Professor Adrian Chappell
Professor in Climate Change Impacts
School of Earth and Environmental Sciences
- Available for postgraduate supervision
Overview
- Land surface processes
- Soil erosion
- Geomorphology
- Geostatistics
- Remote sensing
- Dust emission modelling
- Canopy modelling / aerodynamic roughness
Publication
2024
- Tyree, G. L. et al. 2024. Oil and gas development influences potential for dust emission from the Upper Colorado River Basin, USA. Earth Surface Processes and Landforms 49(11), pp. 3292-3307. (10.1002/esp.5887)
- Dhital, S. et al. 2024. Synoptic analysis and WRF-Chem model simulation of dust events in the Southwestern United States. Journal of Geophysical Research: Atmospheres 129(13), article number: e2023JD040650. (10.1029/2023JD040650)
- Sharmin, T., Chappell, A. and Lannon, S. 2024. Spatio-temporal analysis of LST, NDVI and SUHI in a coastal temperate city using local climate zone. Energy and Built Environment (10.1016/j.enbenv.2024.06.002)
- Prăvălie, R. et al. 2024. A unifying modelling of multiple land degradation pathways in Europe. Nature Communications 15(1), article number: 3862. (10.1038/s41467-024-48252-x)
- Lu, Z. et al. 2024. Land management policy shift influenced seasonal variation of erosion-induced nitrogen and phosphorus outputs from intensive agricultural catchment. Science of the Total Environment 918, article number: 170590. (10.1016/j.scitotenv.2024.170590)
- Chappell, A., Hennen, M., Schepanski, K., Dhital, S. and Tong, D. 2024. Reducing resolution dependency of dust emission modeling using Albedo‐Based wind friction. Geophysical Research Letters 51(5), article number: e2023GL106540. (10.1029/2023gl106540)
- Zhou, Z. et al. 2024. Using field measurements across land cover types to evaluate albedo-based wind friction velocity and estimate sediment transport. Journal of Geophysical Research: Atmospheres 129(4), article number: e2023JD040313. (10.1029/2023JD040313)
2023
- Steiner, J. L. et al. 2023. Chapter 3 - Distinctive Dryland Soil Carbon Transformations. In: Lal, R. ed. Soil and Drought - Basic Processes. Advances in Soil Sciences Boca Raton, FL: CRC Press, pp. 39-82., (10.1201/b22954)
- Hennen, M. et al. 2023. A new framework for evaluating dust emission model development using dichotomous satellite observations of dust emission. Science of the Total Environment, article number: 169237. (10.1016/j.scitotenv.2023.169237)
- Yu, H. et al. 2023. Novel sediment source fingerprinting quantifying erosion-induced total nitrogen and total phosphorus outputs from an intensive agricultural catchment, North China. International Soil and Water Conservation Research 11(3), pp. 494-506. (10.1016/j.iswcr.2022.10.006)
- Chappell, A. et al. 2023. Elucidating hidden and enduring weaknesses in dust emission modelling. Journal of Geophysical Research: Atmospheres 128(17), article number: e2023JD038584. (10.1029/2023JD038584)
- Chappell, A. et al. 2023. Satellites reveal Earth's seasonally shifting dust emission sources. Science of the Total Environment 883, article number: 163452. (10.1016/j.scitotenv.2023.163452)
- Hennen, M., Chappell, A. and Webb, N. P. 2023. Modelled direct causes of dust emission change (2001?2020) in southwestern USA and implications for management. Aeolian Research: An International Journal on Wind Erosion Research 60, article number: 100852. (10.1016/j.aeolia.2022.100852)
2022
- Zheng, G. et al. 2022. Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: a case study in the Yangtze River Delta (China). Urban Climate 43, article number: 101147. (10.1016/j.uclim.2022.101147)
- Hennen, M. et al. 2022. A North American dust emission climatology (2001–2020) calibrated to dust point sources from satellite observations. Aeolian Research 54, article number: 100766. (10.1016/j.aeolia.2021.100766)
2021
