Pan, Y.; Yuan, Q.; Ma, J.; Wang, L.
Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China. Int. J. Environ. Res. Public Health 2022, 19, 13866.
https://doi.org/10.3390/ijerph192113866
AMA Style
Pan Y, Yuan Q, Ma J, Wang L.
Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China. International Journal of Environmental Research and Public Health. 2022; 19(21):13866.
https://doi.org/10.3390/ijerph192113866
Chicago/Turabian Style
Pan, Yi, Qiqi Yuan, Jinsong Ma, and Lachun Wang.
2022. "Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China" International Journal of Environmental Research and Public Health 19, no. 21: 13866.
https://doi.org/10.3390/ijerph192113866
APA Style
Pan, Y., Yuan, Q., Ma, J., & Wang, L.
(2022). Improved Daily Spatial Precipitation Estimation by Merging Multi-Source Precipitation Data Based on the Geographically Weighted Regression Method: A Case Study of Taihu Lake Basin, China. International Journal of Environmental Research and Public Health, 19(21), 13866.
https://doi.org/10.3390/ijerph192113866