Long-term climate series of multiple components of the water cycle
Satellite(s)Modelled. Global datasets of climate re-analyses, which are partly derived from satellite data. | Monitoring elementSatellite/sensor dependent. |
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Description techniqueTerraClimate is a dataset of monthly climate and climatic water balance for global terrestrial surfaces. It uses climatically aided interpolation, combining high-spatial resolution climatological normal from the WorldClim dataset, with coarser spatial resolution, but time-varying data from CRU Ts4.0 and the Japanese 55-year Reanalysis (JRA55). Conceptually, the procedure applies interpolated time-varying anomalies from CRU Ts4.0/JRA55 to the high-spatial resolution climatology of WorldClim to create a high-spatial resolution dataset that covers a broader temporal record. | Accuracy / Resolution2.5 arc minutes (approximately 4.5 km). |
Case studyGlobal climate and water balance data is a possible alternative to, or can be used in conjunction with, NZ data (e.g. VCSN). | |
Also fits domainFreshwater, Land | |
BenefitsAll of the water balance. | LimitationsUncertainty unknown. |
Applicability for NorthlandYes. Ideally it could serve as an interpolator between ground observations. Westerhoff (2015) provides examples of that interpolation. | |
Publication referencesAbatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch, 2018, Terraclimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015, Scientific Data 5:170191, doi:10.1038/sdata.2017.191 https://www.nature.com/articles/sdata2017191 Westerhoff, R.S., 2015. Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates. Remote Sensing of Environment 169, 102–112. | |
Other comments or information1958-2020 daily time series of climate and water balance variables. | |
Other references or linkshttps://developers.google.com/earth-engine/datasets/catalog/IDAHO_EPSCOR_TERRACLIMATE | |