Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2016) (original) (raw)

The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.

Adloff, M., Singer, M.B., MacLeod, D.A., Michaelides, K., Mehrnegar, N., Hansford, E., Funk, C. & Mitchell, D. (2022) Sustained Water Storage in Horn of Africa Drylands Dominated by Seasonal Rainfall Extremes. Geophysical Research Letters 49. https://doi.org/10.1029/2022gl099299 https://doi.org/10.1029/2022gl099299

Ardilouze, C., Batté, L., Decharme, B. & Déqué, M. (2019) On the Link between Summer Dry Bias over the U.S. Great Plains and Seasonal Temperature Prediction Skill in a Dynamical Forecast System. Weather and Forecasting 34, 1161–1172. https://doi.org/10.1175/waf-d-19-0023.1 https://doi.org/10.1175/waf-d-19-0023.1

Basile, S.J., Lin, X., Wieder, W.R., Hartman, M.D. & Keppel-Aleks, G. (2019) Leveraging the signature of heterotrophic respiration on atmospheric CO2 for model benchmarking. https://doi.org/10.5194/bg-2019-256 https://doi.org/10.5194/bg-2019-256

Berner, L.T., Massey, R., Jantz, P., et al. (2020) Summer warming explains widespread but not uniform greening in the Arctic tundra biome. Nature Communications 11. https://doi.org/10.1038/s41467-020-18479-5 https://doi.org/10.1038/s41467-020-18479-5

Bothe, O., Wagner, S. & Zorita, E. (2018) Inconsistencies between observed, reconstructed, and simulated precipitation over the British Isles during the last 350 years. https://doi.org/10.5194/cp-2018-27 https://doi.org/10.5194/cp-2018-27

Bothe, O., Wagner, S. & Zorita, E. (2019) Inconsistencies between observed, reconstructed, and simulated precipitation indices for England since the year 1650 CE. Climate of the Past 15, 307–334. https://doi.org/10.5194/cp-15-307-2019 https://doi.org/10.5194/cp-15-307-2019

Burrell, A.L., Evans, J.P. & De Kauwe, M.G. (2020) Anthropogenic climate change has driven over 5 million km2 of drylands towards desertification. Nature Communications 11. https://doi.org/10.1038/s41467-020-17710-7 https://doi.org/10.1038/s41467-020-17710-7

Careto, J.A.M., Cardoso, R.M., Soares, P.M.M. & Trigo, R.M. (2018) Land‐Atmosphere Coupling in CORDEX‐Africa: Hindcast Regional Climate Simulations. Journal of Geophysical Research: Atmospheres 123. https://doi.org/10.1029/2018jd028378 https://doi.org/10.1029/2018jd028378

Centella-Artola, A., Bezanilla-Morlot, A., Taylor, M.A., et al. (2020) Evaluation of Sixteen Gridded Precipitation Datasets over the Caribbean Region Using Gauge Observations. Atmosphere 11, 1334. https://doi.org/10.3390/atmos11121334 https://doi.org/10.3390/atmos11121334

Chami, D. & Galli, F. (2020) An Assessment of Seaweed Extracts: Innovation for Sustainable Agriculture. Agronomy 10, 1433. https://doi.org/10.3390/agronomy10091433 https://doi.org/10.3390/agronomy10091433

Chen, C., Park, T., Wang, X., et al. (2019) China and India lead in greening of the world through land-use management. Nature Sustainability 2, 122–129. https://doi.org/10.1038/s41893-019-0220-7 https://doi.org/10.1038/s41893-019-0220-7

Chinta, V., Chen, Z., Du, Y. & Chowdary, J.S. (2021) Influence of the Interdecadal Pacific Oscillation on South Asian and East Asian summer monsoon rainfall in CMIP6 models. Climate Dynamics 58, 1791–1809. https://doi.org/10.1007/s00382-021-05992-6 https://doi.org/10.1007/s00382-021-05992-6

