【发布时间】:2020-11-18 05:02:21
【问题描述】:
我正在尝试使用 netCDF4 包从 R 中的 a global climate model 读取/绘制每月海底温度数据,但遇到了经度数据显示不正确的障碍。我检查了 Panoply 中的数据,它在那里完美地绘制,但是当我在 R 中绘制它时,经度不正确:
我尝试旋转和转置数据无济于事,因此非常感谢您的解决方案。我正在使用的代码如下。谢谢。
nc_data <- nc_open("tob_Omon_MPI-ESM1-2-HR_ssp126_r1i1p1f1_gn_201501-201912.nc")
# Save the print(nc) dump to a text file
{
sink('tob_Omon_MPI-ESM1-2-HR_ssp126_r1i1p1f1_gn_201501-201912_metadata.txt')
print(nc_data)
sink()
}
lon <- ncvar_get(nc_data, "longitude", verbose = F)
lon[lon > 180] <- lon[lon > 180] - 360
range(lon)
lat <- ncvar_get(nc_data, "latitude", verbose = F)
range(lat)
t <- ncvar_get(nc_data, "time")
tob.array <- ncvar_get(nc_data, "tob") # store the data in a 3-dimensional array
dim(tob.array)
fillvalue <- ncatt_get(nc_data, "tob", "_FillValue")
fillvalue
tob.array[tob.array == fillvalue$value] <- NA # change NA values to the standard 'NA'
tob.2015 <- tob.array[,,1:12] # subset of 2015 data
# convert 2015 to raster brick
brick_2015 <- brick(tob.2015, xmn=min(lon), xmx=max(lon), ymn=min(lat), ymx=max(lat), crs=CRS("+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs+ towgs84=0,0,0"))
plot(brick_2015) # inspect
brick_2015 <- (t(brick_2015)) # transpose
plot(brick_2015) # inspect
mean.2015 <- calc(brick_2015, mean) # save as one raster object
plot(mean.2015)
【问题讨论】: