CRUNCEP Version 7 - Atmospheric Forcing Data for the Community Land Model
d314003
| DOI: 10.5065/PZ8F-F017
Citation Statistics for this Dataset:
This dataset has been cited 70 times. See a list of published works that have cited this dataset Published works that have cited this dataset:
2024
Chen, S., Y. H. Fu, M. Li, Z. Jia, Y. Cui, and J. Tang, 2024: A new temperature-photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes. Geoscientific Model Development, 17(7), 2509-2523, https://doi.org/10.5194/gmd-17-2509-2024
Dombrowski, O., C. Brogi, H. -. Hendricks Franssen, V. Pisinaras, A. Panagopoulos, S. Swenson, and H. Bogena, 2024: Land Surface Modeling as a Tool to Explore Sustainable Irrigation Practices in Mediterranean Fruit Orchards. Water Resources Research, 60(7), https://doi.org/10.1029/2023WR036139
He, L., J. L. Rodrigues, M. A. Mayes, C. Lai, D. A. Lipson, and X. Xu, 2024: Modeling microbial carbon fluxes and stocks in global soils from 1901 to 2016. Biogeosciences, 21(9), 2313-2333, https://doi.org/10.5194/bg-21-2313-2024
Li, H., Z. Zhang, and Z. Zhang, 2024: Improvement and Evaluation of CLM5 Application in the Songhua River Basin Based on CaMa-Flood. Water, 16(3), https://doi.org/10.3390/w16030442
Liu, S., K. Hu, Z. Xie, and Y. Wang, 2024: Seasonal constraint of dynamic water temperature on riverine dissolved inorganic nitrogen transport in land surface modeling. Atmospheric and Oceanic Science Letters, 17(4), https://doi.org/10.1016/j.aosl.2024.100485
Ma, X., and A. Wang, 2024: Evaluation and Uncertainty Analysis of the Land Surface Hydrology in LS3MIP Models Over China. Earth and Space Science, 11(7), https://doi.org/10.1029/2023EA003391
Shi, X., Y. Wang, J. Mao, P. E. Thornton, D. M. Riccuito, F. M. Hoffman, and Y. Hao, 2024: Quantifying the long-term changes of terrestrial water storage and their driving factors. Journal of Hydrology, 635, https://doi.org/10.1016/j.jhydrol.2024.131096
Thurner, M. A., S. Caldararu, J. Engel, A. Rammig, and S. Zaehle, 2024: Modelled forest ecosystem carbon-nitrogen dynamics with integrated mycorrhizal processes under elevated CO2. Biogeosciences, 21(6), 1391-1410, https://doi.org/10.5194/bg-21-1391-2024
Zhang, J., H. Tian, X. Li, X. Qin, S. Fang, J. Zhang, W. Zhang, S. Wang, and S. Pan, 2024: A Warmer and Wetter World Would Aggravate GHG Emissions Intensity in China's Cropland. Earth's Future, 12(2), https://doi.org/10.1029/2023EF003614
2023
Bao, S., L. Alonso, S. Wang, J. Gensheimer, R. De, and N. Carvalhais, 2023: Toward Robust Parameterizations in Ecosystem-Level Photosynthesis Models. Journal of Advances in Modeling Earth Systems, 15(8), https://doi.org/10.1029/2022MS003464
Bergkvist, J., F. Lagergren, M. F. Linderson, P. Miller, M. Lindeskog, and A. M. Jonsson, 2023: Modelling managed forest ecosystems in Sweden: An evaluation from the stand to the regional scale. Ecological Modelling, 477, https://doi.org/10.1016/j.ecolmodel.2022.110253
Ma, X., L. Tian, Y. Jiang, J. Liang, J. Tian, J. Zhou, C. Shao, and K. Yang, 2023: Large Uncertainties in Precipitation Exert Considerable Impact on Land Surface Temperature Modeling Over the Tibetan Plateau. Journal of Geophysical Research: Atmospheres, 128(9), https://doi.org/10.1029/2022JD037615
