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Publications Citing Services

The following 37 publications cited the Services project.

YearCitationDataset or Project
2024Trew, B.T., D.P. Edwards, A.C. Lees, D.H. Klinges, R. Early, M. Svátek, R. Plichta, R. Matula, J. Okello, A. Niessner, M. Barthel, J. Six, E.E. Maeda, J. Barlow, R.O. do Nascimento, E. Berenguer, J. Ferreira, J. Sallo-Bravo, and I.M.D. Maclean. 2024. Novel temperatures are already widespread beneath the world’s tropical forest canopies. Nature Climate Change. 14(7):753-759. https://doi.org/10.1038/s41558-024-02031-0Spatial Data Access Tool (SDAT)
2024Yan, Y., S. Piao, W.M. Hammond, A. Chen, S. Hong, H. Xu, S.M. Munson, R.B. Myneni, and C.D. Allen. 2024. Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening. Nature Ecology & Evolution. https://doi.org/10.1038/s41559-024-02372-1Spatial Data Access Tool (SDAT)
2023Liu, C., X. Xu, X. Feng, X. Cheng, C. Liu, and H. Huang. 2023. CALC-2020: a new baseline land cover map at 10?m resolution for the circumpolar Arctic. Earth System Science Data. 15(1):133-153. https://doi.org/10.5194/essd-15-133-2023Spatial Data Access Tool (SDAT)
2022Edwards, W.M. 2022. Predicted impact of climate change on the distribution of the Critically Endangered golden mantella (Mantella aurantiaca) in Madagascar. Herpetological Journal. 5-13. https://doi.org/10.33256/32.1.513Spatial Data Access Tool (SDAT)
2022Gebru, G., G. Belay, A. Vallejo-Trujillo, T. Dessie, A. Gheyas, and O. Hanotte. 2022. Ecological niche modelling as a tool to identify candidate indigenous chicken ecotypes of Tigray (Ethiopia). Frontiers in Genetics. 13. https://doi.org/10.3389/fgene.2022.968961Spatial Data Access Tool (SDAT)
2022He, P., X. Ma, X. Meng, Z. Han, H. Liu, and Z. Sun. 2022. Spatiotemporal evolutionary and mechanism analysis of grassland GPP in China. Ecological Indicators. 143:109323. https://doi.org/10.1016/j.ecolind.2022.109323Spatial Data Access Tool (SDAT)
2022Wang, K. and P. Kumar. 2022. Virtual laboratory for understanding impact of heterogeneity on ecohydrologic processes across scales. Environmental Modelling & Software. 149:105283. https://doi.org/10.1016/j.envsoft.2021.105283Spatial Data Access Tool (SDAT)
2021Turini, N., B. Thies, N. Horna, and J. Bendix. 2021. Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data. European Journal of Remote Sensing. 54(1):117-139. https://doi.org/10.1080/22797254.2021.1884002Spatial Data Access Tool (SDAT)
2021Wang, Y., B. Fu, Y. Liu, Y. Li, X. Feng, and S. Wang. 2021. Response of vegetation to drought in the Tibetan Plateau: Elevation differentiation and the dominant factors. Agricultural and Forest Meteorology. 306:108468. https://doi.org/10.1016/j.agrformet.2021.108468Spatial Data Access Tool (SDAT)
2021Wei, Y., R. Shrestha, S. Pal, T. Gerken, S. Feng, J. McNelis, D. Singh, M.M. Thornton, A.G. Boyer, M.A. Shook, G. Chen, B.C. Baier, Z.R. Barkley, J.D. Barrick, J.R. Bennett, E.V. Browell, J.F. Campbell, L.J. Campbell, Y. Choi, J. Collins, J. Dobler, M. Eckl, A. Fiehn, A. Fried, J.P. Digangi, R. Barton-Grimley, H. Halliday, T. Klausner, S. Kooi, J. Kostinek, T. Lauvaux, B. Lin, M.J. McGill, B. Meadows, N.L. Miles, A.R. Nehrir, J.B. Nowak, M. Obland, C. O'Dell, R.M.P. Fao, S.J. Richardson, D. Richter, A. Roiger, C. Sweeney, J. Walega, P. Weibring, C.A. Williams, M.M. Yang, Y. Zhou, and K.J. Davis. 2021. Atmospheric Carbon and Transport - America (ACT-America) Data Sets: Description, Management, and Delivery. Earth and Space Science. 8(7):. https://doi.org/10.1029/2020EA001634ORNL DAAC Airborne Data Visualizer
2020Chen, J., K.J. Groenigen, B.A. Hungate, C. Terrer, J.W. Groenigen, F.T. Maestre, S.C. Ying, Y. Luo, U. Jorgensen, R.L. Sinsabaugh, J.E. Olesen, and L. Elsgaard. 2020. Long-term nitrogen loading alleviates phosphorus limitation in terrestrial ecosystems. Global Change Biology. 26(9):5077-5086. https://doi.org/10.1111/gcb.15218Spatial Data Access Tool (SDAT)