- Fan, W. et al. 2021. Evaluation of global reanalysis land surface wind speed trends to support wind energy development using in situ observations. Journal of Applied Meteorology and Climatology 60(1), pp. 33-50. (10.1175/JAMC-D-20-0037.1)
2020
- Ziegler, N. P., Webb, N. P., Chappell, A. and LeGrand, S. L. 2020. Scale‐invariance of albedo‐based wind friction velocity. Journal of Geophysical Research: Atmospheres 125(16), article number: e2019JD031978. (10.1029/2019JD031978)
- Webb, N. P. et al. 2020. Indicators and benchmarks for wind erosion monitoring, assessment and management. Ecological Indicators 110, article number: 105881. (10.1016/j.ecolind.2019.105881)
- Webb, N. P., Chappell, A., LeGrand, S. L., Ziegler, N. P. and Edwards, B. L. 2020. A note on the use of drag partition in aeolian transport models. Aeolian Research 42, article number: 100560. (10.1016/j.aeolia.2019.100560)
2019
- Zeng, Z. et al. 2019. A reversal in global terrestrial stilling and its implications for wind energy production. Nature Climate Change 9(12), pp. 979-985. (10.1038/s41558-019-0622-6)
- Webb, N. P. et al. 2019. Reducing sampling uncertainty in aeolian research to improve change detection. Journal of Geophysical Research. Earth Surface 124(6), pp. 1366-1377. (10.1029/2019JF005042)
- Chappell, A., Webb, N. P., Leys, J. F., Waters, C., Orgill, S. and Eyres, M. 2019. Minimising soil organic carbon erosion by wind is critical for land degradation neutrality. Environmental Science and Policy 93 (10.1016/j.envsci.2018.12.020)
2018
- Teng, H. et al. 2018. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models. Science of the Total Environment 635, pp. 673-686. (10.1016/j.scitotenv.2018.04.146)
- Chappell, A. et al. 2018. Improving ground cover monitoring for wind erosion assessment using MODIS BRDF parameters. Remote Sensing of Environment 204, pp. 756-768. (10.1016/j.rse.2017.09.026)
2017
- Teng, H., Ma, Z., Chappell, A., Shi, Z., Liang, Z. and Yu, W. 2017. Improving rainfall erosivity estimates using merged TRMM and gauge data. Remote Sensing 9(11), article number: 1134. (10.3390/rs9111134)
- Geng, Y., Yu, H., Li, Y., Tarafder, M., Tian, G. and Chappell, A. 2017. Traditional manual tillage significantly affects soil redistribution and CO2 emission in agricultural plots on the Loess Plateau. Soil Research 56(2), pp. 171-181. (10.1071/SR16157)
- Webb, N. P., Marshall, N. A., Stringer, L. C., Reed, M. S., Chappell, A. and Herrick, J. E. 2017. Land degradation and climate change: building climate resilience in agriculture. Frontiers in Ecology and the Environment 15(8), pp. 450-459. (10.1002/fee.1530)
- Webb, N. P. et al. 2017. Enhancing wind erosion monitoring and assessment for U.S. rangelands. Rangelands 39(3-4), pp. 85-96. (10.1016/j.rala.2017.04.001)
- Van Pelt, R. S., Hushmurodov, S. X., Baumhardt, R. L., Chappell, A., Nearing, M. A., Polyakov, V. O. and Strack, J. E. 2017. The reduction of partitioned wind and water erosion by conservation agriculture. CATENA 148, pp. 160-167. (10.1016/j.catena.2016.07.004)
2016
- Chappell, A. and Webb, N. P. 2016. Using albedo to reform wind erosion modelling, mapping and monitoring. Aeolian Research 23, pp. 63-78. (10.1016/j.aeolia.2016.09.006)
- Chappell, A. and Baldock, J. A. 2016. Wind erosion reduces soil organic carbon sequestration falsely indicating ineffective management practices. Aeolian Research 22, pp. 107-116. (10.1016/j.aeolia.2016.07.005)
- Yu, H., Li, Y., Zhou, N., Chappell, A., LI, X. and Poesen, J. 2016. Soil nutrient loss due to tuber crop harvesting and its environmental impact in the North China Plain. Journal of Integrative Agriculture 15(7), pp. 1612-1624. (10.1016/S2095-3119(15)61268-0)
- Yue, Y. et al. 2016. Lateral transport of soil carbon and land-atmosphere CO2 flux induced by water erosion in China. Proceedings of the National Academy of Sciences 113(24), pp. 6617-6622. (10.1073/pnas.1523358113)