Nicolì, D., A. Bellucci, P. Ruggieri, P. J. Athanasiadis, S. Materia, D. Peano, G. Fedele, R. Hénin, and S. Gualdi, 2023: The Euro-Mediterranean Center on Climate Change (CMCC) decadal prediction system. Geoscientific Model Development, 16(1), 179-197, https://doi.org/10.5194/gmd-16-179-2023
Reddy, K. N., S. Gahlot, S. Baidya Roy, G. V. Varma, V. K. Sehgal, and G. Vangala, 2023: Carbon fluxes in spring wheat agroecosystem in India. Earth System Dynamics, 14(5), 915-930, https://doi.org/10.5194/esd-14-915-2023
Sierra, C. A., G. R. Quetin, H. Metzler, and M. Müller, 2023: A decrease in the age of respired carbon from the terrestrial biosphere and increase in the asymmetry of its distribution. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 381(2261), https://doi.org/10.1098/rsta.2022.0200
Trautmann, T., S. Koirala, A. Guentner, H. Kim, and M. Jung, 2023: Calibrating global hydrological models with GRACE TWS: does river storage matter?. Environmental Research Communications, 5(8), https://doi.org/10.1088/2515-7620/acece5
Wang, J., W. Fang, P. Xu, H. Li, D. Chen, Z. Wang, Y. You, and C. Rafaniello, 2023: Satellite Evidence for Divergent Forest Responses within Close Vicinity to Climate Fluctuations in a Complex Terrain. Remote Sensing, 15(11), https://doi.org/10.3390/rs15112749
Wu, Q., X. Wang, S. Chen, L. Wang, and J. Jiang, 2023: Land Surface Greening and CO2 Fertilization More than Offset the Gross Carbon Sequestration Decline Caused by Land Cover Change and the Enhanced Vapour Pressure Deficit in Europe. Remote Sensing, 15(5), https://doi.org/10.3390/rs15051372
Xing, X., M. Wu, M. Scholze, T. Kaminski, M. Vossbeck, Z. Lu, S. Wang, W. He, W. Ju, and F. Jiang, 2023: Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale. Remote Sensing, 15(3), 676, https://doi.org/10.3390/rs15030676
You, Y., Z. Xie, B. Jia, Y. Wang, L. Wang, R. Li, H. Yan, Y. Tian, and S. Chen, 2023: Impacts of anthropogenic water regulation on global riverine dissolvedorganic carbon transport. Earth System Dynamics, 14(5), 897-914, https://doi.org/10.5194/esd-14-897-2023
Yu, L., S. Caldararu, B. Ahrens, T. Wutzler, M. Schrumpf, J. Helfenstein, C. Pistocchi, and S. Zaehle, 2023: Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems. Biogeosciences, 20(1), 57-73, https://doi.org/10.5194/bg-20-57-2023
Zhao, J., J. Wang, J. Huang, L. Zhang, and J. Tang, 2023: Spring Temperature Accumulation Is a Primary Driver of Forest Disease and Pest Occurrence in China in the Context of Climate Change. Forests, 14(9), https://doi.org/10.3390/f14091730
Zhu, J., and X. Zeng, 2023: Trend in seasonal amplitude of northern net ecosystem production: Simulated results from IAP DGVM in CAS-ESM2. Atmospheric and Oceanic Science Letters, 17(2), 100445, https://doi.org/10.1016/j.aosl.2023.100445
2022
Ali, A. A., Y. Fan, M. D. Corre, M. M. Kotowska, E. Preuss-Hassler, A. N. Cahyo, F. E. Moyano, C. Stiegler, A. Röll, A. Meijide, A. Olchev, A. Ringeler, C. Leuschner, R. Ariani, T. June, S. Tarigan, H. Kreft, D. Hölscher, C. Xu, C. D. Koven, K. Dagon, R. A. Fisher, E. Veldkamp, and A. Knohl, 2022: Implementing a New Rubber Plant Functional Type in the Community Land Model (CLM5) Improves Accuracy of Carbon and Water Flux Estimation. Land, 11(2), 183, https://doi.org/10.3390/land11020183
