Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.

GET /api/v3/onlineresources/?format=api&offset=79600
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 87212,
    "next": "https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=79700",
    "previous": "https://api.catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=79500",
    "results": [
        {
            "ob_id": 87355,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/bg-18-509-2021",
            "name": "Ford, D. (2021) Assimilating synthetic Biogeochemical-Argo and ocean colour observations into a global ocean model to inform observing system design. Biogeosciences 18, 509–534. https://doi.org/10.5194/bg-18-509-2021",
            "relatedTo": {
                "ob_id": 25390,
                "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5",
                "short_code": "coll"
            }
        },
        {
            "ob_id": 87356,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/os-17-871-2021",
            "name": "Giddings, J., Heywood, K.J., Matthews, A.J., Joshi, M.M., Webber, B.G.M., Sanchez-Franks, A., King, B.A. & Vinayachandran, P.N. (2021) Spatial and temporal variability of solar penetration depths in the Bay of Bengal and its impact on sea surface temperature (SST) during the summer monsoon. Ocean Science 17, 871–890. https://doi.org/10.5194/os-17-871-2021",
            "relatedTo": {
                "ob_id": 25390,
                "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5",
                "short_code": "coll"
            }
        },
        {
            "ob_id": 87357,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1016/j.pocean.2021.102631",
            "name": "Vidya, P.J., Balaji, M. & Mani Murali, R. (2021) Cyclone Hudhud-eddy induced phytoplankton bloom in the northern Bay of Bengal using a coupled model. Progress in Oceanography 197, 102631. https://doi.org/10.1016/j.pocean.2021.102631",
            "relatedTo": {
                "ob_id": 25390,
                "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5",
                "short_code": "coll"
            }
        },
        {
            "ob_id": 87358,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1029/2019gl085026",
            "name": "Thushara, V. & Vinayachandran, P.N. (2020) Unprecedented Surface Chlorophyll Blooms in the Southeastern Arabian Sea During an Extreme Negative Indian Ocean Dipole. Geophysical Research Letters 47. https://doi.org/10.1029/2019gl085026",
            "relatedTo": {
                "ob_id": 25390,
                "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5",
                "short_code": "coll"
            }
        },
        {
            "ob_id": 87359,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1029/2019jc015586",
            "name": "Pradhan, H.K., Völker, C., Losa, S.N., Bracher, A. & Nerger, L. (2020) Global Assimilation of Ocean‐Color Data of Phytoplankton Functional Types: Impact of Different Data Sets. Journal of Geophysical Research: Oceans 125. https://doi.org/10.1029/2019jc015586",
            "relatedTo": {
                "ob_id": 25390,
                "uuid": "9c334fbe6d424a708cf3c4cf0c6a53f5",
                "short_code": "coll"
            }
        },
        {
            "ob_id": 87360,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-2020-964",
            "name": "Zhang, Y., Jacob, D.J., Lu, X., et al. (2020) Attribution  of  the accelerating  increase  in  atmospheric  methane  during 2010–2018 by inverse analysis of GOSAT observations. https://doi.org/10.5194/acp-2020-964",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87361,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-21-4637-2021",
            "name": "Lu, X., Jacob, D.J., Zhang, Y., et al. (2021) Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) observations. Atmospheric Chemistry and Physics 21, 4637–4657. https://doi.org/10.5194/acp-21-4637-2021",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87362,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-2021-671-rc1",
            "name": "Höglund-Isaksson, L. (2021) Comment on acp-2021-671. https://doi.org/10.5194/acp-2021-671-rc1",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87363,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/bg-17-5669-2020",
            "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 (WetCHARTs) using GOSAT observations. Biogeosciences 17, 5669–5691. https://doi.org/10.5194/bg-17-5669-2020",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87364,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-10809-2022",
            "name": "Chen, Z., Jacob, D.J., Nesser, H., et al. (2022) Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations. Atmospheric Chemistry and Physics 22, 10809–10826. https://doi.org/10.5194/acp-22-10809-2022",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87365,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5281/zenodo.4052517",