Craven, D., Eisenhauer, N., Pearse, W.D., et al. (2018) Multiple facets of biodiversity drive the diversity–stability relationship. Nature Ecology & Evolution 2, 1579–1587. https://doi.org/10.1038/s41559-018-0647-7 https://doi.org/10.1038/s41559-018-0647-7

Dar, M.A., Ahmed, R., Latif, M. & Azam, M. (2021) Climatology of dust storm frequency and its association with temperature and precipitation patterns over Pakistan. Natural Hazards 110, 655–677. https://doi.org/10.1007/s11069-021-04962-9 https://doi.org/10.1007/s11069-021-04962-9

Dellar, M., Topp, C., Pardo, G., del Prado, A., Fitton, N., Holmes, D., Banos, G. & Wall, E. (2019) Empirical and dynamic approaches for modelling the yield and N content of European grasslands. Environmental Modelling & Software 122, 104562. https://doi.org/10.1016/j.envsoft.2019.104562 https://doi.org/10.1016/j.envsoft.2019.104562

EL CHAMI, D. & Galli, F. (2020) A Preliminary Assessment of Growth Regulators in Agricultural: Innovation for Sustainable Vegetable Nutrition. https://doi.org/10.20944/preprints202007.0317.v1 https://doi.org/10.20944/preprints202007.0317.v1

error occurred https://doi.org/10.30892/gss.1301-062

error occurred https://doi.org/10.1134/s1067413621050118

error occurred https://doi.org/10.1007/s10640-021-00541-5

error occurred https://doi.org/10.5194/gmd-2020-196

error occurred https://doi.org/10.3390/f11020132

error occurred https://doi.org/10.5194/gmd-13-5779-2020

error occurred https://doi.org/10.1029/2018jd029473

error occurred https://doi.org/10.1007/s00704-022-04302-2

error occurred https://doi.org/10.1038/s41586-024-07264-9

error occurred https://doi.org/10.5194/gmd-12-5229-2019

error occurred https://doi.org/10.1007/s00382-019-04837-7

error occurred https://doi.org/10.1007/s11069-022-05269-z

error occurred https://doi.org/10.5194/gmd-2020-193

error occurred https://doi.org/10.5194/gmd-12-5077-2019

error occurred https://doi.org/10.1016/j.jclepro.2022.130811

error occurred https://doi.org/10.1007/s10021-018-0300-y

error occurred https://doi.org/10.1073/pnas.2013311117

error occurred https://doi.org/10.1007/s11356-020-07937-8

error occurred https://doi.org/10.1111/1365-2435.14270

error occurred https://doi.org/10.1007/s00382-020-05276-5

error occurred https://doi.org/10.5194/hess-25-957-2021

error occurred https://doi.org/10.36677/qret.v23i1.14264

error occurred https://doi.org/10.1038/s41598-020-73383-8

error occurred https://doi.org/10.1007/s12571-022-01289-6

Ge, J., Pitman, A.J., Guo, W., Wang, S. & Fu, C. (2019) Do Uncertainties in the Reconstruction of Land Cover Affect the Simulation of Air Temperature and Rainfall in the CORDEX Region of East Asia? Journal of Geophysical Research: Atmospheres 124, 3647–3670. https://doi.org/10.1029/2018jd029945 https://doi.org/10.1029/2018jd029945

Glotfelty, T., Ramírez-Mejía, D., Bowden, J., Ghilardi, A. & West, J.J. (2021) Limitations of WRF land surface models for simulating land use and land cover change in Sub-Saharan Africa and development of an improved model (CLM-AF v. 1.0). Geoscientific Model Development 14, 3215–3249. https://doi.org/10.5194/gmd-14-3215-2021 https://doi.org/10.5194/gmd-14-3215-2021