- Viscarra Rossel, R. A. et al. 2016. A global spectral library to characterize the world's soil. Earth-Science Reviews 155, pp. 198-230. (10.1016/j.earscirev.2016.01.012)
- Teng, H., Viscarra Rossel, R. A., Shi, Z., Behrens, T., Chappell, A. and Bui, E. 2016. Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling and Software 77, pp. 156-167. (10.1016/j.envsoft.2015.11.024)
- Chappell, A., Baldock, J. and Sanderman, J. 2016. The global significance of omitting soil erosion from soil organic carbon cycling schemes. Nature Climate Change 6(2), pp. 187-191. (10.1038/nclimate2829)
- Luo, Y. et al. 2016. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles 30(1), pp. 40-56. (10.1002/2015GB005239)
2015
- Shao, Y. et al. 2015. A tribute to Michael R. Raupach for contributions to aeolian fluid dynamics. Aeolian Research 19, pp. 37-54. (10.1016/j.aeolia.2015.09.004)
- Wang, R. et al. 2015. Sources, transport and deposition of iron in the global atmosphere. Atmospheric Chemistry and Physics 15(11), pp. 6247-6270. (10.5194/acp-15-6247-2015)
- Chappell, A., Li, Y., Yu, H., Zhang, Y. and Li, X. 2015. Cost-effective sampling of 137 Cs-derived net soil redistribution: part 2 – estimating the spatial mean change over time. Journal of Environmental Radioactivity 144, pp. 168-174. (10.1016/j.jenvrad.2015.02.015)
- Bui, E., Chappell, A., Kelly, T. and McTainsh, G. 2015. Linked fluvial and aeolian processes fertilize Australian bioregions. Aeolian Research 17, pp. 255-262. (10.1016/j.aeolia.2014.12.001)
- Koch, A., Chappell, A., Eyres, M. and Scott, E. 2015. Monitor soil degradation or triage for soil security? An Australian challenge. Sustainability 7(5), pp. 4870-4892. (10.3390/su7054870)
- Li, Y., Chappell, A., Nyamdavaa, B., Yu, H., Davaasuren, D. and Zoljargal, K. 2015. Cost-effective sampling of 137Cs-derived net soil redistribution: part 1- estimating the spatial mean across scales of variation. Journal of Environmental Radioactivity 141, pp. 97-105. (10.1016/j.jenvrad.2014.12.007)
2014
- Chappell, A., Webb, N. P., Viscarra Rossel, R. A. and Bui, E. 2014. Australian net (1950s–1990) soil organic carbon erosion: implications for CO2 emission and land–atmosphere modelling. Biogeosciences 11(18), pp. 5235-5244. (10.5194/bg-11-5235-2014)
- Li, Y., Yu, H., Chappell, A., Zhou, N. and Funk, R. 2014. How much soil organic carbon sequestration is due to conservation agriculture reducing soil erosion?. Soil Research 52(7), pp. 717-726. (10.1071/SR14078)
2013
- Chappell, A., Webb, N. P., Butler, H. J., Strong, C. L., McTainsh, G. H., Leys, J. F. and Viscarra Rossel, R. A. 2013. Soil organic carbon dust emission: an omitted global source of atmospheric CO2. Global Change Biology 19(10), pp. 3238-3244. (10.1111/gcb.12305)
- Chappell, A., Renzullo, L. J., Raupach, T. H. and Haylock, M. 2013. Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia. Journal of Hydrology 493, pp. 105-114. (10.1016/j.jhydrol.2013.04.024)
- Webb, N. P., Strong, C. L., Chappell, A., Marx, S. K. and McTainsh, G. H. 2013. Soil organic carbon enrichment of dust emissions: magnitude, mechanisms and its implications for the carbon cycle. Earth Surface Processes and Landforms 38(14), pp. 1662-1671. (10.1002/esp.3404)
- Chappell, A. and Viscarra Rossel, R. A. 2013. The importance of sampling support for explaining change in soil organic carbon. Geoderma 193-19, pp. 323-325. (10.1016/j.geoderma.2012.09.011)
- Sanderman, J. and Chappell, A. 2013. Uncertainty in soil carbon accounting due to unrecognized soil erosion. Global Change Biology 19(1), pp. 264-272. (10.1111/gcb.12030)
2012
- Favet, J. et al. 2012. Microbial hitchhikers on intercontinental dust: catching a lift in Chad. ISME Journal 7(4), pp. 850-867. (10.1038/ismej.2012.152)