            "name": "Yuzhong Zhang, Jacob, D.J., Lu, X., et al. (2021) Dataset for ‘Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations’. https://doi.org/10.5281/ZENODO.4052517",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87366,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-395-2022",
            "name": "Lu, X., Jacob, D.J., Wang, H., et al. (2022) Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations. Atmospheric Chemistry and Physics 22, 395–418. https://doi.org/10.5194/acp-22-395-2022",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87367,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-12-3383-2020",
            "name": "Parker, R.J., Webb, A., Boesch, H., et al. (2020) A decade of GOSAT Proxy satellite CH<sub>4</sub> observations. Earth System Science Data 12, 3383–3412. https://doi.org/10.5194/essd-12-3383-2020",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87368,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/bg-19-5779-2022",
            "name": "Parker, R.J., Wilson, C., Comyn-Platt, E., et al. (2022) Evaluation of wetland CH4in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations. Biogeosciences 19, 5779–5805. https://doi.org/10.5194/bg-19-5779-2022",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87369,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/amt-16-3787-2023",
            "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. Atmospheric Measurement Techniques 16, 3787–3807. https://doi.org/10.5194/amt-16-3787-2023",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87370,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-23-5945-2023",
            "name": "Chen, Z., Jacob, D.J., Gautam, R., et al. (2023) Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action. Atmospheric Chemistry and Physics 23, 5945–5967. https://doi.org/10.5194/acp-23-5945-2023",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87371,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-21-3643-2021",
            "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. Atmospheric Chemistry and Physics 21, 3643–3666. https://doi.org/10.5194/acp-21-3643-2021",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87372,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5281/zenodo.4052518",
            "name": "Yuzhong Zhang, Jacob, D.J., Lu, X., et al. (2021) Dataset for ‘Attribution of the accelerating increase in atmospheric methane during 2010–2018 by inverse analysis of GOSAT observations’. https://doi.org/10.5281/ZENODO.4052518",
            "relatedTo": {
                "ob_id": 30054,
                "uuid": "18ef8247f52a4cb6a14013f8235cc1eb",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87373,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-4779-2022",
            "name": "Froidevaux, L., Kinnison, D.E., Santee, M.L., Millán, L.F., Livesey, N.J., Read, W.G., Bardeen, C.G., Orlando, J.J. & Fuller, R.A. (2022) Upper stratospheric ClO and HOCl trends (2005–2020): Aura Microwave Limb Sounder and model results. Atmospheric Chemistry and Physics 22, 4779–4799. https://doi.org/10.5194/acp-22-4779-2022",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87374,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-1549-2022",
            "name": "Fung, K.M., Heald, C.L., Kroll, J.H., et al. (2022) Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing. Atmospheric Chemistry and Physics 22, 1549–1573. https://doi.org/10.5194/acp-22-1549-2022",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87375,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-4557-2022",
            "name": "Tilmes​​​​​​​, S., Visioni, D., Jones, A., Haywood, J., Séférian, R., Nabat, P., Boucher, O., Bednarz, E.M. & Niemeier, U. (2022) Stratospheric ozone response to sulfate aerosol and solar dimming climate interventions based on the G6 Geoengineering Model Intercomparison Project (GeoMIP) simulations. Atmospheric Chemistry and Physics 22, 4557–4579. https://doi.org/10.5194/acp-22-4557-2022",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87376,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmdd-8-10711-2015",
            "name": "Neely, R.R., III, Conley, A., Vitt, F. & Lamarque, J.F. (2015) A Consistent Prescription of Stratospheric Aerosol for Both Radiation and Chemistry in the Community Earth System Model (CESM1). https://doi.org/10.5194/gmdd-8-10711-2015",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87377,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1029/2019jd030943",
            "name": "Gettelman, A., Mills, M.J., Kinnison, D.E., et al. (2019) The Whole Atmosphere Community Climate Model Version 6 (WACCM6). Journal of Geophysical Research: Atmospheres 124, 12380–12403. https://doi.org/10.1029/2019jd030943",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87378,