Bernus, A., and C. Ottlé, 2022: Modeling subgrid lake energy balance in ORCHIDEE terrestrial scheme using the FLake lake model. Geoscientific Model Development, 15(10), 4275-4295, https://doi.org/10.5194/gmd-15-4275-2022
Bian, Z., S. Pan, Z. Wang, Y. Yao, R. Xu, H. Shi, L. Kalin, C. Anderson, D. Justic, S. Lohrenz, and H. Tian, 2022: A Century-Long Trajectory of Phosphorus Loading and Export From Mississippi River Basin to the Gulf of Mexico: Contributions of Multiple Environmental Changes. Global Biogeochemical Cycles, 36(6), https://doi.org/10.1029/2022gb007347
Bowring, S. P., M. W. Jones, P. Ciais, B. Guenet, and S. Abiven, 2022: Pyrogenic carbon decomposition critical to resolving fire's role in the Earth system. Nature Geoscience, 15(2), 135-142, https://doi.org/10.1038/s41561-021-00892-0
Dombrowski, O., C. Brogi, H. Hendricks Franssen, D. Zanotelli, and H. Bogena, 2022: CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5). Geoscientific Model Development, 15(13), 5167-5193, https://doi.org/10.5194/gmd-15-5167-2022
Liu, L., F. Gong, X. Chen, Y. Su, L. Fan, S. Wu, X. Yang, J. Zhang, W. Yuan, P. Ciais, and C. Zhou, 2022: Bidirectional drought-related canopy dynamics across pantropical forests: a satellite-based statistical analysis. Remote Sensing in Ecology and Conservation, 8(1), 72-91, https://doi.org/10.1002/rse2.229
Liu, Y., S. Wang, J. Chen, B. Chen, X. Wang, D. Hao, and L. Sun, 2022: Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method. Remote Sensing, 14(19), 5045, https://doi.org/10.3390/rs14195045
Mäki, M., K. Ryhti, I. Fer, B. Ťupek, P. Vestin, M. Roland, I. Lehner, E. Köster, A. Lehtonen, J. Bäck, J. Heinonsalo, J. Pumpanen, and L. Kulmala, 2022: Heterotrophic and rhizospheric respiration in coniferous forest soils along a latitudinal gradient. Agricultural and Forest Meteorology, 317, 108876, https://doi.org/10.1016/j.agrformet.2022.108876
MacBean, N., C. Bacour, N. Raoult, V. Bastrikov, E. N. Koffi, S. Kuppel, F. Maignan, C. Ottlé, M. Peaucelle, D. Santaren, and P. Peylin, 2022: Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model. Global Biogeochemical Cycles, 36(7), https://doi.org/10.1029/2021gb007177
Meunier, F., S. M. Krishna Moorthy, M. Peaucelle, K. Calders, L. Terryn, W. Verbruggen, C. Liu, N. Saarinen, N. Origo, J. Nightingale, M. Disney, Y. Malhi, and H. Verbeeck, 2022: Using terrestrial laser scanning to constrain forest ecosystem structure and functions in the Ecosystem Demography model (ED2.2). Geoscientific Model Development, 15(12), 4783-4803, https://doi.org/10.5194/gmd-15-4783-2022
Papastefanou, P., C. S. Zang, Z. Angelov, A. A. de Castro, J. C. Jimenez, L. F. De Rezende, R. C. Ruscica, B. Sakschewski, A. A. Sörensson, K. Thonicke, C. Vera, N. Viovy, C. Von Randow, and A. Rammig, 2022: Recent extreme drought events in the Amazon rainforest: assessment of different precipitation and evapotranspiration datasets and drought indicators. Biogeosciences, 19(16), 3843-3861, https://doi.org/10.5194/bg-19-3843-2022
Rau, E., F. Fischer, É. Joetzjer, I. Maréchaux, I. F. Sun, and J. Chave, 2022: Transferability of an individual- and trait-based forest dynamics model: A test case across the tropics. Ecological Modelling, 463, 109801, https://doi.org/10.1016/j.ecolmodel.2021.109801
