- Our Research
Both in-situ observation and numerical modeling in the field of environmental science are Yi-Ying's research interests. His research activity focused on the topic of land-atmospheric interactions, specific topical interests including large scale climate response through land-based environmental changes such as land use/cover changes, typhoon/storm/drought/fire disturbances, and forest management. He has been worked on developing a windthrow module in the land surface model and scripts for analyzing the simulation results, since he joined the climate research group at RCEC, AS in Taiwan. Research topics such as evaluating the dynamics of forest ecosystem services to environmental disturbances and climate warming were studied and addressed by factorial experiments with a novel model development. He also worked on compiling land use/cover data for studying the carbon budget at a regional/global scale.
Yi-Ying holds a Ph.D. in Hydrological and Oceanic Sciences from the National Central University, Taiwan and a Bachelor in Hydraulic Engineering from the Feng-Chia University, Taiwan.
Chen, Yi-Ying*, Huang, W., Wang, W.-H., Juang, J.-Y., Hong, J.-S., Kato, T., Luyssaert, S., (2019): “Reconstructing Taiwan's land cover changes between 1904 and 2015 from historical maps and SPOT images, Scientific Reports, 9, 3643. Abstract
Chen, Yi-Ying*, Gardiner, B., Pasztor, F., Blennow, K., Ryder, J., Valade, A., Naudts, K., Otto, J., McGrath, J. M., Planque, C., Luyssaert, S., (2018): “Simulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262)”, Geoscientific Model Development, 11, 771-791. Abstract
Luyssaert*, S., Marie, G., Valade, A., Chen, Yi-Ying, Djomo, S.N., Ryder, J., Otto, J., Naudts, A., Lansø, A.S., Ghattas, J., McGrath, J. M., (2018): “Trade-offs in using European forests to meet climate objectives”, Nature, 562, 259-262. Abstract
Chen, Yi-Ying*, Ryder, J., Bastrikov, V., McGrath, M. J., Naudts, K., Otto, J., Ottlé, C., Peylin, P., Polcher, J., Valade, A., Black, A., Elbers, J. A., Moors, E., Foken, T., van Gorsel, E., Haverd, V., Heinesch, B., Tiedemann, F., Knohl, A., Launiainen, S., Loustau, D., Ogée, J., Vesala, T., Luyssaert, S., (2016): “Evaluating the performance of the land surface model ORCHIDEE-CAN v1.0 on water and energy fluxes estimation with a single- and multi-layer energy budget scheme”, Geoscientific Model Development, 9, 2951-2972. Abstract
Naudts, K.*, Chen, Yi-Ying, McGrath, M., Ryder, J., Aude, V., Juliane, O., Luyssaert, S., (2016): “Europe’s forest management did not mitigate climate warming”, Science, 351(6273), 597-600. Abstract
Chen, Yi-Ying* and Ming-Hsu Li, 2016, “Quantifying rainfall interception loss of a subtropical broadleaved forest in central Taiwan”, Water, 8(1), 14, 1-19. Abstract
Chen, Yi-Ying, Chu, C.-R., Li., M.-H.*, 2012, “A gap-filling model for eddy covariance latent heat flux: Estimating evapotranspiration of a subtropical seasonal evergreen broad-leaved forest as an example”, Journal of Hydrology, 468-269, 101-110. Abstract
Reconstructing Taiwan's land cover changes: A new reconstitution of Taiwan’s land cover changes and its uncertainty between 1904 and 2015 is presented. The reconstruction which integrates geographical information from historical maps and satellite images from SPOT is spatially explicit with a 500 x 500 m resolution and distinguishes six land cover classes: forests, grasslands, agriculture land, inland water, built-up, and bare soil. This type of information is essential to quantifying the contribution of climate warming from land cover changes by making use of a modeling approach, which is also in line with the large scale land cover reconstruction in Europe. The new land cover reconstruction is thus expected to contribute to future revisions of global land cover reconstructions as well as to studies of (gross) land cover changes, the carbon budget, regional climate, urban heat islands, and air and water pollution at the national level. Download Dataset
Simulating the storm damage to forests: Abrupt increases in tree mortality due to wind disturbance have been added an Earth system model. A new module calculated the critical wind speeds for stem-break and overturning by developing numerically efficient solutions to deal with (1) landscape heterogeneity, i.e. account for newly established forest edges for the parameterization of gusts; (2) downscaling spatially and temporally aggregated wind fields tobtain more realistic wind speeds that would represent gusts; and (3) downscaling storm damage within the 2,500 km2 pixels. This new module was parameterized and was tested over Sweden. The new model version can capture the dynamics of forest structure due to storm disturbance at the regional scale. Model parameters for various tree species are expected to be refined by using a pan Europe wind disturbance dataset. The new model is also used to study atmospheric feedbacks due to land management and environmental disturbances in a changing climate.