Your search found 3 records
1 Lin, S.; Dittert, K.; Tao, H.; Kreye, C.; Xu, Y.; Shen, Q.; Fan, X.; Sattelmacher, B. 2002. The ground-cover rice production system (GCRPS): a successful new approach to save water and increase nitrogen fertilizer efficiency? In Bouman, B. A. M.; Hengsdijk, H.; Hardy, B.; Bindraban, P. S.; Tuong, T. P.; Ladha, J. K. (Eds.), Water-wise rice production. Los Baños, Philippines: International Rice Research Institute (IRRI). pp.187-195.
Rice ; Nitrogen ; Fertilizers ; Water balance ; Water use efficiency / China / Beijing / Nanjing / Guangzhou
(Location: IWMI-HQ Call no: 631.7.2 G000 BOU Record No: H032428)
(3 MB)
2 Fan, X.; Miao, C.; Duan, Q.; Shen, C.; Wu, Y. 2021. Future climate change hotspots under different 21st century warming scenarios. Earth’s Future, 9(6):e2021EF002027. [doi: https://doi.org/10.1029/2021EF002027]
Climate change ; Forecasting ; Global warming ; Extreme weather events ; Precipitation ; Temperature ; Emission ; Models ; Uncertainty ; Indicators / Central Africa / West Africa / Southern Africa / Central America / Arctic Region / Indonesia / Tibetan Plateau / Amazon
(Location: IWMI HQ Call no: e-copy only Record No: H050397)
https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2021EF002027
https://vlibrary.iwmi.org/pdf/H050397.pdf
https://vlibrary.iwmi.org/pdf/H050397.pdf
(4.65 MB) (4.65 MB)
Identifying climate change hotspot regions is critical for planning effective mitigation and adaptation activities. We use standard Euclidean distance (SED) to calculate integrated changes in precipitation and temperature means, interannual variability, and extremes between different future warming levels and a baseline period (1995–2014) using the Coupled Model Intercomparison Project Phase 6 (CMIP6) climate model ensemble. We find consistent hotspots in the Amazon, central and western Africa, Indonesia and the Tibetan Plateau at warming levels of 1.5 °C, 2 °C and 3 °C for all scenarios explored; the Arctic, Central America and southern Africa emerge as hotspots at 4 °C warming and at the end of the 21st century under two Shared Socioeconomic Pathways scenarios, SSP3-7.0 and SSP5-8.5. CMIP6 models show higher SED values than CMIP5, suggesting stronger aggregated effects of climate change under the new scenarios. Hotspot time of emergence (TOE) is further investigated; TOE is defined as the year when the climate change signal first exceeds the noise of natural variability in 21st century projections. The results indicate that TOEs for warming would occur over all primary hotspots, with the earliest occurring in the Arctic and Indonesia. For precipitation, TOEs occur before 2100 in the Arctic, the Tibetan Plateau and Central America. Results using a geographical detector model show that patterns of SED are shaped by extreme hot and dry occurrences at low-to-medium warming, while precipitation and temperature means and extreme precipitation occurrences are the dominant influences under the high emission scenario and at high warming levels.
3 Liu, Y.; Liu, Y.; Wang, W.; Fan, X.; Cui, W. 2022. Soil moisture droughts in East Africa: spatiotemporal patterns and climate drivers. Journal of Hydrology: Regional Studies, 40:101013. [doi: https://doi.org/10.1016/j.ejrh.2022.101013]
Soil moisture ; Drought ; Spatial distribution ; Climate change ; Precipitation ; Evapotranspiration ; Air temperature ; Rain ; Forecasting ; Remote sensing ; Datasets / East Africa / Sudan / Ethiopia / Somalia / Uganda / Kenya / United Republic of Tanzania / Burundi
(Location: IWMI HQ Call no: e-copy only Record No: H050997)
https://www.sciencedirect.com/science/article/pii/S221458182200026X/pdfft?md5=b96959552f701dd770e537a59907b2bd&pid=1-s2.0-S221458182200026X-main.pdf
https://vlibrary.iwmi.org/pdf/H050997.pdf
https://vlibrary.iwmi.org/pdf/H050997.pdf
(14.90 MB) (14.9 MB)
Study region: East Africa (EA).
Study focus: The current poor capability of drought resistance and the high dependence of local residents on agriculture and animal husbandry initiated a comprehensive understanding of soil moisture (SM) droughts in EA. Previous lower-order subspace drought investigations that have neglected the space–time continuity of actual droughts hindered deeper knowledge of droughts. To fill this gap, this study investigated the SM droughts in EA from a space–time joint perspective, focusing on drought spatiotemporal patterns and variations, and climate drivers.
New hydrological insights for the region: Based on the space–time joint approach, 582 drought clusters and 226 events over 1979–2014 were identified. Spatially, historical droughts presented a dual-centre pattern in the northwest and southeast; they were characterised by high frequency, long duration, and large severity, driven by the climate forcing of precipitation (Prep) and temperature (Temp). This pattern differed seasonally due to the major control of Prep and the partly strengthening effect of Temp. Temporally, seasonal droughts displayed significant (p < 0.05) increasing/decreasing trends in summer/autumn. Regarding the climate drivers, the partial least squares regression approach was first employed in the space–time continuous drought domain. The innovative method clarified the contribution of different climate elements to SM droughts and recognised the critical climate drivers of Prep, wind speed, and downward radiation. The results provides important implications for drought mechanism exploration and drought prediction.
Study focus: The current poor capability of drought resistance and the high dependence of local residents on agriculture and animal husbandry initiated a comprehensive understanding of soil moisture (SM) droughts in EA. Previous lower-order subspace drought investigations that have neglected the space–time continuity of actual droughts hindered deeper knowledge of droughts. To fill this gap, this study investigated the SM droughts in EA from a space–time joint perspective, focusing on drought spatiotemporal patterns and variations, and climate drivers.
New hydrological insights for the region: Based on the space–time joint approach, 582 drought clusters and 226 events over 1979–2014 were identified. Spatially, historical droughts presented a dual-centre pattern in the northwest and southeast; they were characterised by high frequency, long duration, and large severity, driven by the climate forcing of precipitation (Prep) and temperature (Temp). This pattern differed seasonally due to the major control of Prep and the partly strengthening effect of Temp. Temporally, seasonal droughts displayed significant (p < 0.05) increasing/decreasing trends in summer/autumn. Regarding the climate drivers, the partial least squares regression approach was first employed in the space–time continuous drought domain. The innovative method clarified the contribution of different climate elements to SM droughts and recognised the critical climate drivers of Prep, wind speed, and downward radiation. The results provides important implications for drought mechanism exploration and drought prediction.
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