Trautmann, T., S. Koirala, N. Carvalhais, A. Güntner, and M. Jung, 2022: The importance of vegetation in understanding terrestrial water storage variations. Hydrology and Earth System Sciences, 26(4), 1089-1109, https://doi.org/10.5194/hess-26-1089-2022
Wu, J., Z. Chang, Y. Su, C. Zhang, X. Wu, C. Bi, L. Liu, X. Yang, and X. Li, 2022: Identification of the Spring Green-Up Date Derived from Satellite-Based Vegetation Index over a Heterogeneous Ecoregion. Remote Sensing, 14(17), 4349, https://doi.org/10.3390/rs14174349
Yan, Z., J. Xu, X. Wang, Z. Yang, D. Liu, G. Li, and H. Huang, 2022: Continued spring phenological advance under global warming hiatus over the Pan-Third Pole. Frontiers in Plant Science, 13, https://doi.org/10.3389/fpls.2022.1071858
2021
Berzaghi, F., D. Zhu, J. Alroy, and P. Ciais, 2021: Trait-based mechanistic approach highlights global patterns and losses of herbivore biomass functional diversity. , Cold Spring Harbor Laboratory, https://doi.org/10.1101/2021.10.19.464976
Blanc-Betes, E., I. B. Kantola, N. Gomez-Casanovas, M. D. Hartman, W. J. Parton, A. L. Lewis, D. J. Beerling, and E. H. DeLucia, 2021: In silico assessment of the potential of basalt amendments to reduce N2O emissions from bioenergy crops. Global Change Biology Bioenergy, 13(1), 224-241, https://doi.org/10.1111/gcbb.12757
Chen, X., P. Ciais, F. Maignan, Y. Zhang, A. Bastos, L. Liu, C. Bacour, L. Fan, P. Gentine, D. Goll, J. Green, H. Kim, L. Li, Y. Liu, S. Peng, H. Tang, N. Viovy, J. Wigneron, J. Wu, W. Yuan, and H. Zhang, 2021: Vapor Pressure Deficit and Sunlight Explain Seasonality of Leaf Phenology and Photosynthesis Across Amazonian Evergreen Broadleaved Forest. Global Biogeochemical Cycles, 35(6), https://doi.org/10.1029/2020GB006893
Eckes-Shephard, A. H., E. Tiavlovsky, Y. Chen, P. Fonti, and A. D. Friend, 2021: Direct response of tree growth to soil water and its implications for terrestrial carbon cycle modelling. Global Change Biology, 27, 121-135, https://doi.org/10.1111/gcb.15397
Liu, L., X. Yang, F. Gong, Y. Su, G. Huang, and X. Chen, 2021: The Novel Microwave Temperature Vegetation Drought Index (MTVDI) Captures Canopy Seasonality across Amazonian Tropical Evergreen Forests. Remote Sensing, 13(3), 339, https://doi.org/10.3390/rs13030339
Liu, X., X. Yuan, and E. Zhu, 2021: Global warming induces significant changes in the fraction of stored precipitation in the surface soil. Global and Planetary Change, 205, https://doi.org/10.1016/j.gloplacha.2021.103616
Lu, Y., and X. Yang, 2021: Using the anomaly forcing Community Land Model (CLM 4.5) for crop yield projections. Geoscientific Model Development, 14, 1253-1265, https://doi.org/10.5194/gmd-14-1253-2021
Nandintsetseg, B., B. Boldgiv, J. Chang, P. Ciais, E. Davaanyam, A. Batbold, T. Bat-Oyun, and N. C. Stenseth, 2021: Risk and vulnerability of Mongolian grasslands under climate change. Environmental Research Letters, 16(3), https://doi.org/10.1088/1748-9326/abdb5b
Peano, D., D. Hemming, S. Materia, C. Delire, Y. Fan, E. Joetzjer, H. Lee, J. E. Nabel, T. Park, P. Peylin, D. Wårlind, A. Wiltshire, and S. Zaehle, 2021: Plant phenology evaluation of CRESCENDO land surface models - Part 1: Start and end of the growing season. Biogeosciences, 18(7), 2405-2428, https://doi.org/10.5194/bg-18-2405-2021