Gozzo, L.F., Palma, D.S., Custodio, M.S. & Machado, J.P. (2019) Climatology and Trend of Severe Drought Events in the State of Sao Paulo, Brazil, during the 20th Century. Atmosphere 10, 190. https://doi.org/10.3390/atmos10040190 https://doi.org/10.3390/atmos10040190

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 https://doi.org/10.1038/s41598-018-29286-w

Guo, S., Ge, X., Zou, Y., Zhou, Y., Wang, T. & Zong, S. (2019) Projecting the Potential Global Distribution of Carpomya vesuviana (Diptera: Tephritidae), Considering Climate Change and Irrigation Patterns. Forests 10, 355. https://doi.org/10.3390/f10040355 https://doi.org/10.3390/f10040355

Guo, S., Ge, X., Zou, Y., Zhou, Y., Wang, T. & Zong, S. (2021) Projecting the Global Potential Distribution of Cydia pomonella (Lepidoptera: Tortricidae) Under Historical and RCP4.5 Climate Scenarios. ed. by S. Kumar. Journal of Insect Science 21. https://doi.org/10.1093/jisesa/ieab024 https://doi.org/10.1093/jisesa/ieab024

Guo, Z., Lou, W., Sun, C. & He, B. (2022) Trend Changes of the Vegetation Activity in Northeastern East Asia and the Connections with Extreme Climate Indices. Remote Sensing 14, 3151. https://doi.org/10.3390/rs14133151 https://doi.org/10.3390/rs14133151

Haughton, N., Abramowitz, G., De Kauwe, M.G. & Pitman, A.J. (2018) Does predictability of fluxes vary between FLUXNET sites? Biogeosciences 15, 4495–4513. https://doi.org/10.5194/bg-15-4495-2018 https://doi.org/10.5194/bg-15-4495-2018

Haughton, N., Abramowitz, G., De Kauwe, M.G. & Pitman, A.J. (2018) Does predictability of fluxes vary between FLUXNET sites? https://doi.org/10.5194/bg-2018-179 https://doi.org/10.5194/bg-2018-179

Hellwig, N., Walz, A. & Markovic, D. (2019) Climatic and socioeconomic effects on land cover changes across Europe: Does protected area designation matter? ed. by S. Joseph. PLOS ONE 14, e0219374. https://doi.org/10.1371/journal.pone.0219374 https://doi.org/10.1371/journal.pone.0219374

Hellwig, N., Walz, A. & Markovic, D. (2019) Climatic and socioeconomic effects on land cover changes across Europe. Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe, 764. https://doi.org/10.25932/PUBLISHUP-43788 https://doi.org/10.25932/publishup-43788

Hong, T., Dong, W., Ji, D., Dai, T., Yang, S. & Wei, T. (2018) The response of vegetation to rising CO2 concentrations plays an important role in future changes in the hydrological cycle. Theoretical and Applied Climatology 136, 135–144. https://doi.org/10.1007/s00704-018-2476-7 https://doi.org/10.1007/s00704-018-2476-7

Hulsman, P. (2021) Satellite data in rainfall-runoff models: Exploring new opportunities for semi-arid, data-scarce river basins. Delft University of Technology. https://doi.org/10.4233/UUID:BB898FF7-2982-4A8A-BEE5-4A1F02D526E6 https://doi.org/10.4233/uuid:bb898ff7-2982-4a8a-bee5-4a1f02d526e6

Hulsman, P., Savenije, H.H.G. & Hrachowitz, M. (2020) Learning from satellite observations: increased understanding of catchment processes through stepwise model improvement. https://doi.org/10.5194/hess-2020-191 https://doi.org/10.5194/hess-2020-191

Hulsman, P., Winsemius, H.C., Michailovsky, C.I., Savenije, H.H.G. & Hrachowitz, M. (2020) Using altimetry observations combined with GRACE to select parameter sets of a hydrological model in a data-scarce region. Hydrology and Earth System Sciences 24, 3331–3359. https://doi.org/10.5194/hess-24-3331-2020 https://doi.org/10.5194/hess-24-3331-2020