2011
- Shao, Y. et al. 2011. Dust cycle: An emerging core theme in Earth system science. Aeolian Research 2(4), pp. 181-204. (10.1016/j.aeolia.2011.02.001)
2007
- Ekstrom, M., Kyriakidis, P. C., Chappell, A. and Jones, P. D. 2007. Spatiotemporal stochastic simulation of monthly rainfall patterns in the United Kingdom (1980-87). Journal of Climate 20(16), pp. 4194-4210. (10.1175/JCLI4233.1)
- Chappell, A. 2007. Using teaching observations and reflective practice to challenge conventions and conceptions of teaching in geography. Journal of Geography in Higher Education 31(2), pp. 257-268. (10.1080/03098260601063651)
2006
- Chappell, A., Zobeck, T. M. and Brunner, G. 2006. Using bi-directional soil spectral reflectance to model soil surface changes induced by rainfall and wind-tunnel abrasion. Remote Sensing of Environment 102(3-4), pp. 328-343. (10.1016/j.rse.2006.02.020)
- Chappell, A. 2006. Using the 'grieving' process and learning journals to evaluate students' responses to problem-based learning in an undergraduate geography curriculum. Journal of Geography in Higher Education 30(1), pp. 15-31. (10.1080/03098260500499584)
2001
- Chappell, A. 2001. Challenging the teaching convention in geography using problem-based learning: The role of reflective practice in supporting change. Planet 4(1), pp. 18-22. (10.11120/plan.2001.00040018)
1999
- Chappell, A. 1999. The limitations of using 137Cs for estimating soil redistribution in semi-arid environments. Geomorphology 29(1-2), pp. 135-152. (10.1016/S0169-555X(99)00011-2)
Articles
- Tyree, G. L. et al. 2024. Oil and gas development influences potential for dust emission from the Upper Colorado River Basin, USA. Earth Surface Processes and Landforms 49(11), pp. 3292-3307. (10.1002/esp.5887)
- Dhital, S. et al. 2024. Synoptic analysis and WRF-Chem model simulation of dust events in the Southwestern United States. Journal of Geophysical Research: Atmospheres 129(13), article number: e2023JD040650. (10.1029/2023JD040650)
- Sharmin, T., Chappell, A. and Lannon, S. 2024. Spatio-temporal analysis of LST, NDVI and SUHI in a coastal temperate city using local climate zone. Energy and Built Environment (10.1016/j.enbenv.2024.06.002)
- Prăvălie, R. et al. 2024. A unifying modelling of multiple land degradation pathways in Europe. Nature Communications 15(1), article number: 3862. (10.1038/s41467-024-48252-x)
- Lu, Z. et al. 2024. Land management policy shift influenced seasonal variation of erosion-induced nitrogen and phosphorus outputs from intensive agricultural catchment. Science of the Total Environment 918, article number: 170590. (10.1016/j.scitotenv.2024.170590)
- Chappell, A., Hennen, M., Schepanski, K., Dhital, S. and Tong, D. 2024. Reducing resolution dependency of dust emission modeling using Albedo‐Based wind friction. Geophysical Research Letters 51(5), article number: e2023GL106540. (10.1029/2023gl106540)
- Zhou, Z. et al. 2024. Using field measurements across land cover types to evaluate albedo-based wind friction velocity and estimate sediment transport. Journal of Geophysical Research: Atmospheres 129(4), article number: e2023JD040313. (10.1029/2023JD040313)
- Hennen, M. et al. 2023. A new framework for evaluating dust emission model development using dichotomous satellite observations of dust emission. Science of the Total Environment, article number: 169237. (10.1016/j.scitotenv.2023.169237)
- Yu, H. et al. 2023. Novel sediment source fingerprinting quantifying erosion-induced total nitrogen and total phosphorus outputs from an intensive agricultural catchment, North China. International Soil and Water Conservation Research 11(3), pp. 494-506. (10.1016/j.iswcr.2022.10.006)