Pongracz, A., D. Wårlind, P. A. Miller, and F. W. Parmentier, 2021: Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS. Biogeosciences, 18(20), 5767-5787, https://doi.org/10.5194/bg-18-5767-2021
Verbruggen, W., G. Schurgers, S. Horion, J. Ardo, P. N. Bernardino, B. Cappelaere, J. Demarty, R. Fensholt, L. Kergoat, T. Sibret, T. Tagesson, and H. Verbeeck, 2021: Contrasting responses of woody and herbaceous vegetation to altered rainfall characteristics in the Sahel. Biogeosciences, 18(1), 77-93, https://doi.org/10.5194/bg-18-77-2021
Wiltshire, A. J., E. J. Burke, S. E. Chadburn, C. D. Jones, P. M. Cox, T. Davies-Barnard, P. Friedlingstein, A. B. Harper, S. Liddicoat, S. Sitch, and S. Zaehle, 2021: JULES-CN: a coupled terrestrial carbon-nitrogen scheme (JULES vn5.1). Geoscientific Model Development, 14(4), 2161-2186, https://doi.org/10.5194/gmd-14-2161-2021
Wu, J., Y. Su, X. Chen, L. Liu, X. Yang, F. Gong, H. Zhang, X. Xiong, and D. Zhang, 2021: Leaf shedding of Pan-Asian tropical evergreen forests depends on the synchrony of seasonal variations of rainfall and incoming solar radiation. Agricultural and Forest Meteorology, 311, 108691, https://doi.org/10.1016/j.agrformet.2021.108691
Xue, W., J. Zhang, D. Ji, Y. Che, T. Lu, X. Deng, X. Li, Y. Tian, and J. Wei, 2021: Aerosol-induced direct radiative forcing effects on terrestrial ecosystem carbon fluxes over China. Environmental Research, 200, https://doi.org/10.1016/j.envres.2021.111464
Zhu, D., E. D. Galbraith, V. Reyes-García, and P. Ciais, 2021: Global hunter-gatherer population densities constrained by influence of seasonality on diet composition. Nature Ecology & Evolution, 5(11), 1536-1545, https://doi.org/10.1038/s41559-021-01548-3
Zhu, E., and X. Yuan, 2021: Global Freshwater Storage Capability across Time Scales in the GRACE Satellite Era. Advances in Atmospheric Sciences, 38(6), 905-917, https://doi.org/10.1007/s00376-021-0222-z
2020
Burton, C., R. A. Betts, C. D. Jones, T. R. Feldpausch, M. Cardoso, and L. O. Anderson, 2020: El Niño Driven Changes in Global Fire 2015/16. Frontiers in Earth Science, 8, https://doi.org/10.3389/feart.2020.00199
Delire, C., R. Séférian, B. Decharme, R. Alkama, J. Calvet, D. Carrer, A. Gibelin, E. Joetzjer, X. Morel, M. Rocher, and D. Tzanos, 2020: The Global Land Carbon Cycle Simulated With ISBA-CTRIP: Improvements Over the Last Decade. Journal of Advances in Modeling Earth Systems, 12(9), https://doi.org/10.1029/2019ms001886
Liang, Y., M. Lo, C. Lan, H. Seo, C. C. Ummenhofer, S. Yeager, R. Wu, and J. D. Steffen, 2020: Amplified seasonal cycle in hydroclimate over the Amazon river basin and its plume region. Nature Communications, 11(1), https://doi.org/10.1038/s41467-020-18187-0
Pohl, E., C. Grenier, M. Vrac, and M. Kageyama, 2020: Emerging climate signals in the Lena River catchment: a non-parametric statistical approach. Hydrology and Earth System Sciences, 24(5), 2817-2839, https://doi.org/10.5194/hess-24-2817-2020
Vira, J., P. Hess, J. Melkonian, and W. R. Wieder, 2020: An improved mechanistic model for ammonia volatilization in Earth system models: Flow of Agricultural Nitrogen version 2 (FANv2). Geoscientific Model Development, 13, 4459-4490, https://doi.org/10.5194/gmd-13-4459-2020
