CRU and GCM data for SWAT model
type: Dataset
conforms to: http://mlcommons.org/croissant/1.0
creator: Karim Abbaspour
  type: Person
  family name: Abbaspour
  given name: Karim
creator: Saeid Ashraf Vaghefi
  type: Person
  family name: Ashraf Vaghefi
  given name: Saeid
publisher: PANGAEA
  type: Organization
  disambiguating description: Data Publisher for Earth & Environmental Science
included in data catalog: PANGAEA
  type: DataCatalog
  disambiguating description: Data Publisher for Earth & Environmental Science
date published: 2019-05-09
additional type: dataset
description: Historical reanalysis climate data (TMAX, TMIN, PCP) at 0.5o resolution from Climate Research Unit East Anglia (CRU TS 3.1) is reformatted for use in SWAT models. The daily data covers the period of (1970-2005). This data can serve as observed data in regions where observed data is sparse or not available. For future data, we used the ISI-MIP data (Hempel et al., 2013, doi:10.5194/esd-4-219-2013). These were created using five GCM archives as input: HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, GFDL-ESM2M, and NorESM1-M. These models were selected because they had daily data for the period of 1950- 2099 for all Representative Concentration Pathway (RCP) scenarios.
abstract: Historical reanalysis climate data (TMAX, TMIN, PCP) at 0.5o resolution from Climate Research Unit East Anglia (CRU TS 3.1) is reformatted for use in SWAT models. The daily data covers the period of (1970-2005). This data can serve as observed data in regions where observed data is sparse or not available. For future data, we used the ISI-MIP data (Hempel et al., 2013, doi:10.5194/esd-4-219-2013). These were created using five GCM archives as input: HadGEM2-ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, GFDL-ESM2M, and NorESM1-M. These models were selected because they had daily data for the period of 1950- 2099 for all Representative Concentration Pathway (RCP) scenarios.
size: QuantitativeValue
  value: 52.2
  unit text: MBytes
keywords: Climate data; SWAT
license: https://creativecommons.org/licenses/by/4.0/
conditions of access: unrestricted
is accessible for free: true
language: en
distribution: FileObject
  type: DataDownload
  encoding format: application/zip