写给Nature的信：Stop using the offensive virus names
《nature》在报道新冠病毒时候，使用的名字都很刺耳，于是我写了一篇短评论给《Nature》。 Stop using the offensive virus names Inappropriate naming of the new human disease inevitably causes prejudice and discrimination upon particular people and
如何在Linux/mac上安装SUNDIALS/CVODE
SUNDIALS: SUite of Nonlinear and DIfferential/ALgebraic Equation Solvers SUNDIALS (https://computing.llnl.gov/projects/sundials) is a very powerful mathematical library that is helpful in solving engineering and scientific problems efficiently. CVODE is one of the tools, aiming to solve Ordinary Differential Equation, in C language. In the Solver of Hydrologic Unstructured Domain (SHUD) model, the system of ODEs describing the hydrological processes is fully coupled and solved simultaneously at each time step ($ \Delta
使用R脚本制作全球NDVI动画
This script is to demonstrate the capability and scheme to realise the animation. You have to prepare your own data for this animation script. Script for Global NDVI rm(list=ls()) library(RoundAndRound) # devtools::install_github('shulele/RoundAndRound') col.fun=function(x){ colorspace::terrain_hcl(x, l=c(65,95), power=c(1/3, 1.5)) } plotStar <- function(x, y, radius, angle=180, xyratio=1, ...){ i <- 1:11 alpha <- 2*pi / 10 r <- radius * (i %% 2 + 1)/2 omega <- alpha * i + angle
怎么看《Nature》报道“中国西北的绿化可能加剧干旱”
先上结论：这篇文章是一个非专业记者的不专业报道。 这是篇新闻( Nature News)，并不是篇科学论文，所以见到《Nature》就膝盖软的先平身。 为什么
2018年IAHS(国际水文学会)选出的23个未解决的水文问题
The 23 unsolved problems in hydrology identified by the community process in 2018. Link of the paper:link Time variability and change Is the hydrological cycle regionally accelerating/decelerating under climate and environmental change, and are there tipping points (irreversible changes)? How will cold region runoff and groundwater change in a warmer climate (e.g. with glacier melt and permafrost thaw)? What are the mechanisms by which climate change and water use alter
2002-201年间美国和全球逐月NDVI的变化动画
The normalized difference vegetation index (NDVI) is a simple graphical indicator that reflect the greenness and the heath condition of vegetations. The raw data is from NASA MOD13A. The global NDVI variation from 2002 to 2017. The NDVI varies from 2002 to 2017 in US (Continental) How to download the rawdata The code of the monthly NDVI from MODIS dataset is MOD13C2, so type the code below in your terminal
