HydroEO/CITATION.cff at main · DHI/HydroEO · GitHub

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cff-version: 1.2.0
message: >-
  If you use this software, please cite it using the metadata below.
  HydroEO's core timeseries pipeline additionally implements a
  methodology described in Schwatke et al. (2015) -- see the
  "references" section below and HydroEO/utils/filters/basic_filters.py
  -- please cite that publication as well when using the Kalman filter,
  SVR, or windowed ADM-based outlier/uncertainty weighting it
  implements.
title: "HydroEO"
version: "0.1.0"
license: MIT
repository-code: "https://github.com/DHI/HydroEO"
authors:
  - family-names: "Kittel"
    given-names: "Cecile"
    affiliation: "DHI"
  - family-names: "Chewning"
    given-names: "Connor"
    affiliation: "DHI"
  - family-names: "Zalite"
    given-names: "Karlis"
    affiliation: "DHI"
  - family-names: "Monica"
    given-names: "Coppo Frias"
    affiliation: "DHI"
  - family-names: "Sarah"
    given-names: "Franze"
    affiliation: "DHI"
  - family-names: "Paul"
    given-names: "Senty"
    affiliation: "DHI"
references:
  - type: article
    authors:
      - family-names: "Schwatke"
        given-names: "Christian"
      - family-names: "Dettmering"
        given-names: "Denise"
      - family-names: "Bosch"
        given-names: "Wolfgang"
      - family-names: "Seitz"
        given-names: "Florian"
    title: "DAHITI -- an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry"
    journal: "Hydrology and Earth System Sciences"
    volume: 19
    start: 4345
    end: 4364
    year: 2015
    doi: "10.5194/hess-19-4345-2015"
    notes: >-
      HydroEO's core timeseries pipeline (see
      HydroEO/utils/filters/basic_filters.py) follows the windowed
      ADM-based outlier/uncertainty weighting, SVR, and Kalman filter
      approach described in this publication. The multi-mission bias
      correction and mission-combination logic are this codebase's own
      contributions, not sourced from this paper.