            "function": "externalCitation",
            "linkage": "https://doi.org/30008810",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87379,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-22-9435-2022",
            "name": "Hindley, N.P., Mitchell, N.J., Cobbett, N., Smith, A.K., Fritts, D.C., Janches, D., Wright, C.J. & Moffat-Griffin, T. (2022) Radar observations of winds, waves and tides  in the mesosphere and lower thermosphere  over South Georgia island (54° S, 36° W) and  comparison with WACCM simulations. Atmospheric Chemistry and Physics 22, 9435–9459. https://doi.org/10.5194/acp-22-9435-2022",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87380,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/egusphere-2022-226",
            "name": "Fritz, T.M., Eastham, S.D., Emmons, L.K., Lin, H., Lundgren, E.W., Goldhaber, S., Barrett, S.R.H. & Jacob, D.J. (2022) Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1. https://doi.org/10.5194/egusphere-2022-226",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87381,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1038/s41467-020-18352-5",
            "name": "Zhu, Y., Toon, O.B., Jensen, E.J., Bardeen, C.G., Mills, M.J., Tolbert, M.A., Yu, P. & Woods, S. (2020) Persisting volcanic ash particles impact stratospheric SO2 lifetime and aerosol optical properties. Nature Communications 11. https://doi.org/10.1038/s41467-020-18352-5",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87382,
            "function": "externalCitation",
            "linkage": "https://doi.org/20.500.11850/277280",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87383,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-9-809-2017",
            "name": "Toohey, M. & Sigl, M. (2017) Volcanic stratospheric sulfur injections and aerosol optical depth from 500 BCE to 1900 CE. Earth System Science Data 9, 809–831. https://doi.org/10.5194/essd-9-809-2017",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87384,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/wcc.522",
            "name": "Hegerl, G.C., Brönnimann, S., Schurer, A. & Cowan, T. (2018) The early 20th century warming: Anomalies, causes, and consequences. WIREs Climate Change 9. https://doi.org/10.1002/wcc.522",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87385,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-2019-415",
            "name": "Niemeier, U., Timmreck, C. & Krüger, K. (2019) Revisiting the Agung 1963 volcanic forcing – impact of one or two eruptions. https://doi.org/10.5194/acp-2019-415",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87386,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/2017jd026987",
            "name": "Stone, K.A., Solomon, S., Kinnison, D.E., et al. (2017) Observing the Impact of Calbuco Volcanic Aerosols on South Polar Ozone Depletion in 2015. Journal of Geophysical Research: Atmospheres 122. https://doi.org/10.1002/2017jd026987",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87387,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1080/10962247.2018.1424057",
            "name": "Matthias, V., Arndt, J.A., Aulinger, A., Bieser, J., Denier van der Gon, H., Kranenburg, R., Kuenen, J., Neumann, D., Pouliot, G. & Quante, M. (2018) Modeling emissions for three-dimensional atmospheric chemistry transport models. Journal of the Air & Waste Management Association 68, 763–800. https://doi.org/10.1080/10962247.2018.1424057",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87388,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1029/2023gl103743",
            "name": "Chim, M.M., Aubry, T.J., Abraham, N.L., Marshall, L., Mulcahy, J., Walton, J. & Schmidt, A. (2023) Climate Projections Very Likely Underestimate Future Volcanic Forcing and Its Climatic Effects. Geophysical Research Letters 50. https://doi.org/10.1029/2023gl103743",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87389,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1016/b978-0-12-819766-0.00010-9",
            "name": "Schulz, M. & McConnell, J.R. (2022) Historical changes in aerosol. Aerosols and Climate, 249–297. https://doi.org/10.1016/b978-0-12-819766-0.00010-9",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87390,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1038/s41561-021-00803-3",
            "name": "Zambri, B., Solomon, S., Thompson, D.W.J. & Fu, Q. (2021) Emergence of Southern Hemisphere stratospheric circulation changes in response to ozone recovery. Nature Geoscience 14, 638–644. https://doi.org/10.1038/s41561-021-00803-3",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87391,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-23-921-2023",
            "name": "Quaglia, I., Timmreck, C., Niemeier, U., et al. (2023) Interactive stratospheric aerosol models’ response to different amounts and altitudes of SO2 injection during the 1991 Pinatubo eruption. Atmospheric Chemistry and Physics 23, 921–948. https://doi.org/10.5194/acp-23-921-2023",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87392,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-21-15771-2021",
            "name": "Wilka, C., Solomon, S., Kinnison, D. & Tarasick, D. (2021) An Arctic ozone hole in 2020 if not for the Montreal Protocol. Atmospheric Chemistry and Physics 21, 15771–15781. https://doi.org/10.5194/acp-21-15771-2021",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87393,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-15-8669-2022",
            "name": "Fritz, T.M., Eastham, S.D., Emmons, L.K., Lin, H., Lundgren, E.W., Goldhaber, S., Barrett, S.R.H. & Jacob, D.J. (2022) Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1. Geoscientific Model Development 15, 8669–8704. https://doi.org/10.5194/gmd-15-8669-2022",
            "relatedTo": {
                "ob_id": 13703,
                "uuid": "a8a7e52b299a46c9b09d8e56b283d385",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87394,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1088/1748-9326/ac888d",
            "name": "Hardouin, L., Delire, C., Decharme, B., et al. (2022) Uncertainty in land carbon budget simulated by terrestrial biosphere models: the role of atmospheric forcing. Environmental Research Letters 17, 094033. https://doi.org/10.1088/1748-9326/ac888d",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87395,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1088/1748-9326/abf6f5",
            "name": "Tao, J., Zhu, Q., Riley, W.J. & Neumann, R.B. (2021) Warm-season net CO2 uptake outweighs cold-season emissions over Alaskan North Slope tundra under current and RCP8.5 climate. Environmental Research Letters 16, 055012. https://doi.org/10.1088/1748-9326/abf6f5",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87396,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/bg-2019-452",
            "name": "Jones, S., Rowland, L., Cox, P., et al. (2019) The Impact of a Simple Representation of Non-Structural Carbohydrates on the Simulated Response of Tropical Forests to Drought. https://doi.org/10.5194/bg-2019-452",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87397,
            "function": "externalCitation",
            "linkage": "https://doi.org/1871.1/359583d7-c6cd-4a5d-b7db-663386609ff6",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87398,
            "function": "externalCitation",
            "linkage": "https://doi.org/1874/417964",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87399,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/tc-15-5281-2021",
            "name": "Tao, J., Zhu, Q., Riley, W.J. & Neumann, R.B. (2021) Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH<sub>4</sub> and CO<sub>2</sub> emissions at Alaskan Arctic tundra sites. The Cryosphere 15, 5281–5307. https://doi.org/10.5194/tc-15-5281-2021",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87400,
            "function": "externalCitation",
            "linkage": "https://doi.org/1871.1/432ccd0d-2471-45c1-9e00-698057cb286e",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87401,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/cli2.24",
            "name": "Huntingford, C., Sitch, S.A. & O’Sullivan, M. (2021) Impact of merging of historical and future climate data sets on land carbon cycle projections for South America. Climate Resilience and Sustainability 1. https://doi.org/10.1002/cli2.24",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87402,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-14-2029-2021",
            "name": "Zhang, Y., Boucher, O., Ciais, P., Li, L. & Bellouin, N. (2021) How to reconstruct aerosol-induced diffuse radiation scenario for simulating GPP in land surface models? An evaluation of reconstruction methods with ORCHIDEE_DFv1.0_DFforc. Geoscientific Model Development 14, 2029–2039. https://doi.org/10.5194/gmd-14-2029-2021",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87403,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/cli2.10",
            "name": "Caen, A., Smallman, T.L., de Castro, A.A., Robertson, E., von Randow, C., Cardoso, M. & Williams, M. (2021) Evaluating two land surface models for Brazil using a full carbon cycle benchmark with uncertainties. Climate Resilience and Sustainability 1. https://doi.org/10.1002/cli2.10",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87404,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1029/2020ef001655",
            "name": "Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. & Zhu, L. (2021) Changes in Biomass Turnover Times in Tropical Forests and Their Environmental Drivers From 2001 to 2012. Earth’s Future 9. https://doi.org/10.1029/2020ef001655",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87405,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/ecy.4071",