Ibanga, O.A., Idehen, O.F. & Omonigho, M.G. (2022) Spatiotemporal variability of soil moisture under different soil groups in Etsako West Local Government Area, Edo State, Nigeria. Journal of the Saudi Society of Agricultural Sciences 21, 125–147. https://doi.org/10.1016/j.jssas.2021.07.006 https://doi.org/10.1016/j.jssas.2021.07.006

Ise, T. & Oba, Y. (2019) VARENN: Graphical representation of spatiotemporal data and application to climate studies. https://doi.org/10.48550/ARXIV.1907.09725 https://doi.org/10.48550/arxiv.1907.09725

Ise, T. & Oba, Y. (2020) VARENN: graphical representation of periodic data and application to climate studies. npj Climate and Atmospheric Science 3. https://doi.org/10.1038/s41612-020-0129-x https://doi.org/10.1038/s41612-020-0129-x

Karger, D.N., Schmatz, D.R., Dettling, G. & Zimmermann, N.E. (2020) High-resolution monthly precipitation and temperature time series from 2006 to 2100. Scientific Data 7. https://doi.org/10.1038/s41597-020-00587-y https://doi.org/10.1038/s41597-020-00587-y

Kharuk, V.I., Im, S.T. & Petrov, I.A. (2021) Conifer Growth During Warming Hiatus in the Altay-Sayan Mountain Region, Siberia. Mountain Landscapes in Transition, 385–401. https://doi.org/10.1007/978-3-030-70238-0\_15 https://doi.org/10.1007/978-3-030-70238-0_15

Kharuk, V.I., Im, S.T., Petrov, I.A., Shushpanov, A.S. & Dvinskaya, M.L. (2021) Climate-Induced Fir (Abies sibirica Ledeb.) Mortality in the Siberian Mountains. Mountain Landscapes in Transition, 403–416. https://doi.org/10.1007/978-3-030-70238-0\_16 https://doi.org/10.1007/978-3-030-70238-0_16

Kokorev, V. Precipitation regime changes in the maritime continent. https://doi.org/10.3990/1.9789036553292 https://doi.org/10.3990/1.9789036553292

Kumar, A., Sanyal, P. & Agrawal, S. (2019) Spatial distribution of δ18O values of water in the Ganga river basin: Insight into the hydrological processes. Journal of Hydrology 571, 225–234. https://doi.org/10.1016/j.jhydrol.2019.01.044 https://doi.org/10.1016/j.jhydrol.2019.01.044

Lausier, A.M. & Jain, S. (2018) Overlooked Trends in Observed Global Annual Precipitation Reveal Underestimated Risks. Scientific Reports 8. https://doi.org/10.1038/s41598-018-34993-5 https://doi.org/10.1038/s41598-018-34993-5

Li, J., Xie, T., Tang, X., Wang, H., Sun, C., Feng, J., Zheng, F. & Ding, R. (2021) Influence of the NAO on Wintertime Surface Air Temperature over East Asia: Multidecadal Variability and Decadal Prediction. Advances in Atmospheric Sciences 39, 625–642. https://doi.org/10.1007/s00376-021-1075-1 https://doi.org/10.1007/s00376-021-1075-1

Li, J., Xie, T., Tang, X., Wang, H., Sun, C., Feng, J., Zheng, F. & Ding, R. (2022) Influence of the NAO on wintertime surface air temperature over the East Asia: multidecadal variability and decadal prediction. https://doi.org/10.5194/egusphere-egu22-2120 https://doi.org/10.5194/egusphere-egu22-2120

Li, T., Li, J., Au, T.F. & Zhang, D.D. (2020) Moisture Variability in the East Pearl River Basin since 1894 CE Inferred from Tree Ring Records. Atmosphere 11, 1075. https://doi.org/10.3390/atmos11101075 https://doi.org/10.3390/atmos11101075

