Molecular distributions of dicarboxylic acids, oxocarboxylic acids and α-dicarbonyls in PM2.5 collected at the top of Mt. Tai, North China, during the wheat burning season of 2014

Zhu, Y., Yang, L., Chen, J., Kawamura, K., Sato, M., Tilgner, A., van Pinxteren, D., Chen, Y., Xue, L., Wang, X., Herrmann, H. & Wang, W., 27/07/2018, In: Atmospheric Chemistry and Physics Discussions. 18, p. 10741-10758 18 p.

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Molecular distributions of dicarboxylic acids, oxocarboxylic acids and $alpha $-dicarbonyls in PM$_2.5$ collected at the top of Mt. Tai, North China, during the wheat burning season of 2014: English

Zhu, Y., Yang, L., Chen, J., Kawamura, K., Sato, M., Tilgner, A., van Pinxteren, D., Chen, Y., Xue, L., Wang, X., Simpson, I. J., Herrmann, H., Blake, D. R. & Wang, W., 27/07/2018, In: Atmospheric Chemistry and Physics . 18, 14, p. 10741-10758 18 p.

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A novel multi-parameter support vector machine for image classification

Zhang, C., Wang, T., Atkinson, P. M., Pan, X. & Li, H., 7/04/2015, In: International Journal of Remote Sensing. 36, 7, p. 1890-1906 17 p.

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Novel shape indices for vector landscape pattern analysis

Zhang, C. & Atkinson, P. M., 12/2016, In: International Journal of Geographical Information Science. 30, 12, p. 2442-2461 20 p.

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A hybrid MLP-CNN classifier for very fine resolution remotely sensed image classification

Zhang, C., Pan, X., Li, H., Gardiner, A., Sargent, I., Hare, J. & Atkinson, P. M., 06/2018, In: ISPRS Journal of Photogrammetry and Remote Sensing. 140, p. 133-144 12 p.

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Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping

Zhang, Y., Li, X., Ling, F., Atkinson, P. M., Ge, Y., Shi, L. & Du, Y., 12/2017, In: International Journal of Applied Earth Observation and Geoinformation. 63, p. 129-142 14 p.

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A rough set decision tree based MLP-CNN for very high resolution remotely sensed image classification

Zhang, C., Pan, X., Zhang, S., Li, H. & Atkinson, P. M., 22/09/2017, In: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences. p. 1451-1454 4 p.

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VPRS-based regional decision fusion of CNN and MRF classifications for very fine resolution remotely sensed images

Zhang, C., Sargent, I., Pan, X., Gardiner, A., Hare, J. & Atkinson, P. M., 08/2018, In: IEEE Transactions on Geoscience and Remote Sensing. 56, 8, p. 4507-4521 15 p.

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Spatial-temporal fraction map fusion with multi-scale remotely sensed images

Zhang, Y., Foody, G. M., Ling, F., Li, X., Ge, Y., Du, Y. & Atkinson, P. M., 08/2018, In: Remote Sensing of Environment. 213, p. 162-181 20 p.

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Spectral–Spatial Adaptive Area-to-Point Regression Kriging for MODIS Image Downscaling

Zhang, Y., Atkinson, P. M., Ling, F., Wang, Q., Li, X., Shi, L. & Du, Y., 1/05/2017, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10, 5, p. 1883-1896 14 p.

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Learning-Based Spatial–Temporal Superresolution Mapping of Forest Cover With MODIS Images

Zhang, Y., Atkinson, P. M., Li, X., Ling, F., Wang, Q. & Du, Y., 01/2017, In: IEEE Transactions on Geoscience and Remote Sensing. 55, 1, p. 600-614 15 p.

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An object-based convolutional neural network (OCNN) for urban land use classification

Zhang, C., Sargent, I., Pan, X., Li, H., Gardiner, A., Hare, J. & Atkinson, P. M., 10/2018, In: Remote Sensing of Environment. 216, p. 57-70 14 p.

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Simulation of soil water flow and heat transport in drip irrigated potato field with raised beds and full plastic-film mulch in a semiarid area

Zhang, Y-L., Feng, S-Y., Wang, F-X. & Binley, A. M., 30/10/2018, In: Agricultural Water Management. 209, p. 178-187 10 p.

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Joint Deep Learning for land cover and land use classification

Zhang, C., Sargent, I., Pan, X., Li, H., Gardiner, A., Hare, J. & Atkinson, P. M., 02/2019, In: Remote Sensing of Environment. 221, p. 173-187 15 p.

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Mapping annual forest cover by fusing PALSAR/PALSAR-2 and MODIS NDVI during 2007–2016

Zhang, Y., Ling, F., Foody, G. M., Ge, Y., Boyd, D. S., Li, X., Du, Y. & Atkinson, P. M., 1/04/2019, In: Remote Sensing of Environment. 224, p. 74-91 18 p.

