Climatologies at high resolution for the earth's land surface areas

1 Jul 2016Dirk Nikolaus KargerOlaf ConradJürgen BöhnerTobias KawohlHolger KreftRodrigo Wilber Soria-AuzaNiklaus ZimmermannH. Peter LinderMichael Kessler

High resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA Climatologies at high resolution for the earths land surface areas data of downscaled model output temperature and precipitation estimates of the ERA Interim climatic reanalysis to a high resolution of 30 arc seconds... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet