39250224-ccdf-11e8-a6b1-b808cf016134 eng dataset Nans Addor University of East Anglia N.Addor@uea.ac.uk pointOfContact 2018-10-12T17:00:12 ISO 19115 ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/D6G73C3Q https://ncar.github.io/hydrology/datasets/CAMELS_attributes Datatset Website The website provides additional information, including related papers, regarding the dataset. information CAMELS: Catchment Attributes for Large-Sample Studies Catchment attributes and meteorology for large-sample studies. Version 2.0 2017-06-15 publication 2.0 Nans Addor University of East Anglia author Andrew J. Newman UCAR/NCAR - Research Applications Laboratory author Naoki Mizukami UCAR/NCAR - Research Applications Laboratory author Martyn P. Clark UCAR/NCAR - Research Applications Laboratory author UCAR/NCAR publisher US Army Corps of Engineers Climate Preparedness and Resilience Program resourceProvider US Bureau of Reclamation resourceProvider This dataset covers the same 671 catchments as the Large-Sample Hydrometeorological Dataset introduced by Newman et al. (2015). For each catchment, we characterized a wide range of attributes that influence catchment behavior and hydrological processes. Datasets characterizing these attributes have been available separately for some time, but comprehensive multivariate catchment scale assessments have so far been difficult, because these datasets typically have different spatial configurations, are stored in different archives, or use different data formats. By creating catchment scale estimates of these attributes, our aim is to simplify the assessment of their interrelationships. Topographic characteristics (e.g. elevation and slope) were retrieved from Newman et al. (2015). Climatic indices (e.g., aridity and frequency of dry days) and hydrological signatures (e.g., mean annual discharge and baseflow index) were computed using the time series provided by Newman et al. (2015). Soil characteristics (e.g., porosity and soil depth) were characterized using the STATSGO data set and the Pelletier et al. (2016) data set. Vegetation characteristics (e.g. the leaf area index and the rooting depth) were inferred using MODIS data. Geological characteristics (e.g., geologic class and the subsurface porosity) were computed using the GLiM and GLHYMPS data sets. An essential feature, that differentiates this data set from similar ones, is that it both provides quantitative estimates of diverse catchment attributes, and involves assessments of the limitations of the data and methods used to compute those attributes (see Addor et al., 2017). The large number of catchments, combined with the diversity of their geophysical characteristics, makes this new data well suited for large-sample studies and comparative hydrology. The hydrometeorological time series provided by Newman et al. (2015) together with the catchment attributes described here constitute the CAMELS data set: Catchment Attributes and MEteorology for Large-sample Studies. onGoing Nans Addor University of East Anglia N.Addor@uea.ac.uk pointOfContact Nans Addor University of East Anglia N.Addor@uea.ac.uk principalInvestigator ASCII Dataset theme Resource Type 2018-10-10 publication DataCite originator EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > PRECIPITATION INDICATORS EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER > SURFACE WATER FEATURES > RIVERS/STREAMS EARTH SCIENCE > CLIMATE INDICATORS > ATMOSPHERIC/OCEAN INDICATORS > FRESH WATER RIVER DISCHARGE EARTH SCIENCE > LAND SURFACE > SOILS > SOIL DEPTH EARTH SCIENCE > LAND SURFACE > SOILS > SOIL TEXTURE EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS > BEDROCK LITHOLOGY EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS > KARST LANDSCAPE GCMD 2018-07-18 revision GCMD originator When using this dataset, users acknowledge and accept the following: - Terms of Use (https://www.ucar.edu/terms-of-use) - Copyright Issues (https://www.ucar.edu/notification-copyright-infringement-digital-millennium-copyright-act) - Privacy Policy (https://www.ucar.edu/privacy-policy) - Publication and Information Dissemination (https://www2.fin.ucar.edu/policies/3-5-publication-information-dissemination) - Public Access (https://library.ucar.edu/public-access) None vector eng -125 -66 25 50 1980-01-01T00:00:00 2014-12-31T00:00:00 ASCII 1