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Using picosatellites for 4-D imaging of volcanic clouds: proof of concept using ISS photography of the 2009 Sarychev Peak eruption

Zakšek, K., James, M. R., Hort, M., Nogueira, T. & Schilling, K., 1/06/2018, In: Remote Sensing of Environment. 210, p. 519-530 12 p.

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Climate policy implications of nonlinear decline of Arctic land permafrost and other cryosphere elements

Yumashev, D., Hope, C., Schaefer, K., Riemann-Campe, K., Iglesias-Suarez, F., Jafarov, E., Burke, E., Young, P. J., Elshorbany, Y. & Whiteman, G., 23/04/2019, In: Nature Communications. 2019, 10, 11 p., 1900.

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A global perspective on drinking-water and sanitation classification: an evaluation of census content

Yu, W., A. Wardrop, N., E. S. Bain, R., Lin, Y., Zhang, C. & A. Wright, J., 17/03/2016, In: PLoS ONE. 11, 3, p. 1-17 17 p., e0151645.

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Polycyclic Aromatic Hydrocarbons not declining in Arctic air despite global emission reduction

Yu, Y., Katsoyiannis, A., Bohlin Nizzetto, P., Brorström-Lundén, E., Ma, J., Zhao, Y., Wu, Z., Tych, W., Mindham, D., Sverko, E., Barresi, E., Dryfhout-Clark, H., Fellin, P. & Hung, H., 28/02/2019, In: Environmental Science and Technology. 53, 5, p. 2375–2382 8 p.

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Refined instrumental variable estimation: maximum likelihood optimization of a unified Box-Jenkins model

Young, P., 02/2015, In: Automatica. 52, p. 35-46 12 p.

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Tropospheric Ozone Assessment Report: Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends

Young, P. J., Naik, V., Fiore, A. M., Gaudel, A., Guo, J., Lin, M. Y., Neu, J., Parrish, D., Reider, H. E., Schnell, J. L., Tilmes, S., Wild, O., Zhang, L., Brandt, J., Delcloo, A., Doherty, R. M., Geels, C., Hegglin, M., Hu, L., Im, U., & 10 othersKumar, R., Luhar, A., Murray, L., Plummer, D., Rodriguez, J., Saiz-Lopez, A., Schultz, M. G., Woodhouse, M., Zeng, G. & Ziemke, J., 31/01/2018, In: Elementa: Science of the Anthropocene. 6, 1, 49 p.

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Efficient Parameterization of Nonlinear System Models: a Comment on Noel and Schoukens

Young, P. C., 1/07/2020, In: International Journal of Control. 93, 7, p. 1591-1595 5 p.

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On the Origin of Surface Ozone Episode in Shanghai over Yangtze River Delta during a Prolonged Heat Wave

Wu, J., Wang, Q., Chen, H., Zhang, Y. & Wild, O., 31/10/2017, In: Aerosol and Air Quality Research. 17, 11, p. 2804-2815 12 p.

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On the distribution of wave height in shallow water

Wu, Y., Randell, D., Christou, M., Ewans, K. & Jonathan, P., 1/05/2016, In: Coastal Engineering. 111, p. 39-49 11 p.

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Ambient marine shipping emissions determined by vessel operation mode along the East China Sea

Wu, Y., Liu, D., Wang, X., Li, S., Zhang, J., Qiu, H., Ding, S., Hu, K., Li, W., Tian, P., Liu, Q., Zhao, D., Ma, E., Chen, M., Xu, H., Ouyang, B., Chen, Y., Kong, S., Ge, X. & Liu, H., 15/05/2021, In: Science of the Total Environment. 769

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Latitudinal variation in thermal tolerance breadth of early life stages of corals

Woolsey, E., Keith, S., Byrne, M., Schmidt-Roach, S. & Baird, A., 06/2015, In: Coral Reefs. 34, 2, p. 471-478 8 p.

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Development of large scale inland flood scenarios for disaster response planning based on spatial/temporal conditional probability analysis

Wood, E., Lamb, R., Warren, S., Hunter, N., Tawn, J., Allan, R. & Laeger, S., 20/10/2016, In: E3S Web of Conferences. 7, 6 p., 01003.

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Uplift rates from a new high-density GPS network in Palmer Land indicate significant late Holocene ice loss in the southwestern Weddell Sea

Wolstencroft, M., King, M. A., Whitehouse, P. L., Bentley, M. J., Nield, G. A., King, E. C., McMillan, M., Shepherd, A., Barletta, V., Bordoni, A., Riva, R. E. M., Didova, O. & Gunter, B. C., 1/10/2015, In: Geophysical Journal International. 203, 1, p. 737-754 18 p.

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Modelling heatwaves in central France: a case-study in extremal dependence

Winter, H. & Tawn, J. A., 04/2016, In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 65, 3, p. 345-365 21 p.