Liu, K., Li, X., Wang, S. & Zhou, G. (2023) Past and future adverse response of terrestrial water storages to increased vegetation growth in drylands. npj Climate and Atmospheric Science 6. https://doi.org/10.1038/s41612-023-00437-9 https://doi.org/10.1038/s41612-023-00437-9

Lyu, H., Dong, Z., Roobavannan, M., Kandasamy, J. & Pande, S. (2019) Rural unemployment pushes migrants to urban areas in Jiangsu Province, China. Palgrave Communications 5. https://doi.org/10.1057/s41599-019-0302-1 https://doi.org/10.1057/s41599-019-0302-1

Lyu, H., Dong, Z., Roobavannan, M., Kandasamy, J. & Pande, S. (2020) Prospects of interventions to alleviate rural–urban migration in Jiangsu Province, China based on sensitivity and scenario analysis. Hydrological Sciences Journal 65, 2175–2184. https://doi.org/10.1080/02626667.2020.1802030 https://doi.org/10.1080/02626667.2020.1802030

Makula, E.K. & Zhou, B. (2021) Changes in March to May rainfall over Tanzania during 1978–2017. International Journal of Climatology 41, 5663–5675. https://doi.org/10.1002/joc.7146 https://doi.org/10.1002/joc.7146

not a doi https://doi.org/1887/81918

not a doi https://doi.org/32737311

Okunlola, O.A., Oyeyemi, O.T. & Lukman, A.F. (2021) Modeling the relationship between malaria prevalence and insecticide-treated bed net coverage in Nigeria using a Bayesian spatial generalized linear mixed model with a Leroux prior. Epidemiology and Health 43, e2021041. https://doi.org/10.4178/epih.e2021041 https://doi.org/10.4178/epih.e2021041

Parker, S.E., Harrison, S.P., Comas-Bru, L., Kaushal, N., LeGrande, A.N. & Werner, M. (2020) A data-model approach to interpreting speleothem oxygen isotope records from monsoon regions on orbital timescales. https://doi.org/10.5194/cp-2020-78 https://doi.org/10.5194/cp-2020-78

Parker, S.E., Harrison, S.P., Comas-Bru, L., Kaushal, N., LeGrande, A.N. & Werner, M. (2021) A data–model approach to interpreting speleothem oxygen isotope records from monsoon regions. Climate of the Past 17, 1119–1138. https://doi.org/10.5194/cp-17-1119-2021 https://doi.org/10.5194/cp-17-1119-2021

Peng, Q., Wang, R., Jiang, Y., Li, C. & Guo, W. (2021) The change of hydrological variables and its effects on vegetation in Central Asia. Theoretical and Applied Climatology 146, 741–753. https://doi.org/10.1007/s00704-021-03730-w https://doi.org/10.1007/s00704-021-03730-w

Pothapakula, P.K., Primo, C. & Ahrens, B. (2019) Quantification of Information Exchange in Idealized and Climate System Applications. Entropy 21, 1094. https://doi.org/10.3390/e21111094 https://doi.org/10.3390/e21111094

Preechamart, S., Pumijumnong, N., Payomrat, P. & Buajan, S. (2018) Variation in Climate Signals in Teak Tree-Ring Chronologies in Two Different Growth Areas. Forests 9, 772. https://doi.org/10.3390/f9120772 https://doi.org/10.3390/f9120772

Primo, C., Kelemen, F.D., Feldmann, H. & Ahrens, B. (2019) A regional atmosphere-ocean climate system model (CCLMv5.0clm7-NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance. https://doi.org/10.5194/gmd-2019-73 https://doi.org/10.5194/gmd-2019-73

Rabaey, K., Vandekerckhove, T., de Walle, A.V. & Sedlak, D.L. (2020) The third route: Using extreme decentralization to create resilient urban water systems. Water Research 185, 116276. https://doi.org/10.1016/j.watres.2020.116276 https://doi.org/10.1016/j.watres.2020.116276

