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Published August 21, 2025 | Version 1.0
Software Open

HidroTools - Integrated Tools for Hydroclimatic Data Analysis

  • 1. ROR icon Universidade Federal de Pernambuco
  • 2. ROR icon Universidade de São Paulo

Contributors

Producer (2):

Description

HidroTools (Integrated Tools for Hydroclimatic Data Analysis) is a set of utilities for the analysis of hydrological and climate data. It performs analyses such as: descriptive statistics, validation (reference data with estimated data), climatological characterization, trend analysis in time series, calculation of extreme climate indices, and drought indices.

The main objective of HidroTools is to act as a bridge between data and science, allowing users to gain insights from their data quickly and practically from a simple .csv file. The entire toolkit is available online at https://www.xhidro.com. The JavaScript applications (HTML + Javascript) for version 1.0 are also provided in this repository.

The tools include:

  • ClimaCalc: Climatological analysis and visualization of meteorological data;

  • Mann-Kendall Trend Test: Analysis of trends in precipitation and temperature time series;

  • Statistical Analysis and Validation: Performs data description and validation using statistical metrics;

  • Climate Indices: Calculates extreme climate indices for precipitation and temperature time series;

  • Drought Indices: Calculates indices and anomalies for the analysis of meteorological, agricultural, and hydrological droughts.

HidroTools is available in version 1.0 and may therefore present some instabilities. New updates will be released in due course, with potential bug fixes and the addition of new tools. All tools have usage instructions in English and Portuguese.

Files

README.pdf

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Additional details

Dates

Created
2025-08-20
Version 1.0

Software

Repository URL
https://www.xhidro.com
Programming language
JavaScript , HTML
Development Status
Active

References

  • McKee, T.B., Doesken, N.J. and Kleist, J. (1993) The Relationship of Drought Frequency and Duration to Time Scales. 8th Conference on Applied Climatology, Anaheim, 17-22 January 1993, 179-184.
  • Wang, F., Shao, W., Yu, H., Kan, G., He, X., Zhang, D., Ren, M., & Wang, G. (2020). Re-evaluation of the power of the Mann-Kendall test for detecting monotonic trends in hydrometeorological time series. Frontiers in Earth Science, 8, Article 14. https://doi.org/10.3389/feart.2020.00014
  • Trenberth, K. E., & Fasullo, J. (2007). Water and energy budgets of hurricanes and implications for climate. *Geophysical Research Letters, 34*(L15838). https://doi.org/10.1029/2007GL032487
  • Klein Tank, A. M. G., Zwiers, F. W., & Zhang, X. (2009). Guidelines on analysis of extremes in a changing climate in support of informed decisions for adaptation. World Meteorological Organization (WMO-TD No. 1500).