- Chappell, A. et al. 2023. Elucidating hidden and enduring weaknesses in dust emission modelling. Journal of Geophysical Research: Atmospheres 128(17), article number: e2023JD038584. (10.1029/2023JD038584)
- Chappell, A. et al. 2023. Satellites reveal Earth's seasonally shifting dust emission sources. Science of the Total Environment 883, article number: 163452. (10.1016/j.scitotenv.2023.163452)
- Hennen, M., Chappell, A. and Webb, N. P. 2023. Modelled direct causes of dust emission change (2001?2020) in southwestern USA and implications for management. Aeolian Research: An International Journal on Wind Erosion Research 60, article number: 100852. (10.1016/j.aeolia.2022.100852)
- Zheng, G. et al. 2022. Rapid urbanization induced daily maximum wind speed decline in metropolitan areas: a case study in the Yangtze River Delta (China). Urban Climate 43, article number: 101147. (10.1016/j.uclim.2022.101147)
- Hennen, M. et al. 2022. A North American dust emission climatology (2001–2020) calibrated to dust point sources from satellite observations. Aeolian Research 54, article number: 100766. (10.1016/j.aeolia.2021.100766)
- Fan, W. et al. 2021. Evaluation of global reanalysis land surface wind speed trends to support wind energy development using in situ observations. Journal of Applied Meteorology and Climatology 60(1), pp. 33-50. (10.1175/JAMC-D-20-0037.1)
- Ziegler, N. P., Webb, N. P., Chappell, A. and LeGrand, S. L. 2020. Scale‐invariance of albedo‐based wind friction velocity. Journal of Geophysical Research: Atmospheres 125(16), article number: e2019JD031978. (10.1029/2019JD031978)
- Webb, N. P. et al. 2020. Indicators and benchmarks for wind erosion monitoring, assessment and management. Ecological Indicators 110, article number: 105881. (10.1016/j.ecolind.2019.105881)
- Webb, N. P., Chappell, A., LeGrand, S. L., Ziegler, N. P. and Edwards, B. L. 2020. A note on the use of drag partition in aeolian transport models. Aeolian Research 42, article number: 100560. (10.1016/j.aeolia.2019.100560)
- Zeng, Z. et al. 2019. A reversal in global terrestrial stilling and its implications for wind energy production. Nature Climate Change 9(12), pp. 979-985. (10.1038/s41558-019-0622-6)
- Webb, N. P. et al. 2019. Reducing sampling uncertainty in aeolian research to improve change detection. Journal of Geophysical Research. Earth Surface 124(6), pp. 1366-1377. (10.1029/2019JF005042)
- Chappell, A., Webb, N. P., Leys, J. F., Waters, C., Orgill, S. and Eyres, M. 2019. Minimising soil organic carbon erosion by wind is critical for land degradation neutrality. Environmental Science and Policy 93 (10.1016/j.envsci.2018.12.020)
- Teng, H. et al. 2018. Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models. Science of the Total Environment 635, pp. 673-686. (10.1016/j.scitotenv.2018.04.146)
- Chappell, A. et al. 2018. Improving ground cover monitoring for wind erosion assessment using MODIS BRDF parameters. Remote Sensing of Environment 204, pp. 756-768. (10.1016/j.rse.2017.09.026)
- Teng, H., Ma, Z., Chappell, A., Shi, Z., Liang, Z. and Yu, W. 2017. Improving rainfall erosivity estimates using merged TRMM and gauge data. Remote Sensing 9(11), article number: 1134. (10.3390/rs9111134)
- Geng, Y., Yu, H., Li, Y., Tarafder, M., Tian, G. and Chappell, A. 2017. Traditional manual tillage significantly affects soil redistribution and CO2 emission in agricultural plots on the Loess Plateau. Soil Research 56(2), pp. 171-181. (10.1071/SR16157)
- Webb, N. P., Marshall, N. A., Stringer, L. C., Reed, M. S., Chappell, A. and Herrick, J. E. 2017. Land degradation and climate change: building climate resilience in agriculture. Frontiers in Ecology and the Environment 15(8), pp. 450-459. (10.1002/fee.1530)
- Webb, N. P. et al. 2017. Enhancing wind erosion monitoring and assessment for U.S. rangelands. Rangelands 39(3-4), pp. 85-96. (10.1016/j.rala.2017.04.001)
- Van Pelt, R. S., Hushmurodov, S. X., Baumhardt, R. L., Chappell, A., Nearing, M. A., Polyakov, V. O. and Strack, J. E. 2017. The reduction of partitioned wind and water erosion by conservation agriculture. CATENA 148, pp. 160-167. (10.1016/j.catena.2016.07.004)
- Chappell, A. and Webb, N. P. 2016. Using albedo to reform wind erosion modelling, mapping and monitoring. Aeolian Research 23, pp. 63-78. (10.1016/j.aeolia.2016.09.006)
- Chappell, A. and Baldock, J. A. 2016. Wind erosion reduces soil organic carbon sequestration falsely indicating ineffective management practices. Aeolian Research 22, pp. 107-116. (10.1016/j.aeolia.2016.07.005)
- Yu, H., Li, Y., Zhou, N., Chappell, A., LI, X. and Poesen, J. 2016. Soil nutrient loss due to tuber crop harvesting and its environmental impact in the North China Plain. Journal of Integrative Agriculture 15(7), pp. 1612-1624. (10.1016/S2095-3119(15)61268-0)
- Yue, Y. et al. 2016. Lateral transport of soil carbon and land-atmosphere CO2 flux induced by water erosion in China. Proceedings of the National Academy of Sciences 113(24), pp. 6617-6622. (10.1073/pnas.1523358113)
- Viscarra Rossel, R. A. et al. 2016. A global spectral library to characterize the world's soil. Earth-Science Reviews 155, pp. 198-230. (10.1016/j.earscirev.2016.01.012)
- Teng, H., Viscarra Rossel, R. A., Shi, Z., Behrens, T., Chappell, A. and Bui, E. 2016. Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling and Software 77, pp. 156-167. (10.1016/j.envsoft.2015.11.024)
- Chappell, A., Baldock, J. and Sanderman, J. 2016. The global significance of omitting soil erosion from soil organic carbon cycling schemes. Nature Climate Change 6(2), pp. 187-191. (10.1038/nclimate2829)
- Luo, Y. et al. 2016. Toward more realistic projections of soil carbon dynamics by Earth system models. Global Biogeochemical Cycles 30(1), pp. 40-56. (10.1002/2015GB005239)
- Shao, Y. et al. 2015. A tribute to Michael R. Raupach for contributions to aeolian fluid dynamics. Aeolian Research 19, pp. 37-54. (10.1016/j.aeolia.2015.09.004)
- Wang, R. et al. 2015. Sources, transport and deposition of iron in the global atmosphere. Atmospheric Chemistry and Physics 15(11), pp. 6247-6270. (10.5194/acp-15-6247-2015)
- Chappell, A., Li, Y., Yu, H., Zhang, Y. and Li, X. 2015. Cost-effective sampling of 137 Cs-derived net soil redistribution: part 2 – estimating the spatial mean change over time. Journal of Environmental Radioactivity 144, pp. 168-174. (10.1016/j.jenvrad.2015.02.015)
- Bui, E., Chappell, A., Kelly, T. and McTainsh, G. 2015. Linked fluvial and aeolian processes fertilize Australian bioregions. Aeolian Research 17, pp. 255-262. (10.1016/j.aeolia.2014.12.001)
- Koch, A., Chappell, A., Eyres, M. and Scott, E. 2015. Monitor soil degradation or triage for soil security? An Australian challenge. Sustainability 7(5), pp. 4870-4892. (10.3390/su7054870)
- Li, Y., Chappell, A., Nyamdavaa, B., Yu, H., Davaasuren, D. and Zoljargal, K. 2015. Cost-effective sampling of 137Cs-derived net soil redistribution: part 1- estimating the spatial mean across scales of variation. Journal of Environmental Radioactivity 141, pp. 97-105. (10.1016/j.jenvrad.2014.12.007)
- Chappell, A., Webb, N. P., Viscarra Rossel, R. A. and Bui, E. 2014. Australian net (1950s–1990) soil organic carbon erosion: implications for CO2 emission and land–atmosphere modelling. Biogeosciences 11(18), pp. 5235-5244. (10.5194/bg-11-5235-2014)
- Li, Y., Yu, H., Chappell, A., Zhou, N. and Funk, R. 2014. How much soil organic carbon sequestration is due to conservation agriculture reducing soil erosion?. Soil Research 52(7), pp. 717-726. (10.1071/SR14078)
- Chappell, A., Webb, N. P., Butler, H. J., Strong, C. L., McTainsh, G. H., Leys, J. F. and Viscarra Rossel, R. A. 2013. Soil organic carbon dust emission: an omitted global source of atmospheric CO2. Global Change Biology 19(10), pp. 3238-3244. (10.1111/gcb.12305)