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Modelling the effect of the El Nino-Southern Oscillation on extreme spatial temperature events over Australia

Winter, H., Tawn, J. A. & Brown, S., 1/12/2016, In: Annals of Applied Statistics. 10, 4, p. 2075-2101 27 p.

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kth-order Markov extremal models for assessing heatwave risks

Winter, H. & Tawn, J. A., 06/2017, In: Extremes. 20, 2, p. 393-415 23 p.

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Characterising the changing behaviour of heatwaves with climate change

Winter, H., Brown, S. & Tawn, J. A., 17/01/2017, In: Dynamics and Statistics of the Climate System. 1, 1, 17 p., dzw006.

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A cloud based tool for knowledge exchange on local scale flood risk

Wilkinson, M., Mackay, E., Quinn, P. F., Stutter, M., Beven, K., Macleod, C. J. A., Macklin, M. G., Elkhatib, Y., Percy, B. J., Vitolo, C. & Haygarth, P., 15/09/2015, In: Journal of Environmental Management. 161, p. 38-50 13 p.

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Potential applications of subseasonal-to-seasonal (S2S) predictions

White, C. J., Carlsen, H., Robertson, A. W., Klein, R. J. T., Lazo, J. K., Vitart, F., Coughlan De Perez, E., Ray, A. J., Murray, V., Bharwani, S., Macleod, D., James, R., Fleming, L., Morse, A. P., Eggen, B., Graham, R., Kjellström, E., Becker, E., Pegion, K. V., Holbrook, N. J., & 13 othersMcevoy, D., Depledge, M., Perkins-kirkpatrick, S., Brown, T. J., Street, R., Jones, L., Remenyi, T. A., Hodgson-johnston, I., Buontempo, C., Lamb, R., Meinke, H., Arheimer, B. & Zebiak, S. E., 07/2017, In: Meteorological Applications. 24, 3, p. 315-325 11 p.

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Methods to estimate changes in soil water for phenotyping root activity in the field

Whalley, W. R., Binley, A. M., Watts, C. W., Shanahan, P., Dodd, I. C., Ober, E. S., Ashton, R. W., Webster, C. P., White, R. P. & Hawkesford, M. J., 06/2017, In: Plant and Soil. 415, 1-2, p. 407-422 16 p.

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Probing the subtropical lowermost stratosphere and the tropical upper troposphere and tropopause layer for inorganic bromine

Werner, B., Stutz, J., Spolaor, M., Scalone, L., Raecke, R., Festa, J., Colosimo, S. F., Cheung, R., Tsai, C., Hossaini, R., Chipperfield, M. P., Taverna, G. S., Feng, W., Elkins, J., Fahey, D., Gao, R-S., Hintsa, E. J., Thornberry, T. D., Moore, F. L., Navarro, M. A., & 5 othersAtlas, E., Daube, B. C., Pittman, J., Wofsy, S. & Pfeilsticker, K., 25/01/2017, In: Atmospheric Chemistry and Physics . 17, 2, p. 1161-1186 26 p.

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Estimating seasonal aboveground biomass of a riparian pioneer plant community: An exploratory analysis by canopy structural data

Wen, Z., Ma, M., Zhang, C., Yi, X., Chen, J. & Wu, S., 12/2017, In: Ecological Indicators. 83, p. 441-450 10 p.

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Permeability prediction based on induced polarization: insights from measurements on sandstone and unconsolidated samples spanning a wide permeability range

Weller, A., Slater, L., Binley, A., Nordsiek, S. & Xu, S., 03/2015, In: Geophysics. 80, 2, p. D161-D173 13 p.

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Nierji reservoir flood forecasting based on a Data-Based Mechanistic methodology

Wei, G., Tych, W., Beven, K., He, B., Ning, F. & Zhou, H., 1/12/2018, In: Journal of Hydrology. 567, p. 227-237 11 p.

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Characterization of reactive transport by 3-D electrical resistivity tomography (ERT) under unsaturated conditions

Wehrer, M., Binley, A. & Slater, L. D., 10/2016, In: Water Resources Research. 52, 10, p. 8295-8316 22 p.

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Quantifying ice cliff evolution with multi-temporal point clouds on the debris-covered Khumbu Glacier, Nepal

Watson, C. S., Quincey, D. J., Smith, M. W., Carrivick, J. L., Rowan, A. V. & James, M. R., 10/2017, In: Journal of Glaciology. 63, 241, p. 823-837 15 p.

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The influence of socio-economic, behavioural and environmental factors on Taenia spp. transmission in Western Kenya: evidence from a cross-sectional survey in humans and pigs

Wardrop, N. A., Thomas, L. F., Atkinson, P. M., de Glanville, W. A., Cook, E. A. J., Wamae, C. N., Gabriel, S., Dorney, P., Harrison, L. J. S. & Fevre, E. M., 7/12/2015, In: PLoS Neglected Tropical Diseases. 9, 12, 16 p., e0004223.

Research output: Contribution to Journal/Magazine › Journal article › peer-review