Wang, S., Y. Zhang, W. Ju, J. M. Chen, P. Ciais, A. Cescatti, J. Sardans, I. A. Janssens, M. Wu, J. A. Berry, E. Campbell, M. Fernández-Martínez, R. Alkama, S. Sitch, P. Friedlingstein, W. K. Smith, W. Yuan, W. He, D. Lombardozzi, M. Kautz, D. Zhu, S. Lienert, E. Kato, B. Poulter, T. G. Sanders, I. Krüger, R. Wang, N. Zeng, H. Tian, N. Vuichard, A. K. Jain, A. Wiltshire, V. Haverd, D. S. Goll, and J. Peñuelas, 2020: Recent global decline of CO2 fertilization effects on vegetation photosynthesis. Science, 370(6522), 1295-1300, https://doi.org/10.1126/science.abb7772
Yu, L., B. Ahrens, T. Wutzler, S. Zaehle, and M. Schrumpf, 2020: Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient. Frontiers in Forests and Global Change, 3, https://doi.org/10.3389/ffgc.2020.543112
Zhu, E., X. Yuan, and P. Wu, 2020: Skillful Decadal Prediction of Droughts Over Large-Scale River Basins Across the Globe. Geophysical Research Letters, 47, https://doi.org/10.1029/2020GL089738
2019
Aas, K. S., L. Martin, J. Nitzbon, M. Langer, J. Boike, H. Lee, T. K. Berntsen, and S. Westermann, 2019: Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model. The Cryosphere, 13(2), 591-609, https://doi.org/10.5194/tc-13-591-2019
Claessen, J., A. Molini, B. Martens, M. Detto, M. Demuzere, and D. G. Miralles, 2019: Global biosphere-climate interaction: a causal appraisal of observations and models over multiple temporal scales. Biogeosciences, 16(24), 4851-4874, https://doi.org/10.5194/bg-16-4851-2019
Decharme, B., C. Delire, M. Minvielle, J. Colin, J. Vergnes, A. Alias, D. Saint-Martin, R. Seferian, S. Senesi, and A. Voldoire, 2019: Recent Changes in the ISBA-CTRIP Land Surface System for Use in the CNRM-CM6 Climate Model and in Global Off-Line Hydrological Applications. Journal of Advances in Modeling Earth Systems, 11(5), 1207-1252, https://doi.org/10.1029/2018MS001545
Ji, X., L. F. Lesack, J. M. Melack, S. Wang, W. J. Riley, and C. Shen, 2019: Seasonal and Interannual Patterns and Controls of Hydrological Fluxes in an Amazon Floodplain Lake With a Surface-Subsurface Process Model. Water Resources Research, 55(4), 3056-3075, https://doi.org/10.1029/2018wr023897
Peano, D., S. Materia, A. Collalti, A. Alessandri, A. Anav, A. Bombelli, and S. Gualdi, 2019: Global Variability of Simulated and Observed Vegetation Growing Season. Journal of Geophysical Research: Biogeosciences, 124(11), 3569-3587, https://doi.org/10.1029/2018jg004881
Todt, M., N. Rutter, C. G. Fletcher, and L. M. Wake, 2019: Simulated single-layer forest canopies delay Northern Hemisphere snowmelt. Cryosphere, 13(11), 3077-3091, https://doi.org/10.5194/tc-13-3077-2019
Zhang, Y., C. Song, L. E. Band, and G. Sun, 2019: No Proportional Increase of Terrestrial Gross Carbon Sequestration From the Greening Earth. Journal of Geophysical Research-biogeosciences, 124(8), 2540-2553, https://doi.org/10.1029/2018JG004917
Zhang, Y., M. P. Dannenberg, T. Hwang, and C. Song, 2019: El Nino-Southern Oscillation-Induced Variability of Terrestrial Gross Primary Production During the Satellite Era. Journal of Geophysical Research-biogeosciences, 124(8), 2419-2431, https://doi.org/10.1029/2019JG005117