- Chappell, A., Renzullo, L. J., Raupach, T. H. and Haylock, M. 2013. Evaluating geostatistical methods of blending satellite and gauge data to estimate near real-time daily rainfall for Australia. Journal of Hydrology 493, pp. 105-114. (10.1016/j.jhydrol.2013.04.024)
- Webb, N. P., Strong, C. L., Chappell, A., Marx, S. K. and McTainsh, G. H. 2013. Soil organic carbon enrichment of dust emissions: magnitude, mechanisms and its implications for the carbon cycle. Earth Surface Processes and Landforms 38(14), pp. 1662-1671. (10.1002/esp.3404)
- Chappell, A. and Viscarra Rossel, R. A. 2013. The importance of sampling support for explaining change in soil organic carbon. Geoderma 193-19, pp. 323-325. (10.1016/j.geoderma.2012.09.011)
- Sanderman, J. and Chappell, A. 2013. Uncertainty in soil carbon accounting due to unrecognized soil erosion. Global Change Biology 19(1), pp. 264-272. (10.1111/gcb.12030)
- Favet, J. et al. 2012. Microbial hitchhikers on intercontinental dust: catching a lift in Chad. ISME Journal 7(4), pp. 850-867. (10.1038/ismej.2012.152)
- Shao, Y. et al. 2011. Dust cycle: An emerging core theme in Earth system science. Aeolian Research 2(4), pp. 181-204. (10.1016/j.aeolia.2011.02.001)
- Ekstrom, M., Kyriakidis, P. C., Chappell, A. and Jones, P. D. 2007. Spatiotemporal stochastic simulation of monthly rainfall patterns in the United Kingdom (1980-87). Journal of Climate 20(16), pp. 4194-4210. (10.1175/JCLI4233.1)
- Chappell, A. 2007. Using teaching observations and reflective practice to challenge conventions and conceptions of teaching in geography. Journal of Geography in Higher Education 31(2), pp. 257-268. (10.1080/03098260601063651)
- Chappell, A., Zobeck, T. M. and Brunner, G. 2006. Using bi-directional soil spectral reflectance to model soil surface changes induced by rainfall and wind-tunnel abrasion. Remote Sensing of Environment 102(3-4), pp. 328-343. (10.1016/j.rse.2006.02.020)
- Chappell, A. 2006. Using the 'grieving' process and learning journals to evaluate students' responses to problem-based learning in an undergraduate geography curriculum. Journal of Geography in Higher Education 30(1), pp. 15-31. (10.1080/03098260500499584)
- Chappell, A. 2001. Challenging the teaching convention in geography using problem-based learning: The role of reflective practice in supporting change. Planet 4(1), pp. 18-22. (10.11120/plan.2001.00040018)
- Chappell, A. 1999. The limitations of using 137Cs for estimating soil redistribution in semi-arid environments. Geomorphology 29(1-2), pp. 135-152. (10.1016/S0169-555X(99)00011-2)
Book sections
- Steiner, J. L. et al. 2023. Chapter 3 - Distinctive Dryland Soil Carbon Transformations. In: Lal, R. ed. Soil and Drought - Basic Processes. Advances in Soil Sciences Boca Raton, FL: CRC Press, pp. 39-82., (10.1201/b22954)
Research
My current research is on wind erosion and dust emission and particularly representing these processes in land surface models (LSMs) to improve regional and global carbon (C), dust (D), energy (E) and water (W) cycles for CO2 emission and human impact on global climate change.
Teaching
I am a geographer specialising in geomorphology and particularly drylands. In the existing programmes of Environmental Geography and Physical Geography I currently support the modules of
Year 1 - GIS and Field Skills
Year 2 - Remote Sensing and Geospatial Analysis (with Niels Andela)
Year 3 - Environmental Case Studies (with Pan He) and contribute to Dissertation supervision
and I am preparing for the new programme BSc Environmental Sustainability Science due to commence Sep 2021, the UK's first predominantly problem-based learning programme in Geography Earth and Environmental Science (GEES).
