博文
- Modis LAI for Africa
- 热度 1
- tar -xvf global_30s_2000.tar tar -xvf global_30s_2001.tar tar -xvf global_30s_2002.tar tar -xvf global_30s_2003.tar tar -xvf global_30s_2004.tar tar -xvf global_30s_2005.tar tar -xvf global_30s_2006.tar tar -xvf global_30s_2007.tar tar -xvf global_30s_2008.tar tar -xvf global_30s_2009.tar ...
- remapping gap-filled 30-year ECV satellite soil moisture
- cat mygrid EOF gridtype = lonlat xsize = 720 ysize = 360 xfirst = -179.75 xinc = 0.5 yfirst = -89.75 yinc = 0.5 EOF cdo remapbil,mygrid ECV19811990.nc ECV_19811990.nc cdo remapbil,mygrid ECV19912000.nc ECV_19912000.nc ...
- remapping ERA_land soil moisture reanalysis
- # mygrid cat mygrid EOF gridtype = lonlat xsize = 720 ysize = 360 xfirst = -179.75 xinc = 0.5 yfirst = -89.75 yinc = 0.5 EOF cdo remapbil,mygrid sm_ly1_19811990.nc ERA_land_ly1_19811990.nc cdo remapbil,mygrid sm_ly1_19 ...
- For processing CMIP5/IPCC AR5 data
- 热度 1
- Datasets: EC-Earth historical (1850-2005) and scenario (up to 2100) runs for CMIP5/IPCC AR5. Temporal resolution: 3 hours, chunked month by month. Objective: to merge the chunked files and make daily means for analyzing the land-atmosphere interactions. First, build a job script by: ...