            "name": "Stratmann, T.S.M., Forrest, M., Traylor, W., Dejid, N., Olson, K.A., Mueller, T. & Hickler, T. (2023) Movement drives population dynamics of one of the most mobile ungulates on <scp>E</scp>arth: Insights from a mechanistic model. Ecology 104. https://doi.org/10.1002/ecy.4071",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87406,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-12-1561-2020",
            "name": "Saunois, M., Stavert, A.R., Poulter, B., et al. (2020) The Global Methane Budget 2000–2017. Earth System Science Data 12, 1561–1623. https://doi.org/10.5194/essd-12-1561-2020",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87407,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/esd-12-1191-2021",
            "name": "Smallman, T.L., Milodowski, D.T., Neto, E.S., Koren, G., Ometto, J. & Williams, M. (2021) Parameter uncertainty dominates C-cycle forecast  errors over most of Brazil for the 21st century. Earth System Dynamics 12, 1191–1237. https://doi.org/10.5194/esd-12-1191-2021",
            "relatedTo": {
                "ob_id": 26978,
                "uuid": "13f3635174794bb98cf8ac4b0ee8f4ed",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87408,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.48550/arxiv.2010.14300",
            "name": "Tom, M., Prabha, R., Wu, T., Baltsavias, E., Leal-Taixe, L. & Schindler, K. (2020) Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning. https://doi.org/10.48550/ARXIV.2010.14300",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87409,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-14-3329-2022",
            "name": "Cai, Y., Duguay, C.R. & Ke, C.-Q. (2022) A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere. Earth System Science Data 14, 3329–3347. https://doi.org/10.5194/essd-14-3329-2022",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87410,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.3390/app12052693",
            "name": "Ghirardi, N., Bresciani, M., Free, G., Pinardi, M., Bolpagni, R. & Giardino, C. (2022) Evaluation of Macrophyte Community Dynamics (2015–2020) in Southern Lake Garda (Italy) from Sentinel-2 Data. Applied Sciences 12, 2693. https://doi.org/10.3390/app12052693",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87411,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.3390/rs14112636",
            "name": "Matta, E., Amadori, M., Free, G., Giardino, C. & Bresciani, M. (2022) A Satellite-Based Tool for Mapping Evaporation in Inland Water Bodies: Formulation, Application, and Operational Aspects. Remote Sensing 14, 2636. https://doi.org/10.3390/rs14112636",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87412,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1038/s41467-022-32830-y",
            "name": "Li, X., Peng, S., Xi, Y., Woolway, R.I. & Liu, G. (2022) Earlier ice loss accelerates lake warming in the Northern Hemisphere. Nature Communications 13. https://doi.org/10.1038/s41467-022-32830-y",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87413,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.3390/rs14205253",
            "name": "Maxant, J., Braun, R., Caspard, M. & Clandillon, S. (2022) ExtractEO, a Pipeline for Disaster Extent Mapping in the Context of Emergency Management. Remote Sensing 14, 5253. https://doi.org/10.3390/rs14205253",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87414,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.3929/ethz-b-000566561",
            "name": "Tom, Manu, Wu, Tianyu, Baltsavias, Emmanuel, & Schindler, Konrad (2022) Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery. ETH Zurich. https://doi.org/10.3929/ETHZ-B-000566561",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87415,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1016/j.ecolind.2022.109217",
            "name": "Free, G., Bresciani, M., Pinardi, M., Simis, S., Liu, X., Albergel, C. & Giardino, C. (2022) Investigating lake chlorophyll-a responses to the 2019 European double heatwave using satellite remote sensing. Ecological Indicators 142, 109217. https://doi.org/10.1016/j.ecolind.2022.109217",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87416,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.3390/rs14041032",
            "name": "Feng, Y., Zhang, H., Tao, S., et al. (2022) Decadal Lake Volume Changes (2003–2020) and Driving Forces at a Global Scale. Remote Sensing 14, 1032. https://doi.org/10.3390/rs14041032",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87417,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/s41064-022-00215-x",
            "name": "Tom, M., Wu, T., Baltsavias, E. & Schindler, K. (2022) Recent Ice Trends in Swiss Mountain Lakes: 20-year Analysis of MODIS Imagery. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science 90, 413–431. https://doi.org/10.1007/s41064-022-00215-x",
            "relatedTo": {
                "ob_id": 30253,
                "uuid": "3c324bb4ee394d0d876fe2e1db217378",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87418,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/wcd-1-555-2020",
            "name": "Boljka, L. & Birner, T. (2020) Tropopause-level planetary wave source and its role  in two-way troposphere–stratosphere coupling. Weather and Climate Dynamics 1, 555–575. https://doi.org/10.5194/wcd-1-555-2020",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87419,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-2018-585",
            "name": "Gerber, E.P. & Martineau, P. (2018) Quantifying the variability of the annular modes: Reanalysis uncertainty vs. sampling uncertainty. https://doi.org/10.5194/acp-2018-585",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87420,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1038/s41561-019-0507-3",
            "name": "Ray, E.A., Portmann, R.W., Yu, P., Daniel, J., Montzka, S.A., Dutton, G.S., Hall, B.D., Moore, F.L. & Rosenlof, K.H. (2019) The influence of the stratospheric Quasi-Biennial Oscillation on trace gas levels at the Earth’s surface. Nature Geoscience 13, 22–27. https://doi.org/10.1038/s41561-019-0507-3",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87421,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-19-2749-2019",
            "name": "Hitchcock, P. (2019) On the value of reanalyses prior to 1979 for dynamical studies of stratosphere–troposphere coupling. Atmospheric Chemistry and Physics 19, 2749–2764. https://doi.org/10.5194/acp-19-2749-2019",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87422,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-2019-260-ac2",
            "name": "Chrysanthou, A. (2019) Reply to Anonymous Referee #2. https://doi.org/10.5194/acp-2019-260-ac2",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87423,
            "function": "externalCitation",
            "linkage": "https://doi.org/2115/72073",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87424,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-20-3809-2020",
            "name": "Orbe, C., Plummer, D.A., Waugh, D.W., et al. (2020) Description and Evaluation of the specified-dynamics experiment  in the Chemistry-Climate Model Initiative. Atmospheric Chemistry and Physics 20, 3809–3840. https://doi.org/10.5194/acp-20-3809-2020",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87425,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/wcd-1-481-2020",
            "name": "Kuchar, A., Sacha, P., Eichinger, R., Jacobi, C., Pisoft, P. & Rieder, H.E. (2020) On the intermittency of orographic gravity wave hotspots  and its importance for middle atmosphere dynamics. Weather and Climate Dynamics 1, 481–495. https://doi.org/10.5194/wcd-1-481-2020",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87426,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-21-7451-2021",
            "name": "Orr, A., Lu, H., Martineau, P., Gerber, E.P., Marshall, G.J. & Bracegirdle, T.J. (2021) Is our dynamical understanding of the circulation changes associated with the Antarctic ozone hole sensitive to the choice of reanalysis dataset? Atmospheric Chemistry and Physics 21, 7451–7472. https://doi.org/10.5194/acp-21-7451-2021",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87427,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/acp-18-17099-2018",
            "name": "Gerber, E.P. & Martineau, P. (2018) Quantifying the variability of the annular modes: reanalysis uncertainty vs. sampling uncertainty. Atmospheric Chemistry and Physics 18, 17099–17117. https://doi.org/10.5194/acp-18-17099-2018",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87428,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-10-1925-2018",
            "name": "Martineau, P., Wright, J.S., Zhu, N. & Fujiwara, M. (2018) Zonal-mean data set of global atmospheric reanalyses on pressure levels. Earth System Science Data 10, 1925–1941. https://doi.org/10.5194/essd-10-1925-2018",
            "relatedTo": {
                "ob_id": 25059,
                "uuid": "b241a7f536a244749662360bd7839312",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87429,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-12-2419-2019",
            "name": "Lutz, F., Herzfeld, T., Heinke, J., Rolinski, S., Schaphoff, S., von Bloh, W., Stoorvogel, J.J. & Müller, C. (2019) Simulating the effect of tillage practices with the global  ecosystem model LPJmL (version 5.0-tillage). Geoscientific Model Development 12, 2419–2440. https://doi.org/10.5194/gmd-12-2419-2019",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87430,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/s00484-016-1256-2",
            "name": "da Silva, R.S., Kumar, L., Shabani, F., da Silva, E.M., da Silva Galdino, T.V. & Picanço, M.C. (2016) Spatio-temporal dynamic climate model for Neoleucinodes elegantalis using CLIMEX. International Journal of Biometeorology 61, 785–795. https://doi.org/10.1007/s00484-016-1256-2",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87431,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/esd-7-627-2016",
            "name": "Wu, M., Schurgers, G., Rummukainen, M., Smith, B., Samuelsson, P., Jansson, C., Siltberg, J. & May, W. (2016) Vegetation–climate feedbacks modulate rainfall patterns in Africa under\nfuture climate change. Earth System Dynamics 7, 627–647. https://doi.org/10.5194/esd-7-627-2016",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87432,
            "function": "externalCitation",
            "linkage": "https://doi.org/11336/98776",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87433,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1371/journal.pone.0201426",
            "name": "Stuecker, M.F., Tigchelaar, M. & Kantar, M.B. (2018) Climate variability impacts on rice production in the Philippines. ed. by V. Magar. PLOS ONE 13, e0201426. https://doi.org/10.1371/journal.pone.0201426",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87434,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/hess-20-2169-2016",
            "name": "Li, Z., Chen, Y., Wang, Y. & Fang, G. (2016) Dynamic changes in terrestrial net primary production and their effects on evapotranspiration. Hydrology and Earth System Sciences 20, 2169–2178. https://doi.org/10.5194/hess-20-2169-2016",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87435,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1175/jhm-d-16-0188.1",
            "name": "Marty, C., Tilg, A.-M. & Jonas, T. (2017) Recent Evidence of Large-Scale Receding Snow Water Equivalents in the European Alps. Journal of Hydrometeorology 18, 1021–1031. https://doi.org/10.1175/jhm-d-16-0188.1",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87436,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1016/j.jhydrol.2017.03.017",
            "name": "Shi, H., Li, T. & Wei, J. (2017) Evaluation of the gridded CRU TS precipitation dataset with the point raingauge records over the Three-River Headwaters Region. Journal of Hydrology 548, 322–332. https://doi.org/10.1016/j.jhydrol.2017.03.017",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87437,
            "function": "externalCitation",
            "linkage": "https://doi.org/1871.1/73dc4b66-a0ac-426d-b535-05492c430ceb",
            "name": "not a doi",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87438,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/ece3.3118",
            "name": "Cosentino, B.J., Moore, J., Karraker, N.E., Ouellet, M. & Gibbs, J.P. (2017) Evolutionary response to global change: Climate and land use interact to shape color polymorphism in a woodland salamander. Ecology and Evolution 7, 5426–5434. https://doi.org/10.1002/ece3.3118",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87439,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-2018-255",
            "name": "Lutz, F., Herzfeld, T., Heinke, J., Rolinski, S., Schaphoff, S., von Bloh, W., Stoorvogel, J.J. & Müller, C. (2018) Simulating the effect of tillage practices with the global\necosystem model LPJmL (version 5.0-tillage). https://doi.org/10.5194/gmd-2018-255",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87440,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1073/pnas.1718031115",
            "name": "Tigchelaar, M., Battisti, D.S., Naylor, R.L. & Ray, D.K. (2018) Future warming increases probability of globally synchronized maize production shocks. Proceedings of the National Academy of Sciences 115, 6644–6649. https://doi.org/10.1073/pnas.1718031115",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87441,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1016/j.jseaes.2022.105080",
            "name": "Roy, I., Ranhotra, P.S., Tomar, N., Shekhar, M., Agrawal, S., Bhattacharyya, A., Kumar, P., Patil, S.K. & Sharma, R. (2022) Reconstruction of the late Holocene climate variability from the summer monsoon dominated Bhagirathi valley, western Himalaya. Journal of Asian Earth Sciences 227, 105080. https://doi.org/10.1016/j.jseaes.2022.105080",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87442,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.34657/3739",
            "name": "Schaphoff, S., Forkel, M., Müller, C., et al. (2018) LPJmL4 - A dynamic global vegetation model with managed land - Part 2: Model evaluation. https://doi.org/10.34657/3739",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87443,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/978-3-662-63760-9_19",
