatedTo": { "ob_id": 25871, "uuid": "48fc3d1e8ada405c8486ada522dae9e8", "short_code": "ob" } }, { "ob_id": 87555, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-16-1807-2022", "name": "Liao, S., Luo, H., Wang, J., Shi, Q., Zhang, J. & Yang, Q. (2022) An evaluation of Antarctic sea-ice thickness from the Global Ice-Ocean Modeling and Assimilation System based on in situ and satellite observations. The Cryosphere 16, 1807–1819. https://doi.org/10.5194/tc-16-1807-2022", "relatedTo": { "ob_id": 25871, "uuid": "48fc3d1e8ada405c8486ada522dae9e8", "short_code": "ob" } }, { "ob_id": 87556, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-021-00145-3", "name": "Mason, E., Wieser, P.E., Liu, E.J., et al. (2021) Volatile metal emissions from volcanic degassing and lava–seawater interactions at Kīlauea Volcano, Hawai’i. Communications Earth & Environment 2. https://doi.org/10.1038/s43247-021-00145-3", "relatedTo": { "ob_id": 32170, "uuid": "656204c257144708a641507c78187aaa", "short_code": "ob" } }, { "ob_id": 87557, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-13-5663-2021", "name": "Chamberlain, M.A., Oke, P.R., Fiedler, R.A.S., Beggs, H.M., Brassington, G.B. & Divakaran, P. (2021) Next generation of Bluelink ocean reanalysis with multiscale data assimilation: BRAN2020. Earth System Science Data 13, 5663–5688. https://doi.org/10.5194/essd-13-5663-2021", "relatedTo": { "ob_id": 27526, "uuid": "373638ed9c434e78b521cbe01ace5ef7", "short_code": "ob" } }, { "ob_id": 87558, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41597-019-0236-x", "name": "Merchant, C.J., Embury, O., Bulgin, C.E., et al. (2019) Satellite-based time-series of sea-surface temperature since 1981 for climate applications. Scientific Data 6. https://doi.org/10.1038/s41597-019-0236-x", "relatedTo": { "ob_id": 27526, "uuid": "373638ed9c434e78b521cbe01ace5ef7", "short_code": "ob" } }, { "ob_id": 87559, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023ea002901", "name": "Green, H.L., Findlay, H.S., Shutler, J.D., Sims, R., Bellerby, R. & Land, P.E. (2023) Observing Temporally Varying Synoptic‐Scale Total Alkalinity and Dissolved Inorganic Carbon in the Arctic Ocean. Earth and Space Science 10. https://doi.org/10.1029/2023ea002901", "relatedTo": { "ob_id": 27532, "uuid": "62c0f97b1eac4e0197a674870afe1ee6", "short_code": "ob" } } ] }