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Worldclim

Visualize world climate data on worldclim.org

Install / Use

/learn @Jianghao/Worldclim
About this skill

Quality Score

0/100

Supported Platforms

Universal

README


title: "Visualize World Climate Data"


Annual Mean Temperature

Altitude (elevation above sea level) (m) (from SRTM)

World monthly minimum temperature

World monthly maximum temperature

World monthly mean temperature

World monthly precipitation

Introduction

WorldClim is a set of global climate layers (climate grids) with a spatial resolution of about 1 square kilometer. The data can be used for mapping and spatial modeling in a GIS or with other computer programs.

Here, we want to visualize the WorldClim data to give research a direct reference.

Information about the methods used to generate the climate layers, and the units and formats of the data. You can find more info in the preferred citation:

Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.

Data prepare

Data download

Data for current conditions (~1950-2000) was downloaded from http://worldclim.org/current. WorldClim has four types of spatial resoluation data for download. Here, we visualized the 2.5 arc-minutes resolution.

Four spatial resulations:

  • 30 arc-seconds (~1 km)
  • 2.5 arc-minutes
  • 5 arc-minutes
  • 10 arc-minutes

Available variables:

  • Min. Temperature: average monthly minimum temperature (°C * 10)
  • Max. Temperature: average monthly maximum temperature (°C * 10)
  • Mean Temperature: average monthly mean temperature (°C * 10)
  • Precipitation: average monthly precipitation (mm)
  • Bioclim: bioclimatic variables derived from the tmean, tmin, tmax and prec
    • BIO1 = Annual Mean Temperature
    • BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp))
    • BIO3 = Isothermality (BIO2/BIO7) (* 100)
    • BIO4 = Temperature Seasonality (standard deviation *100)
    • BIO5 = Max Temperature of Warmest Month
    • BIO6 = Min Temperature of Coldest Month
    • BIO7 = Temperature Annual Range (BIO5-BIO6)
    • BIO8 = Mean Temperature of Wettest Quarter
    • BIO9 = Mean Temperature of Driest Quarter
    • BIO10 = Mean Temperature of Warmest Quarter
    • BIO11 = Mean Temperature of Coldest Quarter
    • BIO12 = Annual Precipitation
    • BIO13 = Precipitation of Wettest Month
    • BIO14 = Precipitation of Driest Month
    • BIO15 = Precipitation Seasonality (Coefficient of Variation)
    • BIO16 = Precipitation of Wettest Quarter
    • BIO17 = Precipitation of Driest Quarter
    • BIO18 = Precipitation of Warmest Quarter
    • BIO19 = Precipitation of Coldest Quarter
  • Altitude: altitude (elevation above sea level) (m) (from SRTM)

Esri Grids to GeoTiff

We convert the orginal ESRI grids format to GeoTiff format with gdal_translate tools.

Visualiztion

We visualize these data with the help of R package named rasterVis.

<script src="https://gist.github.com/Jianghao/7f1fbc9b58586867fa22.js"></script>

Related Skills

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GitHub Stars7
CategoryDevelopment
Updated2y ago
Forks2

Languages

HTML

Security Score

55/100

Audited on Dec 19, 2023

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