Biography
- Professor in Climate Change Impacts – School of Earth and Environmental Sciences, Cardiff University (2020-present)
- Reader in Climate Change Impacts – School of Earth, Cardiff University (2017- 2020)
- Principal Research Scientist in Land Surface Processes – Land & Water, CSIRO, Canberra Australia (2009-2017)
- Senior Lecturer in Physical Geography – School of Environment and Life Sciences, University of Salford (1998-2007)
- Postdoctoral Fellow 'Wind Erosion on European Light Soils (WEELS)' – Department of Geography, University College London (1996-1998)
- Postdoctoral Fellow 'West African Sahelian fluxes' – Department of Physical Geography, University of Lund, Sweden (1995-1996)
- PhD – Department of Geography, University College London (1995)
- BSc Geography – University of Coventry (1991)
Honours and awards
- Fellowship, The Leverhulme Trust, Modelling-space-time variation in wind erosion
Professional memberships
- Editor-in-chief Elsevier journal Aeolian Research
- President of the International Society of Aeolian Research
Academic positions
- Principal Scientist CSIRO, Canberra Australia
- Senior Lecturer, University of Salford, Manchester, UK
Committees and reviewing
Sep 2019 - present: UK Natural Environmental Research Council (NERC) Advisory Network member contributing to guidance on strategy and policy of interdisciplinary and cross-sector research.
Sep 2019 - present: UK Research Excellence Framework (REF) reviewer of research outputs for School of Earth & Ocean Sciences, Cardiff University
Supervisions
Terrestrial mineral dust emission has a profound and pervasive impact on Earth’s systems and future climate projections. However, its net global impact (cooling or warming) is still debated and dust load ranges from 10-60% of dust emissions. The uncertainty in net global impact is caused by the sensitivity of global dust emission schemes (GDESs) to land surface dynamics of natural variation and anthropogenic disturbance. The GDESs unrealistically assume: i) the land surface is homogeneous over cover types and static over time; ii) soil surfaces have an infinite supply of loose erodible material. The reality is that land use, land cover and land management has changed considerably since e.g., the onset of agriculture and that the supply of erodible material at the soil surface is limited by physical, chemical or biological crusts and seals. The existing GDEs are coupled to global climate models but paradoxically dust emission and the feedback and interactions in the terrestrial ecosystem are omitted from Earth System Models (ESM). Consequently, ESM outcomes are very likely to be more uncertain than currently recognised, particularly in drylands highly susceptible to wind erosion and dust emission.
Project Aims and Methods
A recently developed global dust emission scheme (GDEs) has introduced land surface dynamics and the new approach offers considerable potential for developing a first approximation for the supply-limitation of dust emission. The first stage of the project is to develop that supply-limited parameterisation and to demonstrate the impact that this new approach has on GDEs. The second stage of the project will be to introduce the GDEs in to an Earth System Model and to progressively develop the feedback and interactions of wind erosion and dust emission on the terrestrial ecosystem. For example, we expect that the loss of soil by wind erosion and dust emission will remove preferentially soil nutrients and soil organic carbon, change the soil fertility, lower the soil surface and change the soil profile, change the soil surface albedo, the infiltration rate and moisture holding capacity and influence vegetation and crop productivity. With the implementation in the ESM of these feedbacks and interactions we then intend to investigate the impact of change in land cover / use / management and subsequently understand the significance of feedback and interactions in fully-coupled climate change projections.
Candidate Requirements
We are looking for someone with an interest in cutting across traditional discipline boundaries of remote sensing, soil geomorphology and climate change and who has a demonstrated ability to develop computer code.
Training
The student will work closely with the lead supervisor to develop the supply-limited parameterisation. This stage will be used to train in computer code and algorithm development and to balance the fidelity of process representation with the necessary parsimony for the large-scale modelling. We anticipate that the student will work with our existing overseas collaborators for model development and verification using field measurements and dust source verification from satellite remote sensing.
Chappell, A. et al. (2017) Improving ground cover monitoring for wind erosion assessment using lateral cover derived from MODIS BRDF parameters. Rem. Sens. Environment, 204: 756-768.
Chappell, A. and Webb, N (2016) Using albedo to reform wind erosion modelling, mapping and monitoring. Aeolian Research 23, 63–78.
Darmenova, K. et al. (2009) Development of a physically based dust emission module within the Weather Research and Forecasting (WRF) model: Assessment of dust emission parameterizations and input parameters for source regions in Central and East Asia. J. Geoph. Res. 114(D14201).
Webb NP et al. (2017) Enhancing Wind Erosion Monitoring and Assessment for U.S. Rangelands. Rangelands, 39: 85-96.
Impact
Supporting the reduction of road traffic accidents due to dust storm reduced visibility with the implementation of a new dust emission model
Supporting air quality (particulate matter < 10 microns; PM10) modelling across the USA and New South Wales, Australia with the implementation of a new dust emission model.
Contact Details
+44 29208 70642
Main Building, Room Room 1.16A, Park Place, Cardiff, CF10 3AT