            "name": "Valcheva, R. (2021) Climate Change Projections for Bulgaria According to RCP45 Scenario Until 2099. Springer Proceedings in Complexity, 125–129. https://doi.org/10.1007/978-3-662-63760-9_19",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87444,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-11-1343-2018",
            "name": "Schaphoff, S., von Bloh, W., Rammig, A., et al. (2018) LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description. Geoscientific Model Development 11, 1343–1375. https://doi.org/10.5194/gmd-11-1343-2018",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87445,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/joc.5221",
            "name": "Wang, Z., Wu, R. & Huang, G. (2017) Low‐frequency snow changes over the Tibetan Plateau. International Journal of Climatology 38, 949–963. https://doi.org/10.1002/joc.5221",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87446,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/978-3-030-92782-0_6",
            "name": "Ranhotra, P.S., Shekhar, M., Roy, I. & Bhattacharyya, A. (2022) Holocene Climate and Glacial Extents in the Gangotri Valley, Garhwal Himalaya, India: A Review. Springer Climate, 125–142. https://doi.org/10.1007/978-3-030-92782-0_6",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87447,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-11-2789-2018",
            "name": "von Bloh, W., Schaphoff, S., Müller, C., Rolinski, S., Waha, K. & Zaehle, S. (2018) Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0). Geoscientific Model Development 11, 2789–2812. https://doi.org/10.5194/gmd-11-2789-2018",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87448,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/s00382-018-4234-z",
            "name": "Krishnamurthy, L., Muñoz, Á.G., Vecchi, G.A., Msadek, R., Wittenberg, A.T., Stern, B., Gudgel, R. & Zeng, F. (2018) Assessment of summer rainfall forecast skill in the Intra-Americas in GFDL high and low-resolution models. Climate Dynamics 52, 1965–1982. https://doi.org/10.1007/s00382-018-4234-z",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87449,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1002/2017WR021682",
            "name": "Sörensson, A.A. & Ruscica, R.C. (2018) Intercomparison and Uncertainty Assessment of Nine Evapotranspiration Estimates Over South America. Water Resources Research 54, 2891–2908. https://doi.org/10.1002/2017wr021682",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87450,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-10-1849-2017",
            "name": "Guillod, B.P., Jones, R.G., Bowery, A., et al. (2017) weather@home 2: validation of an improved global–regional climate modelling system. Geoscientific Model Development 10, 1849–1872. https://doi.org/10.5194/gmd-10-1849-2017",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87451,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/gmd-11-1377-2018",
            "name": "Schaphoff, S., Forkel, M., Müller, C., et al. (2018) LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation. Geoscientific Model Development 11, 1377–1403. https://doi.org/10.5194/gmd-11-1377-2018",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87452,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.1007/s00382-018-4183-6",
            "name": "Vautard, R., Christidis, N., Ciavarella, A., et al. (2018) Evaluation of the HadGEM3-A simulations in view of detection and attribution of human influence on extreme events in Europe. Climate Dynamics 52, 1187–1210. https://doi.org/10.1007/s00382-018-4183-6",
            "relatedTo": {
                "ob_id": 13151,
                "uuid": "5dca9487dc614711a3a933e44a933ad3",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87453,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-15-5227-2023",
            "name": "Chen, Y., Hall, J., van Wees, D., Andela, N., Hantson, S., Giglio, L., van der Werf, G.R., Morton, D.C. & Randerson, J.T. (2023) Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5). Earth System Science Data 15, 5227–5259. https://doi.org/10.5194/essd-15-5227-2023",
            "relatedTo": {
                "ob_id": 26187,
                "uuid": "065f6040ef08485db989cbd89d536167",
                "short_code": "ob"
            }
        },
        {
            "ob_id": 87454,
            "function": "externalCitation",
            "linkage": "https://doi.org/10.5194/essd-13-5353-2021",
            "name": "Gaveau, D.L.A., Descals, A., Salim, M.A., Sheil, D. & Sloan, S. (2021) Refined burned-area mapping protocol using Sentinel-2 data increases estimate of 2019 Indonesian burning. Earth System Science Data 13, 5353–5368. https://doi.org/10.5194/essd-13-5353-2021",
            "relatedTo": {
                "ob_id": 26187,
                "uuid": "065f6040ef08485db989cbd89d536167",
                "short_code": "ob"
            }
        }
    ]
}