2020Nagahama, N. and M.F. Bonino. 2020. Modeling the potential distribution of Valeriana carnosa Sm. in Argentinean Patagonia: A proposal for conservation and in situ cultivation considering climate change projections. Journal of Applied Research on Medicinal and Aromatic Plants. 16:100240. https://doi.org/10.1016/j.jarmap.2020.100240Spatial Data Access Tool (SDAT)
2020Yousif, M. and H.M. Hussien. 2020. Flash floods mitigation and assessment of groundwater possibilities using remote sensing and GIS applications: Sharm El Sheikh, South Sinai, Egypt. Bulletin of the National Research Centre. 44(1):. https://doi.org/10.1186/s42269-020-00307-xSpatial Data Access Tool (SDAT)
2019Drewniak, B.A. 2019. Simulating Dynamic Roots in the Energy Exascale Earth System Land Model. Journal of Advances in Modeling Earth Systems. 11(1):338-359. https://doi.org/10.1029/2018MS001334Spatial Data Access Tool (SDAT)
2019Najafi, E., I. Pal, and R. Khanbilvardi. 2019. Climate drives variability and joint variability of global crop yields. Science of The Total Environment. 662:361-372. https://doi.org/10.1016/j.scitotenv.2019.01.172Spatial Data Access Tool (SDAT)
2018Mason, V.C., K.M. Helgen, and W.J. Murphy. 2018. Comparative Phylogeography of Forest-Dependent Mammals Reveals Paleo-Forest Corridors throughout Sundaland. Journal of Heredity. https://doi.org/10.1093/jhered/esy046Spatial Data Access Tool (SDAT)
2018Mohan, C., A.W. Western, Y. Wei, and M. Saft. 2018. Predicting groundwater recharge for varying land cover and climate conditions – a global meta-study. Hydrology and Earth System Sciences. 22(5):2689-2703. https://doi.org/10.5194/hess-22-2689-2018Spatial Data Access Tool (SDAT)
2018Snell, K.R.S., B.G. Stokke, A. Moksnes, K. Thorup, and F. Fossoy. 2018. From Svalbard to Siberia: Passerines breeding in the High Arctic also endure the extreme cold of the Western Steppe. PLOS ONE. 13(9):e0202114. https://doi.org/10.1371/journal.pone.0202114Spatial Data Access Tool (SDAT)
2018Spangler, K.R., K.R. Weinberger, and G.A. Wellenius. 2018. Suitability of gridded climate datasets for use in environmental epidemiology. Journal of Exposure Science & Environmental Epidemiology. https://doi.org/10.1038/s41370-018-0105-2Spatial Data Access Tool (SDAT)
2018Wilson, N.O.2018. Tuning bankfull flow to climate as a path to better estimates of source-to-sink mass flux. Texas Christian University, College of Science and Engineering. Spatial Data Access Tool (SDAT)
2018Yu, Z., C. Lu, P. Cao, H. Tian, A. Hessl, and N. Pederson. 2018. Earlier leaf-flushing suppressed ecosystem productivity by draining soil water in the Mongolian Plateau. Agricultural and Forest Meteorology. 250-251:1-8. https://doi.org/10.1016/j.agrformet.2017.11.035Spatial Data Access Tool (SDAT)
2017Cruz, F.T. and H. Sasaki. 2017. Simulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate Model. SOLA. 13:13-18. https://doi.org/10.2151/sola.2017-003Spatial Data Access Tool (SDAT)
2017Cruz, F.T., G.T. Narisma, J.B. Dado, P. Singhruck, F. Tangang, U.A. Linarka, T. Wati, L. Juneng, T. Phan-Van, T. Ngo-Duc, J. Santisirisomboon, D. Gunawan, and E. Aldrian. 2017. Sensitivity of temperature to physical parameterization schemes of RegCM4 over the CORDEX-Southeast Asia region. International Journal of Climatology. 37(15):5139-5153. https://doi.org/10.1002/joc.5151Spatial Data Access Tool (SDAT)
2017Sharma, A.2017. Water-food nexus: modelling the interlinkages between food prices, deforestation, and the water balance in northern South America. Delft University of Technology, Water Management. Spatial Data Access Tool (SDAT)
