Работы, цитирующие эту работу

Работ: 6

Работа: Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia

1. Projected dry/wet regimes in China using <scp>SPEI</scp> under four <scp>SSP‐RCPs</scp> based on statistically downscaled <scp>CMIP6</scp> data

   Xinguo Chen, Yi Li, Ning Yao +7

   СтатьяClimate variability and modelsInternational Journal of Climatology2022Цитирований: 3

   ABIABI:AkademIndex/openalex/2026.other.068919

2. Projection of precipitation extremes in China's mainland based on the statistical downscaled data from 27 GCMs in CMIP6

   Lei Wang, Yi Li, Min Li +4

   СтатьяClimate variability and modelsAtmospheric Research2022Цитирований: 1

   ABIABI:AkademIndex/openalex/2022.article.000098

3. Cotton yield responses to climate change and adaptability of sowing date simulated by AquaCrop model

   Yi Li, Na Li, Tehseen Javed +2

   СтатьяClimate change impacts on agricultureIndustrial Crops and Products2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.article.000312

4. Impact of climate change and planting date shifts on growth and yields of double cropping rice in southeastern China in future

   Ziya Zhang, Yi Li, Xinguo Chen +7

   СтатьяClimate change impacts on agricultureAgricultural Systems2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.000084

5. Concurrent drought threatens wheat and maize production and will widen crop yield gaps in the future

   Miaolei Hou, Yi Li, Asim Biswas +9

   СтатьяClimate change impacts on agricultureAgricultural Systems2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000073

6. Concurrent Drought Threaten Wheat and Maize Production and Widen Crop Yield Gaps in the Future

   Miaolei Hou, Asim Biswas, Xinguo Chen +9

   ПрепринтRice Cultivation and Yield ImprovementSSRN Electronic Journal2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.preprint.000126