42 citations as recorded by crossref.

1. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China Z. Li et al. 10.1016/j.wace.2022.100503
2. Extreme weather events cause significant crop yield losses at the farm level in German agriculture J. Schmitt et al. 10.1016/j.foodpol.2022.102359
3. Drought–heatwave nexus in Brazil and related impacts on health and fires: A comprehensive review R. Libonati et al. 10.1111/nyas.14887
4. Valuation in Agricultural Commodity Markets Under a Changing Climate M. Cornejo et al. 10.2139/ssrn.4514667
5. A standardized index for assessing sub-monthly compound dry and hot conditions with application in China J. Li et al. 10.5194/hess-25-1587-2021
6. Compound heat and moisture extreme impacts on global crop yields under climate change C. Lesk et al. 10.1038/s43017-022-00368-8
7. Global drivers of local water stresses and global responses to local water policies in the United States I. Haqiqi et al. 10.1088/1748-9326/acd269
8. Temperature effects on crop yields in heat index insurance J. Bucheli et al. 10.1016/j.foodpol.2021.102214
9. Enhancing Maize Yield Simulations in Regional China Using Machine Learning and Multi-Data Resources Y. Zou et al. 10.3390/rs16040701
10. Drought- and heatwave-associated compound extremes: A review of hotspots, variables, parameters, drivers, impacts, and analysis frameworks M. Afroz et al. 10.3389/feart.2022.914437
11. Compound Extremes of Air Temperature and Precipitation in Eastern Europe E. Vyshkvarkova & O. Sukhonos 10.3390/cli10090133
12. The new Malthusian challenge in the Sahel: prospects for improving food security in Niger K. Kabir et al. 10.1007/s12571-022-01319-3
13. Local, regional, and global adaptations to a compound pandemic-weather stress event I. Haqiqi et al. 10.1088/1748-9326/acbbe3
14. Increasing Risks of Future Compound Climate Extremes With Warming Over Global Land Masses H. Wu et al. 10.1029/2022EF003466
15. Statistically bias-corrected and downscaled climate models underestimate the adverse effects of extreme heat on U.S. maize yields D. Lafferty et al. 10.1038/s43247-021-00266-9
16. Population exposure to compound extreme events in India under different emission and population scenarios J. Das et al. 10.1016/j.scitotenv.2021.150424
17. Global drought risk in cities: present and future urban hotspots T. Stolte et al. 10.1088/2515-7620/ad0210
18. Hydro-climatic extremes in a medium range River Basin in western Nepal: Learning from analysis of observed data A. Aryal et al. 10.1007/s00477-023-02552-8
19. US crop yield losses from hydroclimatic hazards E. Choi et al. 10.1088/1748-9326/ad0c87
20. Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. 10.1007/s00704-024-04894-x
21. When the virtual water runs out: local and global responses to addressing unsustainable groundwater consumption I. Haqiqi et al. 10.1080/02508060.2023.2131272
22. Weather insurance in European crop and horticulture production J. Bucheli et al. 10.1016/j.crm.2023.100525
23. Impacts of compound hot–dry extremes on US soybean yields R. Hamed et al. 10.5194/esd-12-1371-2021
24. Bayesian Spatial Models for Projecting Corn Yields S. Roth et al. 10.3390/rs16010069
25. Heterogeneous impacts of excessive wetness on maize yields in China: Evidence from statistical yields and process-based crop models W. Liu et al. 10.1016/j.agrformet.2022.109205
26. Connection of Compound Extremes of Air Temperature and Precipitation with Atmospheric Circulation Patterns in Eastern Europe O. Sukhonos & E. Vyshkvarkova 10.3390/cli11050098
27. Spatiotemporal Characteristics and Hazard Assessments of Maize (Zea mays L.) Drought and Waterlogging: A Case Study in Songliao Plain of China R. Wang et al. 10.3390/rs15030665
28. Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems V. Srikrishnan et al. 10.1029/2021EF002644
29. Labor markets: A critical link between global-local shocks and their impact on agriculture S. Ray et al. 10.1088/1748-9326/acb1c9
30. Is Physical Climate Risk Priced? Evidence from Regional Variation in Exposure to Heat Stress V. Acharya et al. 10.2139/ssrn.4176416
31. Water balance model (WBM) v.1.0.0: a scalable gridded global hydrologic model with water-tracking functionality D. Grogan et al. 10.5194/gmd-15-7287-2022
32. Quantifying hazard of drought and heat compound extreme events during maize (Zea mays L.) growing season using Magnitude Index and Copula Y. Guo et al. 10.1016/j.wace.2023.100566
33. Projected Increase in Compound Drought and Hot Days over Global Maize Areas under Global Warming Y. He et al. 10.3390/w16040621
34. Land–atmosphere coupling exacerbates the moisture-associated heterogeneous impacts of compound extreme events on maize yield in China Z. Li et al. 10.1088/2752-5295/ad34a7
35. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
36. Changes in Temperature‐Precipitation Compound Extreme Events in China During the Past 119 Years T. Peng et al. 10.1029/2022EA002777
37. Regional and elevational patterns of extreme heat stress change in the US C. Raymond et al. 10.1088/1748-9326/ac7343
38. Impacts of climate change on winter wheat and summer maize dual-cropping system in the North China Plain J. Li & H. Lei 10.1088/2515-7620/ac814c
39. A vulnerability index for priority targeting of agricultural crops under a changing climate C. Turvey et al. 10.1007/s10584-021-03135-8
40. Multiple Hazard Uncertainty Visualization Challenges and Paths Forward L. Padilla et al. 10.3389/fpsyg.2021.579207
41. Compound Hydrometeorological Extremes: Drivers, Mechanisms and Methods W. Zhang et al. 10.3389/feart.2021.673495
42. Particle Size Distribution and Composition of Soil Sample Analysis in a Single Pumping Well Using a Scanning Electron Microscope Coupled with an Energy Dispersive X-ray (SEM-EDX) and the Laser Diffraction Method (LDM) N. Akhtar et al. 10.3390/w15173109