five

Forest fraction in an ensemble of the climate model FAMOUS

收藏
NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/Forest_fraction_in_an_ensemble_of_the_climate_model_FAMOUS/4244561
下载链接
链接失效反馈
官方服务:
资源简介:
Data for “The impact of structural error on parameter constraint in a climate model” by Doug McNeall, Jonny Williams, Ben Booth, Richard Betts, Peter Challenor, Andy Wiltshire, and David Sexton. Published in Earth System Dynamics, 2016contact dougmcneall@gmail.com The R data file “famous_forest_fraction.RData” contains a number of R objects: full_frac         Data frame containing 100 ensemble members of FAMOUS. Unique model run ID, input parameters and aggregated forest fractionbl.frac.ens       Global broadleaf tree grid box forest fraction, rows match the rows of full_frac, columns are lats x longs of the model grid (by lats)nl.frac.ens       Global needleleaf tree grid box forest fraction, rows match the rows of full_frac, columns are lats x longs of the model grid (by lats)lats              Latitudes for FAMOUS model gridlongs             Longitudes for FAMOUS model gridobs               Aggregated “Observations” of forest fractionX.standard        Standard or default parameters for FAMOUS land surface Useful functions: remap.famous = function(dat,longs,lats, shift = FALSE){  # reshape a map in vector form so that fields() package function image.plot()   #  (for example) will plot it correctly  mat = matrix(dat, nrow=length(longs), ncol=length(lats))[ ,length(lats):1]  if(shift){    block1.ix = which(longs < shift)    block2.ix = which(longs > shift)    mat.shift = rbind(mat[ block2.ix, ], mat[block1.ix, ])     out = mat.shift  }  else{    out = mat  }  out}
创建时间:
2016-11-21
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作