Reinberger, K.L., Reitsema, L.J., Kyle, B., Vassallo, S., Kamenov, G. & Krigbaum, J. (2021) Isotopic evidence for geographic heterogeneity in Ancient Greek military forces. ed. by M. Novak. PLOS ONE 16, e0248803. https://doi.org/10.1371/journal.pone.0248803 https://doi.org/10.1371/journal.pone.0248803

Rezsöhazy, J., Goosse, H., Guiot, J., Gennaretti, F., Boucher, E., André, F. & Jonard, M. (2020) Application and evaluation of the dendroclimatic process-based model MAIDEN during the last century in Canada and Europe. Climate of the Past 16, 1043–1059. https://doi.org/10.5194/cp-16-1043-2020 https://doi.org/10.5194/cp-16-1043-2020

Russo, E., Kirchner, I., Pfahl, S., Schaap, M. & Cubasch, U. (2019) Sensitivity studies with the regional climate model COSMO-CLM 5.0 over the CORDEX Central Asia Domain. Freie Universität Berlin. https://doi.org/10.17169/REFUBIUM-26076 https://doi.org/10.17169/refubium-26076

Serra-Maluquer, X., Gazol, A., Sangüesa-Barreda, G., Sánchez-Salguero, R., Rozas, V., Colangelo, M., Gutiérrez, E. & Camarero, J.J. (2019) Geographically Structured Growth decline of Rear-Edge Iberian Fagus sylvatica Forests After the 1980s Shift Toward a Warmer Climate. Ecosystems 22, 1325–1337. https://doi.org/10.1007/s10021-019-00339-z https://doi.org/10.1007/s10021-019-00339-z

Shepherd, A., Littleton, E., Clifton‐Brown, J., Martin, M. & Hastings, A. (2020) Projections of global and UK bioenergy potential from Miscanthus × giganteus—Feedstock yield, carbon cycling and electricity generation in the 21st century. GCB Bioenergy 12, 287–305. https://doi.org/10.1111/gcbb.12671 https://doi.org/10.1111/gcbb.12671

Sinha, E., Michalak, A.M., Balaji, V. & Resplandy, L. (2022) India’s Riverine Nitrogen Runoff Strongly Impacted by Monsoon Variability. Environmental Science & Technology 56, 11335–11342. https://doi.org/10.1021/acs.est.2c01274 https://doi.org/10.1021/acs.est.2c01274

Sun, G. & Mu, M. (2021) Impacts of two types of errors on the predictability of terrestrial carbon cycle. Ecosphere 12. https://doi.org/10.1002/ecs2.3315 https://doi.org/10.1002/ecs2.3315

Tian, P., Liu, Y., Lyu, W. & Wang, H. (2024) Exploring influential factors on biomass and diversity of ancient trees in human-dominated regions: A case study in Guangdong Province, China. Journal of Cleaner Production 480, 143965. https://doi.org/10.1016/j.jclepro.2024.143965 https://doi.org/10.1016/j.jclepro.2024.143965

Tian, Y., Gao, Y. & Guo, D. (2021) The Relationship between Melt Season Sea Ice over the Bering Sea and Summer Precipitation over Mid-Latitude East Asia. Advances in Atmospheric Sciences 38, 918–930. https://doi.org/10.1007/s00376-021-0348-z https://doi.org/10.1007/s00376-021-0348-z

University Of East Anglia Climatic Research Unit (CRU), Harris, I.C. & Jones, P.D. (2017) CRU CY4.01: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.01 (Jan. 1901 - Dec. 2016). https://doi.org/10.5285/D4E823F0172947C5AE6E6B265656C273 https://doi.org/10.5285/d4e823f0172947c5ae6e6b265656c273

Van Malderen, R., Pottiaux, E., Stankunavicius, G., Beirle, S., Wagner, T., Brenot, H. & Bruyninx, C. (2018) Interpreting the time variability of world-wide GPS and GOME/SCIAMACHY integrated water vapour retrievals, using reanalyses as auxiliary tools. https://doi.org/10.5194/acp-2018-1170 https://doi.org/10.5194/acp-2018-1170

Van Malderen, R., Pottiaux, E., Stankunavicius, G., Beirle, S., Wagner, T., Brenot, H., Bruyninx, C. & Jones, J. (2022) Global Spatiotemporal Variability of Integrated Water Vapor Derived from GPS, GOME/SCIAMACHY and ERA-Interim: Annual Cycle, Frequency Distribution and Linear Trends. Remote Sensing 14, 1050. https://doi.org/10.3390/rs14041050 https://doi.org/10.3390/rs14041050

Weitzel, N., Hense, A. & Ohlwein, C. (2018) Combining a pollen synthesis and climate simulations for spatial reconstructions of European climate using Bayesian modelling. https://doi.org/10.5194/cp-2018-87 https://doi.org/10.5194/cp-2018-87

Weitzel, N., Hense, A. & Ohlwein, C. (2019) Combining a pollen and macrofossil synthesis with climate simulations for spatial reconstructions of European climate using Bayesian filtering. Climate of the Past 15, 1275–1301. https://doi.org/10.5194/cp-15-1275-2019 https://doi.org/10.5194/cp-15-1275-2019

Wu, T., Yu, R., Lu, Y., et al. (2020) BCC-CSM2-HR: A High-Resolution Version of the Beijing Climate Center Climate System Model. https://doi.org/10.5194/gmd-2020-284 https://doi.org/10.5194/gmd-2020-284

Wu, T., Yu, R., Lu, Y., et al. (2021) BCC-CSM2-HR: a high-resolution version of the Beijing Climate Center Climate System Model. Geoscientific Model Development 14, 2977–3006. https://doi.org/10.5194/gmd-14-2977-2021 https://doi.org/10.5194/gmd-14-2977-2021

Xu, K., Wang, X., Jiang, C. & Sun, O.J. (2020) Additional file 1 of Assessing the vulnerability of ecosystems to climate change based on climate exposure, vegetation stability and productivity. figshare. https://doi.org/10.6084/M9.FIGSHARE.12153837.V1 https://doi.org/10.6084/m9.figshare.12153837.v1

Xu, K., Wang, X., Jiang, C. & Sun, O.J. (2020) Assessing the vulnerability of ecosystems to climate change based on climate exposure, vegetation stability and productivity. Forest Ecosystems 7. https://doi.org/10.1186/s40663-020-00239-y https://doi.org/10.1186/s40663-020-00239-y

Yang, R., Gui, S. & Cao, J. (2019) Bay of Bengal‐East Asia‐Pacific Teleconnection in Boreal Summer. Journal of Geophysical Research: Atmospheres 124, 4395–4412. https://doi.org/10.1029/2019jd030332 https://doi.org/10.1029/2019jd030332

Zemp, M. & Marzeion, B. (2021) Dwindling Relevance of Large Volcanic Eruptions for Global Glacier Changes in the Anthropocene. Geophysical Research Letters 48. https://doi.org/10.1029/2021gl092964 https://doi.org/10.1029/2021gl092964

Zermeño‐Díaz, D.M. (2022) Diagnostics of observed dry trends in Caribbean precipitation. International Journal of Climatology 42, 6927–6943. https://doi.org/10.1002/joc.7621 https://doi.org/10.1002/joc.7621

Zhang, Z., Song, C., Guo, Y., He, P., Chen, N., Liu, J., Zhang, Y., Zuo, Y. & Zhang, X. (2023) Effects of climate change and agricultural expansion on groundwater storage in the Amur River Basin. Frontiers in Earth Science 10. https://doi.org/10.3389/feart.2022.1037688 https://doi.org/10.3389/feart.2022.1037688