MLprcp_INPUTS.md

library(magrittr)
load("./China_MLprcp_INPUTS_1deg_v010.rda")

输入数据

X_climate: 130个气候因子

str(X_climate) %>% print()

##  num [1:58, 1:6914] 0 0 0 0.89 0 0 0 0 0 0 ...
##  - attr(*, "dimnames")=List of 2
##   ..$ : chr [1:58] "1961" "1962" "1963" "1964" ...
##   ..$ : chr [1:6914] "X1-month_pre:00" "X1-month_pre:01" "X1-month_pre:02" "X1-month_pre:03" ...
## NULL

X_prcp: 前两年降水输入，dim = [n_year, n_variable, n_grid]

str(X_prcp) %>% print()

##  num [1:58, 1:56, 1:918] 7.42 3.86 4.33 6.02 9.72 ...
##  - attr(*, "dimnames")=List of 3
##   ..$ : chr [1:58] "1961" "1962" "1963" "1964" ...
##   ..$ : chr [1:56] "prcp-month_pre:00" "prcp-month_pre:01" "prcp-month_pre:02" "prcp-month_pre:03" ...
##   ..$ : NULL
## NULL

Y_prcp: 因变量，每年的夏季降水

str(Y_prcp) %>% print()

##  num [1:918, 1:58] 56.41 22.15 33.26 26.84 9.54 ...
## NULL

print(d_loc)

##        lon  lat  alt
##   1:  73.5 39.5 4403
##   2:  74.5 39.5 3861
##   3:  74.5 38.5 4242
##   4:  74.5 37.5 4588
##   5:  75.5 39.5 2089
##  ---                
## 914: 130.5 45.5  278
## 915: 131.5 47.5   63
## 916: 131.5 46.5   93
## 917: 132.5 47.5   62
## 918: 132.5 46.5   72