2017Shi, H., L. Li, D. Eamus, A. Huete, J. Cleverly, X. Tian, Q. Yu, S. Wang, L. Montagnani, V. Magliulo, E. Rotenberg, M. Pavelka, and A. Carrara. 2017. Assessing the ability of MODIS EVI to estimate terrestrial ecosystem gross primary production of multiple land cover types. Ecological Indicators. 72:153-164. https://doi.org/10.1016/j.ecolind.2016.08.022Spatial Data Access Tool (SDAT)
2017Tafelmeier, S., G. Pernigotto, and A. Gasparella. 2017. Annual Performance of Sensible and Total Heat Recovery in Ventilation Systems: Humidity Control Constraints for European Climates. Buildings. 7(4):28. https://doi.org/10.3390/buildings7020028Spatial Data Access Tool (SDAT)
2017Tobler, R., A. Rohrlach, J. Soubrier, P. Bover, B. Llamas, J. Tuke, N. Bean, A. Abdullah-Highfold, S. Agius, A. O'Donoghue, I. O'Loughlin, P. Sutton, F. Zilio, K. Walshe, A.N. Williams, C.S.M. Turney, M. Williams, S.M. Richards, R.J. Mitchell, E. Kowal, J.R. Stephen, L. Williams, W. Haak, and A. Cooper. 2017. Aboriginal mitogenomes reveal 50,000 years of regionalism in Australia. Nature. 544(7649):180-184. https://doi.org/10.1038/nature21416Spatial Data Access Tool (SDAT)
2017Zhang, Y., F.H.S. Chiew, J. Pena-Arancibia, F. Sun, H. Li, and R. Leuning. 2017. Global variation of transpiration and soil evaporation and the role of their major climate drivers. Journal of Geophysical Research: Atmospheres. 122(13):6868-6881. https://doi.org/10.1002/2017JD027025Spatial Data Access Tool (SDAT)
2017Zohaib, M., H. Kim, and M. Choi. 2017. Evaluating the patterns of spatiotemporal trends of root zone soil moisture in major climate regions in East Asia. Journal of Geophysical Research: Atmospheres. 122(15):7705-7722. https://doi.org/10.1002/2016JD026379Spatial Data Access Tool (SDAT)
2016Bhaskar, A.S., C. Jantz, C. Welty, S.A. Drzyzga, and A.J. Miller. 2016. Coupling of the Water Cycle with Patterns of Urban Growth in the Baltimore Metropolitan Region, United States. JAWRA Journal of the American Water Resources Association. 52(6):1509-1523. https://doi.org/10.1111/1752-1688.12479Spatial Data Access Tool (SDAT)
2016Chew, C., R. Shah, C. Zuffada, G. Hajj, D. Masters, and A.J. Mannucci. 2016. Demonstrating soil moisture remote sensing with observations from the UK TechDemoSat-1 satellite mission. Geophysical Research Letters. 43(7):3317-3324. https://doi.org/10.1002/2016GL068189Spatial Data Access Tool (SDAT)
2016CRUZ, F.T., H. SASAKI, and G.T. NARISMA. 2016. Assessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the Philippines. Journal of the Meteorological Society of Japan. Ser. II. 94A:165-179. https://doi.org/10.2151/jmsj.2015-059Spatial Data Access Tool (SDAT)
2016Drastig, K., J.C.P. Palhares, K. Karbach, and A. Prochnow. 2016. Farm water productivity in broiler production: case studies in Brazil. Journal of Cleaner Production. 135:9-19. https://doi.org/10.1016/j.jclepro.2016.06.052Spatial Data Access Tool (SDAT)
2016Kelle, F.L. 2016. To Claim or Not to Claim? How Territorial Value Shapes Demands for Self-Determination. Comparative Political Studies. 50(7):992-1020. https://doi.org/10.1177/0010414016666837Spatial Data Access Tool (SDAT)
2016Micheli, L., M. Muller, and S. Kurtz. 2016. Determining the effects of environment and atmospheric parameters on PV field performance. 1724-1729. https://doi.org/10.1109/PVSC.2016.7749919Spatial Data Access Tool (SDAT)
2016Song, J.H., Y. Lee, and D.S. Lee. 2016. Development of a multimedia model (POPsLTEA) to assess the influence of climate change on the fate and transport of polycyclic aromatic hydrocarbons in East Asia. Science of The Total Environment. 569-570:690-699. https://doi.org/10.1016/j.scitotenv.2016.06.127Spatial Data Access Tool (SDAT)
2016Zhuge, X. and X. Zou. 2016. Test of a Modified Infrared-Only ABI Cloud Mask Algorithm for AHI Radiance Observations. Journal of Applied Meteorology and Climatology. 55(11):2529-2546. https://doi.org/10.1175/jamc-d-16-0254.1Spatial Data Access Tool (SDAT)